MAMA [DCAUT]█ MAMA (MESA Adaptive Moving Average)
📊 OVERVIEW
The MESA Adaptive Moving Average (MAMA) represents an advanced implementation of John F. Ehlers' adaptive moving average system using the Hilbert Transform Discriminator. This indicator automatically adjusts to market cycles, providing superior responsiveness compared to traditional fixed-period moving averages while maintaining smoothness.
MAMA dynamically calculates two lines: the fast-adapting MAMA line and the following FAMA (Following Adaptive Moving Average) line. The system's core strength lies in its ability to automatically detect and adapt to the dominant market cycle, reducing lag during trending periods while providing stability during consolidation phases.
🎯 CORE CONCEPTS
Signal Interpretation:
• MAMA above FAMA: Indicates bullish trend momentum with the fast line leading upward movement
• MAMA below FAMA: Suggests bearish trend momentum with the fast line leading downward movement
• Golden Cross: MAMA crossing above FAMA signals potential upward momentum shift
• Death Cross: MAMA crossing below FAMA indicates potential downward momentum shift
• Line Convergence: MAMA and FAMA approaching each other suggests trend consolidation or potential reversal
Primary Applications:
• Trend Following: Enhanced responsiveness to trend changes compared to traditional moving averages
• Crossover Signals: MAMA/FAMA crossovers for identifying potential entry and exit points
• Cycle Analysis: Automatic adaptation to market's dominant cycle characteristics
• Reduced Lag: Minimized delay in trend detection while maintaining signal smoothness
📐 MATHEMATICAL FOUNDATION
Hilbert Transform Discriminator Technology:
The MAMA system employs John F. Ehlers' Hilbert Transform Discriminator, a sophisticated signal processing technique borrowed from telecommunications engineering. The Hilbert Transform creates a complex representation of the price series by generating a 90-degree phase-shifted version of the original signal, enabling precise cycle measurement.
The discriminator analyzes the instantaneous phase relationships between the original price series and its Hilbert Transform counterpart. This mathematical relationship reveals the dominant cycle period present in the market data at each point in time, forming the foundation for adaptive smoothing.
Instantaneous Period Calculation:
The algorithm computes the instantaneous period using the arctangent of the ratio between the Hilbert Transform and the original price series. This calculation produces a real-time measurement of the market's dominant cycle, typically ranging from short-term noise cycles to longer-term trend cycles.
The instantaneous period measurement undergoes additional smoothing to prevent erratic behavior from single-bar anomalies. This smoothed period value becomes the basis for calculating the adaptive alpha coefficient that controls the moving average's responsiveness.
Dynamic Alpha Coefficient System:
The adaptive alpha calculation represents the core mathematical innovation of MAMA. The alpha coefficient is derived from the instantaneous period measurement and constrained within the user-defined fast and slow limits.
The mathematical relationship converts the measured cycle period into an appropriate smoothing factor: shorter detected cycles result in higher alpha values (increased responsiveness), while longer cycles produce lower alpha values (increased stability). This creates an automatic adaptation mechanism that responds to changing market conditions.
MAMA/FAMA Calculation Process:
The MAMA line applies the dynamically calculated alpha coefficient to an exponential moving average formula: MAMA = alpha × Price + (1 - alpha) × MAMA . The FAMA line then applies a secondary smoothing operation to the MAMA line, creating a following average that provides confirmation signals.
This dual-line approach ensures that the fast-adapting MAMA line captures trend changes quickly, while the FAMA line offers a smoother confirmation signal, reducing the likelihood of acting on temporary price fluctuations.
Cycle Detection Mechanism:
The underlying cycle detection employs quadrature components derived from the Hilbert Transform to measure both amplitude and phase characteristics of price movements. This allows the system to distinguish between genuine trend changes and temporary price noise, automatically adjusting the smoothing intensity accordingly.
The mathematical framework ensures that during strong trending periods with clear directional movement, the algorithm reduces smoothing to minimize lag. Conversely, during consolidation phases with mixed signals, increased smoothing helps filter out false breakouts and whipsaws.
📋 PARAMETER CONFIGURATION
Source Selection Strategy:
• HL2 (High+Low)/2 (Default): Recommended for cycle analysis as it represents the midpoint of each period's trading range, reducing impact of opening gaps and closing spikes
• Close Price: Traditional choice reflecting final market sentiment, suitable for end-of-day analysis
• HLC3 (High+Low+Close)/3: Balanced approach incorporating range information with closing emphasis
• OHLC4 (Open+High+Low+Close)/4: Most comprehensive price representation for complete market view
Fast Limit Configuration (Default 0.5):
Controls the maximum responsiveness of the adaptive system. Higher values increase sensitivity to recent price changes but may introduce more noise. This parameter sets the upper bound for the dynamic alpha calculation.
Slow Limit Configuration (Default 0.05):
Determines the minimum responsiveness, providing stability during uncertain market conditions. Lower values increase smoothing but may cause delayed signals. This parameter sets the lower bound for the dynamic alpha calculation.
Parameter Relationship Considerations:
The fast and slow limits work together to define the adaptive range. The wider the range between these limits, the more dramatic the adaptation between trending and consolidating market conditions. Different market characteristics may benefit from different parameter configurations, requiring individual testing and validation.
📊 COLOR CODING SYSTEM
Line Visualization:
• Green Line (MAMA): The fast-adapting moving average that responds quickly to price changes
• Red Line (FAMA): The following adaptive moving average that provides confirmation signals
The fixed color scheme provides consistent visual identification of each line, enabling clear differentiation between the fast-adapting MAMA and the following FAMA throughout all market conditions.
💡 CORE VALUE PROPOSITION
Advantages Over Traditional Moving Averages:
• Cycle Adaptation: Automatically adjusts to market's dominant cycle rather than using fixed periods
• Reduced Lag: Faster response to genuine trend changes while filtering market noise
• Mathematical Foundation: Based on advanced signal processing techniques from telecommunications engineering
• Dual-Line System: Provides both fast adaptation (MAMA) and confirmation (FAMA) in one indicator
Comparative Performance Characteristics:
Unlike fixed-period moving averages that apply the same smoothing regardless of market conditions, MAMA adapts its behavior based on current market cycle characteristics. This may help reduce whipsaws during consolidation periods while maintaining responsiveness during trending phases.
Usage Considerations:
This indicator is designed for technical analysis purposes. The adaptive nature means that parameter optimization should consider the specific characteristics of the asset and timeframe being analyzed. Like all technical indicators, MAMA should be used as part of a comprehensive analysis approach rather than as a standalone signal generator.
Alert Functionality:
The indicator includes alert conditions for MAMA/FAMA crossovers, enabling automated notification of potential momentum shifts. These alerts can assist in timing analysis but should be combined with other forms of market analysis for decision-making purposes.
Hareketli Ortalamalar
Multi-MA Trend Indicator with ATR by nkChartsThe MMA-ATR is a powerful all-in-one tool that combines multi-timeframe Moving Averages with ATR-based Stop Loss & Take Profit levels. It is designed to help traders quickly assess trend direction, volatility, and potential trade levels in one clean visual setup.
Key Features
Multi-MA Trend Detection
Plots 5 customizable moving averages (choose from EMA, SMA, RMA, WMA, VWMA).
Automatic color coding: Bullish (green), Bearish (red), Neutral (gray).
MA Trend Table with:
MA values
Current chart trend
Higher timeframe (Daily) trend confirmation
ATR-Based Trade Levels
Dynamic Stop Loss (SL) and Take Profit (TP) levels based on ATR multipliers.
Separate visual lines for long and short setups.
ATR Table with:
ATR value for the current chart timeframe
ATR value for the Daily timeframe
Customizations
Choose MA type, length, and price source.
Customize bullish, bearish, and neutral colors.
Adjustable table position and text size.
Fully configurable ATR length, multipliers, and colors.
How to Use
Add the indicator to your chart.
Use the MA Trend Table to identify short-term and higher timeframe trend direction.
Refer to ATR-based SL/TP levels to manage risk and potential profit targets.
Combine both to filter entries and improve trade timing.
Best For
Swing traders and intraday traders who rely on trend confirmation and volatility-based risk management.
Traders looking for a multi-timeframe confirmation system that reduces noise.
⚠️ Disclaimer: This indicator is for educational purposes only. It does not provide financial advice or guarantee profits. Always perform your own analysis before making trading decisions.
Parabolic SAR BY CARLOZ🔹 What is the Parabolic SAR?
The Parabolic SAR (developed by Welles Wilder) is a trend-following indicator used to identify potential entry and exit points in the market.
🔹 What does “SAR” mean?
SAR = Stop And Reverse.
It suggests where to place a stop loss and also indicates when to reverse a position (from long to short or short to long).
🔹 How does it look on the chart?
It appears as a series of dots above or below the price:
Dots below price → bullish signal (uptrend).
Dots above price → bearish signal (downtrend).
🐬TSI_ShadowAdded the following features to the original TSI Shadow indicator by Daveatt
- Candle color on/off
=> Displays the current trend status by coloring the chart candles.
- Background color on/off
=> Displays the current trend status by coloring the chart background.
- Conservative signal processing based on the zero line on/off
=> When calculating the trend with the TSI, a bullish trend is only confirmed above the zero line, and a bearish trend is only confirmed below the zero line.
- Conservative signal processing based on full signal alignment on/off
=> This enhances the original trend calculation (bullish when TSI and Fast MA are above Slow MA). With this option, the trend is determined by the specific alignment of all three lines: TSI, Fast MA, and Slow MA.
기존 Daveatt 유저가 개발한 TSI Shadow 에서 아래 기능을 추가 하였습니다.
- 캔들 색상 on/off
=> 캔들에 추세의 상태를 색상으로 나타냅니다.
- 배경 색상 on/off
=> 배경에 추세의 상태를 색상으로 나타냅니다.
- 0선 기준으로 신호 발생 보수적 처리 on/off
=> TSI로 추세를 계산할 때 0선 위에서는 매수추세, 0선 아래서는 매도추세를 계산합니다.
- 전체 배열 신호 발생 보수적 처리 on/off
=> TSI선과, FastMA 선이 SlowMA 위에 있을때 상승추세, 반대면 하락추세를 나타내 주던 계산식에서 TSI-FastMA-SlowMA 세가지 선의 배열 상태로 추세를 나타냅니다.
Adaptive HMA SignalsAdaptive HMA Signals
This indicator pairs nicely with the Contrarian 100 MA and can be located here:
Overview
The "Adaptive HMA Signals" indicator is a sophisticated technical analysis tool designed for traders aiming to capture trend changes with precision. By leveraging Hull Moving Averages (HMAs) that adapt dynamically to market conditions (volatility or volume), this indicator generates actionable buy and sell signals based on price interactions with adaptive HMAs and slope analysis. Optimized for daily charts, it is highly customizable and suitable for trading forex, stocks, cryptocurrencies, or other assets. The indicator is ideal for swing traders and trend followers seeking to time entries and exits effectively.
How It Works
The indicator uses two adaptive HMAs—a primary HMA and a minor HMA—whose periods adjust dynamically based on user-selected market conditions (volatility via ATR or volume via RSI). It calculates the slope of the primary HMA to identify trend strength and generates exit signals when the price crosses the minor HMA under specific slope conditions. Signals are plotted as circles above or below the price, with inverted colors (white for buy, blue for sell) to enhance visibility on any chart background.
Key Components
Adaptive HMAs: Two HMAs (primary and minor) with dynamic periods that adjust based on volatility (ATR-based) or volume (RSI-based) conditions. Periods range between user-defined minimum and maximum values, adapting by a fixed percentage (3.141%).
Slope Analysis: Calculates the slope of the primary HMA over a 34-bar period to gauge trend direction and strength, normalized using market range data.
Signal Logic: Generates buy signals (white circles) when the price falls below the minor HMA with a flat or declining slope (indicating a potential trend reversal) and sell signals (blue circles) when the price rises above the minor HMA with a flat or rising slope.
Signal Visualization: Plots signals at an offset based on ATR for clarity, using semi-transparent colors to avoid chart clutter.
Mathematical Concepts
Dynamic Period Adjustment:
Primary HMA period adjusts between minLength (default: 144) and maxLength (default: 200).
Minor HMA period adjusts between minorMin (default: 55) and minorMax (default: 89).
Periods decrease by 3.141% under high volatility/volume and increase otherwise.
HMA Calculation:
Uses the Hull Moving Average formula: WMA(2 * WMA(src, length/2) - WMA(src, length), sqrt(length)).
Provides a smoother, faster-responding moving average compared to traditional MAs.
Slope Calculation:
Computes the slope of the primary HMA using a 34-bar period, normalized by the market range (highest high - lowest low over 34 bars).
Slope angle is converted to degrees using arccosine for intuitive trend strength interpretation.
Signal Conditions:
Buy: Slope ≥ 17° (flat or rising), price < minor HMA, low volatility/volume.
Sell: Slope ≤ -17° (flat or declining), price > minor HMA, low volatility/volume.
Signals are triggered only on confirmed bars to avoid repainting.
Entry and Exit Rules
Buy Signal (White Circle): Triggered when the price crosses below the minor HMA, the slope of the primary HMA is flat or rising (≥17°), and volatility/volume is low. The signal appears as a white circle above the price bar, offset by 0.72 * ATR(5).
Sell Signal (Blue Circle): Triggered when the price crosses above the minor HMA, the slope of the primary HMA is flat or declining (≤-17°), and volatility/volume is low. The signal appears as a blue circle below the price bar, offset by 0.72 * ATR(5).
Exit Rules: Exit a buy position on a sell signal and vice versa. Combine with other tools (e.g., support/resistance, RSI) for additional confirmation. Always apply proper risk management.
Recommended Usage
The "Adaptive HMA Signals" indicator is optimized for daily charts but can be adapted to other timeframes (e.g., 1H, 4H) with adjustments to period lengths. It performs best in trending or range-bound markets with clear reversal points. Traders should:
Backtest the indicator on their chosen asset and timeframe to validate signal reliability.
Combine with other technical tools (e.g., trendlines, Fibonacci retracements) for stronger trade setups.
Adjust minLength, maxLength, minorMin, and minorMax based on market volatility and timeframe.
Use the Charger input to toggle between volatility (ATR) and volume (RSI) adaptation for optimal performance in specific market conditions.
Customization Options
Source: Choose the price source (default: close).
Show Signals: Toggle visibility of buy/sell signals (default: true).
Charger: Select adaptation trigger—Volatility (ATR-based) or Volume (RSI-based) (default: Volatility).
Main HMA Periods: Set minimum (default: 144) and maximum (default: 200) periods for the primary HMA.
Minor HMA Periods: Set minimum (default: 55) and maximum (default: 89) periods for the minor HMA.
Slope Period: Fixed at 34 bars for slope calculation, adjustable via code if needed.
Why Use This Indicator?
The "Adaptive HMA Signals" indicator combines the responsiveness of HMAs with dynamic adaptation to market conditions, offering a robust tool for identifying trend reversals. Its clear visual signals, customizable periods, and adaptive logic make it versatile for various markets and trading styles. Whether you’re a beginner or an experienced trader, this indicator enhances your ability to time entries and exits with precision.
Tips for Users
Test the indicator thoroughly on your chosen market and timeframe to optimize settings (e.g., adjust period lengths for non-daily charts).
Use in conjunction with price action or other indicators (e.g., RSI, MACD) for stronger trade confirmation.
Monitor volatility/volume conditions to ensure the Charger setting aligns with market dynamics.
Ensure your chart timeframe aligns with the selected period lengths for accurate signal generation.
Apply strict risk management to protect against false signals in choppy markets.
Happy trading with the Adaptive HMA Signals indicator! Share your feedback and strategies in the TradingView community!
MAs+Engulfing O caminho das Criptos
This indicator overlays multiple moving averages (EMAs 20/50/100/200 and SMA 200) and highlights bullish/bearish engulfing candles by dynamically coloring the candle body. When a bullish engulfing is detected, the candle appears as a strong dark green; for bearish engulfing, a more vivid red. Normal candles keep classic lime/red colors. Visual alerts and bar coloring make price-action patterns instantly visible.
Includes built-in alert conditions for both patterns, supporting both trading automation and education. The tool upgrades trend-following setups by combining structure with automatic price action insights.
Este indicador combina médias móveis (EMAs de 20/50/100/200 e SMA 200) com detecção de engolfo de alta/baixa, colorindo o candle automaticamente: engolfo de alta com verde escuro, engolfo de baixa com vermelho destacado. Inclui alertas automáticos para ambos os padrões, perfeito para análise visual, estratégia, ou ensino.
DEMARED with ATR StopLoss & Dynamic Risk (v5)DEMARED with ATR StopLoss & Dynamic Risk
This strategy combines Double Exponential Moving Averages (DEMA) with EMA and Donchian midline filters to capture trend-following signals. A long entry is triggered when both DEMA pairs are aligned bullishly, price is above EMA, and above the Donchian midpoint. Exits occur on opposite signals or when the ATR-based stop loss is hit.
Key features:
ATR Stop Loss: dynamic stop based on ATR with user-defined multiplier.
Dynamic Risk Management: position size is automatically calculated based on account equity and risk percentage.
Visualization: plots stop loss, EMA, Donchian midline, and optional bar coloring.
Flexible Display: toggle all indicator visuals on/off with a single input.
The goal is to provide a trend-following system with controlled risk and adaptability across different markets and timeframes.
34 EMA Cross Alert (Once per sequence)This script is used when 5-12 EMA is above 34-50 EMA and if price corrects to 34-50 cloud and bounces i.e. price crosses below 34 EMA and then cross above 34 EMA, it will trigger alert.
Trend TraderThe Trend Trader indicator is a trend-following tool based on a triple EMA (Exponential Moving Average) setup designed to help traders identify market direction and potential reversal zones. It plots three customizable EMAs on the chart to highlight bullish and bearish momentum, then generates trade signals when price shows a strong likelihood of continuing in the direction of the prevailing trend.
EMA Alignment: The indicator checks for bullish stacking (fast EMA above medium, medium above slow) and bearish stacking (fast EMA below medium, medium below slow). This alignment defines the prevailing market trend.
Trend Validation: A user-defined lookback period ensures signals are only taken if the market recently displayed a stacked trend, thus filtering false entries during consolidations.
Signal Generation: Buy signals appear when price dips into the zone between the fast and medium EMAs during a bullish trend. Sell signals appear when price rallies into the zone between the fast and medium EMAs during a bearish trend.
Alerts: Built-in alerts notify traders of new trade opportunities without having to constantly watch the chart.
This indicator is suitable for swing trading and intraday strategies across multiple markets, including forex, stocks, indices, and crypto.
Suggested Strategy for Profitability
This tool is best used as part of a structured trend-trading plan. Below is a suggested framework:
Entry Rules
Long (Buy Trade):
Confirm that EMA alignment is bullish (EMA1 > EMA2 > EMA3).
Wait for a Buy Signal (triangle up below price).
Ensure the higher timeframe (e.g., 4H if trading 1H) trend is also bullish to filter trades.
Short (Sell Trade):
Confirm EMA alignment is bearish (EMA1 < EMA2 < EMA3).
Wait for a Sell Signal (triangle down above price).
Higher timeframe should also be bearish to increase probability.
Stop Loss
For long positions, place the stop loss just below EMA3 or the most recent swing low.
For short positions, place the stop loss just above EMA3 or the most recent swing high.
Take Profit
Conservative: Set TP at 1.5x to 2x the stop loss distance.
Aggressive: Trail stop loss below EMA2 (for longs) or above EMA2 (for shorts) to capture larger trends.
Risk Management
Use no more than 1–2% of account risk per trade.
Trade only when the signal aligns with overall market context (higher timeframe, support/resistance, or volume confirmation).
This indicator is very similar to the indicator "Trend Scalper" by the same developer, the difference is this indicator is used to just find the trade and hold the trade or to find the reversal of a trend instead of triggering alerts every time price enters between EMA1 and EMA2.
AlgoAIDESIGNED FOR HEIKEN ASHI BARS
Gain Access here: algoai.store
AlgoAI
The Dark Edge of Trading
An AI-powered TradingView strategy that thrives across all markets. Short altcoin pumps. Ride NAS100 waves. Dominate gold, FX, stocks, and futures — all with one AI brain.
#1
Semi-Automatic Trading (Recommended)
Set up alerts on AlgoAI signals. As they come in, grade the setups and choose to enter manually. This gives you full control while leveraging AI precision.
#2
Fully Automated Trading
Pass signals via webhooks to TradersPost for futures or PineConnector for FX. Note: When running fully automated, it's suggested to use long-only or short-only mode to avoid side swiping and potential unintended drawdown.
BITSTAMP:BTCUSD
Hidden HybridHidden Hybrid or Sakli Katişik is an unique system by me for traders. I hope you found this so effective for your works. With regards,
3MA/EMA Alerts指标名称（中文/英文）
中文名：多均线趋势指标（带上穿与金叉提醒）
英文名：Multi MA/EMA Trend Indicator (with Price & Golden Cross Alerts)
指标功能介绍（中文）
多均线趋势指标（带上穿与金叉提醒） 是一个可自定义的均线工具，适用于趋势分析和交易信号提醒。
核心功能：
多均线显示
默认显示 EMA20，EMA80/200 可选择显示
每条均线可独立选择 EMA 或 SMA
自定义颜色和线宽
价格上穿均线提醒
当价格向上突破任意开启的均线时触发提醒
可用于捕捉短线趋势启动点
金叉提醒
当短期均线向上穿过中长期均线时触发提醒
可用于捕捉潜在的趋势反转或加速
中文 UI
参数和提醒信息均为中文，便于快速理解和使用
适用场景
趋势确认
趋势反转捕捉
短线入场和长期持仓参考
Indicator Description (English)
Multi MA/EMA Trend Indicator (with Price & Golden Cross Alerts) is a customizable moving average tool for trend analysis and trading alerts.
Key Features:
Multiple Moving Averages
Default display: EMA20; EMA80/200 optional
Each MA can be set as EMA or SMA individually
Customizable colors and line widths
Price Cross Alerts
Alerts when price crosses above any active MA
Helps identify short-term trend initiation points
Golden Cross Alerts
Alerts when a short-term MA crosses above a mid/long-term MA
Useful for detecting trend acceleration or reversal signals
User-Friendly Interface
Parameters and alerts are labeled in Chinese (can be translated)
Applications
Trend confirmation
Trend reversal detection
Short-term entries and long-term position guidance
Mark Minervini Trend Template Candles📊 Mark Minervini Trend Template (Enhanced)
This script brings Mark Minervini’s famous Trend Template directly onto your TradingView charts — combining candle coloring, moving averages, trend checks, and a live criteria table into one tool.
🔎 What it does:
Candle Coloring: Each bar is colored on a gradient from red → yellow → light green → strong green, depending on how many of the 10 Trend Template rules are satisfied.
Key Moving Averages: Plots the 50-day, 150-day, and 200-day SMAs with distinct colors.
52-Week Context: Checks if the stock is trading near its yearly highs/lows.
Relative Strength vs. S&P 500: Scales performance into a percentile rank (0–100).
Trend Template Table: A neat table appears on the right-hand side of the chart, showing:
Each of the 10 Minervini rules ✅ / ❌
Current values (relative strength, % from 52-week high/low)
Total score out of 10
✅ Benefits:
Quickly spot whether a stock meets Minervini’s strict criteria for strong uptrends.
Use the color-coded candles for fast visual scanning.
Get a transparent checklist (no guesswork) with real-time updates.
📈 Ideal For :
Swing traders & growth investors who follow Mark Minervini’s methodology.
Traders who want a visual, rule-based filter to focus only on the strongest stocks.
顺序三连穿越：2/3先入 + 3/3加仓（仅低波动过滤）策略描述（中文）
本策略基于 顺序三连穿越 原则：当 MA5 依次上穿 MA10、MA30、MA60 时，触发趋势做多信号；反之依次下穿时触发做空信号。
在完成 2/3 穿越时即可先行入场，完成 3/3 穿越时可选择加仓确认。
为减少震荡磨损，策略引入了布林带带宽过滤：当市场波动率过低时禁止入场。同时设有 冷静期，避免刚出场后立即反复进场。
该系统适用于趋势性较强或弱趋势行情，能够较好地捕捉单边走势，但在长时间震荡行情中仍可能遭遇利润侵蚀。
Strategy Description (English)
This strategy is built on the Sequential Triple Crossover principle:
When the 5-period moving average (MA5) sequentially crosses above MA10, MA30, and MA60, a bullish entry is triggered.
Conversely, when MA5 sequentially crosses below MA10, MA30, and MA60, a bearish entry is triggered.
An early entry is allowed once 2 out of 3 crossovers are completed, while the final crossover (3/3) can optionally serve as a confirmation add-on position.
To mitigate losses in choppy conditions, the system uses a Bollinger Bandwidth filter that blocks entries when volatility is too low. A cooldown period is also implemented to avoid immediate re-entries after closing a trade.
This setup performs well in trending or weak-trend environments, capturing directional moves effectively, but may still suffer from profit erosion during prolonged sideways markets.
MA and Minervini Trend Template CriteriaThis indicator implements the Mark Minervini Trend Template criteria for easy identification of trending stocks on TradingView charts.
It calculates and plots five key moving averages (10, 20, 50, 150, 200-day) using configurable EMA or SMA types.
The indicator evaluates a set of key technical conditions based on these moving averages and 52-week price extremes to score if a stock meets Minervini’s trend rules.
Visually, it overlays the MAs and displays a green or red dot above each candle indicating if all criteria are met or not.
An optional, detailed table shows the pass/fail status of each individual criterion in a clear, color-coded format with check marks and crosses.
Users can toggle this detailed view on or off, and when off, a concise summary with a colored dot is displayed on the chart with configurable size and position for minimal distraction.
This tool helps traders quickly assess whether a stock currently aligns with Mark Minervini’s proven trend criteria, assisting in better trade timing and stock selection strategies.
EMA & BarCountNothing. EMA & Bar Count
Nothing. EMA & Bar Count
Nothing. EMA & Bar Count
Nothing. EMA & Bar Count
Nothing. EMA & Bar Count
Thanks .
Price Deviation StrategyThis strategy getting in long position only after the price drop
The % of the drop is Determined by SMA for the first trade
The inputs of SMA and % of the drop can be adjust from the User
After that bot start taking safe trades if not take profit from the first trade
The safe trades are Determined by step down deviation % and by quantity
There is no Stop loss is not for one with small tolerance to getting under
Take profit is average price + take profit - note if you use % trailing profit back test is not realistic but is working on real time
Max Safe Trades = 15
Capital max = $30000
Doge-USDT is just a example What the Strategy Can do
Green line - take profit
Black line - Brake even with fee - adjust for exchange
PSAR+EMA+Hull+BBDescription
This all-in-one indicator combines four proven tools:
Parabolic SAR (Everget) — trend direction and potential reversals.
Exponential Moving Averages (20/50/100/200) — customizable lengths, colors, and offsets.
Hull Suite (InSilico) — smooth trend detection with multiple variations (HMA, THMA, EHMA).
Bollinger Bands — volatility and dynamic support/resistance.
Features
Toggle each module on/off in settings.
Fully configurable inputs (lengths, colors, offsets, multipliers).
Optional PSAR labels, highlights, and state fill.
Hull can color candles, draw band fills, and pull from higher timeframes.
Bollinger Bands include multiple basis types, stdev multipliers, and fill transparency.
Built-in alerts: PSAR direction change, Hull trending up/down.
Category
Trend Analysis (with Volatility as secondary).
Bollinger Bands with 4 Moving AveragesCombines Bollinger Bands (BB) with up to four optional Moving Averages (MA) to read volatility, trend direction, and dynamic support–resistance in one overlay.
How It Works
BB: basis = MA(length, type) with standard deviation mult. upper = basis + dev, lower = basis − dev.
MA1–MA4: additional averages you can toggle (default only MA4/200 enabled).
Key Features
Flexible basis MA type for BB: SMA / EMA / RMA (Wilder) / WMA / VWMA.
Four optional MAs with independent length, color, and width (defaults: 7, 25, 99, 200; only 200 on by default).
Offset to shift BB for visual testing.
Overlay on price with shaded band between Upper–Lower.
Inputs & Defaults
BB Length = 20, StdDev = 2.0, Source = close.
Basis MA Type = SMA.
MA4 active (200), MA1–MA3 off (7/25/99 ready).
Offset = 0.
Practical Use
Use BB for volatility context: squeeze → potential breakout; expansion → strong trend.
Treat Basis / Upper / Lower as dynamic levels:
Pullbacks to Basis often become decision zones in trends.
Upper/Lower touches = relative extremes.
Add MA4(200) for primary bias; enable MA1–MA3 for finer timing.
Typical behavior:
Price > MA200 and rising basis → bullish bias; watch pullbacks to basis/MA25-like zones.
Price < MA200 and falling basis → bearish bias; watch rejections at basis/MAs.
Common Signals (not financial advice)
Breakout + BB expansion confirms momentum.
Squeeze + basis break can preface volatility expansion.
Confluence: Lower touch + fast MA in uptrends → mean-reversion setups; inverse for downtrends.
Notes
MA1–MA4 are SMA in the code; BB basis follows the selected MA type.
Test across timeframes; tune length and mult to the asset.
Disclaimer
Visual tool only. Combine with risk management, multi-timeframe confirmation, and a tested plan.
Delta Volume Signals by Claudio [hapharmonic]Modifications:
Percentages without decimals.
I replaced the 'Current Volume' row with two boxes: "Δ Vol" and its value, which changes color depending on the direction of the bearish/bullish candle.
Signals can change color in the settings.
Box spacing so the table doesn't constantly change size.
To be modified:
The Net Volume sign shouldn't change to negative when the candle is red.
If anyone does this, let me know...
claudio.ventola@hotmail.com
Best regards!
Customizable MA 10/20/50/100/200Customizable EMA/SMA indicator. Select EMA (default) or SMA and support up to 5 timeframes.
Volume Delta Volume Signals by Claudio [hapharmonic]// This Pine Script™ code is subject to the terms of the Mozilla Public License 2.0 at mozilla.org
// © hapharmonic
//@version=6
FV = format.volume
FP = format.percent
indicator('Volume Delta Volume Signals by Claudio ', format = FV, max_bars_back = 4999, max_labels_count = 500)
//------------------------------------------
// Settings |
//------------------------------------------
bool usecandle = input.bool(true, title = 'Volume on Candles',display=display.none)
color C_Up = input.color(#12cef8, title = 'Volume Buy', inline = ' ', group = 'Style')
color C_Down = input.color(#fe3f00, title = 'Volume Sell', inline = ' ', group = 'Style')
// ✅ Nueva entrada para colores de señales
color buySignalColor = input.color(color.new(color.green, 0), "Buy Signal Color", group = "Signals")
color sellSignalColor = input.color(color.new(color.red, 0), "Sell Signal Color", group = "Signals")
string P_ = input.string(position.top_right,"Position",options = ,
group = "Style",display=display.none)
string sL = input.string(size.small , 'Size Label', options = , group = 'Style',display=display.none)
string sT = input.string(size.normal, 'Size Table', options = , group = 'Style',display=display.none)
bool Label = input.bool(false, inline = 'l')
History = input.bool(true, inline = 'l')
// Inputs for EMA lengths and volume confirmation
bool MAV = input.bool(true, title = 'EMA', group = 'EMA')
string volumeOption = input.string('Use Volume Confirmation', title = 'Volume Option', options = , group = 'EMA',display=display.none)
bool useVolumeConfirmation = volumeOption == 'none' ? false : true
int emaFastLength = input(12, title = 'Fast EMA Length', group = 'EMA',display=display.none)
int emaSlowLength = input(26, title = 'Slow EMA Length', group = 'EMA',display=display.none)
int volumeConfirmationLength = input(6, title = 'Volume Confirmation Length', group = 'EMA',display=display.none)
string alert_freq = input.string(alert.freq_once_per_bar_close, title="Alert Frequency",
options= ,group = "EMA",
tooltip="If you choose once_per_bar, you will receive immediate notifications (but this may cause interference or indicator repainting).
However, if you choose once_per_bar_close, it will wait for the candle to confirm the signal before notifying.",display=display.none)
//------------------------------------------
// UDT_identifier |
//------------------------------------------
type OHLCV
float O = open
float H = high
float L = low
float C = close
float V = volume
type VolumeData
float buyVol
float sellVol
float pcBuy
float pcSell
bool isBuyGreater
float higherVol
float lowerVol
color higherCol
color lowerCol
//------------------------------------------
// Calculate volumes and percentages |
//------------------------------------------
calcVolumes(OHLCV ohlcv) =>
var VolumeData data = VolumeData.new()
data.buyVol := ohlcv.V * (ohlcv.C - ohlcv.L) / (ohlcv.H - ohlcv.L)
data.sellVol := ohlcv.V - data.buyVol
data.pcBuy := data.buyVol / ohlcv.V * 100
data.pcSell := 100 - data.pcBuy
data.isBuyGreater := data.buyVol > data.sellVol
data.higherVol := data.isBuyGreater ? data.buyVol : data.sellVol
data.lowerVol := data.isBuyGreater ? data.sellVol : data.buyVol
data.higherCol := data.isBuyGreater ? C_Up : C_Down
data.lowerCol := data.isBuyGreater ? C_Down : C_Up
data
//------------------------------------------
// Get volume data |
//------------------------------------------
ohlcv = OHLCV.new()
volData = calcVolumes(ohlcv)
// Plot volumes and create labels
plot(ohlcv.V, color=color.new(volData.higherCol, 90), style=plot.style_columns, title='Total',display = display.all - display.status_line)
plot(ohlcv.V, color=volData.higherCol, style=plot.style_stepline_diamond, title='Total2', linewidth = 2,display = display.pane)
plot(volData.higherVol, color=volData.higherCol, style=plot.style_columns, title='Higher Volume', display = display.all - display.status_line)
plot(volData.lowerVol , color=volData.lowerCol , style=plot.style_columns, title='Lower Volume',display = display.all - display.status_line)
S(D,F)=>str.tostring(D,F)
volStr = S(math.sign(ta.change(ohlcv.C)) * ohlcv.V, FV)
buyVolStr = S(volData.buyVol , FV )
sellVolStr = S(volData.sellVol , FV )
// ✅ MODIFICACIÓN: Porcentaje sin decimales
buyPercentStr = str.tostring(math.round(volData.pcBuy)) + " %"
sellPercentStr = str.tostring(math.round(volData.pcSell)) + " %"
totalbuyPercentC_ = volData.buyVol / (volData.buyVol + volData.sellVol) * 100
sup = not na(ohlcv.V)
if sup
TC = text.align_center
CW = color.white
var table tb = table.new(P_, 6, 6, bgcolor = na, frame_width = 2, frame_color = chart.fg_color, border_width = 1, border_color = CW)
tb.cell(0, 0, text = 'Volume Candles', text_color = #FFBF00, bgcolor = #0E2841, text_halign = TC, text_valign = TC, text_size = sT)
tb.merge_cells(0, 0, 5, 0)
tb.cell(0, 1, text = 'Current Volume', text_color = CW, bgcolor = #0B3040, text_halign = TC, text_valign = TC, text_size = sT)
tb.merge_cells(0, 1, 1, 1)
tb.cell(0, 2, text = 'Buy', text_color = #000000, bgcolor = #92D050, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(1, 2, text = 'Sell', text_color = #000000, bgcolor = #FF0000, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(0, 3, text = buyVolStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(1, 3, text = sellVolStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(0, 5, text = 'Net: ' + volStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
tb.merge_cells(0, 5, 1, 5)
tb.cell(0, 4, text = buyPercentStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
tb.cell(1, 4, text = sellPercentStr, text_color = CW, bgcolor = #074F69, text_halign = TC, text_valign = TC, text_size = sT)
cellCount = 20
filledCells = 0
for r = 5 to 1 by 1
for c = 2 to 5 by 1
if filledCells < cellCount * (totalbuyPercentC_ / 100)
tb.cell(c, r, text = '', bgcolor = C_Up)
else
tb.cell(c, r, text = '', bgcolor = C_Down)
filledCells := filledCells + 1
filledCells
if Label
sp = ' '
l = label.new(bar_index, ohlcv.V,
text=str.format('Net: {0} Buy: {1} ({2}) Sell: {3} ({4}) {5}/\ {5}l {5}l',
volStr, buyVolStr, buyPercentStr, sellVolStr, sellPercentStr, sp),
style=label.style_none, textcolor=volData.higherCol, size=sL, textalign=text.align_left)
if not History
(l ).delete()
//------------------------------------------
// Draw volume levels on the candlesticks |
//------------------------------------------
float base = na,float value = na
bool uc = usecandle and sup
if volData.isBuyGreater
base := math.min(ohlcv.O, ohlcv.C)
value := base + math.abs(ohlcv.O - ohlcv.C) * (volData.pcBuy / 100)
else
base := math.max(ohlcv.O, ohlcv.C)
value := base - math.abs(ohlcv.O - ohlcv.C) * (volData.pcSell / 100)
barcolor(sup ? color.new(na, na) : ohlcv.C < ohlcv.O ? color.red : color.green,display = usecandle? display.all:display.none)
UseC = uc ? volData.higherCol:color.new(na, na)
plotcandle(uc?base:na, uc?base:na, uc?value:na, uc?value:na,
title='Body', color=UseC, bordercolor=na, wickcolor=UseC,
display = usecandle ? display.all - display.status_line : display.none, force_overlay=true,editable=false)
plotcandle(uc?ohlcv.O:na, uc?ohlcv.H:na, uc?ohlcv.L:na, uc?ohlcv.C:na,
title='Fill', color=color.new(UseC,80), bordercolor=UseC, wickcolor=UseC,
display = usecandle ? display.all - display.status_line : display.none, force_overlay=true,editable=false)
//------------------------------------------------------------
// Plot the EMA and filter out the noise with volume control. |
//------------------------------------------------------------
float emaFast = ta.ema(ohlcv.C, emaFastLength)
float emaSlow = ta.ema(ohlcv.C, emaSlowLength)
bool signal = emaFast > emaSlow
color c_signal = signal ? C_Up : C_Down
float volumeMA = ta.sma(ohlcv.V, volumeConfirmationLength)
bool crossover = ta.crossover(emaFast, emaSlow)
bool crossunder = ta.crossunder(emaFast, emaSlow)
isVolumeConfirmed(source, length, ma) =>
math.sum(source > ma ? source : 0, length) >= math.sum(source < ma ? source : 0, length)
bool ISV = isVolumeConfirmed(ohlcv.V, volumeConfirmationLength, volumeMA)
bool crossoverConfirmed = crossover and (not useVolumeConfirmation or ISV)
bool crossunderConfirmed = crossunder and (not useVolumeConfirmation or ISV)
PF = MAV ? emaFast : na
PS = MAV ? emaSlow : na
p1 = plot(PF, color = c_signal, editable = false, force_overlay = true, display = display.pane)
plot(PF, color = color.new(c_signal, 80), linewidth = 10, editable = false, force_overlay = true, display = display.pane)
plot(PF, color = color.new(c_signal, 90), linewidth = 20, editable = false, force_overlay = true, display = display.pane)
plot(PF, color = color.new(c_signal, 95), linewidth = 30, editable = false, force_overlay = true, display = display.pane)
plot(PF, color = color.new(c_signal, 98), linewidth = 45, editable = false, force_overlay = true, display = display.pane)
p2 = plot(PS, color = c_signal, editable = false, force_overlay = true, display = display.pane)
plot(PS, color = color.new(c_signal, 80), linewidth = 10, editable = false, force_overlay = true, display = display.pane)
plot(PS, color = color.new(c_signal, 90), linewidth = 20, editable = false, force_overlay = true, display = display.pane)
plot(PS, color = color.new(c_signal, 95), linewidth = 30, editable = false, force_overlay = true, display = display.pane)
plot(PS, color = color.new(c_signal, 98), linewidth = 45, editable = false, force_overlay = true, display = display.pane)
fill(p1, p2, top_value=crossover ? emaFast : emaSlow,
bottom_value =crossover ? emaSlow : emaFast,
top_color =color.new(c_signal, 80),
bottom_color =color.new(c_signal, 95)
)
// ✅ Usar colores configurables para señales
plotshape(crossoverConfirmed and MAV, style=shape.triangleup , location=location.belowbar, color=buySignalColor , size=size.small, force_overlay=true,display =display.pane)
plotshape(crossunderConfirmed and MAV, style=shape.triangledown, location=location.abovebar, color=sellSignalColor, size=size.small, force_overlay=true,display =display.pane)
string msg = '--------- '+"Buy volume ="+buyVolStr+" Buy Percent = "+buyPercentStr+" Sell volume = "+sellVolStr+" Sell Percent = "+sellPercentStr+" Net = "+volStr+' ---------'
if crossoverConfirmed
alert("Price (" + str.tostring(close) + ") Crossed over MA " + msg, alert_freq)
if crossunderConfirmed
alert("Price (" + str.tostring(close) + ") Crossed under MA " + msg, alert_freq)
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