Malama's big MACDPurpose: Malama's Big MACD is a multi-faceted Pine Script indicator designed for traders on short timeframes (1-5 minute charts) to identify high-probability trading opportunities. It combines a Stochastic Price Predictor (SPP) with a comprehensive set of technical indicators, including MACD, RSI, moving average crossovers, ATR, volume spikes, and a custom JKH RSI, to generate robust buy and sell signals. The indicator aims to solve the problem of filtering out market noise in fast-moving markets by integrating probability-based predictions with traditional technical analysis, providing traders with clear entry/exit signals, trend visualization, and risk management levels.
Originality and Usefulness
This script is a unique mashup of a Stochastic Price Predictor (SPP) and a comprehensive indicator suite, tailored for short-term trading. The SPP uses a Monte Carlo simulation combined with ATR and Stochastic RSI to forecast price movements, while the comprehensive indicator suite leverages MACD crossovers, RSI overbought/oversold conditions, moving average crossovers, volume spikes, and a custom JKH RSI for confirmation. Unlike standalone MACD or RSI indicators available in TradingView’s public library, this script’s originality lies in its hybrid approach, blending probabilistic forecasting with multiple confirmatory signals to enhance reliability. The integration of user-defined sentiment input and customizable risk management levels further differentiates it from generic open-source alternatives, making it particularly useful for scalpers and day traders seeking precise, actionable signals.
How It Works
The script operates in two primary modules: the Stochastic Price Predictor (SPP) and the Comprehensive Indicator Suite, which work together to generate and confirm trading signals. Signal strength is calculated to quantify the confidence of bullish or bearish conditions.
Stochastic Price Predictor (SPP):
Core Logic: The SPP forecasts price movements using a Monte Carlo simulation based on historical returns, ATR-based volatility, and Stochastic RSI filtering. It calculates the probability of price reaching a user-defined target move (default: 0.3%) within a specified forecast horizon (default: 3 bars).
Components:
ATR and Volatility: ATR (Average True Range) is calculated over a user-defined lookback period (default: 5) and scaled by a volatility factor (default: 1.5) to estimate price volatility. A volatility ratio (current volatility vs. average) filters out signals during extreme volatility (>2x average).
Stochastic RSI: A 7-period RSI is smoothed into a Stochastic RSI (5-period stochastic, 2-period SMA) to identify overbought (>85) or oversold (<15) conditions, preventing signals in extreme market states.
Monte Carlo Simulation: 30 price paths are simulated using a geometric Brownian motion model, incorporating drift (based on weighted moving average of returns) and volatility shocks. The simulation estimates the probability of price reaching the target move up or down.
Signal Generation: A buy signal is triggered if the probability of an upward move exceeds the confidence threshold (default: 65%) and the market is not overbought, with volatility within limits. A sell signal is triggered similarly for downward moves.
Purpose: The SPP provides a probabilistic framework to anticipate short-term price movements, reducing reliance on lagging indicators.
Comprehensive Indicator Suite:
Core Logic: This module combines multiple technical indicators to confirm SPP signals and generate independent signals based on momentum, trend, and volume.
Components:
MACD: Uses fast (5-period) and slow (13-period) EMAs to calculate the MACD line, smoothed by a 5-period signal line. A crossover above a threshold (default: 0.0001) indicates bullish momentum, while a crossunder signals bearish momentum.
RSI: A 14-period RSI identifies overbought (>70) or oversold (<30) conditions to filter signals.
Moving Average Crossovers: Fast (5-period) and slow (20-period) EMAs determine trend direction. A bullish crossover (fast > slow) supports buy signals, while a bearish crossover (fast < slow) supports sell signals.
Volume Spikes: Volume exceeding 2x the 50-period average signals significant market activity, enhancing signal reliability.
JKH RSI: A fast 3-period RSI with custom overbought (>80) and oversold (<20) levels provides additional confirmation, reducing false signals in choppy markets.
Sentiment Input: A user-defined sentiment score (-1 to 1) adjusts signal strength, allowing traders to incorporate external market bias (e.g., news or fundamentals).
Signal Generation: A buy signal requires a bullish MACD crossover, RSI oversold, bullish MA crossover, non-overbought JKH RSI, and neutral/positive sentiment. A sell signal requires the opposite conditions.
Signal Strength Calculation:
Logic: Combines SPP probability, RSI deviation, and MACD strength, weighted at 50%, 30%, and 20%, respectively. Sentiment input scales the final strength (0–100).
Formula:
Bullish strength = min(100, (50 * |prob_up - prob_down| / 100 + 30 * |RSI - 50| / 50 + 20 * |MACD_line| / (0.1 * ATR)) * (1 + max(0, sentiment)))
Bearish strength is calculated similarly, using the absolute negative sentiment.
Purpose: Quantifies signal confidence, helping traders prioritize high-probability setups.
Strategy Results and Risk Management
While the script is primarily an indicator, it provides implied trading signals that assume realistic trading conditions:
Assumptions: Signals are designed for short-term trading (1-5 minute charts) with a minimum of 100 trades for statistical significance. The script assumes typical commission (e.g., 0.1% per trade) and slippage (e.g., 0.05%) for liquid markets. Risk per trade is implicitly capped via ATR-based stop-loss levels (2x ATR below/above entry for buy/sell).
Default Settings:
Lookback (5), volatility factor (1.5), and forecast horizon (3) are optimized for short timeframes.
ATR-based stop-loss and profit target levels (2x ATR) provide a risk-reward ratio of approximately 1:1.
Confidence threshold (65%) balances signal frequency and reliability.
Customization: Traders can adjust the ATR multiplier for stop-loss/profit targets or modify the confidence threshold to increase/decrease signal frequency. Lowering the target move (e.g., to 0.2%) or shortening the forecast horizon (e.g., to 2 bars) can tighten risk parameters for scalping.
Guidance: Traders should backtest signals on their specific asset and timeframe, ensuring sufficient trade volume (>100 trades) and incorporating their broker’s commission/slippage. Risk should be limited to 5–10% of equity per trade, adjustable via ATR multiplier or position sizing outside the script.
User Settings and Customization
The script offers extensive user inputs, organized into three groups:
Stochastic Price Predictor Settings:
Lookback Period (default: 5): Controls the period for ATR and returns calculation. Shorter periods increase sensitivity.
Volatility Factor (default: 1.5): Scales ATR for volatility shocks in the Monte Carlo simulation.
Confidence Threshold (default: 65%): Sets the minimum probability for SPP signals.
Stoch RSI Overbought/Oversold Levels (default: 85/15): Filters signals in extreme conditions.
Forecast Horizon (default: 3): Number of bars for price prediction.
Target Move (default: 0.3%): Expected price movement for probability calculation.
Show Predicted Range (default: false): Toggles visibility of the 25th–75th percentile price range.
Comprehensive Indicator Settings:
RSI Length (default: 14), Overbought (70), Oversold (30): Standard RSI parameters.
ATR Length (default: 14): Period for ATR calculation.
Volume Spike Multiplier (default: 2.0): Threshold for detecting volume spikes.
Sentiment Input (default: 0.0, range: -1 to 1): Scales signal strength based on external bias.
MACD Fast/Slow/Signal Lengths (default: 5/13/5), Crossover Threshold (0.0001): Controls MACD sensitivity.
MA Fast/Slow Lengths (default: 5/20): Defines trend direction.
JKH RSI Length (default: 3), Overbought (80), Oversold (20): Fast RSI for confirmation.
Visual Settings:
Show SPP Signals (default: true): Displays SPP buy/sell labels.
Show Comp Signals (default: true): Displays comprehensive indicator signals.
Highlight Volume Spikes (default: true): Highlights bars with significant volume.
Show ATR Levels (default: true): Plots stop-loss and profit-target lines.
Impact: Adjusting lookback periods or thresholds affects signal frequency and sensitivity. For example, lowering the confidence threshold increases signals but may reduce accuracy, while increasing the volatility factor amplifies price path variability.
Visualizations and Chart Setup
The script plots clear, relevant elements on the chart to aid decision-making:
Trend Line: Plots the close price, colored green (bullish, fast MA > slow MA), red (bearish), or orange (neutral).
SPP Signals: Green "BUY (SPP)" labels below bars and red "SELL (SPP)" labels above bars when conditions are met.
Predicted Range: Optional blue step lines showing the 25th–75th percentile price range from the Monte Carlo simulation, with a semi-transparent fill.
Comprehensive Signals:
Blue upward triangles for bullish MACD crossovers, orange downward triangles for bearish crossovers.
Green circles above bars for RSI overbought, red circles below for oversold.
Green "BUY (Comp)" labels (offset by 1x ATR below) and red "SELL (Comp)" labels (offset by 1x ATR above) for comprehensive signals.
Green upward triangles for bullish MA crossovers, red downward triangles for bearish crossovers.
Volume Spikes: Yellow background highlights bars with volume >2x the 50-period average.
ATR Levels: Purple dotted lines for stop-loss (close - 2x ATR) and profit target (close + 2x ATR).
Moving Averages: Fast MA (blue, 5-period) and slow MA (red, 20-period) for trend reference.
Clarity: Only relevant elements are plotted, ensuring traders can quickly identify trends, signals, and risk levels without clutter.
Analisi trend
Stoplu Trend Göstergesi (4s - ATR Stop) - V2 FULL📊 What Does “Stop-Based Trend Indicator – V2” Do?
This indicator tracks price direction, entry/exit signals, and profit/loss status based on ATR (Average True Range). It also supports you with detailed visual tables.
✅ Key Features:
1. 📈 Generates Buy / Sell Signals
If the price crosses above the short stop level → BUY signal.
If the price crosses below the long stop level → SELL signal.
2. 🛡 Sets Dynamic Stop Based on ATR
Stop level is calculated automatically using ATR.
As the price moves in your favor, the stop level trails behind (like a dynamic trailing stop).
3. 🎯 Automatically Calculates Target
A profit target is set based on the entry price (e.g., 2.5x ATR distance).
4. 💬 Displays Labels with Signal Info
When a signal occurs, it shows a label on the chart including:
Entry price
Stop level
Target level
5. 📊 Performance Panel (Top Right)
Shows how many BUY and SELL signals have occurred.
Calculates total return (in percentage).
Displays BUY/SELL success ratios.
6. 🧭 Trend Panel (Bottom Right)
Shows trend direction (📈 Uptrend / 📉 Downtrend) for 6 different timeframes.
Also shows the current active Stop and Target levels in the same table.
🧠 Who Should Use This Indicator?
Swing traders and position traders
System traders who want automated tracking
Anyone looking for clear entry/exit strategies
Unified Signal Engine (USE)Using combination of 5 indicators:
Price Momentum Oscillator (PMO)
Average Force
VuManChu B Divergences
Adaptive Resonance Oscillator
Turbo Oscillator
Math by Thomas Swing RangeMath by Thomas Swing Range is a simple yet powerful tool designed to visually highlight key swing levels in the market based on a user-defined lookback period. It identifies the highest high, lowest low, and calculates the midpoint between them — creating a clear range for swing trading strategies.
These levels can help traders:
Spot potential support and resistance zones
Analyze price rejection near range boundaries
Frame mean-reversion or breakout setups
The indicator continuously updates and extends these lines into the future, making it easier to plan and manage trades with visual clarity.
🛠️ How to Use
Add to Chart:
Apply the indicator on any timeframe and asset (works best on higher timeframes like 1H, 4H, or Daily).
Configure Parameters:
Lookback Period: Number of candles used to detect the highest high and lowest low. Default is 20.
Extend Lines by N Bars: Number of future bars the levels should be projected to the right.
Interpret Lines:
🔴 Red Line: Swing High (Resistance)
🟢 Green Line: Swing Low (Support)
🔵 Blue Line: Midpoint (Mean level — useful for equilibrium-based strategies)
Trade Ideas:
Bounce trades from swing high/low zones.
Breakout confirmation if price closes strongly outside the range.
Reversion trades if price moves toward the midpoint after extreme moves.
Smart Money Flow Indicator - Abu Ghaid v5🔍 Smart Money Flow Indicator – Abu Ghaid v5
✅ Intelligent analysis of daily liquidity flows
✅ Precise distinction between bullish, bearish, and neutral activity
✅ Noise filtering by automatically ignoring low-volume or holiday sessions
🎯 Every color tells a story – from "Extreme Volume Surge" to "Sharp Drop" and even "Neutral Transparency"
🚨 Silently track the moves of the smart money –
When dark colors appear (dark green or dark red), and price action shows clear respect for these zones followed by a behavioral shift, it often signals a strong early indication of big players entering the market — get ready to ride the wave toward a major breakout.
🧠 Don’t follow the market... uncover what’s happening behind the scenes.
💼 Use Cases:
Confirm entry zones
Spot opportunities before others do
🛠 Technical Notes:
Designed for high accuracy on the daily timeframe
Alerts can be enabled for strong volume signals
Neutral (transparent green/red) sessions help distinguish normal behavior
Option to ignore low-liquidity or holiday sessions for cleaner signals
Every condition is clearly labeled and color-coded for easy interpretation
✨ Let the market speak its language... and let the indicator translate it smartly.
Let it uncover the new direction — and enjoy the journey 🚀
💡 This is a significantly upgraded version of the previous Smart Money Flow Indicator — featuring enhanced logic, smarter filtering, and deeper insights into liquidity movements.
🚀 For a limited time, this advanced version will be available for a one-time fee that grants lifetime access.
After the offer period ends, it will be available via an annual subscription only.
Monthly VWAP [A0A_Indicator]This indicator calculates the Monthly VWAP (Volume Weighted Average Price) using the proprietary A0A Hybrid Price Formula, developed by A0A
The A0A Hybrid Price Formula was designed by A0A specifically for institutional-grade trading systems, where understanding monthly positioning and value areas is critical. By combining price sensitivity and volume logic, it delivers responsive zones ideal for confluence with high-timeframe strategies.
- Monthly VWAP Reset with fresh volume/price accumulation
- 8 Deviation Bands (4 above, 4 below) based on A0A's Formula
- ✅ M +1 to M +4 → Overextension / resistance zones
- ✅ M −1 to M −4 → Undervaluation / support zones
- Color Gradient Logic: Bright to dark for clarity and structure
- Auto-Extending Lines & Smart Labels for real-time awareness
- No Moving Averages – only raw price × volume data
This tool is part of the A0A Indicator Suite, designed and created by A0A – a methodology centered on clarity, structure, and actionable trading zones for professionals.
Conditional Supertrend (RSI < 40)Supertrend is calculated based on ATR and multiplier (factor).
RSI is used as a condition to display the Supertrend only when RSI is below 40.
The line is colored green for bullish trend and red for bearish, but it only appears when RSI < 40.
ATH & 52 Wk High (Dem)All Time High & 52 week High indicator.
Simple script to indicate if a stock is at a 52 week high (yellow square)
or at an All Time High (yellow diamond)
Indicates based on the closing price of the current candle.
Weekly VWAP [A0A_Indicator]Developed by A0A – Founder & Creator,
This enhanced Weekly VWAP (Volume Weighted Average Price) indicator is built for precision, structure, and institutional-level execution. It is designed to reflect true price discovery across weekly sessions using a proprietary A0A Hybrid Price Formula.
Key Features:
Weekly Reset: Accumulates volume and price data with automatic reset at each new weekly session.
Custom Standard Deviation Bands:
3 Positive Deviations (W+1, W+2, W+3)
3 Negative Deviations (W−1, W−2, W−3)
Each deviation band is independently adjustable for full strategic flexibility.
Precision Zoning:
Yellow gradients for upper bands (bullish strength zones)
Orange gradients for lower bands (bearish pressure zones)
Fully color-synchronized labels and steplines for visual clarity
Dynamic Projection Lines:
Extended projection lines highlight critical VWAP levels and deviation ranges into the future for forward-looking planning.
Use Case:
This tool is ideal for:
-Identifying mean-reversion and breakout zones.
-Structuring trades around weekly value areas.
-Visualizing market extremes in relation to VWAP symmetry.
Supporting institutional frameworks such as volume profiling, auction market theory, and volatility envelopes.
EQH/EQL DanielSwae FX ToolsAz EQL-EQL Premium indikátor, egyértelműen segít a likvid szintek felismerésében.
Multi-Session ORBThe Multi-Session ORB Indicator is a customizable Pine Script (version 6) tool designed for TradingView to plot Opening Range Breakout (ORB) levels across four major trading sessions: Sydney, Tokyo, London, and New York. It allows traders to define specific ORB durations and session times in Central Daylight Time (CDT), making it adaptable to various trading strategies.
Key Features:
1. Customizable ORB Duration: Users can set the ORB duration (default: 15 minutes) via the inputMax parameter, determining the time window for calculating the high and low of each session’s opening range.
2. Flexible Session Times: The indicator supports user-defined session and ORB times for:
◦ Sydney: Default ORB (17:00–17:15 CDT), Session (17:00–01:00 CDT)
◦ Tokyo: Default ORB (19:00–19:15 CDT), Session (19:00–04:00 CDT)
◦ London: Default ORB (02:00–02:15 CDT), Session (02:00–11:00 CDT)
◦ New York: Default ORB (08:30–08:45 CDT), Session (08:30–16:00 CDT)
3. Session-Specific ORB Levels: For each session, the indicator calculates and tracks the high and low prices during the specified ORB period. These levels are updated dynamically if new highs or lows occur within the ORB timeframe.
4. Visual Representation:
◦ ORB high and low lines are plotted only during their respective session times, ensuring clarity.
◦ Each session’s lines are color-coded for easy identification:
▪ Sydney: Light Yellow (high), Dark Yellow (low)
▪ Tokyo: Light Pink (high), Dark Pink (low)
▪ London: Light Blue (high), Dark Blue (low)
▪ New York: Light Purple (high), Dark Purple (low)
◦ Lines are drawn with a linewidth of 2 and disappear when the session ends or if the timeframe is not intraday (or exceeds the ORB duration).
5. Intraday Compatibility: The indicator is optimized for intraday timeframes (e.g., 1-minute to 15-minute charts) and only displays when the chart’s timeframe multiplier is less than or equal to the ORB duration.
How It Works:
• Session Detection: The script uses the time() function to check if the current bar falls within the user-defined ORB or session time windows, accounting for all days of the week.
• ORB Logic: At the start of each session’s ORB period, the script initializes the high and low based on the first bar’s prices. It then updates these levels if subsequent bars within the ORB period exceed the current high or fall below the current low.
• Plotting: ORB levels are plotted as horizontal lines during the respective session, with visibility controlled to avoid clutter outside session times or on incompatible timeframes.
Use Case:
Traders can use this indicator to identify key breakout levels for each trading session, facilitating strategies based on price action around the opening range. The flexibility to adjust ORB and session times makes it suitable for various markets (e.g., forex, stocks, or futures) and time zones.
Limitations:
• The indicator is designed for intraday timeframes and may not display on higher timeframes (e.g., daily or weekly) or if the timeframe multiplier exceeds the ORB duration.
• Time inputs are in CDT, requiring users to adjust for their local timezone or market requirements.
• If you need to use this for GC/CL/SPY/QQQ you have to adjust the times by one hour.
This indicator is ideal for traders focusing on session-based breakout strategies, offering clear visualization and customization for global market sessions.
MACD Green column buy Red column sell Histogram StrategyThis strategy builds upon the official built-in MACD indicator logic from TradingView.
Buy Condition:
When the MACD Histogram turns from negative to positive (from red bars to green bars), it triggers strategy.entry('MACD_Buy', strategy.long), executing a buy operation.
Sell Condition:
When the MACD Histogram turns from positive to negative (from green bars to red bars), it triggers strategy.close('MACD_Buy'), executing a sell operation.
Plotting remains unchanged:
Green and red bars are displayed correctly, and both the MACD and signal lines are plotted as usual.
This strategy is not intended for real trading.
It is for educational and demonstration purposes only. It should not be considered financial advice, and I take no responsibility for any trading outcomes resulting from its use.
此策略基于 TradingView 官方内置的 MACD 指标逻辑。
买入条件:
当 MACD 柱状图由负转正(从红柱变为绿柱)时,触发strategy.entry('MACD_Buy',strategy.long) 执行买入操作。
卖出条件:
当 MACD 柱状图由正转负(从绿柱变为红柱)时,触发strategy.close('MACD_Buy') 执行卖出操作。
绘图保持不变:
绿柱和红柱均正确显示,MACD 线和信号线均按常规绘制。
此策略不适用于实盘交易。
仅供教育和演示之用。不应将其视为金融建议,本人对使用此策略导致的任何交易结果概不负责。
Peak Reaction Zones - Indicator V8.1🧠 Peak Reaction Zones - Indicator V8
Description:
This advanced indicator automatically detects key market reaction zones (high and low) and generates intelligent position-taking signals based on accurate retesting of these zones. It combines a reading of the market structure with trend conditions, SMA filtering and volatility analysis via ATR.
macd背离//@version=6
indicator(title = 'MACD可视化', format = format.price, timeframe = '')
fast_length = input(12, title = 'MACD快线长度')
slow_length = input(26, title = 'MACD慢线长度')
signal_length = input(9, title = 'MACD信号线长度')
col_macd = input.color(#2962FF, 'MACD', group = 'Color Settings', inline = 'MACD')
col_signal = input.color(#FF6D00, '信号线', group = 'Color Settings', inline = 'Signal')
col_grow_above = input.color(#26A69A, '增长绿柱', group = 'Histogram', inline = 'Above')
col_fall_above = input.color(#B2DFDB, '减弱绿柱', group = 'Histogram', inline = 'Above')
col_grow_below = input.color(#FFCDD2, '减弱红柱', group = 'Histogram', inline = 'Below')
col_fall_below = input.color(#FF5252, '增长红柱', group = 'Histogram', inline = 'Below')
// Calculating
fast_ma = ta.ema(close, fast_length) //快线
slow_ma = ta.ema(close, slow_length) //慢线
macd = fast_ma - slow_ma //macd线
signal = ta.ema(macd, signal_length) //信号线
hist = macd - signal //能量柱
plot(hist, title = '直方图', style = plot.style_columns, color = color.new(hist >= 0 ? hist < hist ? col_grow_above : col_fall_above : hist < hist ? col_grow_below : col_fall_below, 0))
plot(macd, title = 'MACD', color = color.new(col_macd, 0))
plot(signal, title = '信号线', color = color.new(col_signal, 0))
rangeUpper1 = input(title = '金死叉最大范围', defval = 60)
rangeLower1 = input(title = '金死叉最小范围', defval = 5)
crossGold = ta.crossover(macd, signal) ? true : false
crossDead = ta.crossunder(macd, signal) ? true : false
_inRange1(cond1) =>
bars1 = ta.barssince(cond1)
rangeLower1 <= bars1 and bars1 <= rangeUpper1
crossJudgeGold = (_inRange1(crossGold) or _inRange1(crossDead)) and crossGold ? macd : na
crossJudgeDead = (_inRange1(crossDead) or _inRange1(crossGold)) and crossDead ? macd : na
plotshape(crossJudgeGold, title = '金叉标识', style = shape.circle, location = location.absolute, color = color.new(color.green, 0), size = size.tiny)
plotshape(crossJudgeDead, title = '死叉标识', style = shape.circle, location = location.absolute, color = color.new(color.red, 0), size = size.tiny)
lbR = input(title = '右范围', defval = 5)
lbL = input(title = '左范围', defval = 5)
rangeUpper = input(title = '最大范围', defval = 60)
rangeLower = input(title = '最小范围', defval = 5)
plotBull = input(title = '底背离标识', defval = true)
plotBear = input(title = '顶背离标识', defval = true)
bearColor = color.red
bullColor = color.green
hiddenBullColor = color.new(color.green, 80)
hiddenBearColor = color.new(color.red, 80)
textColor = color.white
noneColor = color.new(color.white, 100)
osc = macd
plFound = na(ta.pivotlow(osc, lbL, lbR)) ? false : true
phFound = na(ta.pivothigh(osc, lbL, lbR)) ? false : true
_inRange(cond) =>
bars = ta.barssince(cond == true)
rangeLower <= bars and bars <= rangeUpper
//------------------------------------------------------------------------------
// Regular Bullish
// Osc: Higher Low
oscHL = osc > ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
// Price: Lower Low
priceLL = low < ta.valuewhen(plFound, low , 1)
bullCond = plotBull and priceLL and oscHL and plFound
plot(plFound ? osc : na, offset = -lbR, title = '底背离线', linewidth = 2, color = bullCond ? bullColor : noneColor)
plotshape(bullCond ? osc : na, offset = -lbR, title = '底背离标识', text = ' 底 ', style = shape.labelup, location = location.absolute, color = color.new(bullColor, 0), textcolor = color.new(textColor, 0))
oscLL = osc < ta.valuewhen(plFound, osc , 1) and _inRange(plFound )
oscLH = osc < ta.valuewhen(phFound, osc , 1) and _inRange(phFound )
priceHH = high > ta.valuewhen(phFound, high , 1)
bearCond = plotBear and priceHH and oscLH and phFound
plot(phFound ? osc : na, offset = -lbR, title = '顶背离线', linewidth = 2, color = bearCond ? bearColor : noneColor)
plotshape(bearCond ? osc : na, offset = -lbR, title = '顶背离标识', text = ' 顶 ', style = shape.labeldown, location = location.absolute, color = color.new(bearColor, 0), textcolor = color.new(textColor, 0))
profitalgoDynamic Moving Average Indicator
The Dynamic Moving Average (DMA) is an innovative trading tool designed to provide real-time buy and sell signals based on price action. Unlike traditional moving averages, which can lag behind market movements, the DMA adapts dynamically to changing market conditions, allowing traders to capture trends more effectively.
Key Features:
• Real-Time Signals: The DMA generates timely buy and sell signals, helping traders make informed decisions quickly.
• Adaptive Nature: By adjusting to price fluctuations, the DMA minimizes lag and enhances responsiveness to market changes.
• User-Friendly Interface: Easy to integrate into your TradingView charts, making it accessible for both novice and experienced traders.
• Customizable Settings: Tailor the indicator parameters to fit your trading style and preferences.
Utilize the Dynamic Moving Average to enhance your trading strategy and stay ahead in the market!
Impulse Signal Fractal 2/3 + Money Flow (CMF) by PeteImpulse Signal Fractal 2/3 + Money Flow (CMF) Impulse Signal Fractal 2/3 + Money Flow (CMF)
Monthly Pivots & MACD D1 Strategy
-TimeFrame D1
-Indicators: Pivot Point monthly, MACD
-When the price go near the support/resistance and MACD crossover enter the entry right there.
Parepalli DTB StrategyShanker Parepalli DTB:
How it forms:
First Peak: Price rises and then falls.
Second Peak: Price rises again but fails to break the previous high, creating resistance.
Neckline: A support level formed at the lowest point between the two peaks.
Breakdown: The pattern is confirmed when price breaks below the neckline.
Trading Strategy:
Entry: Sell (short) when price breaks below the neckline.
Stop-Loss: Just above the second peak.
Target: Measure the height between the peaks and neckline, and subtract it from the neckline for a price target.
Parepalli DTB StrategyShanker Parepalli DTB Strategy
How it forms:
First Trough: Price drops and rebounds.
Second Trough: Price drops again, finds support near the previous low, and rises.
Neckline: A resistance level at the high between the two lows.
Breakout: Confirmed when price breaks above the neckline.
Trading Strategy:
Entry: Buy when price breaks above the neckline.
Stop-Loss: Just below the second bottom.
Target: Measure the height from the bottoms to the neckline, and add it above the neckline.
Multi-EnvelopeRMA Multi-Envelope Indicator
The RMA Multi-Envelope Indicator is a technical analysis tool designed for TradingView, utilizing Pine Script v6. It creates eight customizable envelope bands around a 200-period Running Moving Average (RMA) on a 5-minute timeframe, based on current market measurements. Each band has independent upper and lower percentage deviations, preset to: Band 1 (0.42%, 0.46%), Band 2 (0.78%, 0.69%), Band 3 (1.01%, 1.03%), Band 4 (1.36%, 1.39%), Band 5 (1.80%, 1.62%), Band 6 (2.15%, 2.13%), Band 7 (2.93%, 2.81%), and Band 8 (4.65%, 4.18%). Users can adjust the timeframe, moving average type (RMA, SMA, or EMA), length, and colors for the basis line and bands via hex codes (e.g., #FF6D00 for the basis and Band 8) with semi-transparent color.rgb fills. Ideal for identifying support/resistance, overbought/oversold conditions, or trend boundaries on a 5-minute chart.
Seer Tee: Candlestick Based MSP with Fib time# Seer Tee (Maverick Indicators)
The **Seer Tee** indicator is designed using the famous Candle Range Theory (CRT) concepts. It visualizes critical price levels derived from higher timeframe candles, detects significant price action signals, and assists traders in identifying potential trend reversals and continuation patterns.
## Key Features
### Higher Timeframe Price Levels
Seer Tee automatically identifies and plots critical price zones, including:
- **Premium Zone**: Upper range derived from the midpoint to the high of the reference candle.
- **Discount Zone**: Lower range from the midpoint to the low of the reference candle.
- **High, Mid, Low Lines**: Dynamically plotted horizontal lines representing critical reference levels from the higher timeframe (HTF).
These levels help traders visualize significant zones where price reactions are expected.
### Volatility-Based "Big Bar" Detection
The indicator continuously monitors the size of candles on the higher timeframe to detect "big bars," defined as candles significantly larger than the recent average range. Once a "big bar" is detected, the indicator marks high and low for reference.
### Reversal Signals & Turtle Soup Patterns
Seer Tee identifies specific price action signals based on Candle Range Theory:
- Marks **cross-over** and **cross-under** points as potential reversal or continuation signals.
- Detects "Turtle Soup" setups, visualizing key pivot points through clearly drawn triangles that signal potential market reversals.
### Modified Schiff Pitchfork
When conditions align with the above CRT-like rules, the Seer Tee indicator automatically plots a Modified Schiff Pitchfork. This feature aids traders in anticipating possible future price channels and market structures based on identified pivot points.
## Timeframe Alignment
Seer Tee is designed to work seamlessly across multiple timeframes:
- **Monthly CRT → Daily Entries**
- **Weekly CRT → 4-Hour Entries**
- **Daily CRT → 1-Hour Entries**
- **4-Hour CRT → 15-Minute Entries**
- **1-Hour CRT → 5-Minute Entries**
## Additional features (beta)
Seer Tee displays Fibonacci time, which is internally calculated based on the Seer Tee signal. You can turn it off from the menu.
This structured timeframe alignment supports detailed analysis and strategic entries.
## Naming and Inspiration
While the name "Seer Tee" pays homage to Romeo(RomeoTPT), who created and popularized the Candle Range Theory (CRT), it cleverly reflects both the visual similarity of the drawn triangles to a golf tee and the indicator's capability to help traders "see" or anticipate potential future price movements.
## Usage Disclaimer
The Seer Tee indicator serves as an analysis tool based on CRT-like methodology Still, all responsibility for the authorship and use of this script, "Seer Tee," rests with Jackrabbitrage, the script's author, and not with the CRT author and their pupils The author isn't affiliated with the CRT author or their pupils.
La mia strategiaMy strategy is based on the trend reversal that occurs when the exponential moving averages finally cross.