Market Pressure Index [AlgoAlpha]The Market Pressure Index is a cutting-edge trading tool designed to measure and visualize bullish and bearish momentum through a unique blend of volatility analysis and dynamic smoothing techniques. This indicator provides traders with an intuitive understanding of market pressure, making it easier to identify trend shifts, breakout opportunities, and key moments to take profit. Perfect for scalpers and swing traders looking for a strategic edge in volatile markets.
Key Features:
🔎 Bullish and Bearish Volatility Separation : Dynamically calculates and displays bullish and bearish momentum separately, helping traders assess market direction with precision.
🎨 Customizable Appearance: Set your preferred colors for bullish and bearish signals to match your chart's theme.
📊 Deviation-Based Upper Band : Tracks extreme volatility levels using a configurable deviation multiplier, highlighting potential breakout points.
📈 Real-Time Signal Alerts : Provides alerts for bullish and bearish crossovers, as well as take-profit signals, ensuring you never miss key market movements.
⚡ Gradient-Based Visualization : Uses color gradients to depict the intensity of market pressure, making it easy to spot changes in momentum at a glance.
How to Use:
Add the Indicator : Add the Market Pressure Index to your TradingView chart by clicking the star icon. Customize inputs like the pressure lookback period, deviation settings, and colors to fit your trading style.
Interpret the Signals : Monitor the bullish and bearish momentum columns to gauge market direction. Look for crossovers to signal potential trend changes.
Take Action : Use alerts for breakouts above the upper band or for take-profit levels to enhance your trade execution.
How It Works:
The Market Pressure Index separates bullish and bearish momentum by analyzing price movement (close vs. open) and volatility. These values are smoothed using Hull Moving Averages (HMA) to highlight trends while minimizing noise. A deviation-based upper band dynamically tracks market extremes, signaling breakout zones. Color gradients depict the intensity of momentum, offering a clear, visually intuitive representation of market pressure. Alerts are triggered when significant crossovers or take-profit conditions occur, giving traders actionable insights without constant chart monitoring.
Indikatoren und Strategien
Advanced Order Blocks with VolumeAdvanced Order Blocks with Volume Indicator
This professional-grade indicator combines order block detection with sophisticated volume analysis to identify high-probability trading opportunities. It automatically detects and displays bullish and bearish order blocks formed during consolidation periods, enhanced by three distinct volume calculation methods (Simple, Relative, and Weighted).
Key Features:
- Smart consolidation detection with customizable thresholds
- Volume-filtered order blocks to avoid false signals
- Automatic order block mitigation tracking
- Clear visual presentation with volume metrics
- Flexible customization options for colors and parameters
Settings:
Core Parameters:
- Consolidation Threshold %: Sets the maximum price range (0.1-1.0%) for detecting consolidation zones
- Lookback Period: Number of bars (2-10) to analyze for consolidation patterns
Volume Analysis:
- Volume Calculation Method: Choose between Simple (basic average), Relative (compared to average), or Weighted (prioritized recent volume)
- Volume Lookback Period: Historical bars (5-100) used for volume analysis
- Volume Threshold Multiplier: Minimum volume requirement (1.0-5.0x) for valid order blocks
Visual Settings:
- Bullish/Bearish OB Color: Background colors for order blocks
- Bullish/Bearish OB Text Color: Colors for volume information display
Perfect for traders focusing on institutional price levels and volume-based trading strategies. The indicator helps identify potential reversal zones with strong institutional interest, validated by significant volume conditions.
QT RSI [ W.ARITAS ]The QT RSI is an innovative technical analysis indicator designed to enhance precision in market trend identification and decision-making. Developed using advanced concepts in quantum mechanics, machine learning (LSTM), and signal processing, this indicator provides actionable insights for traders across multiple asset classes, including stocks, crypto, and forex.
Key Features:
Dynamic Color Gradient: Visualizes market conditions for intuitive interpretation:
Green: Strong buy signal indicating bullish momentum.
Blue: Neutral or observation zone, suggesting caution or lack of a clear trend.
Red: Strong sell signal indicating bearish momentum.
Quantum-Enhanced RSI: Integrates adaptive energy levels, dynamic smoothing, and quantum oscillators for precise trend detection.
Hybrid Machine Learning Model: Combines LSTM neural networks and wavelet transforms for accurate prediction and signal refinement.
Customizable Settings: Includes advanced parameters for dynamic thresholds, sensitivity adjustment, and noise reduction using Kalman and Jurik filters.
How to Use:
Interpret the Color Gradient:
Green Zone: Indicates bullish conditions and potential buy opportunities. Look for upward momentum in the RSI plot.
Blue Zone: Represents a neutral or consolidation phase. Monitor the market for trend confirmation.
Red Zone: Indicates bearish conditions and potential sell opportunities. Look for downward momentum in the RSI plot.
Follow Overbought/Oversold Boundaries:
Use the upper and lower RSI boundaries to identify overbought and oversold conditions.
Leverage Advanced Filtering:
The smoothed signals and quantum oscillator provide a robust framework for filtering false signals, making it suitable for volatile markets.
Application: Ideal for traders and analysts seeking high-precision tools for:
Identifying entry and exit points.
Detecting market reversals and momentum shifts.
Enhancing algorithmic trading strategies with cutting-edge analytics.
LEXUS - EG zones [mSNR]The "LEXUS - EG Zones" Indicator is a sophisticated tool designed to identify and mark engulfing zones on the chart. Engulfing patterns are significant in technical analysis as they often indicate potential reversals in market trends. This indicator helps traders spot these patterns and visualize the zones where price action is likely to react.
Deepsek IndicatorThis TradingView Pine Script indicator combines EMA crossovers (for trend direction) and RSI (for momentum) to generate Buy/Sell signals. It includes customizable Take Profit (TP) and Stop Loss (SL) levels, plotted directly on the chart.
Key Features
Signal Types:
EMA Crossover: Triggers Buy when a fast EMA crosses above a slow EMA; Sell on the reverse.
RSI Divergence: Buy when RSI exits oversold (30); Sell when RSI exits overbought (70).
Risk Management:
Set TP/SL as fixed percentages (e.g., 2% TP) or fixed price points.
Visual horizontal lines mark entry price, TP (teal dashed), and SL (red dashed).
Visual Clarity:
Labels (BUY/SELL) with arrows at signal points.
Plots EMAs (fast/slow) and RSI for trend/momentum confirmation.
Flexibility:
Adjust parameters (EMA lengths, RSI settings, TP/SL rules) via input settings.
Alerts for real-time signal notifications.
Purpose:
Designed to simplify entries/exits with clear rules, enforce disciplined risk management, and adapt to multiple markets (stocks, forex, crypto).
[PUBLIC] - Trade Zones with SL/TP and Buy/Sell Signals - [LFES]Trade Zones with SL/TP and Buy/Sell Signals
Este indicador identifica oportunidades de trading baseadas na relação entre o RSI e sua média móvel, com gerenciamento visual de risco através de zonas de lucro/prejuízo.
AdibXmos // © Adib2024
//@version=5
indicator('AdibXmos ', overlay=true, max_labels_count=500)
show_tp_sl = input.bool(true, 'Display TP & SL', group='Techical', tooltip='Display the exact TP & SL price levels for BUY & SELL signals.')
rrr = input.string('1:2', 'Risk to Reward Ratio', group='Techical', options= , tooltip='Set a risk to reward ratio (RRR).')
tp_sl_multi = input.float(1, 'TP & SL Multiplier', 1, group='Techical', tooltip='Multiplies both TP and SL by a chosen index. Higher - higher risk.')
tp_sl_prec = input.int(2, 'TP & SL Precision', 0, group='Techical')
candle_stability_index_param = 0.5
rsi_index_param = 70
candle_delta_length_param = 4
disable_repeating_signals_param = input.bool(true, 'Disable Repeating Signals', group='Techical', tooltip='Removes repeating signals. Useful for removing clusters of signals and general clarity.')
GREEN = color.rgb(29, 255, 40)
RED = color.rgb(255, 0, 0)
TRANSPARENT = color.rgb(0, 0, 0, 100)
label_size = input.string('huge', 'Label Size', options= , group='Cosmetic')
label_style = input.string('text bubble', 'Label Style', , group='Cosmetic')
buy_label_color = input(GREEN, 'BUY Label Color', inline='Highlight', group='Cosmetic')
sell_label_color = input(RED, 'SELL Label Color', inline='Highlight', group='Cosmetic')
label_text_color = input(color.white, 'Label Text Color', inline='Highlight', group='Cosmetic')
stable_candle = math.abs(close - open) / ta.tr > candle_stability_index_param
rsi = ta.rsi(close, 14)
atr = ta.atr(14)
bullish_engulfing = close < open and close > open and close > open
rsi_below = rsi < rsi_index_param
decrease_over = close < close
var last_signal = ''
var tp = 0.
var sl = 0.
bull_state = bullish_engulfing and stable_candle and rsi_below and decrease_over and barstate.isconfirmed
bull = bull_state and (disable_repeating_signals_param ? (last_signal != 'buy' ? true : na) : true)
bearish_engulfing = close > open and close < open and close < open
rsi_above = rsi > 100 - rsi_index_param
increase_over = close > close
bear_state = bearish_engulfing and stable_candle and rsi_above and increase_over and barstate.isconfirmed
bear = bear_state and (disable_repeating_signals_param ? (last_signal != 'sell' ? true : na) : true)
round_up(number, decimals) =>
factor = math.pow(10, decimals)
math.ceil(number * factor) / factor
if bull
last_signal := 'buy'
dist = atr * tp_sl_multi
tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist
tp := round_up(close + tp_dist, tp_sl_prec)
sl := round_up(close - dist, tp_sl_prec)
if label_style == 'text bubble'
label.new(bar_index, low, 'BUY', color=buy_label_color, style=label.style_label_up, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_triangleup, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bar_index, low, 'BUY', yloc=yloc.belowbar, color=buy_label_color, style=label.style_arrowup, textcolor=TRANSPARENT, size=label_size)
label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_down, textcolor=label_text_color)
if bear
last_signal := 'sell'
dist = atr * tp_sl_multi
tp_dist = rrr == '2:3' ? dist / 2 * 3 : rrr == '1:2' ? dist * 2 : rrr == '1:4' ? dist * 4 : dist
tp := round_up(close - tp_dist, tp_sl_prec)
sl := round_up(close + dist, tp_sl_prec)
if label_style == 'text bubble'
label.new(bear ? bar_index : na, high, 'SELL', color=sell_label_color, style=label.style_label_down, textcolor=label_text_color, size=label_size)
else if label_style == 'triangle'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_triangledown, textcolor=TRANSPARENT, size=label_size)
else if label_style == 'arrow'
label.new(bear ? bar_index : na, high, 'SELL', yloc=yloc.abovebar, color=sell_label_color, style=label.style_arrowdown, textcolor=TRANSPARENT, size=label_size)
label.new(show_tp_sl ? bar_index : na, low, 'TP: ' + str.tostring(tp) + ' SL: ' + str.tostring(sl), yloc=yloc.price, color=color.gray, style=label.style_label_up, textcolor=label_text_color)
alertcondition(bull or bear, 'BUY & SELL Signals', 'New signal!')
alertcondition(bull, 'BUY Signals (Only)', 'New signal: BUY')
alertcondition(bear, 'SELL Signals (Only)', 'New signal: SELL')
Vitaliby- NWE + RSIОписание индикатора "Vitaliby- NWE + RSI"
Nadaraya-Watson Envelope (NWE):
Огибающая: Индикатор строит огибающую вокруг цены, используя сглаживание на основе гауссового окна. Это помогает определить уровни поддержки и сопротивления.
Параметры: Вы можете настроить ширину гауссового окна и множитель для огибающей.
Relative Strength Index (RSI):
Индекс: RSI измеряет скорость изменения цены и определяет, перекуплен или перепродан актив.
Параметры: Вы можете настроить длину периода для расчета RSI, а также уровни перекупленности и перепроданности.
Взаимодействие NWE и RSI:
Фильтрация сигналов: Индикатор использует RSI для фильтрации сигналов пересечения огибающей. Например, сигнал на продажу будет учитываться только если RSI находится в зоне перекупленности (выше 70).
Режимы:
Режим перерисовки: Включение этого режима позволяет индикатору обновлять свои значения на основе новых данных, что может привести к изменению исторических значений. Отключение этого режима фиксирует исторические значения, что делает индикатор более стабильным.
Режим отображения: Вы можете настроить цвета и стили отображения индикатора, чтобы он лучше соответствовал вашему торговому стилю и предпочтениям.
Использование:
Сигналы: Индикатор отображает стрелки на графике, когда цена пересекает огибающую и RSI находится в соответствующей зоне.
Настройки: Вы можете включить или отключить режим перерисовки, а также настроить цвета и стили отображения.
Этот индикатор помогает трейдерам принимать более обоснованные решения, используя комбинацию сглаженных данных и индекса относительной силы.
D-LEVELS **FUTURECODE**The D-LEVELS indicator helps traders identify key price levels based on high-volume nodes and their relative positions to the current price. It visually displays these dynamic levels on the chart, offering insights into potential support, resistance, or zones of interest for trading decisions.
Key Features for Traders:
Dynamic Volume Nodes: Highlights high-volume price levels across different lookback periods, which can act as support or resistance.
Custom Alerts: Warns traders when price is within a specified percentage range of these levels.
Visual Cues: Uses labels and lines with customizable colors and widths for better chart clarity.
Table Display: Summarizes volume node price levels and their relative percentages for quick reference.
Customization: Flexible input options for text size, colors, and display settings to adapt to individual trading styles.
Use Case:
Traders can incorporate this indicator into their strategy to identify high-probability zones for entries, exits, or trade management by observing the interaction of price with these volume-based levels.
Pivot Points with Mid-Levels AMMOThis indicator plots pivot points along with mid-levels for enhanced trading insights. It supports multiple calculation types (Traditional, Fibonacci, Woodie, Classic, DM, and Camarilla) and works across various timeframes (Auto, Daily, Weekly, Monthly, Quarterly, Yearly).
Key Features:
Pivot Points and Support/Resistance Levels:
Displays the main Pivot (P), Resistance Levels (R1, R2, R3), and Support Levels (S1, S2, S3).
Each level is clearly labeled for easy identification.
Mid-Levels:
Calculates and plots mid-levels between:
Pivot and R1 (Mid Pivot-R1),
R1 and R2 (Mid R1-R2),
R2 and R3 (Mid R2-R3),
Pivot and S1 (Mid Pivot-S1),
S1 and S2 (Mid S1-S2),
S2 and S3 (Mid S2-S3).
Customizable Options:
Line Widths: Adjust the thickness of pivot, resistance, support, and mid-level lines.
Colors: Set different colors for pivot, resistance, support, and mid-level lines.
Timeframes: Automatically adjust pivot calculations based on the chart's timeframe or use a fixed timeframe (e.g., Weekly, Monthly).
Visual Labels:
Each level is labeled (e.g., Pivot, R1, Mid Pivot-R1) for quick identification on the chart.
How to Use:
Use this indicator to identify key price levels for support, resistance, and potential reversals.
The mid-levels provide additional zones for better precision in entries and exits.
This tool is ideal for traders who rely on pivot points for intraday trading, swing trading, or long-term trend analysis. The clear labels and customizable settings make it a versatile addition to your trading strategy.
VWAP Suite by Augur - Multi PeriodOverview
The Multi-Timeframe VWAP Suite revolutionizes price analysis by combining institutional-grade volume-weighted pricing with multi-period deviation analytics. This professional toolkit simultaneously tracks VWAP across 5 time horizons (Daily to Yearly) with smart deviation bands, offering traders unparalleled insight into market structure and volatility dynamics.
Key Features
Multi-Timeframe VWAP Matrix
Simultaneous Daily/Weekly/Monthly/Quarterly/Yearly VWAP tracking
Institutional-level volume-weighted calculations
Independent timeframe toggles for focused analysis
Smart Deviation Architecture
Dual-layer standard deviation bands (1σ & 2σ)
Separate colors for upper/lower deviation zones
Adaptive 95% transparency fills for layered visualization
Professional Visual Design
Strategic color coding per timeframe (FIXED palette)
Dark Blue/Yellow/Purple/Pink/Red VWAP hierarchy
Orange-Green-Red-Blue deviation band system
Advanced Calculation Engine
HLC3 price source integration
Cumulative volume-weighting algorithm
Real-time standard deviation updates
Buy/Sell Indicator-SMA (5/8/21/50/200)Buy-Sell indicator: are tools or signals used in financial markets to help traders and investors identify potential entry (buy) and exit (sell) points for their trades. These indicators are typically derived from technical analysis and aim to simplify decision-making by providing visual or numerical cues based on price, volume, or momentum.
Buy-sell indicators often need confirmation from additional analysis or tools for reliable decision-making.
Note: No indicator is foolproof, and market conditions can result in misleading signals.
SMA: SMA (Simple Moving Average) indicators are among the most popular tools used in technical analysis to identify trends in the price of an asset. They smooth out price data by calculating the average price over a specified number of periods. Here's an overview:
The numbers 5, 8, 21, 50, and 200 refer to the number of periods used in the calculation of the SMA. Here's what each represents:
A short-term indicator:
SMA 5 (5-day Moving Average):
Tracks the average price over the last 5 periods. Often used to spot short-term trends.
SMA 8 (8-day Moving Average):
Similar to the 5-day SMA but smooths price action slightly more.
A mid-term indicator:
SMA 21 (21-day Moving Average):
Reflects a full trading month (approximately 21 trading days in a month).Helps to identify medium-term trend direction.
SMA 50 (50-day Moving Average):
Often used to assess the overall trend direction. A crossover with other SMAs, like the 200-day SMA, can indicate trend reversals.
A long-term indicator.
SMA 200 (200-day Moving Average): Commonly used to assess the overall market trend.
If the price is above the 200-day SMA, the security is considered in a long-term uptrend, and vice versa.
Note :
Crossovers: When shorter-term SMAs (e.g., 5 or 8) cross above longer-term SMAs (e.g., 50 or 200), it can signal a bullish trend. The opposite signals a bearish trend.
ERFAN1RAHMATI...ADX/EMA.1for backtest. this indicator is design for price prediction and anaysis and when the trend is red, two lines are drawn in color and when is is green ....other data can be changed and customized JUST FOR Test
Smart Market Bias [PhenLabs]📊 Smart Market Bias Indicator (SMBI)
Version: PineScript™ v6
Description
The Smart Market Bias Indicator (SMBI) is an advanced technical analysis tool that combines multiple statistical approaches to determine market direction and strength. It utilizes complexity analysis, information theory (Kullback Leibler divergence), and traditional technical indicators to provide a comprehensive market bias assessment. The indicator features adaptive parameters based on timeframe and trading style, with real-time visualization through a sophisticated dashboard.
🔧 Components
Complexity Analysis: Measures price movement patterns and trend strength
KL Divergence: Statistical comparison of price distributions
Technical Overlays: RSI and Bollinger Bands integration
Filter System: Volume and trend validation
Visual Dashboard: Dynamic color-coded display of all components
Simultaneous current timeframe + higher time frame analysis
🚨Important Explanation Feature🚨
By hovering over each individual cell in this comprehensive dashboard, you will get a thorough and in depth explanation of what each cells is showing you
Visualization
HTF Visualization
📌 Usage Guidelines
Based on your own trading style you should alter the timeframe length that you would like to be analyzing with your dashboard
The longer the term of the position you are planning on entering the higher timeframe you should have your dashboard set to
Bias Interpretation:
Values > 50% indicate bullish bias
Values < 50% indicate bearish bias
Neutral zone: 45-55% suggests consolidation
✅ Best Practices:
Use appropriate timeframe preset for your trading style
Monitor all components for convergence/divergence
Consider filter strength for signal validation
Use color intensity as confidence indicator
⚠️ Limitations
Requires sufficient historical data for accurate calculations
Higher computational complexity on lower timeframes
May lag during extremely volatile conditions
Best performance during regular market hours
What Makes This Unique
Multi-Component Analysis: Combines complexity theory, statistical analysis, and traditional technical indicators
Adaptive Parameters: Automatically optimizes settings based on timeframe
Triple-Layer Filtering: Uses trend, volume, and minimum strength thresholds
Visual Confidence System: Color intensity indicates signal strength
Multi-Timeframe Capabilities: Allowing the trader to analyze not only their current time frame but also the higher timeframe bias
🔧 How It Works
The indicator processes market data through four main components:
Complexity Score (40% weight): Analyzes price returns and pattern complexity
Kullback Leibler Divergence (30% weight): Compares current and historical price distributions
RSI Analysis (20% weight): Momentum and oversold/overbought conditions
Bollinger Band Position (10% weight): Price position relative to volatility
Underlying Method
Maintains rolling windows of price data for multiple calculations
Applies custom normalization using hyperbolic tangent function
Weights component scores based on reliability and importance
Generates final bias percentage with confidence visualization
💡 Note: For optimal results, use in conjunction with price action analysis and consider multiple timeframe confirmation. The indicator performs best when all components show alignment.
Midnight Opening Ranges [TDL]
Midnight Opening Ranges with Standard Deviations as taught by Micheal J. Huddleston
- Custom colors
- Up to 10 Std dev levels
- Midnight opening price
- Current and previous ranges with dates and midpoints
Supertrend + Moving AverageSupertrend indicator with a Moving Average (MA) to provide trading signals and trend analysis. Below is a detailed description of the script:
Indicator Overview
Name: Supertrend + Moving Average
Purpose: This indicator overlays the Supertrend and Moving Average on the price chart to help identify trends, potential buy/sell signals, and trend direction changes.
Overlay: The indicator is plotted directly on the price chart (overlay = true).
Inputs
Supertrend Inputs:
ATR Period: The period for calculating the Average True Range (ATR). Default is 10.
Source: The price source for Supertrend calculations. Default is hl2 (the average of high and low prices).
ATR Multiplier: A multiplier applied to the ATR to determine the Supertrend bands. Default is 3.0.
Change ATR Calculation Method: A toggle to switch between using ta.atr() or ta.sma(ta.tr) for ATR calculation. Default is true (uses ta.atr()).
Show Buy/Sell Signals: A toggle to display buy/sell signals on the chart. Default is true.
Highlighter On/Off: A toggle to enable/disable highlighting of the uptrend and downtrend areas. Default is true.
Moving Average Inputs:
MA Period: The period for the Moving Average. Default is 50.
MA Type: The type of Moving Average to use. Options are SMA (Simple Moving Average) or EMA (Exponential Moving Average). Default is SMA.
Calculations
Supertrend Calculation:
The ATR is calculated using either ta.atr() or ta.sma(ta.tr) based on the Change ATR Calculation Method input.
Upper (up) and lower (dn) bands are calculated using the formula:
up = src - Multiplier * atr
dn = src + Multiplier * atr
The trend direction is determined based on the price crossing the upper or lower bands:
trend = 1 for an uptrend.
trend = -1 for a downtrend.
Moving Average Calculation:
The Moving Average is calculated based on the selected type (SMA or EMA) and period.
Plotting
Supertrend:
The upper band (up) is plotted as a green line during an uptrend.
The lower band (dn) is plotted as a red line during a downtrend.
Buy signals are displayed as green labels or circles when the trend changes from downtrend to uptrend.
Sell signals are displayed as red labels or circles when the trend changes from uptrend to downtrend.
The background is highlighted in green during an uptrend and red during a downtrend (if highlighting is enabled).
Moving Average:
The Moving Average is plotted as a blue line on the chart.
Alert Conditions
Buy Signal: Triggers when the Supertrend changes from a downtrend to an uptrend.
Sell Signal: Triggers when the Supertrend changes from an uptrend to a downtrend.
Trend Direction Change: Triggers when the Supertrend direction changes (from uptrend to downtrend or vice versa).
Key Features
Combines Supertrend and Moving Average for enhanced trend analysis.
Customizable inputs for ATR period, multiplier, and Moving Average type/period.
Visual buy/sell signals and trend highlighting.
Alert conditions for real-time notifications.
This script is useful for traders who want to identify trends, confirm signals with a Moving Average, and receive alerts for potential trading opportunities.
Inverika Reversal - Cyclic RSIThis is for reversal trades based on Cyclic RSI Smoothed - Length 20.
Buy when CRSI moves above 40 from below.
Sell when CRSI moves below 60 from above.
The accuracy is phenomenal for holding the trades for big moves. I am using in it in 1 min, 5 min and 15 min TF.
This is just experimental. One should be cautious on their own before using this indicator.
Institutional Moves DetectorIndicator Name: Institutional Pattern Detector
What It Does:
Trend Following: It uses a Moving Average (MA) to understand the general direction of the price. The MA is like a smoothed-out line of the price over time, showing if the price trend is going up or down.
Volatility Measurement: The script employs Bollinger Bands (BB) to see how much the price is fluctuating. Bollinger Bands create an upper and lower "channel" around the price, which gets wider or narrower based on how volatile the price is.
Volume Check: It looks at trading volume to find times when there's unusually high activity, which could mean big players (institutions like banks or funds) are trading. It flags this when the volume is 1.5 times more than the average volume of the last 100 bars.
Pattern Detection for Trading Signals:
Entry Signal ("IN"): When there's high volume and the price is above the upper Bollinger Band, it suggests there might be strong buying from big institutions. This could mean the price might keep going up.
EXIT Signal ("OUT"): If there's high volume and the price falls below the lower Bollinger Band, it indicates possible strong selling pressure from institutions, suggesting the price might go down.
Visual Cues:
An orange label "IN" appears below the price bar for entry signals.
A red label "OUT" appears above the price bar for exit signals.
The moving average line is plotted on the chart in orange to help you see the trend.
Alerts: The script can alert you when these entry or exit signals occur, so you can get notifications without needing to stare at the chart all day.
For New Traders:
This indicator helps you spot when big traders might be influencing the market, potentially giving you a clue about when to enter or exit.
Remember, this is one tool among many. You should not base your trading solely on this; combine it with other analysis methods.
It's always wise to practice with a demo account before using real money to get a feel for how these signals work in actual market conditions.
erfan1rahmati...EMA/ADX1for backtest. this indicator is design for price prediction and anaysis and when the trend is red, two lines are drawn in color and when is is green ....other data can be changed and customized
Chandelier exit bull y sell target [JLPA]es un indicador que fusionamos dos parametros en donde nos muestra una señales de bull y sell en diferentes temporalidades
Previous Candle High Low Break Previous candle high low break strategy if you want break out and break down on
Candles break out patter its sutable strategy
CRP Biased (BITX)### **CRP Biased (BITX) Indicator Description:**
The **CRP Biased (BITX)** indicator provides a dynamic, trend-following tool designed to identify market direction and potential trade opportunities. It combines key elements like volatility bands, trend lines, and moving averages to help traders make informed decisions.
- **Trend Identification**: The indicator utilizes a hybrid line that blends key market references, helping to smooth price action and highlight prevailing market trends. The line dynamically changes color to reflect whether the market is bullish or bearish.
- **Support and Resistance Bands**: With adjustable volatility bands, the indicator marks potential support and resistance levels, allowing traders to spot price extremes and areas of potential reversal.
- **Trade Signals**: Buy and sell signals are generated when the price crosses above or below key levels, helping traders capture potential market moves. These signals are displayed as clear markers on the chart for easy identification.
- **Market Insight**: The indicator includes additional visual elements like the **9 EMA** and **VWAP** to provide further insight into market conditions and reinforce signal reliability.
Ideal for traders who want a comprehensive and visually clear indicator for identifying trends, support/resistance levels, and entry signals in real time.
RSI + MA Buy/Sell Signals//@version=5
indicator("RSI + MA Buy/Sell Signals", overlay=true)
// Inputs
rsiLength = input(14, title="RSI Length")
maLength = input(50, title="Moving Average Length")
oversold = input(30, title="Oversold Level")
overbought = input(70, title="Overbought Level")
// RSI and Moving Average
rsi = ta.rsi(close, rsiLength)
ma = ta.sma(close, maLength)
// Buy Condition
buySignal = ta.crossover(rsi, oversold) and close > ma
// Sell Condition
sellSignal = ta.crossunder(rsi, overbought) and close < ma
// Plot Signals
plotshape(series=buySignal, title="Buy Signal", location=location.belowbar, color=color.green, style=shape.labelup, text="BUY")
plotshape(series=sellSignal, title="Sell Signal", location=location.abovebar, color=color.red, style=shape.labeldown, text="SELL")
// Plot Moving Average
plot(ma, title="Moving Average", color=color.blue)
