Micha Stocks Custom WatermarkThis Pine Script v5 indicator adds a customizable watermark to TradingView charts, displaying key stock information while allowing for flexible positioning and formatting.
📌 Features & Functionality:
✅ Custom Positioning:
• Fixed to the top-left corner.
• Adjustable spacing ensures the text is properly aligned.
✅ Displayed Information (Configurable):
• Company Name & Market Cap (Optional: Shows dynamically calculated market cap)
• Stock Ticker & Timeframe
• Industry & Sector
✅ Customization Options:
• Font Size: Huge, Large, Normal, Small
• Text Color & Transparency: Adjustable
• Proper Left Alignment for a clean, structured display
• Vertical Offset Tweaks to move text down for better visibility
✅ Optimized Table Layout:
• Uses table.new() for persistent placement.
• Added an empty row to fine-tune positioning, ensuring the watermark doesn’t overlap key chart areas.
🔧 Use Case:
Designed for traders who want a clear, customizable stock watermark to enhance their charting experience without obstructing price action.
Chart patterns
Fibonacci Retracement/ExtensionThis Pine Script code implements Fibonacci retracement and extension levels based on a ZigZag pattern. Below is a breakdown of its functionality:
Overview
The script calculates Fibonacci retracement and extension levels by identifying swing highs and swing lows using the ZigZag algorithm. It then plots these levels on the chart for trend analysis.
1. ZigZag Length Input
Defines the ZigZag length, which determines the sensitivity of peak and trough identification.
2. Fibonacci Retracement Calculation
Computes Fibonacci retracement levels using swing highs and lows.
Uses pre-defined Fibonacci ratios (0.236, 0.382, 0.5, 0.618, 0.786, 1.0).
Adjusts line positions dynamically as the trend evolves.
3. Fibonacci Extension Calculation
Identifies Fibonacci extension levels for future price targets.
Uses previous ZigZag patterns to estimate potential price movements.
4. Trend and Fibonacci Configuration
Allows the user to configure Fibonacci trend analysis.
TrendSw: Sets the trend direction (1 = Bullish, -1 = Bearish, 0 = None).
ZigZagleg: Determines the countback value for retracement calculations.
Percentage Retracement from ATH█ OVERVIEW
The Percentage Retracement from ATH indicator is a dynamic trading utility designed to help traders gauge market pullbacks from the peak price. By calculating key retracement levels based on the All-Time High (ATH) and user‑defined percentage inputs, it offers clear visual cues to assist in identifying potential support and resistance zones.
█ KEY FEATURES
Custom Date — Use a custom start date so the indicator only considers specified price action.
Retracement Calculation — Determines ATH and calculates levels based on user‑defined percentages (0% to –100%).
Visual Customisation — Plots configurable horizontal lines and labels showing retracement percentages and prices.
Time Filtering — Uses time filtering to base levels on the desired data period.
█ PURPOSE
Assist traders in visualising the depth of price retracements from recent or historical peaks.
Identify critical zones where the market may find support or resistance after reaching an ATH.
Facilitate more informed entry and exit decisions by clearly demarcating retracement levels on the chart.
█ IDEAL USERS
Swing Traders — Looking to exploit pullbacks following strong upward moves.
Technical Analysts — Interested in pinpointing key retracement levels as potential reversal or continuation points.
Price Action Traders — Focused on the nuances of market peaks and subsequent corrections.
Strategy Developers — Keen to backtest and refine approaches centred on retracement dynamics.
RoGr75 - EMA 50/8 Cross With Buy/Sell Signals RoGr75 - EMA 50/8 Cross With Buy/Sell Signals
---
**Overview:**
This script is designed to generate **Buy** and **Sell** signals based on the crossover and crossunder of two Exponential Moving Averages (EMAs): **EMA 8** (green line) and **EMA 50** (blue line). The signals are plotted at a user-defined distance from the candles, ensuring clear visibility and adaptability to market volatility.
---
**Key Features:**
1. **EMA Cross Signals**:
- A **Buy Signal** is generated when the **EMA 8** crosses above the **EMA 50**.
- A **Sell Signal** is generated when the **EMA 8** crosses below the **EMA 50**.
2. **Variable Signal Distance**:
- The distance of the Buy and Sell signals from the candles is controlled by a **user-defined input** (`signal_distance`).
- The distance is calculated using the **Average True Range (ATR)** to adapt to market volatility.
3. **Customizable Parameters**:
- `signal_distance`: Adjust the distance of the signals from the candles (default: 2.0).
- ATR period: Fixed at 14 but can be modified in the script.
4. **Visual Enhancements**:
- Buy signals are displayed as green labels below the candles.
- Sell signals are displayed as red labels above the candles.
- Optional background highlighting for Buy and Sell signals.
---
**How It Works:**
- The script calculates the **EMA 8** and **EMA 50** and plots them on the chart.
- When a crossover or crossunder occurs, a label is placed at a distance determined by the formula:
- **Buy Signal Position**: `low - (signal_distance * ATR(14))`
- **Sell Signal Position**: `high + (signal_distance * ATR(14))`
- The signals are clearly visible and adapt to the volatility of the asset.
---
**Input Parameters:**
- `signal_distance` (type: input float): Controls the distance of the Buy and Sell signals from the candles. Default value is `2.0`.
---
**Usage:**
1. Add the script to your chart in TradingView.
2. Adjust the `signal_distance` input to set the desired distance of the signals from the candles.
3. Monitor the Buy and Sell signals generated by the script for potential trading opportunities.
---
**Example:**
- If `signal_distance` is set to `2.0`, the Buy signal will appear **2x ATR** below the candle's low, and the Sell signal will appear **2x ATR** above the candle's high.
---
**Customization:**
- Modify the ATR period or replace it with a fixed value for static distance.
- Adjust the colors, styles, and sizes of the labels and EMAs to suit your preferences.
---
**Ideal For:**
- Traders looking for a simple and effective EMA crossover strategy.
- Users who want customizable signal placement for better visibility.
- Those who prefer volatility-adjusted signal distances.
---
**Note:**
This script is for educational and informational purposes only. Always backtest and validate strategies before using them in live trading.
Three Bar Reversal & Patterns with TP, SL and EntryThe indicator I shared implements a strategy to detect and plot several key patterns (Three Bar Reversal, Double Bottom, Double Top, W, and M patterns) along with visual markers for buy and sell signals. It also uses line drawing to connect the patterns and alert the user when a signal is detected.
To identify the time frame suitability for each pattern and signal, let's break down how certain timeframes might affect the effectiveness and frequency of these patterns. Here are some general guidelines:
1. Three Bar Reversal
Best Timeframe: 5-minute to 1-hour.
Why: The Three Bar Reversal is a relatively short-term pattern that reacts quickly to price changes, making it more suitable for lower timeframes (5-minute, 15-minute, 30-minute, or 1-hour). On higher timeframes (like daily), these reversals might become too broad or rare, decreasing their effectiveness.
2. Double Bottom & Double Top
Best Timeframe: 1-hour to 4-hour.
Why: Double bottoms and tops tend to be more reliable on slightly longer timeframes (1-hour, 4-hour). These patterns signify stronger market reversals, so they need more time to form. On shorter timeframes, the patterns might appear too frequently or be invalidated by minor price fluctuations.
3. W Pattern
Best Timeframe: 1-hour to daily.
Why: The W pattern is a trend reversal pattern that tends to form over a longer period of time. It requires a series of price movements to complete, so it is better suited for 1-hour, 4-hour, or daily charts. On shorter timeframes, the pattern could appear too frequently, reducing its reliability.
4. M Pattern
Best Timeframe: 1-hour to daily.
Why: Like the W pattern, the M pattern is a reversal signal that requires more time to form. It’s more reliable on mid-range timeframes (1-hour to daily) where the market has time to develop these top structures. Shorter timeframes will produce more noise and less reliable M patterns.
5. Buy/Sell Signals
Best Timeframe for Buy Signals: 5-minute to 4-hour (for short-term momentum).
Best Timeframe for Sell Signals: 5-minute to 4-hour.
Why: The buy/sell signals can be applied across a range of timeframes. On shorter timeframes (5-minute, 15-minute, or 30-minute), the signals can help capture smaller, quick trends. For more significant moves, you can extend to 1-hour or 4-hour timeframes. Longer timeframes (like daily) would reduce signal frequency, but the signals would likely represent stronger price movements.
Example of Timeframe Suitability:
5-minute charts: Good for Three Bar Reversal and Buy/Sell Signals. Patterns like Double Bottom and Double Top may appear too often and be less significant.
30-minute charts: Suitable for Three Bar Reversal, Double Bottom, Double Top, and Buy/Sell Signals. More reliable than shorter timeframes.
1-hour charts: A balanced timeframe for Double Bottom, Double Top, W, M, and Buy/Sell Signals.
4-hour charts: Excellent for more substantial patterns like Double Bottom, Double Top, W, and M. Three Bar Reversal and Buy/Sell Signals will also be reliable.
Daily charts: Best for identifying more significant patterns like Double Bottom, Double Top, W, and M. Buy and sell signals will appear less frequently.
Made by Karan targetcandlestick basis target .this also includes my strategy about 4 years of experiences.
AyebaleJohnBob-Trading-BotAyebale John Bob - Trading-Bot Overview:
This trading strategy is designed to automate trades based on the "Smart Money Concepts" and "Fair Value Gaps" (FVG). The bot leverages multiple technical indicators and logic to execute buy and sell trades with dynamic stop-loss and take-profit (TP) levels.
Key Features:
User Inputs:
Bull & Bear Colors: Customizable colors for bullish and bearish trends.
Fair Value Gap (FVG) Color: Customizable color for visualizing FVG zones.
ATR Multiplier: Defines the sensitivity of stop-loss calculations based on Average True Range (ATR).
Take-Profit Multipliers: A set of five multipliers that scale take-profit levels dynamically.
Trade Signals:
Buy Signal: Generated when the price crosses above a certain low or when a bullish Fair Value Gap (FVG) is detected.
Sell Signal: Triggered when the price crosses below a high or when a bearish FVG is identified.
Stop-Loss & Take-Profit Logic:
Stop-loss levels are calculated using ATR and the specified multiplier.
Take-profit levels are dynamically determined based on the ATR multipliers, with five different levels for each trade.
Trade Execution:
The strategy allows for five simultaneous buy or sell entries, with each having its own take-profit and stop-loss levels.
The bot operates continuously, without any session restrictions, allowing trades at any time.
Visual Indicators:
Entry Signals: Visual shapes (green for buy and red for sell) appear on the chart to indicate entry points.
Progress Bar: A real-time progress bar is plotted, tracking the percentage gain/loss from the entry price.
Trade Information Table:
A dynamic table is used to display important trade information, including entry price, take-profit levels, and stop-loss. This table updates for each new trade (buy or sell), and shows real-time trade progress.
Risk Management:
The stop-loss is dynamically adjusted based on the ATR calculation, ensuring that the bot adapts to changing market volatility.
Take-profit levels are spread across five increments, offering multiple opportunities for profit capture.
Summary:
The Ayebale John Bob - Trading-Bot is designed to implement a sophisticated strategy that combines smart money concepts, fair value gap analysis, and robust risk management. It provides real-time trade information, progress tracking, and a flexible approach to stop-loss and take-profit strategies. The bot is ideal for traders looking to automate trades and visually track their progress directly on the chart.
Supply Demand basicShow BoS and potential Supply & Demand Zone
Ajust parameters to match with your TF in order to make this tool as usefull as possible for you.
It help to see potential interesting levels
Buy Sell Signal//@version=5
indicator("Buy Sell Signal", overlay=true)
// Input settings
length = input(14, title="Moving Average Length")
maType = input.string("SMA", title="Moving Average Type", options= )
// Calculate Moving Average
ma = maType == "SMA" ? ta.sma(close, length) : ta.ema(close, length)
// Buy and Sell Signals
buySignal = ta.crossover(close, ma)
sellSignal = ta.crossunder(close, ma)
// Plot Buy and Sell Signals
plotshape(series=buySignal, location=location.belowbar, color=color.green, style=shape.labelup, title="Buy Signal")
plotshape(series=sellSignal, location=location.abovebar, color=color.red, style=shape.labeldown, title="Sell Signal")
// Plot Moving Average
plot(ma, title="Moving Average", color=color.blue)
RoGr75 Adaptive EMA CrossDescription:
The RoGr75 Adaptive EMA Cross indicator dynamically combines exponential moving averages (EMAs) with ATR-based volatility buffers to generate buy and sell signals across multiple timeframes. This script uses customizable settings for short and long EMAs, ATR, and volume filters, ensuring that signals are both volatility-adjusted and timeframe-aware. It includes features such as adaptive buffers, distinct price level filters for buying and selling, and a reset mechanism to prevent redundant signals. Additionally, the indicator manages signal labels efficiently to keep your chart uncluttered.
Warning:
This script is provided for testing and educational purposes only. It is not intended as financial advice, and past performance does not guarantee future results. Use at your own risk. Always conduct your own research before making any trading decisions.
Higher Timeframe Input: Choose a specific timeframe for the indicator’s calculations; leave blank to use the chart’s current timeframe.
Signal Distance: Sets the distance of signal labels from the candles as a multiple of the ATR.
Exact Value Offset: Adjusts the secondary marker’s position for precision on the chart.
ATR Length: Defines the period used to calculate the Average True Range for volatility measurement.
EMA Lengths: Specify the periods for the short and long exponential moving averages.
Buy/Sell Buffer ATR Multipliers: Dynamically adjust the trigger distance beyond the EMA crossovers based on volatility.
Price Level Filter: Activates a filter so that buy signals only occur above a set price and sell signals only occur below that price (0 disables the filter).
Volume Filter: Optionally requires current volume to exceed a set multiple of a 20-period average for signal confirmation.
Reset Period: Resets the last signal memory after a specified number of bars to avoid suppressing valid repeat signals.
EMA Colors & Line Width: Customize the appearance of the short and long EMAs.
Label Colors & Styles: Choose colors, text colors, and styles for the buy and sell signal labels.
Background Highlighting: Optionally colors the background when a buy or sell signal occurs.
Label Management: Automatically removes the oldest labels when a set maximum is reached to keep the chart clean.
Alerts: Predefined conditions allow you to set TradingView alerts when buy or sell signals are generated.
Warning: This indicator is for testing purposes only and is not financial advice. Use it at your own risk.
EMA Study Script for Price Action Traders, v2JR_EMA Research Tool Documentation
Version 2 Enhancements
Version 2 of the JR_EMA Research Tool introduces several powerful features that make it particularly valuable for studying price action around Exponential Moving Averages (EMAs). The key improvements focus on tracking and analyzing price-EMA interactions:
1. Cross Detection and Counting
- Implements flags for crossing bars that instantly identify when price crosses above or below the EMA
- Maintains running counts of closes above and below the EMA
- This feature helps students understand the persistence of trends and the frequency of EMA interactions
2. Bar Number Tracking
- Records the specific bar number when EMA crosses occur
- Stores the previous crossing bar number for reference
- Enables precise measurement of time between crosses, helping identify typical trend durations
3. Variable Reset Management
- Implements sophisticated reset logic for all counting variables
- Ensures accuracy when analyzing multiple trading sessions
- Critical for maintaining clean data when studying patterns across different timeframes
4. Cross Direction Tracking
- Monitors the direction of the last EMA cross
- Helps students identify the current trend context
- Essential for understanding trend continuation vs reversal scenarios
Educational Applications
Price-EMA Relationship Studies
The tool provides multiple ways to study how price interacts with EMAs:
1. Visual Analysis
- Customizable EMA bands show typical price deviation ranges
- Color-coded fills help identify "normal" vs "extreme" price movements
- Three different band calculation methods offer varying perspectives on price volatility
2. Quantitative Analysis
- Real-time tracking of closes above/below EMA
- Running totals help identify persistent trends
- Cross counting helps understand typical trend duration
Research Configurations
EMA Configuration
- Adjustable EMA period for studying different trend timeframes
- Customizable EMA color for visual clarity
- Ideal for comparing different EMA periods' effectiveness
Bands Configuration
Three distinct calculation methods:
1. Full Average Bar Range (ABR)
- Uses the entire range of price movement
- Best for studying overall volatility
2. Body Average Bar Range
- Focuses on the body of the candle
- Excellent for studying conviction in price moves
3. Standard Deviation
- Traditional statistical approach
- Useful for comparing to other technical studies
Signal Configuration
- Optional signal plotting for entry/exit studies
- Helps identify potential trading opportunities
- Useful for backtesting strategy ideas
Using the Tool for Study
Basic Analysis Steps
1. Start with the default 20-period EMA
2. Observe how price interacts with the EMA line
3. Monitor the data window for quantitative insights
4. Use band settings to understand normal price behavior
Advanced Analysis
1. Pattern Recognition
- Use the cross counting system to identify typical pattern lengths
- Study the relationship between cross frequency and trend strength
- Compare different timeframes for fractal analysis
2. Volatility Studies
- Compare different band calculation methods
- Identify market regimes through band width changes
- Study the relationship between volatility and trend persistence
3. Trend Analysis
- Use the closing price count system to measure trend strength
- Study the relationship between trend duration and subsequent reversals
- Compare different EMA periods for optimal trend following
Best Practices for Research
1. Systematic Approach
- Start with longer timeframes and work down
- Document observations about price behavior in different market conditions
- Compare results across multiple symbols and timeframes
2. Data Collection
- Use the data window to record significant events
- Track the number of bars between crosses
- Note market conditions when signals appear
3. Optimization Studies
- Test different EMA periods for your market
- Compare band calculation methods for your trading style
- Document which settings work best in different market conditions
Technical Implementation Notes
This tool is particularly valuable for educational purposes because it combines visual and quantitative analysis in a single interface, allowing students to develop both intuitive and analytical understanding of price-EMA relationships.
Falling Wedge Strategy by Nitin//@version=6
strategy("Falling Wedge Strategy by Nitin", overlay=true, margin_long=100, margin_short=100)
// Input parameters
leftBars = input.int(5, "Left Bars for Pivot", minval=1, maxval=20)
rightBars = input.int(5, "Right Bars for Pivot", minval=1, maxval=20)
takeProfitPercent = input.float(20, "Take Profit %", minval=0.1, maxval=100)/100
stopLossPercent = input.float(2, "Stop Loss %", minval=0.1, maxval=100)/100
// Global variables
var float buyPrice = na
var line upperLine = na
var line lowerLine = na
// Detect pivot highs and lows
ph = ta.pivothigh(leftBars, rightBars)
pl = ta.pivotlow(leftBars, rightBars)
// Track last two pivot highs
var float highs = array.new_float()
var int highIndices = array.new_int()
if not na(ph)
array.unshift(highs, ph)
array.unshift(highIndices, bar_index )
if array.size(highs) > 2
array.pop(highs)
array.pop(highIndices)
// Track last two pivot lows
var float lows = array.new_float()
var int lowIndices = array.new_int()
if not na(pl)
array.unshift(lows, pl)
array.unshift(lowIndices, bar_index )
if array.size(lows) > 2
array.pop(lows)
array.pop(lowIndices)
// Calculate trendlines and signals
if array.size(highs) >= 2 and array.size(lows) >= 2
h1 = array.get(highs, 0)
h2 = array.get(highs, 1)
i1 = array.get(highIndices, 0)
i2 = array.get(highIndices, 1)
l1 = array.get(lows, 0)
l2 = array.get(lows, 1)
j1 = array.get(lowIndices, 0)
j2 = array.get(lowIndices, 1)
m_upper = (h1 - h2) / (i1 - i2)
m_lower = (l1 - l2) / (j1 - j2)
currentUpper = h2 + m_upper * (bar_index - i2)
currentLower = l2 + m_lower * (bar_index - j2)
if h1 < h2 and l1 < l2 and m_upper < m_lower and m_upper < 0 and m_lower < 0
line.delete(upperLine)
line.delete(lowerLine)
upperLine := line.new(i2, h2, i1, h1, extend=extend.right, color=color.blue)
lowerLine := line.new(j2, l2, j1, l1, extend=extend.right, color=color.orange)
// Buy signal on breakout
if ta.crossover(close, currentUpper)
strategy.entry("Buy", strategy.long)
buyPrice := close
strategy.exit("Take Profit/Stop Loss", "Buy", stop=buyPrice * (1 - stopLossPercent), limit=buyPrice * (1 + takeProfitPercent))
// Plotting
plotshape(strategy.position_size > 0 ? buyPrice : na, "Buy Price", style=shape.labelup, location=location.belowbar, color=color.green, textcolor=color.white, text="BUY")
plot(strategy.position_size > 0 ? buyPrice * (1 - stopLossPercent) : na, "Stop Loss", color=color.red, linewidth=2)
plot(strategy.position_size > 0 ? buyPrice * (1 + takeProfitPercent) : na, "Take Profit", color=color.green, linewidth=2)
Daily COC Strategy with SHERLOCK WAVESThis indicator implements a unique trading strategy known as the "Daily COC (Candle Over Candle) Strategy" enhanced with "SHERLOCK WAVES" for pattern recognition. It's designed for traders looking to capitalize on specific candlestick formations with a negative risk-reward ratio, with the aim of achieving a high win rate (over 70%) through numerous trading opportunities, despite each trade having a higher risk relative to the reward.
Key Features:
Pattern Recognition: Identifies a setup based on three consecutive candles - a red candle followed by a shooting star, then an entry candle that does not break below the shooting star's low.
Negative Risk/Reward Trade Selection: Focuses on entries where the potential stop loss is greater than the take profit, banking on a high win rate to offset the individual trade's negative risk-reward ratio.
Visual Signals:
Green Label: Marks potential entry points at the high of the candle before the entry.
Green Dot: Indicates a winning trade closure.
Red Dot: Signals a losing trade closure.
Blue Circle: Warns when the current candle is within 2% of breaking above the previous candle's high, suggesting a potential setup is developing.
Green Circle: Plots the take profit level.
Red Circle: Plots the stop loss level.
Dynamic Statistics: A live updating label showing the number of trades, wins, losses, open trades, current account balance, and win percentage.
Customizable Parameters:
Risk % per Trade: Adjust the percentage of your account balance you're willing to risk on each trade.
Initial Account Balance: Set your starting balance for tracking performance.
Start Date for Strategy: Define when the strategy should start calculating from, allowing for backtesting.
Alerts:
An alert condition is set for when a potential trade setup is developing, helping traders prepare for entries.
Usage Tips:
This strategy is predicated on the idea that a high win rate can compensate for the negative risk-reward ratio of individual trades. It might not suit all market conditions or traders' risk profiles.
Use this strategy in conjunction with other analysis methods to validate trade setups.
Note: Always backtest thoroughly before applying to live markets. Consider this tool as part of a broader trading strategy, not a standalone solution. Monitor your win rate and adjust your risk management accordingly to ensure the strategy remains profitable over time.
This description now correctly explains the purpose behind the negative risk-reward ratio in the context of your trading strategy.
Binary Price Action ProBinary Price Action Pro is a powerful TradingView indicator designed for Binary Option Trading.
// It helps traders identify key market structure points, supply & demand zones, candlestick patterns,
Liquidity grabs, and institutional order blocks. With built-in alerts, this tool enhances decision-making.
and improves accuracy in trading strategies.
Features:
✅ Market Structure Breaks (BOS & CHOCH)
✅ Support & Resistance Zones
✅ Supply & Demand Zones
✅ Candlestick Patterns (Engulfing, Pin Bar)
✅ Liquidity Grab & Stop Hunt Detection
✅ Institutional Order Blocks & Fair Value Gaps
✅ Entry & Exit Alerts for Binary Trading
MACD with Candle DisplayMACD Calculation:
Uses user-defined Fast Length, Slow Length, and Signal Smoothing parameters to compute MACD.
Supports SMA (Simple Moving Average) or EMA (Exponential Moving Average) for the MACD line and signal line
Histogram-Based Candle Coloring:
The script categorizes histogram bars into four states:
0 (Very Bullish) → Green
1 (Likely Bearish) → Blue
2 (Likely Bullish) → Orange
3 (Very Bearish) → Red
Histogram Plot:
Displays histogram bars with distinct colors based on price momentum changes.
Market Sentiment Display in Status Line & Price Scale:
Instead of adding a label on the chart (which could obstruct candles), a text display is shown in the price scale and status line:
"0 Very Bullish"
"1 Likely Bearish"
"2 Likely Bullish"
"3 Very Bearish"
The text appears in the top-right corner with white font on a black background.
Purpose:
This indicator enhances the standard MACD by incorporating candle coloring and a cleaner sentiment display in the price scale, helping traders quickly interpret market momentum without cluttering the chart.
withoutfaking Advanced charts readerFeatures:
1. Multi-Timeframe Adaptive:
- Triple EMA system (21/50/200) identifies macro/micro trends
- ADX filter ensures trades only in strong momentum phases
2. Elliott Wave Integration:
- Proprietary EWO (Elliott Wave Oscillator) with signal line
- Detects wave 3 acceleration and wave 5 exhaustion
3. Smart Money Detection:
- Volume-weighted MFI filters false breakouts
- Combined with Stochastic for precision timing
4. Adaptive Alerts:
- Multi-condition confluence required for signals
- Self-adjusting to any timeframe (1m - monthly)
Usage:
- Day Trading: Use on 5-15m charts with tighter EMA settings
- Swing Trading: Apply on 1H-4H with default parameters
- Investing: Weekly/Monthly charts with 50/200 EMA cross
Signal Logic:
- Entries require 5/34 EWO cross + EMA alignment + volume confirmation
- Exits trigger at opposing MFI extreme + EMA flip
Risk Management:
- Bullish signals invalidate below 21 EMA
- Bearish signals cancel above 50 EMA
This system combines institutional flow analysis with technical patterns, designed to adapt to both mean-reverting and trending markets.
Pinbar Detector By Shabi v6Description of the Pinbar Detector Script (Pine Script v6)
This Pinbar Detector script is designed for TradingView using Pine Script v6. It identifies and highlights bullish and bearish pinbars on a price chart.
How It Works
The script evaluates each candlestick and checks whether it meets the conditions for a pinbar pattern:
Body Size: The difference between the open and close prices.
Upper Wick: The distance between the high and the larger of open/close.
Lower Wick: The distance between the low and the smaller of open/close.
Pinbar Criteria:
Bullish Pinbar (Green Marker Below the Candle)
Long lower wick (at least twice the body size).
Short upper wick.
Close is higher than open (bullish candle).
Bearish Pinbar (Red Marker Above the Candle)
Long upper wick (at least twice the body size).
Short lower wick.
Close is lower than open (bearish candle).
Visual Features
Bullish Pinbar → Green Upward Arrow Below the Candle
Bearish Pinbar → Red Downward Arrow Above the Candle
Drawdown Visualisation█ OVERVIEW
The Drawdown Visualisation indicator calculates and displays the instrument’s drawdown (in percent) relative to its all‐time high (ATH) from a user‐defined start date. It provides customisable options for label appearance, threshold lines (0%, –50%, –100%), and can plot historic drawdown levels via pivot detection.
█ USAGE
This indicator should be used with the Percentage Retracement from ATH indicator.
█ KEY FEATURES
Custom Date Settings — Use a custom start date so that only specified price action is considered.
Retracement Level Calculation — Determines ATH and computes multiple retracement levels using percentages from 0% to –100%.
Visual Signals and Customisation — Plots configurable horizontal lines and labels that display retracement percentages and prices.
Time Filtering — Bases calculations on data from the desired time period.
Historic Drawdowns — Display historical drawdowns
█ PURPOSE
Assist traders in visualising the depth of price retracements from recent or historical peaks.
Identify critical zones where the market may find support or resistance after reaching an ATH.
Facilitate more informed entry and exit decisions by clearly demarcating retracement levels on the chart.
█ IDEAL USERS
Swing Traders — Looking to exploit pullbacks following strong upward moves.
Technical Analysts — Interested in pinpointing key retracement levels as potential reversal or continuation points.
Price Action Traders — Focused on the nuances of market peaks and subsequent corrections.
Strategy Developers — Keen to backtest and refine approaches centred on retracement dynamics.
Support and Resistancelookback: This input allows you to specify the number of bars to look back to calculate the support and resistance levels.
support: This is calculated as the lowest low over the specified lookback period.
resistance: This is calculated as the highest high over the specified lookback period.
plot: The support and resistance levels are plotted on the chart with different colors.
bgcolor: This optional feature highlights the support and resistance zones with a semi-transparent background color.
RoGr75 - EMA Cross Signal with Buffer and Variable Distance**Overview**:
This script is designed to identify potential buy and sell signals based on the crossover of two Exponential Moving Averages (EMAs) – a short-term EMA (default: 8 periods) and a long-term EMA (default: 50 periods). To reduce noise and false signals, the script incorporates a customizable buffer percentage, ensuring that signals are only generated when the short-term EMA moves significantly above or below the long-term EMA. Additionally, the script allows users to adjust the distance of the signals from the candles using the Average True Range (ATR) for better visualization.
---
Improvements: Added Buffer Percentage for reduced noise in Signals
### **Key Features**:
1. **EMA Crossover Signals**:
Buy Signal: Generated when the short-term EMA crosses above the long-term EMA.
Sell Signal: Generated when the short-term EMA crosses below the long-term EMA.
2. **Buffer Percentage**:
A user-defined buffer percentage ensures that signals are only triggered when the short-term EMA moves a specified percentage above or below the long-term EMA, reducing false signals.
3. **Customizable Signal Distance**:
Signals are plotted at a user-defined distance from the candles, calculated using the ATR (Average True Range) for dynamic positioning.
4. **Visual Enhancements**:
Buy and sell signals are displayed as labels above or below the candles, with optional background highlighting for better visibility.
5. **Flexible Inputs**:
Users can customize the lengths of the short-term and long-term EMAs, the ATR period, the signal distance multiplier, and the buffer percentage.
6. **Alerts**:
Built-in alert conditions allow users to receive real-time notifications for buy and sell signals.
### **Input Parameters**:
**Short EMA Length**: Period for the short-term EMA (default: 8).
**Long EMA Length**: Period for the long-term EMA (default: 50).
**Signal Distance**: Multiplier for ATR to determine the distance of signals from the candles (default: 2.0).
**ATR Length**: Period for the ATR calculation (default: 14).
**Buffer Percentage**: Percentage buffer for reversal signals to reduce noise (default: 1.0%).
### **Ideal For**:
Traders who use EMA crossovers as part of their strategy.
Those looking to reduce false signals with a buffer mechanism.
Users who prefer dynamic signal positioning based on market volatility (ATR).
### **Notes**:
The buffer percentage ensures that signals are only generated when the price moves significantly, making it suitable for trend-following strategies.
The script is highly customizable, allowing traders to adapt it to different timeframes and instruments.
BLAKFX Trading SystemYour indicator is an advanced Smart Money Concepts (SMC) trading system that combines multiple technical analysis approaches. Here's a detailed breakdown:
1. Core Components:
Market Structure Analysis:
- Break of Structure (BOS) detection
- Change of Character (CHOCH) identification
- Smart Money movement patterns
- Elliott Wave pattern tracking
Liquidity Analysis:
- Identifies buy and sell liquidity zones
- Marks liquidity points with circles (green for buy, red for sell)
- Tracks historical liquidity levels
Order Blocks:
- Detects bullish and bearish order blocks
- Shows them as colored boxes on the chart
- Uses volume confirmation for validation
Fair Value Gaps (FVG):
- Identifies both bullish and bearish FVGs
- Displays them as colored boxes
- Tracks historical FVG levels
2. Technical Elements:
Smart Money Technique (SMT):
- Uses EMA crossovers (50 and 200)
- Volume confirmation
- Shown as diamond shapes on the chart
Central Risk Transfer (CRT):
- Calculates equilibrium levels
- Shows as a yellow line on the chart
- Helps identify potential reversal zones
Elliott Wave Integration:
- Tracks wave counts
- Labels waves on the chart
- Helps with trend structure analysis
3. Trade Signals:
Entry Conditions:
- Long entries shown with green up arrows
- Short entries shown with red down arrows
- Combines multiple confirmations (SMT, liquidity, order blocks)
Visual Indicators:
- Color-coded for easy interpretation
- Historical signals maintained
- Clear entry and exit points
4. Risk Management:
- Built-in risk-reward ratio calculations
- ATR-based volatility consideration
- Clear trade information display
5. Customization Options:
Colors:
- Bullish/Bearish colors
- FVG colors
- Order block colors
Parameters:
- Lookback period
- Risk-reward ratio
- Various technical settings
6. Additional Features:
- Memory management (periodic array clearing)
- Alert conditions for entries
- Detailed trade information labels
- Historical pattern tracking
This indicator is particularly useful for traders who:
- Follow Smart Money Concepts
- Use institutional trading methods
- Need multiple confirmation layers
- Want clear visual signals
- Trade based on order flow and liquidity
Would you like me to elaborate on any particular aspect or explain how specific components work together?
Reversal Opportunity📌 Indicator Description – Reversal Opportunity 🎯
🔍 General Overview
The Reversal Opportunity indicator is designed to identify ideal conditions for Reversal Trading, but it does not provide trade entry signals. Instead, it helps traders determine whether the market conditions are favorable for a potential reversal.
It is specifically designed for traders who execute Reversal trades (Long or Short) and want a clear indication of whether the market is currently suitable for such setups.
💡 What does this indicator do?
- Identifies strong momentum before a reversal (a sharp upward or downward move).
- Detects momentum slowdown (decreasing volume and smaller candles).
- Checks if the RSI is at an extreme level (above 70 or below 30), indicating potential overbought or oversold conditions.
- Displays a table at the top center of the screen with the following key data:
- Are the conditions for a reversal met?
- Is there a slowdown in momentum?
- Is RSI at an extreme level?
- Was there strong uptrend momentum before a possible Short Reversal?
- Was there strong downtrend momentum before a possible Long Reversal?
⚙️ How Does the Indicator Work?
The indicator displays a table in the center of the screen, updating every 5 candles to indicate whether the market conditions are ideal for a reversal trade.
📊 Main Status Row:
- ✔ Ideal Reversal Setup → Conditions for a reversal trade are met (not a trade recommendation).
- ✖ Not Ideal → Reversal conditions are not met; it may be better to wait.
📌 Key Criteria Displayed in the Table:
1. ⚠️ Momentum Slowdown
- Yes → Momentum is weakening (a good sign for reversal trades).
- No → The market is still moving strongly, and a reversal might not be ready yet.
2. 📈 RSI Extreme
- Yes → RSI is above 70 (overbought) or below 30 (oversold), indicating a potential reversal.
- No → RSI is still in a normal range, suggesting that waiting for further confirmation might be wise.
3. 📊 Uptrend Momentum Before Reversal
- Yes → There was a strong uptrend over multiple consecutive candles, potentially setting up for a Short Reversal.
- No → No strong upward momentum was detected, meaning conditions for a Short Reversal may not be ideal.
4. 📉 Downtrend Momentum Before Reversal
- Yes → There was a strong downtrend over multiple consecutive candles, potentially setting up for a Long Reversal.
- No → No strong downward momentum was detected, meaning conditions for a Long Reversal may not be ideal.
🛠️ How to Use the Indicator?
- If "✔ Ideal Reversal Setup" appears, there is a high probability of a market reversal – use your personal entry strategy for further confirmation.
- If Momentum Slowdown = Yes, RSI Extreme = Yes, and strong momentum occurred beforehand, this is an ideal setup for a reversal trade.
- If any conditions are missing ("No"), it may be better to wait for further confirmation instead of entering too early.
- The indicator does NOT provide trade entries! Use your existing trading system for confirmation before entering a trade.
👥 Who Is This Indicator For?
- Reversal traders (entering against the current trend after a strong move).
- Intraday traders looking for reversal trades at extreme market levels.
- Technical traders who rely on Price Action and Volume for trade setups.
⚠️ Disclaimer:
This indicator does not recommend trade entries but provides insight into market conditions. The trader is responsible for risk management and decision-making.
It is best used in combination with additional confirmations such as reversal candles, Order Flow, Bookmap, or Volume Profile to improve accuracy.
🚀 The indicator is ready to use – add it to TradingView and get instant feedback on whether the market is ideal for a Reversal trade!
Order Block, FVG, Breaker Block Detector//@version=5
indicator("Order Block, FVG, Breaker Block Detector", overlay=true)
// Input parametreleri
lookback = input.int(5, title="Order Block Lookback Period")
fvg_lookback = input.int(3, title="FVG Lookback Period")
// Order Block Tespiti
var float order_block_high = na
var float order_block_low = na
if barstate.isconfirmed
// Yükseliş Order Block
if close > ta.highest(high, lookback)
order_block_high := ta.lowest(low, lookback)
order_block_low := na
// Düşüş Order Block
else if close < ta.lowest(low, lookback)
order_block_low := ta.highest(high, lookback)
order_block_high := na
// Order Block Çizimi
plotshape(series=not na(order_block_high), location=location.belowbar, color=color.green, style=shape.labelup, text="OB-H")
plotshape(series=not na(order_block_low), location=location.abovebar, color=color.red, style=shape.labeldown, text="OB-L")
// Fair Value Gap (FVG) Tespiti
var float fvg_high = na
var float fvg_low = na
if barstate.isconfirmed and bar_index >= fvg_lookback
// FVG için üç mumluk yapı kontrolü
if low > high and high < low
fvg_high := high
fvg_low := low
else
fvg_high := na
fvg_low := na
// FVG Çizimi
plotshape(series=not na(fvg_high), location=location.abovebar, color=color.blue, style=shape.labeldown, text="FVG")
plotshape(series=not na(fvg_low), location=location.belowbar, color=color.blue, style=shape.labelup, text="FVG")
// Breaker Block Tespiti
var float breaker_high = na
var float breaker_low = na
if barstate.isconfirmed
// Yükseliş Breaker Block
if close > order_block_high and not na(order_block_high)
breaker_high := order_block_high
breaker_low := na
// Düşüş Breaker Block
else if close < order_block_low and not na(order_block_low)
breaker_low := order_block_low
breaker_high := na
// Breaker Block Çizimi
plotshape(series=not na(breaker_high), location=location.belowbar, color=color.orange, style=shape.labelup, text="BB-H")
plotshape(series=not na(breaker_low), location=location.abovebar, color=color.orange, style=shape.labeldown, text="BB-L")
