IKODO Engulfing Strategy with Dynamic RR# 📈 ELITE ENGULFING STRATEGY - PUBLICATION DESCRIPTION
## **🎯 TITLE:**
**Elite Engulfing Strategy with Dynamic Risk Management - Advanced Pattern Recognition System**
---
## **📊 DESCRIPTION:**
### **🚀 OVERVIEW:**
The **Elite Engulfing Strategy** is a sophisticated trading system that combines advanced pattern recognition with dynamic risk management. This strategy identifies high-probability engulfing patterns while using the 50 EMA as a trend filter, ensuring trades align with the dominant market direction.
### **🔍 KEY FEATURES:**
**📈 ADVANCED PATTERN RECOGNITION:**
- Enhanced engulfing pattern detection with mathematical validation
- Quality filters including wick analysis and body-to-body ratio
- Volume confirmation for signal strength
- ATR-based volatility filtering for optimal entry timing
**🎯 DYNAMIC RISK MANAGEMENT:**
- Customizable Risk-Reward ratio (0.5x to 10x)
- Fibonacci-based take profit levels using swing highs/lows
- ATR-enhanced stop loss placement with buffer zones
- Real-time position sizing based on market volatility
**📊 INTELLIGENT FILTERING SYSTEM:**
- 50 EMA trend filter for directional bias
- Volume multiplier confirmation (1.0x to 3.0x average)
- Minimum engulfing ratio validation (0.01 to 1.0)
- Maximum wick ratio quality control (10% to 80%)
**🔔 COMPREHENSIVE ALERT SYSTEM:**
- Real-time entry signals with price and RR information
- Both alertcondition() and alert() functions for maximum compatibility
- Detailed signal descriptions for manual verification
### **📋 STRATEGY LOGIC:**
**🟢 LONG ENTRY CONDITIONS:**
- Price above 50 EMA (bullish trend confirmation)
- Current bullish candle completely engulfs previous bearish candle
- Current candle's low penetrates previous candle's low
- Volume exceeds average by specified multiplier
- ATR volatility meets minimum threshold
- Wick size within acceptable parameters
**🔴 SHORT ENTRY CONDITIONS:**
- Price below 50 EMA (bearish trend confirmation)
- Current bearish candle completely engulfs previous bullish candle
- Current candle's high penetrates previous candle's high
- Volume and volatility confirmations as above
### **⚙️ CUSTOMIZABLE PARAMETERS:**
**🎯 Risk Management:**
- Risk-Reward Ratio: 0.5 to 10.0 (default: 2.0)
- Fibonacci TP Level: 0.236 to 1.0 (default: 0.618)
- Use Fibonacci toggle for advanced exit strategy
**📈 Trend Analysis:**
- EMA Length: 1 to 200 periods (default: 50)
- EMA Source: OHLC4, Close, HL2, etc.
**🔍 Pattern Quality:**
- Minimum Engulfing Ratio: 0.01 to 1.0 (default: 0.1)
- Maximum Wick Ratio: 10% to 80% (default: 30%)
**🔧 Advanced Filters:**
- Volume Filter: On/Off with 1.0x to 3.0x multiplier
- ATR Filter: 1 to 50 periods with 0.1 to 2.0 ratio threshold
### **📊 PERFORMANCE METRICS:**
- Real-time P&L tracking
- Current trend identification
- ATR volatility measurement
- Risk-reward ratio display
- Strategy parameter overview
### **🎨 VISUAL ELEMENTS:**
- 50 EMA trend line with dynamic coloring
- Entry signals with triangular markers
- Stop loss and take profit levels
- Entry price reference line
- Comprehensive information table
### **💡 BEST PRACTICES:**
- Recommended for 1H to 4H timeframes
- Works best in trending markets
- Combine with higher timeframe analysis
- Use proper position sizing (1-2% risk per trade)
- Monitor during high-impact news events
### **🔧 COMPATIBILITY:**
- Pine Script v6
- Compatible with all TradingView account types
- Optimized for both free and premium users
- Works on all asset classes (Forex, Crypto, Stocks, Indices)
### **⚠️ DISCLAIMER:**
This strategy is for educational purposes only. Past performance does not guarantee future results. Always use proper risk management and never risk more than you can afford to lose. Test thoroughly on paper trading before live implementation.
## **📝 USAGE INSTRUCTIONS:**
1. Add the strategy to your chart
2. Adjust parameters according to your risk tolerance
3. Set up alerts for automated notifications
4. Backtest on your preferred timeframe and asset
5. Start with paper trading to validate performance
6. Implement proper position sizing for live trading
**🎯 Ready to elevate your trading game with professional-grade pattern recognition!**
Candlestick analysis
Multiple timeframe SMAThe goal of this script is to give a quick overview of the SMA line in multiple timeframes.
Default SMA length is 200 but can be changed.
The 6 timeframes can also be adapted.
The result is shown in the bottom left corner as a table with red (bearish SMA) or green (bullish SMA) cells for each timeframe.
The SMA of the current timeframe is also plotted for your convenience.
RSI Seviye Temas GöstergesiWhen the four values you set on the RSI are reached, an exclamation mark appears on the chart to alert you.
Data Monitoring TableThis is a visual data dashboard specifically designed for users engaged in quantitative trading and technical analysis. It is equipped with two data tables that can dynamically display key market technical indicators and cryptocurrency price fluctuation data, supporting customizable column configurations and trading mode filtering.
✅ Core Features:
Intuitive display of critical technical indicators, including the Relative Strength Index (RSI), K-line entity gain, upper/lower shadow ratio, trading volume level, and change rate.
Multi-timeframe tracking of price fluctuations for BTC/ETH/SOL/XRP/DOGE (1-day, 6-hour, 3-hour).
Selectable trading modes: "long-only", "short-only", or "both".
Customizable number of columns to adapt to analysis needs across different timeframes.
All data is visualized in tables with color-coded prompts for market conditions (overbought, oversold, high volatility, low volatility, etc.).
📈 Target Audience:
Investors seeking systematic access to technical data.
Quantitative strategy developers aiming to capture market structural changes.
Intermediate and beginner traders looking to enhance market intuition and decision-making.
New Feature:
We have added a trading volume monitoring grade setting feature. Users can set the monitoring grade by themselves. When the market trading volume reaches this grade, the system will trigger an alarm. The default setting is level 5. This setting is designed to filter out trades with small fluctuations, helping users to capture key trading signals more accurately and improve the efficiency of trading decisions.
中文介绍
这是一款专为量化交易和技术分析用户设计的可视化数据仪表盘。它配备两个数据表格,可动态展示关键市场技术指标与加密货币价格波动数据,支持自定义列配置和交易模式筛选。
✅ 核心功能:
直观展示相对强弱指标(RSI)、K 线实体涨幅、上下影线比例、成交量水平及变化率等关键技术指标。
多时间框架追踪 BTC/ETH/SOL/XRP/DOGE 价格波动(1 日、6 小时、3 小时)。
可选交易模式:“仅做多”“仅做空” 或 “多空双向”。
可自定义列数,适配不同时间框架的分析需求。
所有数据以表格可视化呈现,通过颜色标注提示市场状况(超买、超卖、高波动、低波动等)。
📈 目标用户:
寻求系统获取技术数据的投资者。
旨在捕捉市场结构变化的量化策略开发者。
希望提升市场洞察力和决策能力的初、中级交易者。
新增功能:
我们新增了成交量监控等级设置功能。用户可自行设定监控等级,当市场成交量达到该等级时,系统将触发警报。默认设置为 5 级,此设置旨在过滤掉小幅波动的交易,帮助用户更精准地捕捉关键交易信号,提升交易决策效率。
Open = High or LowThis indicator highlights potential intraday reversal points by detecting when a candle's opening price is equal to its high or low.
Hybrid Fibo+MA Strategy (Looser Buy)This script implements a hybrid trend-following and swing-reversal indicator for stocks and other assets across any timeframe. It combines classic Fibonacci retracement and extension zones, adaptive moving averages, and LazyBear's Squeeze Momentum (SQZMOM) to help identify high-probability Buy and Sell signals.
Key Features:
Multi-Timeframe Adaptability: Works on 30m, 4h, daily, weekly, and monthly charts with dynamic trend reference levels.
Flexible Sensitivity: The Swing Lookback length lets you adjust for more or fewer signals depending on your trading style.
Looser Buy, Stricter Sell: Buy signals are designed to trigger on swing lows with rising momentum, while sell signals require multiple bearish confirmations and trend alignment, helping to avoid false exits from minor pullbacks.
Fibonacci Zones: Highlights potential support/resistance areas with automatic Fib plotting.
No Repainting: All calculations are based strictly on bar-close data; no future leaks or lookahead bias.
How to Use:
Add the indicator to any chart. Adjust the sensitivity and enable/disable moving average and Fib levels as desired for your strategy or timeframe. Use signals as directional trade ideas, in combination with your own risk management.
Supply/Demand Zones (Synthetic SMA Candles)Supply/Demand Zones (Synthetic SMA Candles)
Created by The_Forex_Steward
This indicator highlights institutional-style supply and demand zones using synthetic SMA-based candles rather than raw price data. It provides a smoother, more refined view of price action to help identify key imbalance areas where price is likely to react.
Features:
- Uses SMA-smoothed synthetic candles to detect bullish and bearish engulfing structures
- Draws demand zones after bullish breakouts and supply zones after bearish breakouts
- Zones are persistent for a customizable number of bars
- Mitigated zones can optionally be removed from the chart
- Includes alerts for breakout and mitigation events
- Optional plotting of synthetic candles over price for visual clarity
How It Works:
When a synthetic candle closes above the high of a previous bearish candle, a bullish engulfing is detected, and a demand zone is created from that bearish candle’s high and low. Conversely, when price closes below the low of a previous bullish candle, a supply zone is formed. These zones stay on the chart for the user-defined duration or until they are mitigated by price, at which point they can be removed automatically.
How to Use:
- Adjust the SMA Length to control how smooth the synthetic candles appear
- Enable or disable Show Supply Zones and Show Demand Zones as needed
- Set the Zone Duration to control how long each zone persists
- Use Delete Mitigated Zones to automatically remove zones when price returns to them
- Optionally enable Show Synthetic SMA Candles to see the candle logic used in detection
- Use the built-in alerts to stay notified of new zone creation or mitigation
Note: This tool is most effective when combined with structure or trend-based strategies for confirmation.
TAO Sweep + Full Bottom DetectionTao liquidity sweep detector. Uses analysis of btc dominance PA and eth/btc PA as confluences. Uses volume moving average to catch sweeps of the lows.
First EMA 9 & 21 Breakout SignalThis will give indiacation on the bars that close below and above 9 and 21
MACD with Colored HistogramA script specifying the difference between convergence and divergence indicated with an icon.
Unified Sentiment Candles Overlay (SMA)Unified Sentiment Candles (SMA) Indicator
The Unified Sentiment Candles (SMA) is a custom overlay indicator designed to provide a smoothed visualization of market sentiment by plotting synthetic candles based on the Simple Moving Average (SMA) of open, high, low, and close prices. It helps traders identify trend direction and potential reversals more clearly.
How to Use:
- Observe Candle Colors: Green candles indicate bullish sentiment (close ≥ open), while red candles suggest bearish sentiment (close < open).
- Trend Identification: Consistent green candles point to an uptrend, whereas consistent red candles may signal a downtrend.
- Support & Resistance Zones: The SMA-based candles smooth out short-term volatility, assisting in spotting key support and resistance levels.
- Entry & Exit Signals: Look for color changes or candle pattern formations within the synthetic candles to time entries and exits more effectively.
Settings:
SMA Length : Adjust this parameter to control the smoothing period. A shorter length makes the indicator more responsive, while a longer length smooths out more noise.
This indicator is best used in conjunction with other technical analysis tools to confirm signals and improve trading accuracy.
This script is open-source and licensed under the Mozilla Public License 2.0. Use and modify it at your own discretion.
Smart Flow Pro v3 – Pattern Learning Engine
smart flow pro
### 📄 **Script Description (for TradingView):**
> **Smart Flow Pro v3** is an advanced confluence-based trading strategy built for futures, crypto, and forex markets.
>
> It combines key elements of smart money concepts, trend analysis, momentum, volume, and price action patterns. The script only triggers entries when multiple high-probability conditions align — using a dynamic scoring system to filter for the best trades.
>
> **Included Features:**
>
> * EMA 50/200 trend filter
> * RSI momentum confirmation
> * Fair Value Gap (FVG) detection
> * VWAP zone logic
> * Volume spike detection
> * Candlestick patterns (engulfing, hammers, morning/evening stars)
> * Chart pattern simulation (double tops & bottoms)
> * ATR-based Stop Loss & Take Profit
> * Adjustable scoring threshold to filter signals
> * All features customizable in script settings
> Designed for 1H, 4H, and Daily charts, this strategy is optimized for traders looking for high-quality signals with controlled risk.
>
> **Best used with:** BTC, ETH, and major altcoins on high-volume futures platforms (e.g., MEXC, Binance).
>
> Feel free to experiment with thresholds, timeframes, and SL/TP multipliers based on your trading style.
>
> ⚠️ *Backtest thoroughly and manage risk appropriately. Not financial advice.*
---
Volume + Price Reversal SignalTesting so not sure if it works, using volume and candlesticks to determine reversals
Smart Candlestick PredictorOf course, here is a step-by-step explanation of what this Pine Script code does, written in English.
This code is a technical analysis indicator written for the TradingView platform. Its primary purpose is to automatically detect common candlestick patterns on financial charts (e.g., for stocks, cryptocurrencies, forex, etc.), which often provide clues about future price movements.
We can break down what the code does into 4 main parts:
1. Defining Candlestick Patterns
The first and largest section of the code (// === CANDLESTICK PATTERN DEFINITIONS ===) mathematically defines 7 different candlestick patterns. There is a function (is...()) for each pattern:
isBullishEngulfing(): Detects a large bullish candle that completely "engulfs" the previous bearish candle. It is considered a bullish signal.
isBearishEngulfing(): Detects a large bearish candle that completely "engulfs" the previous bullish candle. It is considered a bearish signal.
isHammer(): A candle with a small body and a long lower shadow, usually appearing after a downtrend. It can signal a potential reversal to the upside.
isShootingStar(): A candle with a small body and a long upper shadow, usually appearing after an uptrend. It can signal a potential reversal to the downside.
isDoji(): A candle where the open and close prices are nearly the same, indicating indecision in the market.
isMorningStar(): A powerful three-candle pattern that signals a potential end to a downtrend and the beginning of an uptrend.
isEveningStar(): A powerful three-candle pattern that signals a potential end to an uptrend and the beginning of a downtrend.
2. Detecting and Interpreting Patterns
The code runs the functions defined above for each new candle that forms on the chart.
If one of these 7 patterns is detected, the code temporarily stores information related to that pattern:
patternText: The name of the pattern (e.g., "Bullish Engulfing").
directionText: The predicted direction (e.g., "LONG", "SHORT", or "NEUTRAL").
probabilityValue: A predefined percentage set by the script's author, representing the supposed success rate of the pattern (e.g., 72.0%). It is important to remember that these probabilities are based on general trading conventions, not on a rigorous statistical backtest.
3. Displaying Labels on the Chart
When a pattern is found, the script creates a visual marker to make the chart easier to read:
It places an orange label (label) just above the detected candle.
This label contains the pattern's name, its predicted direction, and the probability percentage.
Example:
Bullish Engulfing
LONG (72.00%)
4. Setting Up Alerts
The final section of the code allows the user to set up automatic alerts for these patterns.
Thanks to the alertcondition() function, you can configure TradingView to send you a notification (e.g., a sound, an email, a mobile push notification) the moment one of these patterns occurs, so you don't have to watch the charts constantly.
In Summary:
This code, named "Smart Candlestick Predictor," acts as an automated technical analysis assistant. It constantly scans a financial chart to find significant candlestick patterns, shows you what it finds by placing labels on the chart, and can alert you whenever these events happen.
HTF CandlesThis indicator helps to visualize what is happening on the higher timeframe on your current chart without having to change intervals. Quickly see gaps, imbalances, trends on the higher timeframe while you are trading. Works excellent for seeing 5m or 15m trend on a 1m chart for example.
☀️ GAPGAP
The Opening Range Gap marks distance between the previous session's close and the opening of the next session
IME's Community First Presented FVGs v1.11IME's First Presented Fair Value Gaps - ICT Concept
The first clean institutional inefficiency established after opening session noise and artifacts are filtered out.
ICT Methodology:
Institutional algorithms handle opening mechanics (9:30 AM) before establishing reference levels
9:31 AM minimum rule - smart money waits for opening volatility to settle
First genuine directional intent from institutional orderflow post-opening chaos
Key Features:
Price magnet and session reference level for the trading day
Opening Range sessions: AM (9:30-10:00) & PM (13:30-14:00)
C.E. levels at 50% for institutional retracement targeting
Current day focus - where algorithms first show institutional bias
Optional 9:30 detection - choice to display FVGs that form during opening mechanics
Full replay mode implementation - perfect for backtesting and practice trading
IME's A.FVG Enhancement:
After years of intensive backtesting and research, Institutional Market Engineer has developed Advanced Fair Value Gaps (A.FVGs) - an enhanced detection method that captures complete institutional inefficiency zones with extraordinary magnetic properties and superior targeting accuracy.
Thousands of hours of analysis have refined this approach to provide additional precision alongside traditional methods. Experience the difference yourself - see how this identifies where smart money first declares directional intent after filtering out retail noise.
Coming Soon: IME's Institutional Pro Version
Previous days FVGs, quadrant levels, alert systems, and institutional-grade features for professional traders.
⚠️ Disclaimer: This indicator does not guarantee trading success. Always conduct your own technical analysis and risk management. Past performance does not indicate future results. Trade responsibly.
IKODO Harmonic Patterns🧠 IKODO Prof Price Action Indicator
"Let the price speak. We just listen."
While most traders rely on lagging tools, IKODO Prof reads the raw language of the market — price itself.
🔹 Zero lag. Zero noise. Pure price intelligence.
🔹 Real-time detection of breaker zones, liquidity hunts, and smart money traps
🔹 Designed for institutional-grade precision
🔹 Built for scalpers, swing traders, and those who don't follow the herd
> “Price action is not a tool — it’s a mindset.”
Welcome to IKODO Prof — a weapon, not just an indicator.
Multi-Market Strategy | Trade BOOSTMulti-Market Adaptive Trend Strategy
Description:
This strategy is designed for active traders seeking consistent returns across various markets (cryptocurrency, forex, indices, and commodities) on the 15-minute timeframe. It employs a dynamic trend-following and volatility-adaptive approach, using a combination of price momentum, volatility measures, and market strength filters. The system aims to capture sustainable trends while avoiding periods of sideways or uncertain market conditions.
Key Features:
• Trend Identification:
The strategy determines the prevailing market trend using a dual-layer moving average system. Trades are only allowed in the direction of the dominant trend, minimizing counter-trend exposures.
• Momentum and Strength Filtering:
Momentum indicators are used to confirm the presence of market impetus before entering a trade. Additionally, a trend strength filter prevents entries during periods of low directional movement, helping to avoid whipsaws and false signals.
• Volatility-Adaptive Risk Management:
Position sizing, stop-loss, and take-profit levels are dynamically adjusted based on real-time volatility, as measured by a standard volatility indicator. This ensures risk is proportional to current market conditions, enhancing both capital protection and opportunity capture.
• Trigger-Based Entry:
Trades are triggered by price action confirming the trend and momentum bias—entries occur only after the market demonstrates intent to move beyond recent support/resistance or range levels, reducing the likelihood of premature or false breakouts.
• Smart Exit Logic:
Exits are governed by a combination of fixed and trailing mechanisms, allowing for profits to be maximized during strong trends while also locking in gains if reversals occur. All exit and risk management parameters are automatically scaled relative to the current volatility environment.
Trading Universe:
The strategy is optimized for multi-market application and has been tested on major crypto pairs, forex majors, global equity indices, and gold.
Performance Objective:
The system is engineered for moderate trade frequency and targets a robust monthly return with controlled drawdown, striving for a risk-reward ratio that supports sustainable capital growth over time.
Disclaimer:
This strategy is for informational and educational purposes only. Past performance is not indicative of future results. Always test on demo and assess fit for your risk profile before applying to live trading.
Supertrend with EMASupertrend with EMA Technical Documentation
This document provides a technical overview of the "Supertrend with EMA" Pine Script indicator, designed for use on TradingView. This indicator combines the popular Supertrend indicator with an Exponential Moving Average (EMA) and an additional smoothing line, offering a comprehensive view of trend direction and potential support/resistance levels.
Indicator Overview
The "Supertrend with EMA" indicator is an overlay script, meaning it plots directly on the price chart. It is compatible with all timeframes and handles timeframe gaps.
Key Features:
Supertrend Calculation: Identifies trend direction using Average True Range (ATR) and a user-defined factor.
EMA Integration: Displays an Exponential Moving Average for additional trend confirmation and dynamic support/resistance.
Smoothing Line: Incorporates a customizable smoothing line applied to the EMA, offering further refinement of trend signals.
Visual Trend Representation: Clearly distinguishes uptrends (green) from downtrends (red) using filled areas.
Alerts: Provides alert conditions for Supertrend trend reversals.
Inputs
Users can customize the indicator's behavior through the following input parameters:
Supertrend Settings
ATR Length: input.int(10, "ATR Length", minval = 1)
Description: The lookback period used for calculating the Average True Range (ATR). A higher value results in a smoother Supertrend line, while a lower value makes it more reactive.
Default: 10
Minimum: 1
Factor: input.float(3.0, "Factor", minval = 0.01, step = 0.01)
Description: The multiplier applied to the ATR to determine the Supertrend bands. A higher factor creates wider bands and fewer signals, while a lower factor creates narrower bands and more signals.
Default: 3.0
Minimum: 0.01
Step: 0.01
EMA Settings
EMA Length: input.int(9, minval=1, title="EMA Length")
Description: The number of bars used in the Exponential Moving Average calculation.
Default: 9
Minimum: 1
Source: input(close, title="Source")
Description: The price series used for EMA calculation. By default, it uses the close price.
Default: close
Offset: input.int(title="Offset", defval=0, minval=-500, maxval=500, display = display.data_window)
Description: Shifts the EMA plot horizontally by the specified number of bars.
Default: 0
Minimum: -500
Maximum: 500
Smoothing Settings
Method: input.string(title = "Method", defval = "SMA", options= , group="Smoothing", display = display.data_window)
Description: Selects the type of moving average to use for smoothing the EMA. Options include Simple Moving Average (SMA), Exponential Moving Average (EMA), Smoothed Moving Average (SMMA/RMA), Weighted Moving Average (WMA), and Volume Weighted Moving Average (VWMA).
Default: "SMA"
Length: input.int(title = "Length", defval = 5, minval = 1, maxval = 100, group="Smoothing", display = display.data_window)
Description: The lookback period for the selected smoothing method.
Default: 5
Minimum: 1
Maximum: 100
Calculations
Supertrend Calculation
The Supertrend indicator is calculated using the built-in ta.supertrend function:
= ta.supertrend(factor, atrPeriod)
supertrend: The actual Supertrend line value.
direction: Indicates the current trend direction. A value of -1 typically signifies an uptrend, and 1 signifies a downtrend.
The supertrend line is plotted in green for uptrends and red for downtrends, with fills between the bodyMiddle (average of open and close prices) and the Supertrend line for visual clarity.
Exponential Moving Average (EMA) Calculation
The EMA is calculated using the ta.ema function:
out = ta.ema(src, len)
src: The user-defined source series (default: close).
len: The user-defined EMA length.
Smoothing Line Calculation
A custom ma function is used to calculate various types of moving averages, which is then applied to the EMA output:
out: The calculated EMA value.
smoothingLength: The user-defined length for the smoothing moving average.
typeMA: The user-selected type of moving average for smoothing.
Plots
The indicator plots the following on the chart:
Up Trend: The Supertrend line when the direction indicates an uptrend (color: green).
Down Trend: The Supertrend line when the direction indicates a downtrend (color: red).
Body Middle: The average of the open and close prices (open + close) / 2. This plot is hidden (display = display.none) but used for filling the areas between the price and Supertrend line.
EMA: The Exponential Moving Average (color: blue).
Smoothing Line: The moving average applied to the EMA (color: orange, hidden by default).
Alerts
The indicator provides three alert conditions based on Supertrend trend reversals:
Downtrend to Uptrend: Triggers when the Supertrend direction switches from downtrend (direction > direction) to uptrend.
Uptrend to Downtrend: Triggers when the Supertrend direction switches from uptrend (direction < direction) to downtrend.
Trend Change: Triggers on any Supertrend trend reversal (direction != direction), combining both downtrend to uptrend and uptrend to downtrend changes.