337 Day EMA with buy/selll and uptrend downtrend Notifications!337 Day EMA with buy/selll and uptrend downtrend Notifications!
A a sophisticated trading tool designed to help traders identify significant market trends and make informed decisions. By leveraging the 337-day Exponential Moving Average (EMA), this indicator provides a clear visual representation of the long-term price trend of an asset. The EMA gives more weight to recent prices, making it a responsive and reliable indicator.
Key Features
337-day EMA Calculation
The indicator calculates the 337-day EMA, which smooths out price data and highlights the overall trend by giving greater significance to recent price changes.
Trend Identification
Uptrend: An uptrend is detected when the price crosses above the 337 EMA, signaling a potential bullish market. This is visually represented with a green "Uptrend" label below the corresponding bar.
Downtrend A downtrend is identified when the price crosses below the 337 EMA, indicating a potential bearish market. This is marked with a red "Downtrend" label above the corresponding bar.
Alert Notifications
The indicator includes built-in alert conditions for both uptrends and downtrends. Traders receive real-time notifications when the price crosses above or below the 337 EMA, ensuring they are promptly informed of significant market movements.
Customizable Visuals
The uptrend and downtrend labels are designed to be easily readable, with green "Uptrend" text boxes and red "Downtrend" text boxes, enhancing the clarity of the trend signals.
Benefits
Timely Alerts: Receive instant notifications about key trend changes, allowing for timely trading decisions.
Long-Term Perspective: The 337-day EMA provides a comprehensive view of the market's long-term trend, reducing the noise of short-term fluctuations.
Enhanced Readability: The clear visual labels for uptrends and downtrends make it easy to interpret the market conditions at a glance.
By integrating the "337 EMA with Uptrend/Downtrend Notifications" into your trading strategy, you can stay ahead of market trends and make more informed trading decisions. This tool is particularly useful for traders looking for a reliable way to identify long-term trends and react to significant market movements effectively.
Let me know if there's anything else you need or if you want more details! 📈
Grafik Paternleri
MA Crossover Forex Bot by BomoloThis a simple trading strategy. MA cross overs. When the 21 Moving average cross over 50 moving average "GOLDEN CROSS" the bot take long trade. and when 50 moving average crosses over 21 moving average "DEATH" cross. The bot takesshort trade
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?
Previous 4H Candle Open and Close Vertical LinesPrevious 4H open and close for entry.
This indicator is useful for traders who want to visualize the start and end of the previous 4-hour candle. It can help identify key levels, such as support and resistance, or analyze price action around these times.
Let me know if you need further assistance!
200 Day EMA Slow Ema with uptrend and downtrend signal!
The 200 Exponential Moving Average (EMA) is a widely-used technical indicator in trading. It helps traders identify the overall direction of the market by smoothing out price data over a longer period. The 200 EMA gives more weight to recent prices, making it more responsive to new information compared to a simple moving average.
Identifying Market Trends:
Uptrend: When the price of an asset is consistently above the 200 EMA, it suggests that the market is in an uptrend. Traders often interpret this as a sign of bullish sentiment and may look for buying opportunities.
Downtrend: Conversely, when the price is consistently below the 200 EMA, it indicates a downtrend. This is typically seen as a bearish signal, and traders might consider selling or shorting the asset.
Setting Up Notifications:
To stay informed about these key movements, you can set up notifications on your trading platform to alert you when the price crosses the 200 EMA:
Uptrend Notification: This alert triggers when the price crosses above the 200 EMA, signaling a potential uptrend.
Downtrend Notification: This alert triggers when the price crosses below the 200 EMA, signaling a potential downtrend.
By setting these notifications, you can ensure that you are promptly informed about significant market changes, allowing you to make timely trading decisions without constantly monitoring the charts.
Ultimate Stochastics Strategy by NHBprod Use to Day Trade BTCHey All!
Here's a new script I worked on that's super simple but at the same time useful. Check out the backtest results. The backtest results include slippage and fees/commission, and is still quite profitable. Obviously the profitability magnitude depends on how much capital you begin with, and how much the user utilizes per order, but in any event it seems to be profitable according to backtests.
This is different because it allows you full functionality over the stochastics calculations which is designed for random datasets. This script allows you to:
Designate ANY period of time to analyze and study
Choose between Long trading, short trading, and Long & Short trading
It allows you to enter trades based on the stochastics calculations
It allows you to EXIT trades using the stochastics calculations or take profit, or stop loss, Or any combination of those, which is nice because then the user can see how one variable effects the overall performance.
As for the actual stochastics formula, you get control, and get to SEE the plot lines for slow K, slow D, and fast K, which is usually not considered.
You also get the chance to modify the smoothing method, which has not been done with regular stochastics indicators. You get to choose the standard simple moving average (SMA) method, but I also allow you to choose other MA's such as the HMA and WMA.
Lastly, the user gets the option of using a custom trade extender, which essentially allows a buy or sell signal to exist for X amount of candles after the initial signal. For example, you can use "max bars since signal" to 1, and this will allow the indicator to produce an extra sequential buy signal when a buy signal is generated. This can be useful because it is possible that you use a small take profit (TP) and quickly exit a profitable trade. With the max bars since signal variable, you're able to reenter on the next candle and allow for another opportunity.
Let me know if you have any questions! Please take a look at the performance report and let me know your thoughts! :)
Overnight vs Intra-day Performance█ STRATEGY OVERVIEW
The "Overnight vs Intra-day Performance" indicator quantifies price behaviour differences between trading hours and overnight periods. It calculates cumulative returns, compound growth rates, and visualizes performance components across user-defined time windows. Designed for analytical use, it helps identify whether returns are primarily generated during market hours or overnight sessions.
█ USAGE
Use this indicator on Stocks and ETFs to visualise and compare intra-day vs overnight performance
█ KEY FEATURES
Return Segmentation : Separates total returns into overnight (close-to-open) and intraday (open-to-close) components
Growth Tracking : Shows simple cumulative returns and compound annual growth rates (CAGR)
█ VISUALIZATION SYSTEM
1. Time-Series
Overnight Returns (Red)
Intraday Returns (Blue)
Total Returns (White)
2. Summary Table
Displays CAGR
3. Price Chart Labels
Floating annotations showing absolute returns and CAGR
Color-coded to match plot series
█ PURPOSE
Quantify market behaviour disparities between active trading sessions and overnight positioning
Provide institutional-grade attribution analysis for returns generation
Enable tactical adjustment of trading schedules based on historical performance patterns
Serve as foundational research for session-specific trading strategies
█ IDEAL USERS
1. Portfolio Managers
Analyse overnight risk exposure across holdings
Optimize execution timing based on return distributions
2. Quantitative Researchers
Study market microstructure through time-segmented returns
Develop alpha models leveraging session-specific anomalies
3. Market Microstructure Analysts
Identify liquidity patterns in overnight vs daytime sessions
Research ETF premium/discount mechanics
4. Day Traders
Align trading hours with highest probability return windows
Avoid overnight gaps through informed position sizing
Parabolic Detector (10min, 75°)Объяснение :
Таймфрейм 10 минут:
Используется функция request.security для получения цены закрытия за последние 10 минут.
Таймфрейм задается через input.timeframe("10", ...).
Расчет угла наклона:
Изменение цены (price_change) рассчитывается как разница между текущей ценой закрытия и ценой закрытия 10 минут назад.
Угол наклона (angle) рассчитывается с использованием функции math.atan (арктангенс). Учитывается, что 10 минут = 600 секунд.
Пороговое значение 75 градусов:
Если абсолютное значение угла (math.abs(angle)) больше или равно 75 градусам, то движение считается параболическим.
Визуализация:
На графике отображается метка "PARABOLIC", если движение параболическое.
Last Candle OHLCThis simple yet powerful TradingView indicator displays the Open, High, Low, and Close (OHLC) values of the last completed candle directly on your chart. Whether you're trading stocks, forex, or crypto, having quick access to the most recent candle's price levels can be crucial for decision-making.
✨ Features:
✅ Shows the Open, High, Low, and Close of the last completed candle
✅ Works on any timeframe and asset
✅ Helps traders spot key price levels for entry, stop-loss, or take-profit decisions
Perfect for price action traders, scalpers, and swing traders! 🚀
SMA + RSI + Volume + ATR StrategySMA + RSI + Volume + ATR Strategy
1. Indicators Used:
SMA (Simple Moving Average): This is a trend-following indicator that calculates the average price of a security over a specified period (50 periods in this case). It's used to identify the overall trend of the market.
RSI (Relative Strength Index): This measures the speed and change of price movements. It tells us if the market is overbought (too high) or oversold (too low). Overbought is above 70 and oversold is below 30.
Volume: This is the amount of trading activity. A higher volume often indicates strong interest in a particular price move.
ATR (Average True Range): This measures volatility, or how much the price is moving in a given period. It helps us adjust stop losses and take profits based on market volatility.
2. Conditions for Entering Trades:
Buy Signal (Green Up Arrow):
Price is above the 50-period SMA (indicating an uptrend).
RSI is below 30 (indicating the market might be oversold or undervalued, signaling a potential reversal).
Current volume is higher than average volume (indicating strong interest in the move).
ATR is increasing (indicating higher volatility, suggesting that the market might be ready for a move).
Sell Signal (Red Down Arrow):
Price is below the 50-period SMA (indicating a downtrend).
RSI is above 70 (indicating the market might be overbought or overvalued, signaling a potential reversal).
Current volume is higher than average volume (indicating strong interest in the move).
ATR is increasing (indicating higher volatility, suggesting that the market might be ready for a move).
3. Take Profit & Stop Loss:
Take Profit: When a trade is made, the strategy will set a target price at a certain percentage above or below the entry price (1.5% in this case) to automatically exit the trade once that target is hit.
Stop Loss: If the price goes against the position, a stop loss is set at a percentage below or above the entry price (0.5% in this case) to limit losses.
4. Execution of Trades:
When the buy condition is met, the strategy will enter a long position (buying).
When the sell condition is met, the strategy will enter a short position (selling).
5. Visual Representation:
Green Up Arrow: Appears on the chart when the buy condition is met.
Red Down Arrow: Appears on the chart when the sell condition is met.
These arrows help you see at a glance when the strategy suggests you should buy or sell.
In Summary:
This strategy uses a combination of trend-following (SMA), momentum (RSI), volume, and volatility (ATR) to decide when to buy or sell a stock. It looks for opportunities when the market is either oversold (buy signal) or overbought (sell signal) and makes sure there’s enough volume and volatility to back up the move. It also includes take-profit and stop-loss levels to manage risk.
Multi-Timeframe RSI Grid Strategy with ArrowsKey Features of the Strategy
Multi-Timeframe RSI Analysis:
The strategy calculates RSI values for three different timeframes:
The current chart's timeframe.
Two higher timeframes (configurable via higher_tf1 and higher_tf2 inputs).
It uses these RSI values to identify overbought (sell) and oversold (buy) conditions.
Grid Trading System:
The strategy uses a grid-based approach to scale into trades. It adds positions at predefined intervals (grid_space) based on the ATR (Average True Range) and a grid multiplication factor (grid_factor).
The grid system allows for pyramiding (adding to positions) up to a maximum number of grid levels (max_grid).
Daily Profit Target:
The strategy has a daily profit target (daily_target). Once the target is reached, it closes all open positions and stops trading for the day.
Drawdown Protection:
If the open drawdown exceeds 2% of the account equity, the strategy closes all positions to limit losses.
Reverse Signals:
If the RSI conditions reverse (e.g., from buy to sell or vice versa), the strategy closes all open positions and resets the grid.
Visualization:
The script plots buy and sell signals as arrows on the chart.
It also plots the RSI values for the current and higher timeframes, along with overbought and oversold levels.
How It Works
Inputs:
The user can configure parameters like RSI length, overbought/oversold levels, higher timeframes, grid spacing, lot size multiplier, maximum grid levels, daily profit target, and ATR length.
RSI Calculation:
The RSI is calculated for the current timeframe and the two higher timeframes using ta.rsi().
Grid System:
The grid system uses the ATR to determine the spacing between grid levels (grid_space).
When the price moves in the desired direction, the strategy adds positions at intervals of grid_space, increasing the lot size by a multiplier (lot_multiplier) for each new grid level.
Entry Conditions:
A buy signal is generated when the RSI is below the oversold level on all three timeframes.
A sell signal is generated when the RSI is above the overbought level on all three timeframes.
Position Management:
The strategy scales into positions using the grid system.
It closes all positions if the daily profit target is reached or if a reverse signal is detected.
Visualization:
Buy and sell signals are plotted as arrows on the chart.
RSI values for all timeframes are plotted, along with overbought and oversold levels.
Example Scenario
Suppose the current RSI is below 30 (oversold), and the RSI on the 60-minute and 240-minute charts is also below 30. This triggers a buy signal.
The strategy enters a long position with a base lot size.
If the price moves against the position by grid_space, the strategy adds another long position with a larger lot size (scaled by lot_multiplier).
This process continues until the maximum grid level (max_grid) is reached or the daily profit target is achieved.
Key Variables
grid_level: Tracks the current grid level (number of positions added).
last_entry_price: Tracks the price of the last entry.
base_size: The base lot size for the initial position.
daily_profit_target: The daily profit target in percentage terms.
target_reached: A flag to indicate whether the daily profit target has been achieved.
Potential Use Cases
This strategy is suitable for traders who want to combine RSI-based signals with a grid trading approach to capitalize on mean-reverting price movements.
It can be used in trending or ranging markets, depending on the RSI settings and grid parameters.
Limitations
The grid trading system can lead to significant drawdowns if the market moves strongly against the initial position.
The strategy relies heavily on RSI, which may produce false signals in strongly trending markets.
The daily profit target may limit potential gains in highly volatile markets.
Customization
You can adjust the input parameters (e.g., RSI length, overbought/oversold levels, grid spacing, lot multiplier) to suit your trading style and market conditions.
You can also modify the drawdown protection threshold or add additional filters (e.g., volume, moving averages) to improve the strategy's performance.
In summary, this script is a sophisticated trading strategy that combines RSI-based signals with a grid trading system to manage entries, exits, and position sizing. It includes features like daily profit targets, drawdown protection, and multi-timeframe analysis to enhance its robustnes
MA Crossover with Demand/Supply Zones + Stop Loss/Take ProfitStop Loss and Take Profit Inputs:
Added stopLossPerc and takeProfitPerc as inputs to allow the user to define the stop loss and take profit levels as a percentage of the entry price.
Stop Loss and Take Profit Calculation:
For long positions, the stop loss is calculated as strategy.position_avg_price * (1 - stopLossPerc), and the take profit is calculated as strategy.position_avg_price * (1 + takeProfitPerc).
For short positions, the stop loss is calculated as strategy.position_avg_price * (1 + stopLossPerc), and the take profit is calculated as strategy.position_avg_price * (1 - takeProfitPerc).
Exit Strategy:
Added strategy.exit to define the stop loss and take profit levels for each trade. The from_entry parameter ensures that the exit is tied to the specific entry order.
Flexibility:
The stop loss and take profit levels are dynamic and adjust based on the entry price of the trade.
How It Works:
When a buy signal is generated (MA crossover near a demand zone), the strategy enters a long position and sets a stop loss and take profit level based on the input percentages.
When a sell signal is generated (MA crossunder near a supply zone), the strategy enters a short position and sets a stop loss and take profit level based on the input percentages.
The trade will exit automatically if either the stop loss or take profit level is hit.
Example:
If the entry price for a long position is $100, and the stop loss is set to 1% while the take profit is set to 2%:
Stop loss level =
100
∗
(
1
−
0.01
)
=
100∗(1−0.01)=99
Take profit level =
100
∗
(
1
+
0.02
)
=
100∗(1+0.02)=102
Notes:
You can adjust the stopLossPerc and takeProfitPerc inputs to suit your risk management preferences.
Always backtest the strategy to ensure the stop loss and take profit levels are appropriate for your trading instrument and timeframe.
[COG]MTF RZP Heatmap MTF RZP Heatmap (Range Zone Pulse)
What It Does
This indicator creates three visual heatmaps that show how current price movement compares to the average range of different timeframes. It helps traders:
Identify when price moves are overextended
Compare momentum across different timeframes
Spot potential reversal points
Understand the relative strength of price movements
How It Works
Range Calculation:
For each selected timeframe, it calculates an average range based on the specified number of periods
The range is measured from high to low for each period
A moving average of these ranges creates a dynamic "normal" range for that timeframe
Position Calculation:
Measures how far price has moved from the period's opening price
Compares this movement to the average range
Converts the movement into a percentage (-100% to +100%)
Visual Display:
Shows three vertical heatmaps, one for each timeframe
Colors graduate from bearish (typically red) to bullish (typically green)
A dot indicator shows the current position within each range
Percentage labels show exact movement relative to average range
Trading Applications
Trend Trading:
Multiple timeframes aligned in the same color suggest strong trend
Use larger timeframes (Daily/Weekly) for trend direction
Use smaller timeframes (4H/1H) for entry timing
Mean Reversion:
Extreme readings (near +100% or -100%) suggest overextended moves
Look for divergences between timeframes
Use when shorter timeframes show extremes but larger timeframes don't
Volatility Trading:
Compare current moves to average ranges
Identify when markets are more volatile than usual
Adjust position sizes based on range expansion/contraction
Multi-Timeframe Analysis:
Compare price action across different time horizons
Identify conflicting signals between timeframes
Use for timeframe alignment in trading decisions
Best Practices for Usage
Timeframe Selection:
Set the first timeframe to your trading timeframe
Set the second timeframe to your trend timeframe
Set the third timeframe to your entry timeframe
Range Period Settings:
Default is 5 periods
Increase for more stable readings
Decrease for more responsive readings
Color Interpretation:
Darker colors indicate stronger moves
Look for alignment across timeframes
Watch for extremes in any timeframe
Trading Setups:
Wait for alignment in multiple timeframes
Use extreme readings for counter-trend trades
Combine with other indicators for confirmation
Star Pattern IdentifierThe Star Pattern Identifier is a custom TradingView indicator designed to detect and mark Morning Star (MS) and Evening Star (ES) candlestick patterns, which are powerful reversal signals. This indicator offers a flexible and customizable approach by incorporating adjustable parameters for both the size and volume of the third candle in the pattern.
Key Features:
Morning Star (MS) : A bullish reversal pattern that occurs after a downtrend.
Evening Star (ES) : A bearish reversal pattern that occurs after an uptrend.
Adjustable Parameters:
Third Candle Size Multiplier : Define how large the body of the third candle should be relative to the second candle (default is 2x).
Third Candle Volume Multiplier : Control the minimum volume of the third candle in relation to the second candle (default is 0.5x).
The script ensures that the third candle’s volume is at least 50% of the second candle's volume and that its body is at least twice the size of the second candle, to filter out weaker signals.
The patterns are marked directly on the chart with "MS" (Morning Star) or "ES" (Evening Star) labels for easy identification.
Practical Use:
Use this indicator to spot potential trend reversals with more confidence by ensuring strong candlestick body and volume conditions.
Customize the parameters to suit your trading strategy and preferences.
How it Works:
The indicator looks for a bearish first candle , followed by a bullish or indecisive second candle , and a bullish third candle for the Morning Star pattern.
For the Evening Star, the indicator looks for a bullish first candle , followed by a bearish or indecisive second candle , and a bearish third candle .
The size and volume of the third candle are checked to ensure it meets the set parameters, confirming the strength of the reversal signal.
This tool is perfect for traders seeking to spot reversal signals in the market.
9-20 EMA Crossover with TP and SL9-20 EMA Crossover: This script tracks the crossover of the 9-period EMA and the 20-period EMA.
When the 9 EMA crosses above the 20 EMA, a buy signal is triggered.
When the 9 EMA crosses below the 20 EMA, a sell signal is triggered.
Take Profit and Stop Loss Levels:
The take profit for a long position is set at 3% above the entry price (close * 1.03).
The stop loss for a long position is set at 1% below the entry price (close * 0.99).
The take profit for a short position is set at 3% below the entry price (close * 0.97).
The stop loss for a short position is set at 1% above the entry price (close * 1.01).
Leverage: The strategy uses 20x leverage for both long and short positions (leverage=20).
Alerts: Alerts are set up for the buy signal when the 9 EMA crosses above the 20 EMA and the sell signal when the 9 EMA crosses below the 20 EMA. These alerts can be used with a webhook to trigger trades on Binance Futures.
Strategy:
For long trades: The strategy enters a long position and sets a take profit at 3% above the entry price and a stop loss at 1% below the entry price.
For short trades: The strategy enters a short position and sets a take profit at 3% below the entry price and a stop loss at 1% above the entry price.
Market Sessions and OverlapsMarket Sessions and Overlaps Indicator
This script, titled " Market Sessions and Overlaps ," provides a detailed visualization of major global trading sessions—Asia, Europe, and New York—along with the periods where these sessions overlap. It is designed to assist traders in understanding session timings and overlaps in their local time zone. Key features include:
Session Visualization: Highlights the Asia, Europe, and New York trading sessions directly on the chart with customizable colors and transparency for better clarity.
Overlap Identification: Marks the overlapping periods between Asia-Europe and Europe-New York sessions, where market activity often intensifies, with distinct candle colors.
Time Zone Support: The script allows users to select their local time zone, ensuring all session times are displayed accurately, no matter the user’s location.
Alerts for Key Events: Includes optional alerts to notify users of session openings, closings, and the start or end of overlap periods.
This indicator serves as a visual tool for tracking session-specific activity and liquidity. It is configurable to match individual preferences, enabling better alignment with trading strategies.
Disclaimer: This script is for informational purposes only and does not provide financial advice. Please consult a licensed financial advisor for personalized trading guidance.
Price Action + Support/Resistance with LabelsEntry Conditions:
Long Entry (BUY): Based on the bullish engulfing pattern and price being above the resistance level.
Short Entry (SELL): For demonstration, the short entry condition is set as price being below the support level and a bullish candle in the previous bar. You can modify this logic for your own use case.
Stop Loss and Take Profit:
Stoploss is plotted at the calculated stop loss level.
Target is plotted at the calculated take profit level.
Labels:
For long trades, labels are added with "BUY", "STOPLOSS", and "TARGET".
For short trades (if enabled), labels are added with "SELL", "STOPLOSS", and "TARGET".
Labels are placed using label.new at specific locations on the chart (above or below bars).
Alert Conditions:
Alerts are created for both long and short entry signals so you can get notified when the entry conditions are met.
How it works:
BUY label will appear below the bar when a long entry condition is met.
SELL label will appear above the bar when a short entry condition is met.
STOPLOSS and TARGET labels will appear at their respective levels when an entry signal is triggered.
The labels will appear on the chart to give you a clear visual cue of the entry, stop loss, and take profit levels.
How to Use:
Copy the script into your Pine Editor on TradingView and apply it to your chart.
Observe the labels that show up on the chart:
"BUY" will appear below the bar when long conditions are met.
"SELL" will appear above the bar when short conditions are met (if using short logic).
"STOPLOSS" will be plotted at the stop loss level.
"TARGET" will be plotted at the take profit level.
Optional Customization:
You can modify the short entry condition based on your preferred method.
You can adjust the length for the support/resistance calculation, the stopLossRR, and other parameters to fine-tune the strategy for Nifty 50 or any other asset.
Let me know if you have any further questions or need additional modifications!
New intraday high with weak barStrategy Logic:
The strategy checks if the current bar’s high is the highest high of the last 10 bar and if internal bar strength is less than 0.15.
Position is closed when close is greater than the previous bar’s high.
When a position is open, the script applies a light green background on the chart to signal that you are in a trade.
2022 Model ICT Entry Strategy [TradingFinder] One Setup For Life🔵 Introduction
The ICT 2022 model, introduced by Michael Huddleston, is an advanced trading strategy rooted in liquidity and price imbalance, where time and price serve as the core elements. This ICT 2022 trading strategy is an algorithmic approach designed to analyze liquidity and imbalances in the market. It incorporates concepts such as Fair Value Gap (FVG), Liquidity Sweep, and Market Structure Shift (MSS) to help traders identify liquidity movements and structural changes in the market, enabling them to determine optimal entry and exit points for their trades.
This Full ICT Day Trading Model empowers traders to pinpoint the Previous Day High/Low as well as the highs and lows of critical sessions like the London and New York sessions. These levels act as Liquidity Zones, which are frequently swept prior to a market structure shift (MSS) or a retracement to areas such as Optimal Trade Entry (OTE).
Bullish :
Bearish :
🔵 How to Use
The ICT 2022 model is a sophisticated trading strategy that focuses on identifying key liquidity levels and price movements. It operates based on two main principles. In the first phase, the price approaches liquidity zones and sweeps critical levels such as the previous day’s high or low and key session levels.
This movement is known as a Liquidity Sweep. In the second phase, following the sweep, the price retraces to areas like the FVG (Fair Value Gap), creating ideal entry points for trades. Below is a detailed explanation of how to apply this strategy in bullish and bearish setups.
🟣 Bullish ICT 2022 Model Setup
To use the ICT 2022 model in a bullish setup, start by identifying the Previous Day High/Low or key session levels, such as those of the London or New York sessions. In a bullish setup, the price usually moves downward first, sweeping the Liquidity Low. This move, known as a Liquidity Sweep, reflects the collection of buy orders by major market participants.
After the liquidity sweep, the price should shift market structure and start moving upward; this shift, referred to as Market Structure Shift (MSS), signals the beginning of an upward trend. Following MSS, areas like FVG, located within the Discount Zone, are identified. At this stage, the trader waits for the price to retrace to these zones. Once the price returns, a long trade is executed.
Finally, the stop-loss should be set below the liquidity low to manage risk, while the take-profit target is usually placed above the previous day’s high or other identified liquidity levels. This structure enables traders to take advantage of the upward price movement after the liquidity sweep.
🟣 Bearish ICT 2022 Model Setup
To identify a bearish setup in the ICT 2022 model, begin by marking the Previous Day High/Low or key session levels, such as the London or New York sessions. In this scenario, the price typically moves upward first, sweeping the Liquidity High. This move, known as a Liquidity Sweep, signifies the collection of sell orders by key market players.
After the liquidity sweep, the price should shift market structure downward. This movement, called the Market Structure Shift (MSS), indicates the start of a downtrend. Following MSS, areas such as FVG, found within the Premium Zone, are identified. At this stage, the trader waits for the price to retrace to these areas. Once the price revisits these zones, a short trade is executed.
In this setup, the stop-loss should be placed above the liquidity high to control risk, while the take-profit target is typically set below the previous day’s low or another defined liquidity level. This approach allows traders to capitalize on the downward price movement following the liquidity sweep.
🔵 Settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
FVG Length : Default is 120 Bar.
MSS Length : Default is 80 Bar.
FVG Filter : This refines the number of identified FVG areas based on a specified algorithm to focus on higher quality signals and reduce noise.
Types of FVG filters :
Very Aggressive Filter: Adds a condition where, for an upward FVG, the last candle's highest price must exceed the middle candle's highest price, and for a downward FVG, the last candle's lowest price must be lower than the middle candle's lowest price. This minimally filters out FVGs.
Aggressive Filter: Builds on the Very Aggressive mode by ensuring the middle candle is not too small, filtering out more FVGs.
Defensive Filter: Adds criteria regarding the size and structure of the middle candle, requiring it to have a substantial body and specific polarity conditions, filtering out a significant number of FVGs.
Very Defensive Filter: Further refines filtering by ensuring the first and third candles are not small-bodied doji candles, retaining only the highest quality signals.
🔵 Conclusion
The ICT 2022 model is a comprehensive and advanced trading strategy designed around key concepts such as liquidity, price imbalance, and market structure shifts (MSS). By focusing on the sweep of critical levels such as the previous day’s high/low and important trading sessions like London and New York, this strategy enables traders to predict market movements with greater precision.
The use of tools like FVG in this model helps traders fine-tune their entry and exit points and take advantage of bullish and bearish trends after liquidity sweeps. Moreover, combining this strategy with precise timing during key trading sessions allows traders to minimize risk and maximize returns.
In conclusion, the ICT 2022 model emphasizes the importance of time and liquidity, making it a powerful tool for both professional and novice traders. By applying the principles of this model, you can make more informed trading decisions and seize opportunities in financial markets more effectively.
VWMA with Buy/Sell Signalshe VWMA (Volume Weighted Moving Average) is a technical indicator that averages prices over a specified period while giving more weight to periods with higher trading volumes. This makes the VWMA more sensitive to price movements during high-volume trading compared to a simple moving average (SMA).
Adding Buy/Sell Signals to a VWMA-based script involves identifying trends or crossover points that indicate potential entry (Buy) or exit (Sell) opportunities.
Core Features of the Script:
VWMA Calculation:
Uses the typical price ((High + Low + Close) / 3) or closing price for computation.
Weighting is based on the volume traded in each period.
Engulfing and ATR-Imbalance [odnac]This Pine Script indicator combines two powerful concepts—Engulfing Candlestick Patterns and ATR Imbalance—to identify potential market reversal points with increased precision.
Engulfing Candlestick Patterns:
Bullish Engulfing: Identified when a candle closes higher than it opens, and it completely engulfs the previous candle (previous close is lower than the current open, and previous high is lower than the current close).
Bearish Engulfing: Identified when a candle closes lower than it opens, and it completely engulfs the previous candle (previous close is higher than the current open, and previous low is higher than the current close).
Bar Coloring: These patterns are highlighted with a customizable color (light gray by default) to make them easily identifiable.
ATR-Based Imbalance:
The Average True Range (ATR) is used to measure market volatility, and this script checks if the current candle’s range (difference between high and low) exceeds a defined multiple of the ATR, indicating a possible imbalance.
Imbalance Detection: If the current candle’s range is greater than ATR * imbalance multiplier (default multiplier: 1.5), it is marked as an ATR imbalance.
Bar Coloring: Candles with a significant imbalance (greater range than the ATR-based threshold) are highlighted in yellow, indicating an outlier or extreme price movement.
Engulfing + ATR Imbalance:
When both a Bullish Engulfing pattern and an ATR Imbalance are detected, a green triangle up is plotted below the bar, signaling a potential bullish reversal.
Conversely, when both a Bearish Engulfing pattern and an ATR Imbalance occur, a red triangle down is plotted above the bar, signaling a potential bearish reversal.
User Inputs:
Engulfing Plot: Enable or disable the plotting of Engulfing Candles.
ATR Length: Set the period used to calculate the ATR (default is 5).
Imbalance Multiplier: Adjust the multiplier to define the threshold for ATR imbalance detection (default is 1.5).
Bar Colors: Customizable color for both Engulfing candles and Imbalance candles.
Engulfing & Imbalance Plot: Enable or disable plotting of the combined conditions (Engulfing + ATR Imbalance) with arrows.
How This Indicator Helps:
By combining price action patterns with volatility analysis, this indicator highlights high-probability reversal points where significant price movement (imbalance) coincides with a clear Engulfing pattern. Traders can use these signals to time entries or exits based on both price action and market volatility.
Malaysian SnR [by DanielM]The Malaysian SnR (Support and Resistance) levels are a popular trading concept that identifies specific price levels on charts which are considered significant for trading decisions. Here's a breakdown of the concepts:
A Levels and V Levels: These refer to specific types of SNR levels:
A Levels: These are formed at the highest points of price movements. The indicator highlights these levels with a red line.
V Levels: These are formed at the lowest points of price movements, typically observed as valleys in chart patterns. The indicator highlights these levels with a green line.
Fresh and Unfresh Levels:
Fresh Levels: These are price levels that have not been touched by a wick since their formation. They are considered more significant because they might provide a stronger reaction when the price touches these levels again.
Unfresh Levels: These are levels that have been touched by a wick since their formation. Each time a level is tested, it is considered less significant because it might offer weaker resistance or support. A level that has been tested can become fresh again if it's crossed by a candle body.
Gaps:
A gap occurs when you have two bullish candles or two bearish candles. It is defined as the area between the close of the first candle and the open of the next one. It is marked by drawing a line at the closing price of the first candle, thus representing the level where the gap was initially observed. The indicator highlights these levels with a blue lines for bullish gaps and violet lines for bearish gaps.
Fresh vs. Unfresh Gaps:
Similar to A and V levels, gaps can be classified as fresh or unfresh. A fresh gap is one that hasn't been touched by a wick after it was created. These are often considered more significant because they may hold stronger as potential support or resistance. Unfresh gaps have been touched by a wick, and they may be considered less significant. A gap that has been tested can become fresh again if it's crossed by a candle body.
Inputs:
Number of bars to look back to detect A levels, V levels, and Gaps.
Allows users to toggle the visibility of only fresh A and V levels.
Allows users to decide whether to display gap levels or not.
Allows users to decide whether to display only fresh gaps.
Allows the users to set the maximum number of A levels, V levels and gaps on the chart.
Auto Wyckoff Schematic [by DanielM]This indicator is designed to automatically detect essential components of Wyckoff schematics. This tool aims to capture the critical phases of liquidity transfer from weak to strong hands, occurring before a trend reversal. While the Wyckoff method is a comprehensive and a very nuanced approach, every Wyckoff schematic is unique, making it impractical to implement all its components without undermining the detection of the pattern. Consequently, this script focuses on the essential elements critical to identifying these schematics effectively.
Key Features:
Swing Detection Sensitivity:
The sensitivity of swing detection is adjustable through the input parameter. This parameter controls the number of past bars analyzed to determine swing highs and lows, allowing users to fine-tune detection based on market volatility and timeframes.
Pattern Detection Logic:
Accumulation Schematic:
Detects consecutive lower swing lows, representing phases like Selling Climax (SC) and Spring, which often precede a trend reversal upward. After the final low is identified, a higher high is detected to confirm the upward trend initiation.
Labeled Key Points:
SC: Selling Climax, marking the beginning of the accumulation zone.
ST: Secondary Test during the schematic.
ST(b): Secondary Test in phase B.
Spring: The lowest point in the schematic, signaling a final liquidity grab.
SOS: Sign of Strength, confirming a bullish breakout.
The schematic is outlined visually with a rectangle to highlight the price range.
Distribution Schematic:
Detects consecutive higher swing highs, which indicate phases such as Buying Climax (BC) and UTAD, often leading to a bearish reversal. After the final high, a lower low is detected to confirm the downward trend initiation.
Labeled Key Points:
BC: Buying Climax, marking the beginning of the distribution zone.
ST: Secondary Test during the schematic.
UT: Upthrust.
UTAD: Upthrust After Distribution, signaling the final upward liquidity grab before a bearish trend.
SOW: Sign of Weakness, confirming a bearish breakout.
The schematic is visually outlined with a rectangle to highlight the price range.
Notes:
Simplification for Practicality: Due to the inherent complexity and variability of Wyckoff schematics, the indicator focuses only on the most essential features—liquidity transfer and key reversal signals.
Limitations: The tool does not account for all components of Wyckoff's method (e.g., minor phases or nuanced volume analysis) to maintain clarity and usability.
Unique Behavior: Every Wyckoff schematic is different, and this tool is designed to provide a simplified, generalized approach to detecting these unique patterns.
