SMB MagicSMB Magic
Overview: SMB Magic is a powerful technical strategy designed to capture breakout opportunities based on price movements, volume spikes, and trend-following logic. This strategy works exclusively on the XAU/USD symbol and is optimized for the 15-minute time frame. By incorporating multiple factors, this strategy identifies high-probability trades with a focus on risk management.
Key Features:
Breakout Confirmation:
This strategy looks for price breakouts above the previous high or below the previous low, with a significant volume increase. A breakout is considered valid when it is supported by strong volume, confirming the strength of the price move.
Price Movement Filter:
The strategy ensures that only significant price movements are considered for trades, helping to avoid low-volatility noise. This filter targets larger price swings to maximize potential profits.
Exponential Moving Average (EMA):
A long-term trend filter is applied to ensure that buy trades occur only when the price is above the moving average, and sell trades only when the price is below it.
Fibonacci Levels:
Custom Fibonacci retracement levels are drawn based on recent price action. These levels act as dynamic support and resistance zones and help determine the exit points for trades.
Take Profit/Stop Loss:
The strategy incorporates predefined take profit and stop loss levels, designed to manage risk effectively. These levels are automatically applied to trades and are adjusted based on the market's volatility.
Volume Confirmation:
A volume multiplier confirms the strength of the breakout. A trade is only considered when the volume exceeds a certain threshold, ensuring that the breakout is supported by sufficient market participation.
How It Works:
Entry Signals:
Buy Signal: A breakout above the previous high, accompanied by significant volume and price movement, occurs when the price is above the trend-following filter (e.g., EMA).
Sell Signal: A breakout below the previous low, accompanied by significant volume and price movement, occurs when the price is below the trend-following filter.
Exit Strategy:
Each position (long or short) has predefined take-profit and stop-loss levels, which are designed to protect capital and lock in profits at key points in the market.
Fibonacci Levels:
Fibonacci levels are drawn to identify potential areas of support or resistance, which can be used to guide exits and stop-loss placements.
Important Notes:
Timeframe Restriction: This strategy is designed specifically for the 15-minute time frame.
Symbol Restriction: The strategy works exclusively on the XAU/USD (Gold) symbol and is not recommended for use with other instruments.
Best Performance in Trending Markets: It works best in trending conditions where breakouts occur frequently.
Disclaimer:
Risk Warning: Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and make informed decisions before trading.
Indicadores y estrategias
Masoud -Fractal 4/1 Long/Short Strategyhi. this is fractal strategy. in green zone only buy and in red zone only sell
lets work - RSI Band Strategy//@version=5
strategy("Demo GPT - RSI Band Strategy", overlay=true, commission_type=strategy.commission.percent, commission_value=0.1, slippage=3)
// Inputs
length = input.int(14, title="RSI Length")
overSold = input.float(30, title="Lower Band (Buy)")
overBought = input.float(70, title="Upper Band (Sell)")
// Date filters
startDate = input.time(timestamp("2018-01-01 00:00"), title="Start Date", group="Date Filters")
endDate = input.time(timestamp("2069-12-31 23:59"), title="End Date", group="Date Filters")
// RSI Calculation
price = close
vrsi = ta.rsi(price, length)
// Timeframe filter
inDateRange = (time >= startDate and time <= endDate)
// Conditions
buyCondition = ta.crossover(vrsi, overSold) and inDateRange
sellCondition = ta.crossunder(vrsi, overBought) and inDateRange
// Entry and exit logic
if buyCondition
strategy.entry("Buy", strategy.long)
if sellCondition
strategy.close("Buy")
// Plot RSI for visual reference
plot(vrsi, title="RSI", color=color.blue)
hline(overSold, "Lower Band (Buy)", color=color.green)
hline(overBought, "Upper Band (Sell)", color=color.red)
bgcolor(inDateRange ? na : color.new(color.gray, 90), title="Out of Date Range")
Supertrend + EMA Crossover Alerts-Based StrategyST + ema crossover strategy to give buy and sell signals
arashtrexIndicator Explanation: Length Candle Daily or Any Timeframe
This Pine Script indicator for TradingView provides several features to help analyze market trends and price movements:
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1. Pivot Points
The indicator uses Pivot High and Pivot Low functions to display pivot points on the chart.
Pivot High: Identifies local highs.
Pivot Low: Identifies local lows.
These points are marked with small triangles above or below the candles.
The range of pivot detection can be adjusted using the Length Left and Length Right inputs.
---
2. Price Analysis on Custom Timeframes
The indicator allows you to analyze Open, Close, High, and Low prices from a custom timeframe:
The default timeframe is "D" (daily), but it can be changed to any desired timeframe.
Price data is extracted using the request.security function.
---
3. Candle Coloring Based on Price Movement
The candles are color-coded to indicate price movement:
Green: If the closing price (Close) is higher than the opening price (Open).
Red: If the closing price is lower than the opening price.
The indicator uses step lines to represent the opening and closing prices, with a filled area between them for better visualization.
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4. Simple Moving Averages (SMA)
Three Simple Moving Averages (SMA) are plotted on the chart:
Each SMA has a configurable length:
SMA 1: Default length is 20.
SMA 2: Default length is 100.
SMA 3: Default length is 50.
These lines help identify overall market trends and potential support/resistance levels.
---
5. Key Features:
Pivot Points: Useful for identifying potential trend reversals.
Custom Timeframe Price Analysis: Enables more precise analysis for different timeframes.
Candle Coloring: Makes it easier to spot bullish or bearish movements.
Moving Averages: A widely-used tool for assessing market trends.
---
Use Cases:
1. Identifying Trends and Reversals:
Use pivot points and moving averages to pinpoint potential entry and exit points.
2. Analyzing Custom Timeframes:
If you want to analyze data from a higher timeframe (e.g., daily or weekly) while on a lower timeframe, this indicator facilitates that.
3. Spotting Key Support and Resistance Levels:
SMA lines and pivot points can help identify crucial market levels.
---
How to Use:
1. Add the indicator to your chart.
2. Adjust the input settings (e.g., timeframe, pivot lengths, SMA lengths) as needed.
3. Observe the pivot points, candle colors, and SMA lines to make informed trading decisions.
Feel free to ask for further clarification or modifications!
Stochastic Cross Strategy//@version=5
// Stochastic Cross Strategy - Buy on K crossing above D, Sell on D crossing above K
strategy("Stochastic Cross Strategy", overlay=false, default_qty_type=strategy.percent_of_equity, default_qty_value=100)
// Inputs for Stochastic
len = input.int(14, minval=1, title="Stochastic Length")
smoothK = input.int(3, minval=1, title="Smooth K")
smoothD = input.int(3, minval=1, title="Smooth D")
// Take-Profit and Stop-Loss Ratios
tp_ratio = input.float(1.5, title="Take Profit / Stop Loss Ratio", step=0.1)
sl_pct = input.float(1, title="Stop Loss %", step=0.1) / 100
tp_pct = sl_pct * tp_ratio
// Stochastic Calculations
k = ta.sma(ta.stoch(close, high, low, len), smoothK)
d = ta.sma(k, smoothD)
// Cross Conditions
longCondition = ta.crossover(k, d) // Buy when %K crosses above %D
shortCondition = ta.crossunder(k, d) // Sell when %D crosses above %K
// Execute Buy or Sell Orders
if (longCondition)
strategy.entry("Long", strategy.long, stop=low * (1 - sl_pct), limit=high * (1 + tp_pct))
if (shortCondition)
strategy.entry("Short", strategy.short, stop=high * (1 + sl_pct), limit=low * (1 - tp_pct))
// Plots for Stochastic
plot(k, title="Stoch %K", style=plot.style_line, linewidth=2, color=color.green)
plot(d, title="Stoch %D", style=plot.style_line, linewidth=2, color=color.red)
NYSE opening candle breakouttrying to improve it,
this is the strategy THAT GIVES BUY OR SELL SIGNAL WHEN the market is open, it is easy 1 :2 RR trade, just connect it with your account and dont ever miss your entry on NYSE opening
Scalping Strategy with UT Bot Alert - NQ 3 MinThis scalping strategy is built around the UT Bot Alert, which is a trend-following trading system designed to generate buy and sell signals based on price action relative to smoothed upper and lower levels.
ZigZag strategy💸This ZigZag strategy uses price deviations to identify potential trend reversals, visualizes these movements with connected lines, and enters trades based on these identified trends.
How It Works
The script continuously monitors price movement, updating peak and trough values accordingly.
When the price deviates significantly from the current peak or trough (based on the input deviation), it identifies a potential reversal point.
Upon identifying a reversal, it draws a line connecting the previous peak/trough to the current price, visually representing the ZigZag pattern.
Simultaneously, it enters a trade in the direction of the newly identified trend.
This process repeats, creating a series of connected lines that form the ZigZag pattern on the chart.
The strategy aims to capture significant price movements by entering trades at potential turning points in the market.
NQ Entry and Exit StrategyThis strategy is designed for trading NASDAQ futures (NQ) using a combination of trend-following and momentum indicators. It identifies entry points during a pullback in an uptrend and exits when the price surpasses the entry level.
ZigZag strategy💸This strategy uses price deviations to identify potential trend reversals, visualizes these movements with connected lines, and enters trades based on these identified trends.
How It Works
The script continuously monitors price movement, updating peak and trough values accordingly.
When the price deviates significantly from the current peak or trough (based on the input deviation), it identifies a potential reversal point.
Upon identifying a reversal, it draws a line connecting the previous peak/trough to the current price, visually representing the ZigZag pattern.
Simultaneously, it enters a trade in the direction of the newly identified trend.
This process repeats, creating a series of connected lines that form the ZigZag pattern on the chart.
The strategy aims to capture significant price movements by entering trades at potential turning points in the market.
STRATEGY Fibonacci Levels with High/Low Criteria - AYNET
Here is an explanation of the Fibonacci Levels Strategy with High/Low Criteria script:
Overview
This strategy combines Fibonacci retracement levels with high/low criteria to generate buy and sell signals based on price crossing specific thresholds. It utilizes higher timeframe (HTF) candlesticks and user-defined lookback periods for high/low levels.
Key Features
Higher Timeframe Integration:
The script calculates the open, high, low, and close values of the higher timeframe (HTF) candlestick.
Users can choose to calculate levels based on the current or the last HTF candle.
Fibonacci Levels:
Fibonacci retracement levels are dynamically calculated based on the HTF candlestick's range (high - low).
Users can customize the levels (0.000, 0.236, 0.382, 0.500, 0.618, 0.786, 1.000).
High/Low Lookback Criteria:
The script evaluates the highest high and lowest low over user-defined lookback periods.
These levels are plotted on the chart for visual reference.
Trade Signals:
Long Signal: Triggered when the close price crosses above both:
The lowest price criteria (lookback period).
The Fibonacci level 3 (default: 0.5).
Short Signal: Triggered when the close price crosses below both:
The highest price criteria (lookback period).
The Fibonacci level 3 (default: 0.5).
Visualization:
Plots Fibonacci levels and high/low criteria on the chart for easy interpretation.
Inputs
Higher Timeframe:
Users can select the timeframe (default: Daily) for the HTF candlestick.
Option to calculate based on the current or last HTF candle.
Lookback Periods:
lowestLookback: Number of bars for the lowest low calculation (default: 20).
highestLookback: Number of bars for the highest high calculation (default: 10).
Fibonacci Levels:
Fully customizable Fibonacci levels ranging from 0.000 to 1.000.
Visualization
Fibonacci Levels:
Plots six customizable Fibonacci levels with distinct colors and transparency.
High/Low Criteria:
Plots the highest and lowest levels based on the lookback periods as reference lines.
Trading Logic
Long Condition:
Price must close above:
The lowest price criteria (lowcriteria).
The Fibonacci level 3 (50% retracement).
Short Condition:
Price must close below:
The highest price criteria (highcriteria).
The Fibonacci level 3 (50% retracement).
Use Case
Trend Reversal Strategy:
Combines Fibonacci retracement with recent high/low criteria to identify potential reversal or breakout points.
Custom Timeframe Analysis:
Incorporates higher timeframe data for multi-timeframe trading strategies.
jbx Strategy 5min BollingerBandPurpose and Unique Features:
This script is designed to implement a trend-following automated trading strategy by combining trendlines, supertrends and Bollinger Bands.
The following key aspects are highlighted:
supertrend :
It basically follows the long and short trends of the supertrend line.
Bollinger Band :
When the Bollinger Band breaks strongly upward or downward, the entry decision is made by referring to the trading volume. Additionally, the first profit margin price is calculated based on Bollinger Bands.
trendline :
The trend line drawn with reference to 72 candles first checks whether the closing price breaks the line at the pivot creation point.
The trend line drawn after checking modifies the primary target price.
At this time, trailing stop is activated.
And by tracking previous highs and lows, the primary target is reflected in the correction.
Inputs :
VL : Multiply Volume | Long
VS : Multiply Volume | Short
To filter out false signals when the Bollinger Band breaks, you can refer to trading volume and adjust how much weight to give.
BL : Stop trading when it rise 5%
BS : Stop trading when it falls 4%
A sharp rise or plunge is followed by a correction or sideways movement. After it fluctuates by a few percent, you can stop trading for a while.
PL : Pivot Range
Golden Cross/Death Cross Buy/Sell Signals-Strategy with SL-TPGolden Cross/Death Cross Buy/Sell Signals Strategy Overview
This Golden Cross/Death Cross Strategy is designed to identify potential market reversals using the 50-period EMA and the 200-period EMA, two widely recognized moving averages.
Golden Cross: A BUY signal is generated when the 50-period EMA crosses above the 200-period EMA, indicating a potential bullish trend.
Death Cross: A SELL signal is triggered when the 50-period EMA crosses below the 200-period EMA, suggesting a possible bearish trend.
Customizable Parameters
While the default settings use the standard 50-period EMA and 200-period EMA, traders have the flexibility to adjust these periods. This allows the strategy to be adapted for shorter or longer-term market trends. For example, you can modify the EMA lengths to suit your preferred trading style or market conditions.
Additionally, traders can customize the Stop Loss (SL) and Take Profit (TP) multipliers, which are based on the Average True Range (ATR):
Stop Loss: Dynamically calculated as a multiple of the ATR, starting from the low of the candle (for BUY) or the high of the candle (for SELL).
Take Profit: Also determined using a multiple of the ATR, but measured from the close of the candle.
Flexibility for Strategy Optimization
This strategy is not limited to one setup. By tweaking the EMA periods, ATR-based Stop Loss, and Take Profit multipliers, traders can create different variations, making it possible to:
-Optimize for various market conditions.
-Test different combinations of risk-to-reward ratios.
-Adapt the strategy to different timeframes and trading styles.
Alerts and Notifications
The strategy includes built-in alerts for both Golden Cross and Death Cross events, ensuring traders are notified of potential trade setups in real-time. These alerts can help traders monitor multiple markets without missing critical opportunities.
DeFi Hungary Trend Master [Educational Strategy]The DeFi Hungary Master Trend strategy is an educational script designed to teach and demonstrate the use of advanced trend-following techniques, smoothing algorithms, and risk management tools in trading. This strategy is NOT intended for direct use in live trading but serves as a framework for learning and experimentation. Below are the key components and features of the strategy:
Features:
Backtest Date Range Control:
Enables users to specify a custom date range for backtesting, ensuring flexibility and precision when analyzing historical data.
Source Flexibility:
Allows the user to toggle between raw close prices or Heikin Ashi candle data for smoother trend analysis.
Advanced Trend Detection:
Utilizes a custom smoothing function (smoothrng) and range filters to identify directional trends.
Crossover Signals:
Implements SMMA (Smoothed Moving Average) crossover-based buy and sell conditions for generating trade signals.
Customizable Entry and Exit Rules:
Includes parameters for stop loss and take profit levels for risk management, configurable through user inputs.
Visualization:
Displays critical trend and crossover indicators, including SMMA and range bands, on the chart for better interpretation.
Alerts:
Generates real-time alerts for buy and sell signals to enhance situational awareness during strategy testing.
Parameters:
Date Control: Specify backtesting start and end dates with precision (month, day, and year).
Smoothing Inputs: Adjust sampling periods and range multipliers to fine-tune the trend detection.
Risk Management: Toggle stop loss and take profit levels with user-defined percentages for both long and short positions.
Disclaimer:
This strategy is for educational purposes only. It is intended to help users understand the mechanics of trend detection, smoothing, and risk management in trading strategies. It is not financial advice or a recommendation to trade. Users should carefully backtest and validate any modifications before applying this framework to their trading activities.
10 hours ago
Release Notes
The DeFi Hungary Master Trend strategy is an educational script designed to teach and demonstrate the use of advanced trend-following techniques, smoothing algorithms, and risk management tools in trading. This strategy is NOT intended for direct use in live trading but serves as a framework for learning and experimentation. Below are the key components and features of the strategy:
Features:
Backtest Date Range Control:
Enables users to specify a custom date range for backtesting, ensuring flexibility and precision when analyzing historical data.
Source Flexibility:
Allows the user to toggle between raw close prices or Heikin Ashi candle data for smoother trend analysis.
Advanced Trend Detection:
Utilizes a custom smoothing function (smoothrng) and range filters to identify directional trends.
Crossover Signals:
Implements SMMA (Smoothed Moving Average) crossover-based buy and sell conditions for generating trade signals.
Customizable Entry and Exit Rules:
Includes parameters for stop loss and take profit levels for risk management, configurable through user inputs.
Visualization:
Displays critical trend and crossover indicators, including SMMA and range bands, on the chart for better interpretation.
Alerts:
Generates real-time alerts for buy and sell signals to enhance situational awareness during strategy testing.
Parameters:
Date Control: Specify backtesting start and end dates with precision (month, day, and year).
Smoothing Inputs: Adjust sampling periods and range multipliers to fine-tune the trend detection.
Risk Management: Toggle stop loss and take profit levels with user-defined percentages for both long and short positions.
Disclaimer:
This strategy is for educational purposes only. It is intended to help users understand the mechanics of trend detection, smoothing, and risk management in trading strategies. It is not financial advice or a recommendation to trade. Users should carefully backtest and validate any modifications before applying this framework to their trading activities.
RSI + RSI MA Strategy for XAU/USD by Krylov V3.0RSI + ATR Volatility Filter Strategy
Описание:
Эта стратегия предназначена для торговли на активе XAU/USD (золото) с использованием индикаторов RSI, ATR и скользящих средних. Основное внимание уделяется фильтрации сигналов по тренду и волатильности, чтобы минимизировать ложные входы и повысить точность торговли.
Ключевые характеристики:
Таймфрейм: 5 минут.
Индикаторы:
RSI (Relative Strength Index): используется для выявления перепроданности (уровень 45) и перекупленности (уровень 55), а также для определения моментов пересечения RSI со своей скользящей средней.
ATR (Average True Range): фильтрует сигналы по волатильности, исключая периоды низкой активности.
Фильтр времени:
Сделки открываются только в активное время с 8:00 до 21:00 по Пражскому времени (UTC+2 или UTC+1, в зависимости от времени года).
Правила входа:
Лонг (покупка):
RSI пересекает свою скользящую среднюю снизу вверх ниже уровня 45.
Волатильность (ATR) выше заданного порога (0.5).
Сделка совершается только в указанные торговые часы.
Шорт (продажа):
RSI пересекает свою скользящую среднюю сверху вниз выше уровня 55.
Волатильность (ATR) выше порогового значения.
Сделка также совершается только в торговые часы.
Выход из сделки:
Тейк-профит: 5000 тиков.
Стоп-лосс: 5000 тиков.
Сделки закрываются при достижении тейк-профита, стоп-лосса или по истечении торгового времени.
Уникальность стратегии:
Стратегия сочетает точные сигналы на основе RSI с фильтрацией по волатильности (ATR), чтобы избегать торговли в низковолатильных периодах.
Временные ограничения помогают исключить периоды низкой ликвидности или хаотичного движения рынка.
Результаты тестирования:
Торговля протестирована на таймфрейме 5 минут для XAU/USD.
Средний винрейт: 64.4%.
Фактор прибыли: 1.1.
Рекомендуемый риск на сделку: 1-2% от депозита.
Стратегия подходит для трейдеров, предпочитающих активную торговлю и небольшие временные рамки.
Инструкция:
Установите таймфрейм 5 минут.
Добавьте стратегию на график XAU/USD.
Настройте параметры ATR и уровни RSI при необходимости.
Следуйте сигналам, отображаемым на графике, для совершения сделок.
Optimized BTC Scalping Strategy for Kraken 15minOptimized 15-Min Scalping Strategy for BTC/USDT (Kraken)
Net Profit: 5.55%
Drawdown: 0.94% (low-risk profile)
Profit Factor: 1.194
Designed specifically for Kraken's BTC/USDT pair.
2,561 trades with consistent profitability and low drawdowns.
Price 30$ per month, first month half price.
Disclaimer: Past performance does not guarantee future results.
Bullish Combination Scan - 0.1This Pine Script is designed to identify and signal potential bullish trading opportunities in TradingView charts. It evaluates two distinct conditions based on price and volume thresholds to determine whether a bullish setup exists. Here's an overview of the key functionalities:
Purpose of the Script
Scan for Bullish Patterns: The script identifies two types of bullish setups:
Stocks priced above $100.
Stocks priced between $3 and $99.
Generate Entry Signals: When conditions are met, the script triggers a buy signal and places a long entry order in TradingView's strategy tester.
Core Functionalities
Input Parameters:
User-adjustable parameters like:
Minimum volume threshold (volumeThreshold).
Upper (highPriceThreshold) and lower (lowPriceThreshold) price thresholds.
These allow flexibility to scan for stocks within different volume and price ranges.
Daily and Historical Price Calculations:
Retrieves current and historical values of close, open, high, low, and volume.
Uses ta.valuewhen to reference prior day values for comparison.
Compares price and volume trends over the last three days to detect consistent or improving bullish patterns.
Conditions for Bullish Signals:
Condition 1: For stocks priced above $100:
Large bullish candles (close significantly higher than open).
High volume (above volumeThreshold).
A stronger bullish move compared to the previous day.
Small gains in the last two days' price ratio, ensuring no overextended rally.
At least 70% of the daily range is on the upside.
Condition 2: For stocks priced between $3 and $99:
Recent price increases (day's close is at least 4% higher than the previous close).
Volume higher than the previous day and above the volumeThreshold.
No significant price overextension in the last two days.
Daily range on the upside meets the 70% threshold.
Trigger Buy Signals:
When either condition is true, the script executes a "BullishEntry" long strategy.
This makes the strategy adaptable for both higher-priced and mid-to-low-priced stocks.
Visualization:
Adds markers on the chart to highlight the specific conditions triggering the buy signals.
Green labels for stocks priced above $100.
Blue labels for stocks priced between $3 and $99.
Advantages of the Script
Versatility:
Applicable to a wide range of stocks with varying price points and volume characteristics.
User-adjustable parameters make it adaptable to different market conditions.
Precision:
Filters out low-quality signals by enforcing strict conditions (e.g., volume thresholds, price movement ratios, and daily range filters).
Clear Signal Representation:
Visual buy signals on the chart enhance usability.
Labels provide immediate clarity on which condition was met.
Backtesting-Ready:
Integrated with TradingView's strategy tester to evaluate the effectiveness of the bullish patterns over historical data.
Potential Use Cases
Short-Term Traders: Identify bullish setups for stocks poised for immediate upward movement.
Portfolio Diversification: Adapt thresholds to focus on either high-cap or low-cap stocks.
Backtesting: Analyze the performance of the bullish strategy over historical data to refine parameters for better accuracy.
Suggestions for Publishing
User-Friendly Description:
Provide a clear summary of what the script does.
Include examples of use cases, such as scanning for momentum trades.
Parameter Customization:
Highlight the adjustable inputs to encourage experimentation and personalization.
Suggest optimal values based on different trading styles or markets.
Performance Validation:
Share backtesting results or scenarios where the strategy has shown significant potential.
Attribution:
Encourage users to provide feedback and adapt the script to evolving market conditions.
This script is a powerful tool for traders looking to automate the detection of bullish setups, offering both adaptability and clarity for real-time and historical analysis.
Silver Bullet - Mahdi✨Silver Bullet Strategy: Entry Requirements
📈 Long Position Requirements:
Determine the Market Bias
Confirm a bullish market trend.
Look for buy-side liquidity (e.g., above previous day's/week's highs).
Identify a Fair Value Gap (FVG)
Spot an FVG below the current price.
Ensure the FVG is opposite to the targeted liquidity pool (e.g., below price when targeting buy-side liquidity above).
Observe Displacement
Look for a strong upward move toward the targeted liquidity pool.
Use lower timeframes (1m, 3m, or 5m) for confirmation.
Price Retracement into FVG
Wait for a retracement into the FVG on the higher timeframe.
Confirm upward repricing from the FVG.
Lower Timeframe Confirmation
Switch to 1m or 3m charts after retracement.
Identify a second bullish FVG within the retracement.
Enter long when price starts to move upward from the second FVG.
Target the Liquidity Pool
Hold the position until price taps into the targeted buy-side liquidity.
📉 Short Position Requirements:
Determine the Market Bias
Confirm a bearish market trend.
Look for sell-side liquidity (e.g., below previous day's/week's lows).
Identify a Fair Value Gap (FVG)
Spot an FVG above the current price.
Ensure the FVG is opposite to the targeted liquidity pool (e.g., above price when targeting sell-side liquidity below).
Observe Displacement
Look for a strong downward move toward the targeted liquidity pool.
Use lower timeframes (1m, 3m, or 5m) for confirmation.
Price Retracement into FVG
Wait for a retracement into the FVG on the higher timeframe.
Confirm downward repricing from the FVG.
Lower Timeframe Confirmation
Switch to 1m or 3m charts after retracement.
Identify a second bearish FVG within the retracement.
Enter short when price starts to move downward from the second FVG.
Target the Liquidity Pool
Hold the position until price taps into the targeted sell-side liquidity.
💡 Key Notes:
Liquidity Pool: Target unengaged liquidity (previous highs/lows).
Timing: Focus on setups during the 10 AM – 11 AM EST window.
FVG Confirmation: Utilize both higher and lower timeframe FVGs for precise entries.
Skill Emphasis: Master price action and liquidity concepts over chasing profits.
Basit Al-Sat stratejisi murat meşebasit al sat öğeleri içerir. Nerede alıp nerede satacağınızı öğrenmek için grafiği takip edin
danix_hack_3Danix_Hack – מהפכה בעולם המסחר
“האינדיקטור שמשנה את חוקי המשחק! שנים של מחקר, פיתוח מתקדם, וטכנולוגיה שלא נראתה מעולם – Danix_Hack מביא אליכם את הכלי החדשני שמאפשר לסוחרים מכל הרמות להרוויח כמו המקצוענים, בקלות ובמהירות!”
למה Danix_Hack הוא פריצת דרך?
בינה חכמה: שילוב ייחודי של אלגוריתמים מתקדמים לזיהוי תנועות שוק בזמן אמת.
דיוק חסר תקדים: האינדיקטור יודע לזהות נקודות כניסה ויציאה באופן מושלם.
קל לשימוש: מתאים לכל סוחר – מתחיל או מתקדם – ללא צורך בניסיון קודם.
עובד על כל שוק: מניות, מט”ח, קריפטו ועוד.
Danix_Hack מביא לעולם מסחר פשוט, חכם ורווחי. לא צריך לנחש יותר – פשוט לעקוב ולהרוויח.
כיצד זה עובד?
סימני קנייה ומכירה ברורים: לא עוד ניחושים – Danix_Hack יראה לך בדיוק מתי לקנות ומתי למכור.
מתאים לכל מסגרת זמן: בין אם אתה סוחר יומי, שבועי או מחפש השקעות ארוכות טווח.
עובד עם אסטרטגיות מוכחות: טכנולוגיה ייחודית שמזהה את ההזדמנויות הטובות ביותר בשוק.
