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Fshariar_Enhanced Quasimodo Pattern**Enhanced Quasimodo Pattern Indicator**
The **Enhanced Quasimodo Pattern Indicator** is a powerful technical analysis tool designed for **TradingView** users. This script identifies the **Quasimodo pattern**, a key reversal formation used by professional traders to anticipate market turning points with high accuracy.
### **Features:**
✅ **Quasimodo Pattern Detection**: Automatically spots **bullish and bearish Quasimodo setups** on the chart.
✅ **Multi-Confirmation Signals**: Incorporates **RSI divergence, volume spikes, and trend filters** to enhance reliability.
✅ **Fibonacci-Based Entry & Exit**: Uses **61.8% and 78.6% Fibonacci retracement levels** for optimal trade entries.
✅ **Dynamic Take Profit & Stop Loss Levels**: Plots **161.8% Fibonacci extensions** as TP targets and SL based on the X-point.
✅ **Multi-Timeframe Trend Analysis**: Uses **EMA 50 & EMA 200** to filter trades in line with the prevailing trend.
✅ **Real-Time Alerts**: Get notified instantly when a **buy or sell signal** is detected.
### **How It Works:**
- **Bearish Quasimodo (Sell Signal)**: Triggered when a higher high is followed by a lower low, indicating a reversal.
- **Bullish Quasimodo (Buy Signal)**: Triggered when a lower low is followed by a higher high, signaling a potential uptrend.
- **Confirmation Criteria**: RSI divergence, volume spikes, and EMA-based trend analysis help filter out false signals.
### **Who Can Benefit?**
- **Day Traders & Swing Traders** looking for high-probability reversal setups.
- **Price Action Traders** who rely on **support & resistance** structures.
- **Fibonacci Traders** seeking **retracement & extension-based entries.**
This indicator is fully customizable, allowing traders to adjust **swing length, RSI settings, and Fibonacci levels** to match their trading strategy. 🚀
📌 **Try it on your TradingView chart today and enhance your technical analysis!**
Developed by **FShariar**
200MA x3 Investor Tool with Undervaluation LineThis is the 200 day moving average with a 3x take profit line and a 2x undervalued line. Great for pretty much all volitile assets.
SCAE MJ VolSpikeSignal appendix :
1) B = Buy
2) S = Sell
3) STS = Stanby To Sell
4) STB = Stanby To Buy
5) BPB = Buy on PullBack
Only Buy when Signal B (and BPB) appeared above EMA9 and near/above EMA200 with a spike buy volume (Green Volume).
Only Sell when Signal S (or STS) appeared with a spike sell volume or candlestick closed below EMA9 (somehow Signal S don't appeared when price crossed below EMA9).
ETH Trend Strategy with Multi-Timeframe and ATR ProtectionOverview
The Optimized ETH Trend Strategy is designed to leverage adaptive trend-following techniques using multiple indicators. This strategy combines exponential moving averages (EMA), the Average Directional Index (ADX), and Average True Range (ATR) to identify and execute trades with trend confirmation. The strategy also applies multi-timeframe validation and volume analysis to filter trades, improving the likelihood of success.
This strategy is optimized for Ethereum/USDT but can be tested on other assets. Its most effective results have been observed on the 4-hour timeframe with appropriate adjustments to stop-loss and risk management settings.
Core Features
EMA Trend Detection:
The strategy uses a fast EMA (21-period) and a slow EMA (50-period). A crossover event signals the beginning of a potential trend.
To prevent false signals, a higher timeframe (1-hour) EMA is also checked for trend alignment.
ADX Trend Strength Confirmation:
The ADX indicator measures the strength of a trend. Only trades where ADX exceeds the threshold (default: 25) are considered.
Candlestick and Volume Filters:
Candlestick patterns (e.g., bullish or bearish engulfing) serve as an optional confirmation tool to strengthen trade entries.
Volume is compared to a smoothed moving average to ensure the trade has sufficient market activity.
Dynamic Stop-Loss via ATR:
The ATR (Average True Range) is used to calculate dynamic stop-loss levels, allowing flexibility based on market volatility.
A trailing stop-loss system protects profits during extended trends while minimizing drawdowns.
Strategy Parameters
Parameter Default Value Description
Fast EMA Length 21 The period for the fast EMA, used to detect short-term trends.
Slow EMA Length 50 The period for the slow EMA, providing longer-term trend guidance.
ADX Threshold 25 Minimum ADX value required to confirm a strong trend.
ATR Multiplier 3.0 Multiplier applied to ATR for dynamic stop-loss calculation.
Volume Smoothing Period 20 Period for calculating average volume to filter low-volume conditions.
Use Candlestick Confirmation True Enables or disables additional candlestick pattern confirmation.
Entry and Exit Logic
Long Entry:
A long position is triggered when:
The fast EMA crosses above the slow EMA.
The current price is above the fast EMA.
ADX confirms trend strength.
Multi-timeframe EMA alignment indicates higher timeframe confirmation.
Volume exceeds the smoothed average.
(Optional) A bullish candlestick pattern is detected.
Short Entry:
A short position is triggered under similar conditions but in the opposite direction.
Exit Strategy:
The strategy uses a trailing stop-loss system based on the ATR. This allows the strategy to lock in profits while reducing exposure during market reversals.
Performance Notes
This strategy is designed with risk management in mind, limiting trades to 5% of account equity per trade by default.
Results will vary depending on market conditions and the selected timeframe. During periods of consolidation, false signals may occur more frequently, which is mitigated through volume and trend strength confirmation.
Important Considerations
Backtesting Setup:
The default properties are configured to simulate realistic trading conditions, including a commission of 0.075% per trade.
Users should verify their results with appropriate slippage and commission values for their specific exchange.
No Guarantee of Future Performance:
While this strategy has performed well under historical conditions, past performance does not guarantee future results. Always test strategies thoroughly before live trading.
Customization:
Traders can adjust parameters (e.g., EMA lengths, ATR multiplier, and ADX threshold) to better suit different assets or timeframes. It is recommended to test any changes in a simulated environment.
How to Use
Apply the strategy to your chart on TradingView.
Adjust the parameters according to your asset and timeframe.
Enable alerts to receive notifications for potential trade entries.
Monitor the performance in the strategy tester to assess the effectiveness of your setup.
Disclaimer
This strategy is intended for educational and informational purposes only. It is not financial advice. Users are responsible for their own trading decisions and risk management.
BTC/USD Enhanced High-Growth Impulse Strategy for 30-Min ChartOverview:
This script combines trend-following and momentum-based entry/exit signals, optimized for BTC/USD on a 30-minute timeframe. It integrates Exponential Moving Averages (EMAs), Supertrend, and Average True Range (ATR) to identify potential trade opportunities with volatility-adjusted risk management.
Indicators Explained:
Exponential Moving Averages (EMAs):
21 EMA (Short-term): Identifies fast-moving price trends.
50 EMA (Medium-term): Captures broader momentum.
200 EMA (Long-term): Filters major market direction.
These EMAs work together to signal trend crossovers, indicating shifts between bullish and bearish phases.
Supertrend:
This indicator highlights momentum and volatility. A positive Supertrend indicates strong upward momentum, while a negative Supertrend signals bearish momentum.
Average True Range (ATR):
ATR helps calculate dynamic stop loss and take profit levels. By adjusting exits to match market volatility, the strategy can respond to both fast-moving and consolidating conditions.
Entry & Exit Conditions:
Long Entry:
The 21 EMA crosses above the 50 EMA.
The price is above the Supertrend line, confirming bullish momentum.
ATR volatility is above its 50-period moving average to filter out low-volatility conditions.
Trade Exit:
A stop loss is set at 2 ATR below the entry price, and the take profit is set at 6 ATR above.
Short Entry:
The 21 EMA crosses below the 50 EMA.
The price is below the Supertrend line, confirming bearish momentum.
ATR volatility exceeds the 50-period moving average.
Trade Exit:
A stop loss is set at 2 ATR above the entry price, and take profit at 6 ATR below.
Default Strategy Settings:
Position Size: 2% of equity per trade (configurable)
Risk Management: Dynamic ATR-based stop loss and take profit
Indicators:
EMA 21, 50, and 200 for trend detection
Supertrend (factor: 3, ATR period: 10) for momentum confirmation
ATR for volatility-based risk control
Performance Metrics:
Optimal Timeframe: 30-minute chart
Backtesting Results:
Percent Profitable: 62%
Profit Factor: 1.136
Average Trade Return: 0.14%
Max Drawdown: 0.58% of equity
Total Trades: 35
The strategy demonstrates stable performance across both trending and volatile market conditions. Keep in mind that past performance does not guarantee future results.
Notes for Traders:
Test this strategy with realistic commission and slippage to ensure results are accurate for your trading environment.
While the strategy is designed for BTC/USD on the 30-minute timeframe, it may also perform well on other high-liquidity cryptocurrencies and timeframes with additional optimization.
Avoid over-leveraging. We recommend allocating 1-2% equity per trade for risk control.
Plot Information:
The script visualizes key indicators:
EMA 21 (blue), EMA 50 (red), EMA 200 (green)
Supertrend (orange)
Green/red background shading highlights bullish and bearish entry conditions.
Disclaimer:
This script is for educational purposes only. Use it as part of a comprehensive trading plan that includes proper risk management. Trading involves significant risk, and no strategy can predict future price movements with certainty.
MABS algo box Time Algothis indicator helps with time zone where market rejects hopefully u can use it
MABS algo box Time Algothis indicator helps with time zones n hours where the market rejects this my option n hopefully works for you
DOGE Trend-Following Strategy – Balanced Risk & Trend (15m)This strategy is designed to capture trends in DOGE/USDT, using a combination of moving averages and momentum indicators to filter high-quality trades. It is optimized for balanced risk management with a focus on reducing drawdowns through conservative position sizing.
How the Strategy Works
Exponential Moving Averages (EMAs):
A fast EMA (default: 50) tracks short-term price momentum.
A slow EMA (default: 200) represents the broader trend.
Trades are executed when these EMAs cross, signaling shifts in market direction.
ADX (Average Directional Index):
ADX (default length: 14) confirms trend strength.
The strategy only enters trades when ADX is above 25, indicating a strong trend. This helps avoid low-confidence trades during sideways markets.
RSI (Relative Strength Index):
RSI (default: 14) helps avoid trades during overbought or oversold conditions.
Long trades are exited when RSI crosses above 70, while short trades are closed when RSI drops below 30.
Multi-Timeframe Filter:
To further validate trends, 4-hour EMAs are integrated into the strategy, keeping entries in sync with larger market movements.
Performance Highlights
Net Profit: +$2,438.85 USDT (0.24% return over testing period)
Profit Factor: 1.136 – indicating more profit than loss overall.
Closed Trades: 35
Winning Trades: 62.86%
Max Drawdown: 0.58% – representing the largest equity decrease during the test period.
Trade Duration: On average, trades last about 40 bars (10 hours on a 15-minute chart).
Trade Setup
Long Entry:
A long position is taken when:
The 50 EMA crosses above the 200 EMA,
The ADX is above 25, and
RSI is above 30 (indicating healthy momentum).
The trade is exited when RSI hits 70 or price reaches a dynamic profit or stop-loss level.
Short Entry:
A short position is entered when:
The 50 EMA crosses below the 200 EMA,
The ADX confirms trend strength above 25, and
RSI is below 70 (avoiding oversold conditions).
The short position closes if RSI drops to 30 or stop-loss/take-profit criteria are met.
Strategy Parameters
Fast EMA Length: Default set to 50.
Slow EMA Length: Default set to 200.
ADX Length: Default set to 14 with a threshold of 25 for filtering trends.
RSI: Length is 14 with overbought/oversold thresholds at 70 and 30.
Dynamic Take Profit & Stop Loss: Configurable, allowing for risk customization.
Backtesting Conditions
Account Size: $100,000
Position Size: 2% of equity per trade – within the recommended 1-5% risk management framework.
Slippage and Commission: Set to realistic values to improve accuracy.
The backtest ran on DOGE/USDT over a multi-month period, showing reliable performance on the 15-minute timeframe. While past performance is not a guarantee of future success, the results suggest this approach may offer a robust framework for trend-following traders.
Strategy Notes
This updated version prioritizes sustainability by ensuring trades risk no more than 2% of equity. The combination of multiple indicators helps avoid whipsaws and improves long-term profitability. Always test strategies with your own data and market conditions before live trading.
EMA50EMA150#gangesThis strategy is a trading system that uses Exponential Moving Averages (EMA) and Simple Moving Averages (SMA) to determine entry and exit points for trades. Here's a breakdown of the key components and logic:
Key Indicators:
EMA 50 (Exponential Moving Average with a 50-period window): This is a more responsive moving average to recent price movements.
EMA 150 (Exponential Moving Average with a 150-period window): A slower-moving average that helps identify longer-term trends.
SMA 150 (Simple Moving Average with a 150-period window): This acts as a stop-loss indicator for long trades.
User Inputs:
Start Date and End Date: The strategy is applied only within this date range, ensuring that trading only occurs during the specified period.
Trade Conditions:
Buy Signal (Long Position):
A buy is triggered when the 50-period EMA crosses above the 150-period EMA (indicating the price is gaining upward momentum).
Sell Signal (Short Position):
A sell is triggered when the 50-period EMA crosses below the 150-period EMA (indicating the price is losing upward momentum and moving downward).
Stop-Loss for Long Positions:
If the price drops below the 150-period SMA, the strategy closes any long positions as a stop-loss mechanism to limit further losses.
Re-Entry After Stop-Loss:
After a stop-loss is triggered, the strategy monitors for a re-entry signal:
Re-buy: If the price crosses above the 150-period EMA from below, a new long position is triggered.
Re-sell: If the 50-period EMA crosses below the 150-period EMA, a new short position is triggered.
Trade Execution:
Buy or Sell: The strategy enters trades based on the conditions described and exits them if the stop-loss conditions are met.
Re-entry: After a stop-loss, the strategy tries to re-enter the market based on the same buy/sell conditions.
Risk Management:
Commission and Slippage: The strategy includes a 0.1% commission on each trade and allows for 3 pips of slippage to account for real market conditions.
Visuals:
The strategy plots the 50-period EMA (blue), 150-period EMA (red), and 150-period SMA (orange) on the chart, helping users visualize the key levels for decision-making.
Date Range Filter:
The strategy only executes trades during the user-defined date range, which helps limit trades to a specific period and avoid backtesting errors on irrelevant data.
Stop-Loss Logic:
The stop-loss is triggered when the price crosses below the 150-period SMA, closing the long position to protect against significant drawdowns.
Overall Strategy Goal:
The strategy aims to capture long-term trends using the EMAs for entry signals, while protecting profits through the stop-loss mechanism and offering a way to re-enter the market after a stop-loss.
Gaussian Channel with Stochastic RSI StrategyUsed this recenrly
Advantages:
The strategy combines multiple indicators to provide a more comprehensive view of the market.
The Gaussian channel helps to identify potential support and resistance levels.
The stochastic oscillator and RSI help to identify overbought and oversold conditions.
Disadvantages:
The strategy requires multiple indicators, which can increase the complexity of the analysis.
The Gaussian channel may not always provide accurate support and resistance levels.
The stochastic oscillator and RSI may provide false signals in certain market conditions.
Overall, the Gaussian Channel with Stochastic RSI Strategy is a complex trading strategy that requires careful analysis and risk management. It is essential to backtest the strategy and adjust the parameters to suit your trading style and risk tolerance.
Order Block Strategy with LinesKey Changes:
Added recentBullishOB and recentBearishOB conditions that check if the order block occurred within the last 24 hours using timenow - time <= 86400000 (24 hours in milliseconds).
Modified all trade execution logic and line drawing to use these recent conditions instead of the original order block conditions.
Maintained original plotting of all order blocks (including older ones) using the unfiltered bullishOB and bearishOB variables.
This modification ensures that:
All order blocks are still visually marked on the chart
Trading levels are only calculated for recent order blocks
Trades are only executed on order blocks created within the last 24 hours
Support/resistance lines are only drawn for recent order blocks
Numerology IndicatorThis indicator calculates the digit root number of highest high and lowest low price. It marks them as turning points of the trend. These candles can be used probable trend reversal points.
Scalping con EMA y RSIes una nueva extrategia que estoy poniendo en practiva basada en. dosmedias mobiles y elrsi si algunprofesional la pudiera revisary desirme si estoy iniciando bien para mi seria un honor
Swing Trading Strategy - Indian MarketTrend Identification:
The script uses 50 EMA and 200 EMA to identify the trend.
Uptrend: 50 EMA > 200 EMA.
Downtrend: 50 EMA < 200 EMA.
Momentum Confirmation:
RSI is used to confirm momentum.
Buy when RSI crosses above 30 (oversold) in an uptrend.
Sell when RSI crosses below 70 (overbought) in a downtrend.
Volume Filter:
The script checks if the current volume is 1.5x the average volume (adjustable) to confirm breakouts.
Signals:
Buy Signal: Green "BUY" label below the candle.
Sell Signal: Red "SELL" label above the candle.
Background Highlight:
The background is highlighted green during an uptrend and red during a downtrend.
Crypto Movement PredictorKey Features
Moving Averages (MA):
The indicator calculates two moving averages:
Short-term MA (50 periods): A faster-moving average that reacts quickly to price changes.
Long-term MA (200 periods): A slower-moving average that smooths out price fluctuations and represents the broader trend.
These moving averages are plotted on the chart for visual reference.
Crossover Strategy:
The indicator predicts potential bullish or bearish movements based on the crossover of the two moving averages:
Bullish Signal: When the short-term MA crosses above the long-term MA, the indicator predicts a potential upward movement.
Bearish Signal: When the short-term MA crosses below the long-term MA, the indicator predicts a potential downward movement.
These signals are displayed as labels on the chart for easy identification.
Last 500 Candlesticks:
The indicator plots the closing prices of the last 500 candlesticks to provide historical context. This helps traders understand the recent price action and how it relates to the moving averages.
Visualization:
The short-term MA is plotted in blue, and the long-term MA is plotted in red.
Bullish signals are marked with a green label saying "Bullish," and bearish signals are marked with a red label saying "Bearish."
The last 500 candlesticks are plotted in orange for reference.
哪有小孩天天哭该策略名为“哪有小孩天天哭”，旨在模拟一种随机交易行为，借此展示赌徒谬误的概念。赌徒谬误是指人们错误地相信过去的事件会影响未来的独立事件。在金融市场中，交易者常常会受到这种心理影响，认为连续的亏损或盈利会影响下一次交易的结果。
如果连续亏损达到4次且尚未执行真实下单，则随机选择买入或卖出并执行下单
FJH's Expansion IndicatorFJH's Expansion Indicator is a custom-built trading tool designed to support the unique fractal-based trading model taught at FJH's University. This indicator is engineered to help traders identify key price action patterns, focusing on high and low price levels as potential reversal points. It marks the previous candle's high and low and tracks whether the price breaches these levels before returning within the range, signaling a possible reversal in market direction.
Key Features:
Fractal Model Recognition: Identifies when the high or low of a previous candle is breached and closed back within the range, marking it as a potential entry point.
Line Visualization: Draws lines at the previous candle's high and low and keeps them visible until a valid fractal pattern is confirmed. The lines are then reset after four candles.
Stop Loss and Take Profit: The indicator draws stop loss lines at the price level where the breach occurred and sets the take profit at the closing price of the fourth candle following the pattern's confirmation.
Customization: Users can adjust the color and width of the lines, enabling full flexibility to match their visual preferences and trading style.
Designed for both beginner and advanced traders, FJH's Expansion Indicator aids in identifying high-probability trade setups, integrating seamlessly with the educational content at FJH's University. This indicator enhances your understanding of the fractal model and empowers you to trade with a structured, rule-based approach.
Auto Last Earnings AVWAP
This script provides an automated approach to tracking critical post-earnings price levels. You can add it to a chart and then flip through your watchlist to see the anchored AVWAPs without the need to do it manually one by one.
Core Features:
Automatically detects earnings dates and anchors VWAP calculations without manual input
Calculates volume-weighted average price specifically from the last earnings release
Identifies and visualizes significant earnings gaps between reporting periods
Volume-Based Signal Detection:
Monitors VWAP crosses with volume confirmation (requires 1.5x normal volume)
Labels high-volume breakouts with clear directional signals
Uses a 6-bar adaptive volume baseline to filter out noise
Practical Applications:
AVWAP anchored at earnings offers a great price support level that should be considered when deciding to buy/sell the stock. This script eliminates manual VWAP anchoring and reduces chart management time
Key Differentiators:
First note: coding VWAP anchoring in pine is more challenging that one would think. The source code is open to help other users and hopefully inspire different applications.
No need to manually anchor the VWAP
Draws earnings gap from earnings to earnings (if auto mode)
Detects breakouts through the AVWAP line
ICT Midnight Opening RangeICT Midnight Opening Range
Automatically marked and extended right for reference.
-Custom Color
-Optional CE Level
-Extends to Current Candle
.. more
Updates will come with community feedback and suggestions
روند چند تایمفریمی [کمتر از ۱ ساعت] حمید عمرانی فردروند حرکتی در تایم فریم های مختلف رو بر اساس مووینگ اوریج شناسایی میکنه، رنگ سبز به معنی صعود، قرمز نزول و خاکستری روندی خنثی را نمایش می دهد.
