4-Hour KAMA StrategyThe 4-hour KAMA strategy is a trend-following system that uses the Kaufman Adaptive Moving Average (KAMA) to filter trades in the direction of the prevailing trend. When the price is above KAMA, it signals a potential long entry, while being below KAMA suggests short trades.
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Parabolic Move ScannerParabolic Move Scanner:
The Parabolic Move Scanner is a technical indicator that scans for stocks showing strong price momentum, which are likely to experience significant upward movement. This is based on four key criteria:
Relative Volume: The indicator checks if the stock's current trading volume is significantly higher than its average volume over a set period. This indicates heightened interest and increased market activity.
Bullish Candlestick: The stock's current price must be higher than its opening price, indicating a bullish candle. This suggests positive market sentiment and upward price movement.
RSI Change: The Relative Strength Index (RSI) is calculated to track price momentum. The indicator looks for a significant increase in RSI from the previous bar, which indicates strong buying pressure and a surge in momentum.
Price Breakout: The stock's price must be breaking above the highest high over the past set number of bars, signaling a breakout and a potential continuation of the uptrend.
The Parabolic Move Scanner combines these four factors to detect stocks that exhibit parabolic-like behavior, showing signs of a strong move ahead.
Features:
Volume: Ensures the stock is trading with higher-than-average volume, signaling increased interest.
Candlestick: Only bullish candlesticks are considered, confirming positive sentiment.
RSI: Identifies sharp increases in the RSI, indicating a surge in buying pressure.
Breakout: Tracks price breakouts, confirming that the stock is pushing to new highs.
Visuals:
The background color is highlighted in green when all conditions are met, indicating a parabolic move is likely.
A horizontal line is drawn at the breakout level when the conditions are triggered, extending for a specified number of bars to highlight the breakout level
Chart Pattern DetectionChart patterns are visual representations of price movements in a financial market. Traders use them to predict future price actions. Here are the key types of chart patterns:
UTC Time MarkersThis indicater shows when is UTC 09:00 and UTC 00:00. This is my trading time for a day.
[UsaYasin] Fibonacci Retracement / QQE / VWAP Deviation Fibonacci retracement is a popular technical analysis tool used by traders to identify potential support and resistance levels in financial markets.
The QQE indicator, short for Quantitative Qualitative Estimation, is a technical analysis tool used by traders to identify potential overbought and oversold conditions in the market. It's essentially a smoothed version of the popular Relative Strength Index (RSI) indicator, with some added features.
VWAP deviation is a technical analysis tool that helps traders understand how far the current price of an asset is from its volume-weighted average price (VWAP).
DRKFRX INDICTOR GOL BUY SNIPESIndicator Overview
The LWMA-MA is a hybrid trading tool combining Linear Weighted Moving Averages (LWMA) with EMA trend filtering, designed for disciplined trend-following strategies. It generates clear buy/sell signals while enforcing strict risk management rules.
FVG + HH/LL 2.0🚀 FVG + HH/LL 2.0 — Smart Market Structure Analysis Tool
Key Features:
Fair Value Gaps (FVG) Detection
Auto-plot bullish/bearish FVG with customizable colors and border styles.
Highlight filled FVGs (separate colors and border options).
Choose mitigation type: candle close or wicks.
Advanced Filtering & Settings
ATR filter to ignore insignificant gaps.
Limit display of old FVGs (adjustable via "Maximum Filled FVGs").
Toggle visibility of HL/LH levels.
Market Structure Analysis
Detect HH/LL (Higher Highs/Lower Lows) and HL/LH patterns.
Visualize BOS (Break of Structure) and CHoCH (Change of Character).
Customizable Visualization
Adjust line styles for BOS (dashed, solid, dotted).
Separate styles for active vs. filled FVGs (borders, colors).
Toggle filled FVG borders (dotted/dashed/solid).
Additional Tools
Auto-alerts for new FVG formations.
Hide outdated FVGs after a specified bar count.
Why Use This Script?
✅ All-in-One Tool for FVG traders and market structure enthusiasts.
✅ Clean, clutter-free design with fully customizable visuals.
✅ Focus on high-probability zones with smart filtering.
Perfect for price action traders, ICT concepts, and order-flow analysis! 📈✨
Simply add to your chart and tweak settings to match your strategy!
Ichimoku Indicador//@version=6
indicator(title="Ichimoku Indicador", shorttitle="Ichimoku", overlay=true)
conversionPeriods = input.int(9, minval=1, title="Tenkan San")
basePeriods = input.int(26, minval=1, title="Kijun Sen")
laggingSpan2Periods = input.int(52, minval=1, title="Senkou Span B")
displacement = input.int(26, minval=1, title="Senkou Span A")
donchian(len) => math.avg(ta.lowest(len), ta.highest(len))
conversionLine = donchian(conversionPeriods)
baseLine = donchian(basePeriods)
leadLine1 = math.avg(conversionLine, baseLine)
leadLine2 = donchian(laggingSpan2Periods)
plot(conversionLine, color=color.rgb(37, 117, 236), title="TenkanSan")
plot(baseLine, color=color.rgb(238, 16, 16), title="KijunSen")
plot(close, offset = -displacement + 1, color=#23e62c, title="Chikou Span")
p1 = plot(leadLine1, offset = displacement - 1, color=#065e09,
title="Senkou Span A")
p2 = plot(leadLine2, offset = displacement - 1, color=color.rgb(233, 245, 62),
title="Senkou Span B")
plot(leadLine1 > leadLine2 ? leadLine1 : leadLine2, offset = displacement - 1, title = "Linha Superior Nuvem Kumo", display = display.none)
plot(leadLine1 < leadLine2 ? leadLine1 : leadLine2, offset = displacement - 1, title = "Linha Inferior Nuvem Kumo", display = display.none)
fill(p1, p2, color = leadLine1 > leadLine2 ? color.rgb(67, 160, 71, 90) : color.rgb(244, 67, 54, 90))
Nube JThis indicator displays a cloud between two EMAs, where the cloud is colored green when the main EMA (EMA1) is above the smoothed EMA (Ema2.1), and red when it is below. The opacity of the cloud is adjustable for clearer visualization. This tool helps identify trends and potential reversal zones in the market.
Breaks and Retests with MA Filter (SMA/EMA)This indicator is designed to identify breakouts at support and resistance levels, incorporating a Moving Average (MA) filter for further validation of the breakout conditions. Here's a brief explanation of the script:
Key Features:
Moving Average (MA) Filter:
Users can choose between two types of moving averages:
Simple Moving Average (SMA)
Exponential Moving Average (EMA)
The length of the selected MA can also be customized.
The script uses the MA to filter breakouts:
Bullish Breakout: A bullish breakout occurs when the price crosses above the resistance level, but the price must also be above the MA.
Bearish Breakout: A bearish breakout occurs when the price crosses below the support level, but the price must be below the MA.
Support and Resistance Levels:
Support is determined by the pivot lows (local minimum points) and Resistance is determined by the pivot highs (local maximum points) over a user-defined lookback range.
These levels are represented as boxes on the chart for easy visualization.
Breakout Detection:
The script detects when the price breaks above the resistance level (bullish breakout) or below the support level (bearish breakout).
The breakout conditions are validated using the selected Moving Average filter.
When a breakout occurs, a label is placed on the chart to mark the event ("Resistance Breakout" or "Support Breakout").
Alerts:
The script includes several alert conditions:
New Support Level (when a new support is identified)
New Resistance Level (when a new resistance is identified)
Resistance Breakout (when price breaks above resistance and MA filter is met)
Support Breakout (when price breaks below support and MA filter is met)
Alerts can be customized based on these conditions.
Conclusion:
This indicator helps traders by marking breakout points in the market with extra confirmation from a Moving Average filter, ensuring that breakouts occur in the direction of the trend. Traders can also get notified of these breakouts with customizable alerts, enhancing the decision-making process.
Multiple Simple Moving Averages with Bollinger BandsThis is the study on 45 Min Time frame with all quarterly Moving Average
Open/Close Candle MarkersHere’s a Pine Script code that will plot lines marking the opening and closing prices of each candle with different colors. This script will work on all timeframes and you can customize the colors as needed.
MA Crossover StrategyMA Crossover Strategy
This script implements a Simple Moving Average (SMA) crossover strategy, a widely used technique in trend-following trading systems. It helps traders identify potential buy and sell opportunities based on the relationship between two moving averages:
A fast-moving average (default: 9-period SMA)
A slow-moving average (default: 21-period SMA)
How It Works
Buy Signal (Long Entry): A long position is opened when the fast-moving average crosses above the slow-moving average. This suggests an uptrend is forming.
Exit Signal: The position is closed when the fast-moving average crosses below the slow-moving average, indicating a possible trend reversal.
Why This Script is Useful
Simple Yet Effective: Moving average crossovers are a core concept in technical analysis, providing a structured approach to identifying trends.
Customizable: Traders can modify the fast and slow MA lengths to suit different market conditions.
Visualization: The script plots the fast MA in blue and the slow MA in red, making crossovers easy to spot.
Automated Execution: It can be used as a strategy to backtest performance or automate trades in TradingView.
This script is ideal for traders looking for a straightforward trend-following strategy, whether they trade stocks, forex, or crypto.
Kalman FilterKalman Filter Indicator Description
This indicator applies a Kalman Filter to smooth the selected price series (default is the close) and help reveal the underlying trend by filtering out market noise. The filter is based on a recursive algorithm consisting of two main steps:
Prediction Step:
The filter predicts the next state using the last estimated value and increases the uncertainty (error covariance) by adding the process noise variance (Q). This step assumes that the price follows a random walk, where the last known estimate is the best guess for the next value.
Update Step:
The filter computes the Kalman Gain, which determines the weight given to the new measurement (price) versus the prediction. It then updates the state estimate by combining the prediction with the measurement error (using the measurement noise variance, R). The error covariance is also updated accordingly.
Key Features:
Customizable Input:
Source: Choose any price series (default is the closing price) for filtering.
Measurement Noise Variance (R): Controls the sensitivity to new measurements (default is 0.1). A higher R makes the filter less responsive.
Process Noise Variance (Q): Controls the assumed level of inherent price variability (default is 0.01). A higher Q allows the filter to adapt more quickly to changes.
Visual Trend Indication:
The filtered trend line is plotted directly on the chart:
When enabled, the line is colored green when trending upward and red when trending downward.
If color option is disabled, the line appears in blue.
This indicator is ideal for traders looking to smooth price data and identify trends more clearly by reducing the impact of short-term volatility.
Time-Based Vertical Lines (GMT 8-9 AM)The Breakfast Breakout is a trading strategy that capitalizes on early morning market volatility, particularly around major financial centers' opening hours. It typically involves identifying a price range formed before a key session opens—such as the London session at 8 AM—and placing breakout trades when price moves beyond this range. Traders often use pending orders to capture momentum in either direction, aiming to profit from the increased liquidity and sharp price movements that occur during this time.
Momentum-Based Bitcoin StrategyMomentum-Based Bitcoin Strategy with Multi-Timeframe Confirmation
This Pine Script strategy is designed for Bitcoin traders looking to capture momentum-driven breakout moves and potential reversals. The script leverages key technical indicators such as moving average crossovers (EMA-20 and EMA-50), MACD crossovers, and RSI oversold conditions to generate buy signals. It integrates multi-timeframe analysis by confirming trends on higher timeframes (e.g., daily) while executing entries on lower timeframes (e.g., hourly).
Key Features:
Multi-Timeframe Analysis: Confirms higher timeframe trends before entering trades.
Momentum Signals: Moving average and MACD crossovers for breakout detection.
Dynamic Risk Management: ATR-based stop losses for position sizing and volatility control.
Alerts: Push notifications for both entries and exits to stay updated in real time.
Use Case: Ideal for momentum traders who want to combine technical confluence and dynamic risk management to capture breakout movements and limit downside risk effectively.
VWAP with ATR BandsVWAP With 14 period ATR bands set standard to 1.5. To be used for mean reversion trades.
Nifty Support-Resistance Breakout (Nomaan Shaikh) The Nifty Support-Resistance Breakout Indicator is a powerful tool designed for traders to identify key support and resistance levels on the Nifty index chart and detect potential breakout opportunities. This indicator automates the process of plotting dynamic support and resistance levels based on historical price action and provides clear visual signals when a breakout occurs. It is ideal for traders who rely on technical analysis to make informed trading decisions.
Jiggle CookieA compact indicator that spots fast intraday scalping opportunities by detecting fake breakouts and wicks around local highs or lows. It calculates a short-term price range to estimate stop/target levels, then flags potential entries with on-chart labels and optional alerts. When a candle’s wick extends beyond the identified micro-range (but snaps back), the script issues a reversal signal and plots suggested stop-loss and take-profit dots for handy risk management. Perfect for traders who enjoy catching those short bursts of volatility while keeping a tight handle on risk and reward.
