Fvg and bag fillGAP THEORY
Fair Value Gap
The gap b/w the 1st and3rd candle.
If the 3rd candle closed or consolidated inside the second candle it offers entry with some confirmation on basis of HTF bias
Break Away Gap
The 3rd candle which closes above or below the 2nd candle confirms the Break away gap(BAG)
Buy side:- the 3rd candle body close above the 2nd candle high. Indicates buy side pressure .
Sell side:- the 3rd candle body close below the 2nd candle low. On seeing those sell side pressure we mostly (not every time)don't get a pullback into the FVG above
Points to remember
Only sell at premium & Buy at the discount.
Stick with the HTF bias.
Participate during the kill zone.
Risk management is the key for a profitable Trader.
Strictly 1:2RR
Motifs graphiques
20/50 EMA Crossover StrategyThis shows the buy and sell signal based on the crossover and it does not lag at all
Timecode° – The Hidden Key to Institutional MovesSummary:
Institutions know where the market is headed, but they need to manipulate the price to grab liquidity before making their move.
The market fakes you out first → Then it moves in the real direction!
This trick happens consistently in the last 10 minutes of every hour (xx:50 - xx:00).
Timecode° Time & Price Window Breakdown
1️⃣ Time Manipulation (xx:50 - xx:00)
- Institutions create a **false move** to trigger stop-losses and mislead retail traders.
- This phase is a **liquidity hunt**, not the real direction.
2️⃣ Price Delivery (xx:00 - xx:10)
- Once liquidity is taken, price moves in the real direction based on institutional positioning.
- This is where the **true institutional order flow** kicks in.
3️⃣ The Institutional Playbook
- Price doesn’t move randomly—it moves based on liquidity and execution at key time windows (like xx:50 - xx:10).
- The fake move is designed to create imbalances, allowing institutions to enter at optimal prices.
🔑 How to Use This in Trading**
- Don’t chase breakouts between xx:50 - xx:59.Wait for confirmation.
- Look for liquidity grabs near key levels.** Institutions love to sweep these before the real move.
- Watch price behavior at xx:00 - xx:10.** This is where the trend shift often happens.
This method is not just price action—it’s price action within institutional time windows. That’s what separates smart traders from trapped retail traders! 🚀
Advanced SMC StrategyAdvanced SMC Strategy, that will display the buy/sell signals, display Choch, BOS and order blocks
Sadosi Gap SelecterThis indicator is designed to be used on daily charts. Please note that it will not work with weekly or hourly data.
The Sadosi Gap Selecter is a powerful indicator designed to identify price gaps that occur between specific dates on the chart. It allows users to easily analyze price movements between selected weeks and days, highlighting these periods with visual boxes. This helps traders spot potential trend reversals and key price levels more effectively. It’s particularly valuable for those utilizing gap trading strategies to identify market inefficiencies.
The core functionality of this indicator is based on detecting price differences between two selected days within a defined date range. With the Start Day (day1) and End Day (day2) options, you can choose the exact days of the week you’d like to analyze. For instance, if you want to focus on price movements from Friday to Monday, simply select those days. Additionally, the Start Week (week1) and End Week (week2) settings allow you to narrow down the time frame on a weekly basis, making it easy to analyze price behavior during specific periods of the year.
For visual customization, several options are available. The Color (renk) setting lets you choose between red and yellow for the highlighted boxes. The Transparency (op) control adjusts the background opacity from 0% (fully opaque) to 100% (completely transparent), allowing you to manage how prominently the boxes appear on your chart. Furthermore, the Border (hat) option enables you to add or remove borders around the boxes, helping reduce visual clutter or emphasize certain areas depending on your preference.
Once applied to the chart, the indicator automatically generates boxes for the specified date ranges. The upper and lower bounds of each box are determined based on the price movement within that period, providing insights into the direction and strength of the trend. However, this tool does not generate definitive buy or sell signals on its own. It is recommended to use it alongside other technical analysis tools to make more informed trading decisions.
With the Sadosi Gap Selecter, you can gain clearer insights into price behavior, strengthen your trend analyses using historical data, and fully customize the settings to match your trading style for more effective results.
This indicator is designed to be used on daily charts. Please note that it will not work with weekly or hourly data
Market Structure Indicator (MSI)The Market Structure Indicator (MSI) is designed to identify key support and resistance levels dynamically based on ATR multipliers.
* It helps traders detect price consolidation zones and potential breakout areas.
* The indicator includes a squeeze detection mechanism, highlighting periods of price compression where a breakout is likely to occur.
Momentum Master Strategy (All-In-One)What is the Momentum Master Strategy (All-in-One)?
The Momentum Master Strategy (All-in-One) is a sophisticated, trend-following indicator designed to help traders identify optimal entry and exit points in the market with ease. By combining several powerful trading tools into one, this indicator streamlines your trading process. It uses a blend of Moving Averages (MAs), RSI (Relative Strength Index), and MACD (Moving Average Convergence Divergence) along with price action to automatically signal buy and sell opportunities based on momentum and trend strength.
This indicator works across multiple timeframes and is well-suited for both novice and experienced traders. It offers everything you need to identify market trends, capture momentum shifts, and make timely decisions—without requiring additional indicators or setup. The Momentum Master Strategy takes care of the heavy lifting, providing accurate signals that you can use to enhance your trading performance.
How Does the Momentum Master Strategy Work?
The Momentum Master Strategy (All-in-One) integrates a mix of several technical indicators and price action strategies to generate signals. Here's a breakdown of how each part of the strategy contributes:
1. Moving Averages (MAs)
Moving averages are one of the core components of the indicator. The Fast Moving Average (MA) and Slow Moving Average (MA) track the average price of an asset over a specified period. The Fast MA reacts more quickly to price changes, while the Slow MA reacts more slowly. The crossovers between the fast and slow MAs are key signals in the strategy.
Bullish Crossover (Buy Signal) : When the Fast MA crosses above the Slow MA, it signals a potential upward trend. This is a key indicator to consider entering a long position (buy).
Bearish Crossover (Sell Signal) : When the Fast MA crosses below the Slow MA, it signals a potential downward trend. This is a key indicator to consider entering a short position (sell).
2. Relative Strength Index (RSI)
RSI is a momentum oscillator that measures the speed and change of price movements. It oscillates between 0 and 100, and is commonly used to determine whether an asset is overbought or oversold.
RSI > 70 (Overbought) : This indicates that the asset might be overbought, which could signal a potential reversal or correction in price.
RSI < 30 (Oversold) : This indicates that the asset might be oversold, which could signal a potential reversal to the upside.
The RSI in this strategy is used to confirm trends. A buy signal generated by the moving average cross is more reliable when the RSI is below 30 (indicating oversold conditions), and a sell signal is more reliable when the RSI is above 70 (indicating overbought conditions).
3. Moving Average Convergence Divergence (MACD)
The MACD is a powerful trend-following momentum indicator. It calculates the difference between two moving averages (typically the 12-period and 26-period Exponential Moving Averages). The MACD line and the signal line (a 9-period EMA of the MACD) are the two key components of the MACD indicator.
MACD Bullish Crossover (Buy Signal) : When the MACD line crosses above the signal line, it suggests increasing bullish momentum and signals a potential buy.
MACD Bearish Crossover (Sell Signal): When the MACD line crosses below the signal line, it suggests increasing bearish momentum and signals a potential sell.
The MACD also helps to confirm the strength and validity of a trend, and is used to validate signals provided by the moving averages and RSI.
4. Price Action & Market Structure
The price action aspect of the strategy analyzes how price moves over time. This is used to detect potential support and resistance levels, trend formations, and reversal signals. The price movement combined with the moving averages, RSI, and MACD allows traders to make informed decisions about where the price is likely to head next.
Signal Generation
The Momentum Master Strategy (All-in-One) works by continuously monitoring the market for changes in trend and momentum. It combines the data from the Moving Averages, RSI, and MACD to generate actionable signals. Here’s how the system decides when to alert you:
Buy Signal (Long Entry)
Fast MA crosses above the Slow MA – This suggests a potential upward trend.
RSI is below 30 (Oversold condition) – This suggests that the asset is oversold and may be primed for a reversal to the upside.
MACD crosses above its signal line – This confirms that bullish momentum is increasing.
When all three conditions align, the Momentum Master Strategy generates a buy signal to enter a long position.
Sell Signal (Short Entry)
Fast MA crosses below the Slow MA – This suggests a potential downward trend.
RSI is above 70 (Overbought condition) – This suggests that the asset is overbought and may be primed for a reversal to the downside.
MACD crosses below its signal line – This confirms that bearish momentum is increasing.
When all three conditions align, the Momentum Master Strategy generates a sell signal to enter a short position.
Benefits of the Momentum Master Strategy (All-in-One)
Automated Signals : The indicator automatically generates signals based on the most reliable technical indicators, saving you time and eliminating human error.
Easy-to-Use : All necessary elements are built into one indicator, so you don’t have to manage multiple indicators or external setups.
Multi-Timeframe Compatibility : The strategy works effectively on multiple timeframes, giving you the flexibility to trade on different time scales.
Momentum Confirmation : By combining multiple momentum indicators, you can be more confident in your trade decisions, reducing the risk of false signals.
Conclusion
The Momentum Master Strategy (All-in-One) is a powerful trading tool that simplifies decision-making by integrating multiple proven indicators into a single solution. With its ability to generate accurate buy and sell signals based on the combination of moving averages, RSI, MACD, and price action, it empowers traders to spot and act on market trends with greater precision. Whether you're a beginner or an experienced trader, this indicator can help streamline your strategy and increase your chances of success in the market.
Buy sell signals by Mahesh KolipakulaBased on the Exponential Moving Averages (EMA) with periods 5, 13, and 26: a buy signal will be generated when the 5-period EMA crosses above the 13-period and 26-period EMAs in upwards. Conversely, a sell signal will be triggered when the 5-period EMA crosses below the 13-period and 26-period EMAs in downwards.
MLExtensionsRPLibrary "MLExtensionsRP"
A set of extension methods for a novel implementation of a Approximate Nearest Neighbors (ANN) algorithm in Lorentzian space.
normalizeDeriv(src, quadraticMeanLength)
Returns the smoothed hyperbolic tangent of the input series.
Parameters:
src (float) : The input series (i.e., the first-order derivative for price).
quadraticMeanLength (int) : The length of the quadratic mean (RMS).
Returns: nDeriv The normalized derivative of the input series.
normalize(src, min, max)
Rescales a source value with an unbounded range to a target range.
Parameters:
src (float) : The input series
min (float) : The minimum value of the unbounded range
max (float) : The maximum value of the unbounded range
Returns: The normalized series
rescale(src, oldMin, oldMax, newMin, newMax)
Rescales a source value with a bounded range to anther bounded range
Parameters:
src (float) : The input series
oldMin (float) : The minimum value of the range to rescale from
oldMax (float) : The maximum value of the range to rescale from
newMin (float) : The minimum value of the range to rescale to
newMax (float) : The maximum value of the range to rescale to
Returns: The rescaled series
getColorShades(color)
Creates an array of colors with varying shades of the input color
Parameters:
color (color) : The color to create shades of
Returns: An array of colors with varying shades of the input color
getPredictionColor(prediction, neighborsCount, shadesArr)
Determines the color shade based on prediction percentile
Parameters:
prediction (float) : Value of the prediction
neighborsCount (int) : The number of neighbors used in a nearest neighbors classification
shadesArr (array) : An array of colors with varying shades of the input color
Returns: shade Color shade based on prediction percentile
color_green(prediction)
Assigns varying shades of the color green based on the KNN classification
Parameters:
prediction (float) : Value (int|float) of the prediction
Returns: color
color_red(prediction)
Assigns varying shades of the color red based on the KNN classification
Parameters:
prediction (float) : Value of the prediction
Returns: color
tanh(src)
Returns the the hyperbolic tangent of the input series. The sigmoid-like hyperbolic tangent function is used to compress the input to a value between -1 and 1.
Parameters:
src (float) : The input series (i.e., the normalized derivative).
Returns: tanh The hyperbolic tangent of the input series.
dualPoleFilter(src, lookback)
Returns the smoothed hyperbolic tangent of the input series.
Parameters:
src (float) : The input series (i.e., the hyperbolic tangent).
lookback (int) : The lookback window for the smoothing.
Returns: filter The smoothed hyperbolic tangent of the input series.
tanhTransform(src, smoothingFrequency, quadraticMeanLength)
Returns the tanh transform of the input series.
Parameters:
src (float) : The input series (i.e., the result of the tanh calculation).
smoothingFrequency (int)
quadraticMeanLength (int)
Returns: signal The smoothed hyperbolic tangent transform of the input series.
n_rsi(src, n1, n2)
Returns the normalized RSI ideal for use in ML algorithms.
Parameters:
src (float) : The input series (i.e., the result of the RSI calculation).
n1 (simple int) : The length of the RSI.
n2 (simple int) : The smoothing length of the RSI.
Returns: signal The normalized RSI.
n_cci(src, n1, n2)
Returns the normalized CCI ideal for use in ML algorithms.
Parameters:
src (float) : The input series (i.e., the result of the CCI calculation).
n1 (simple int) : The length of the CCI.
n2 (simple int) : The smoothing length of the CCI.
Returns: signal The normalized CCI.
n_wt(src, n1, n2)
Returns the normalized WaveTrend Classic series ideal for use in ML algorithms.
Parameters:
src (float) : The input series (i.e., the result of the WaveTrend Classic calculation).
n1 (simple int)
n2 (simple int)
Returns: signal The normalized WaveTrend Classic series.
n_adx(highSrc, lowSrc, closeSrc, n1)
Returns the normalized ADX ideal for use in ML algorithms.
Parameters:
highSrc (float) : The input series for the high price.
lowSrc (float) : The input series for the low price.
closeSrc (float) : The input series for the close price.
n1 (simple int) : The length of the ADX.
regime_filter(src, threshold, useRegimeFilter)
Parameters:
src (float)
threshold (float)
useRegimeFilter (bool)
filter_adx(src, length, adxThreshold, useAdxFilter)
filter_adx
Parameters:
src (float) : The source series.
length (simple int) : The length of the ADX.
adxThreshold (int) : The ADX threshold.
useAdxFilter (bool) : Whether to use the ADX filter.
Returns: The ADX.
filter_volatility(minLength, maxLength, useVolatilityFilter)
filter_volatility
Parameters:
minLength (simple int) : The minimum length of the ATR.
maxLength (simple int) : The maximum length of the ATR.
useVolatilityFilter (bool) : Whether to use the volatility filter.
Returns: Boolean indicating whether or not to let the signal pass through the filter.
backtest(high, low, open, startLongTrade, endLongTrade, startShortTrade, endShortTrade, isEarlySignalFlip, maxBarsBackIndex, thisBarIndex, src, useWorstCase)
Performs a basic backtest using the specified parameters and conditions.
Parameters:
high (float) : The input series for the high price.
low (float) : The input series for the low price.
open (float) : The input series for the open price.
startLongTrade (bool) : The series of conditions that indicate the start of a long trade.
endLongTrade (bool) : The series of conditions that indicate the end of a long trade.
startShortTrade (bool) : The series of conditions that indicate the start of a short trade.
endShortTrade (bool) : The series of conditions that indicate the end of a short trade.
isEarlySignalFlip (bool) : Whether or not the signal flip is early.
maxBarsBackIndex (int) : The maximum number of bars to go back in the backtest.
thisBarIndex (int) : The current bar index.
src (float) : The source series.
useWorstCase (bool) : Whether to use the worst case scenario for the backtest.
Returns: A tuple containing backtest values
init_table()
init_table()
Returns: tbl The backtest results.
update_table(tbl, tradeStatsHeader, totalTrades, totalWins, totalLosses, winLossRatio, winrate, earlySignalFlips)
update_table(tbl, tradeStats)
Parameters:
tbl (table) : The backtest results table.
tradeStatsHeader (string) : The trade stats header.
totalTrades (float) : The total number of trades.
totalWins (float) : The total number of wins.
totalLosses (float) : The total number of losses.
winLossRatio (float) : The win loss ratio.
winrate (float) : The winrate.
earlySignalFlips (float) : The total number of early signal flips.
Returns: Updated backtest results table.
the rainbow unicornScript Name: The Rainbow Unicorn
Description:
The Rainbow Unicorn is a unique visual indicator designed to add a touch of color and fun to your trading charts. This indicator colors the bars, wicks, and borders using rainbow colors, making technical analysis more enjoyable and visually appealing.
Features:
Rainbow Colors: Bars, wicks, and borders are colored in red, orange, yellow, green, blue, and purple, creating a dynamic rainbow effect.
Customization: Colors are applied cyclically, offering a continuous and smooth visualization of market data.
Ease of Use: No complex configuration is required. Simply add the indicator to your chart to see the rainbow colors in action.
How It Works:
The indicator uses a function to generate rainbow colors and applies them to the bars on the chart based on their index. The colors are defined in an array and are applied cyclically, meaning each bar receives a different rainbow color.
Usage:
Add the "The Rainbow Unicorn" indicator to your chart.
Observe the rainbow-colored bars for a more visual and fun trading experience.
Use this indicator in conjunction with your other technical analysis tools for better visualization of trends and price movements.
Underlying Concepts:
This indicator is primarily designed to enhance the visual experience of traders by adding vibrant and dynamic colors to the charts. It does not rely on complex calculations or trend detection methods but aims to make technical analysis more enjoyable and engaging.
Leading Indicator - MACD + RSI### *How It Works*
1. *MACD*:
- The MACD line is calculated as the difference between the 12-period and 26-period exponential moving averages (EMAs).
- A signal line (9-period EMA of the MACD line) is used to generate crossover signals.
2. *RSI*:
- RSI is used to measure momentum and identify overbought/oversold conditions.
- Signals are filtered to avoid overbought/oversold zones, ensuring the indicator acts as a leading tool.
3. *Signals*:
- A *BUY* signal is generated when:
- MACD line crosses above the signal line (bullish momentum).
- RSI is above the oversold level but below the overbought level (momentum is building).
- A *SELL* signal is generated when:
- MACD line crosses below the signal line (bearish momentum).
- RSI is below the overbought level but above the oversold level (momentum is weakening).
---
### *How to Use*
1. Copy and paste the script into TradingView's Pine Script editor.
2. Add the indicator to your chart.
3. Adjust the input parameters (e.g., MACD lengths, RSI length) to suit your trading style.
4. Use the BUY/SELL signals to identify potential entry and exit points.
---
### *Customization*
- You can add more filters, such as volume or trend confirmation (e.g., using a moving average).
- Experiment with different lengths for MACD and RSI to optimize for your preferred time frame.
9 EMA vs VWAP Crossover auto buy and sell strategyPurpose: The script is designed to provide trade signals based on the relationship between a short-term 9-period EMA and the VWAP.
How It Works:
Calculate the 9 EMA: Provides a short-term trend indicator.
Calculate the VWAP: Reflects the average price weighted by volume during the session.
Generate Signals:
A buy signal is generated when the 9 EMA crosses above the VWAP.
A sell (or short) signal is generated when the 9 EMA crosses below the VWAP.
Visual Feedback: The script plots the indicators and places labels on the chart to mark these crossovers.
Overlay Daily Candle [odnac]This script is designed to visually overlay the daily candle on various timeframes, allowing traders to quickly assess the shape of the daily candle, its high and low points, and the relationship between the open and close prices.
Additionally, it helps to intuitively identify upward and downward movements by using color-coded bullish and bearish candles.
Key Features
Candle Color Indication: Bullish candles are shown in green, while bearish candles are shown in red.
Candle Body Box: The box represents the body of the daily candle, based on the open and close prices.
Candle Wick: The wicks of the daily candle are drawn to represent the high and low prices.
Date Change Detection: When a new date begins, the previous data is reset, and new boxes and lines are drawn according to the updated date.
How to Use
You can adjust the script’s options to customize the color of bullish and bearish candles, as well as the transparency of the boxes, to suit your personal style.
Chart Box Session Indicator [ScrimpleAI]This indicator allows highlighting specific time sessions within a chart by creating colored boxes to represent the price range of the selected session. Is an advanced and flexible tool for graphically segmenting trading sessions. Thanks to its extensive customization options and advanced visualization features, it allows traders to gain a clear representation of key market areas based on chosen time intervals.
The indicator offers two range calculation modes:
- Body to Body : considers the range between the opening and closing price.
- Wick to Wick : considers the range between the session's low and high.
Key Features
1. Session Configuration
- Users can select the time range of the session of interest.
- Option to choose the day of the week for the calculation.
- Supports UTC timezone selection to correctly align data.
2. Customizable Visualization
- Option to display session price lines.
- Ability to show a central price line.
- Extension of session lines beyond the specified duration.
3. Graphical Display Configuration
- Three different background configurations to suit light and dark themes.
- Two gradient modes for session coloring:
- Centered : the color is evenly distributed.
- Off-Centered : the gradient is asymmetrical.
How It Works
The indicator determines whether the current time falls within the selected session, creating a colored box that highlights the corresponding price range.
Depending on user preferences, the indicator draws horizontal lines at the minimum and maximum price levels and, optionally, a central line.
During the session:
- The lowest and highest session prices are dynamically updated.
- The range is divided into 10 bands to create a gradient effect.
- A colored box is generated to visually highlight the chosen session.
If the Extend Lines option is enabled, price lines continue even after the session ends, keeping the range visible for further analysis.
Usage
This indicator is useful for traders who want to analyze price behavior in specific timeframes. It is particularly beneficial for strategies based on market sessions (e.g., London or New York open) or for identifying accumulation and distribution zones.
BBMA ZoneZeroLoss (ZZL) Oma AllyOma Ally is a Malaysian trader who developed the BBMA strategy, a method that combines Bollinger Bands and moving averages to identify potential market movements.
This strategy has gained popularity in Malaysia, Indonesia and Brunei and is used by many traders in the forex community.
The BBMA strategy includes several setups, including the "Reentry" setup, which aims to re-enter the market after a price correction in the direction of the main trend.
This setup is used by traders to determine precise entry and exit points.
The "Zero Loss Zone" is a concept within the BBMA strategy that aims to identify trading areas, e.g. for "re-entry" setups, where risk is minimised.
By applying specific criteria, such as the presence of strong trend candles and the positioning of certain moving averages, traders try to take positions with minimal risk of loss.
Bollinger Bands + RSI [Uncle Sam Trading]The Bollinger Bands + RSI indicator combines two popular technical analysis tools, Bollinger Bands (BB) and the Relative Strength Index (RSI), into a unified framework designed to assess both market volatility and momentum. This indicator provides both visual signals on the chart, and allows you to set alerts. It is intended to help traders identify potential overbought/oversold conditions, trend reversals, and to refine trade entry and exit points.
Key Features:
Bollinger Bands: The indicator plots Bollinger Bands, which consist of a basis line (typically a 20-period Simple Moving Average), an upper band (basis + 2 standard deviations), and a lower band (basis - 2 standard deviations). The bands dynamically adjust to market volatility, widening during periods of increased volatility and contracting during periods of decreased volatility.
Relative Strength Index (RSI): The RSI, a momentum oscillator, is plotted in a separate pane below the price chart. It measures the magnitude of recent price changes to evaluate overbought or oversold conditions in the price of a stock or other asset. Traditional interpretation uses 70 and 30 as overbought and oversold levels, respectively.
Overbought/Oversold Zones Highlighting: This indicator uniquely highlights overbought and oversold zones directly on the price chart based on the RSI values. When the RSI is above the overbought level (default 70), a red-shaded area is displayed. When the RSI is below the oversold level (default 30), a green-shaded area is displayed. These visual cues enhance the identification of potential trend reversals.
Buy and Sell Signals: The indicator generates buy signals when the price crosses above the lower Bollinger Band and the RSI is below the oversold level (if the RSI filter is enabled). Sell signals are generated when the price crosses below the upper Bollinger Band and the RSI is above the overbought level (if the RSI filter is enabled). These signals are plotted as green upward-pointing triangles (buy) and red downward-pointing triangles (sell) on the chart.
Customizable Parameters: Users can adjust various settings, including:
Bollinger Bands Length: The number of periods used to calculate the moving average and standard deviation.
Bollinger Bands Standard Deviation: The multiplier used to determine the distance of the upper and lower bands from the basis.
RSI Length: The number of periods used to calculate the RSI.
RSI Overbought/Oversold Levels: The threshold values that define overbought and oversold conditions for the RSI.
Use RSI Filter for Signals: Enable/disable the RSI filter for buy and sell signals.
Colors: The colors of the Bollinger Bands, RSI, overbought/oversold levels, and zone highlights can be customized to suit user preferences.
Alerts: The indicator supports customizable alerts for various conditions, including:
Buy Signal: Triggered when a buy signal is generated.
Sell Signal: Triggered when a sell signal is generated.
Price Crossed Upper BB: Triggered when the price crosses above the upper Bollinger Band.
Price Crossed Lower BB: Triggered when the price crosses below the lower Bollinger Band.
RSI Overbought: Triggered when the RSI crosses above the overbought level.
RSI Oversold: Triggered when the RSI crosses below the oversold level.
How to Use:
The Bollinger Bands + RSI indicator can be used in various ways, including:
Identifying Potential Trend Reversals: Price crosses above the lower band coupled with an oversold RSI (and highlighted zone) may signal a bullish reversal. Conversely, a price cross below the upper band with an overbought RSI (and highlighted zone) may indicate a bearish reversal.
Confirming Trend Strength: In an uptrend, the price may "ride" the upper band, while in a downtrend, it may "ride" the lower band.
Exit Signals: Crossing the opposite band while in a trade, particularly with confirming RSI signals, is often used to identify potential exit points.
Combined with Other Analysis: This indicator works well in conjunction with other technical analysis tools, such as trend lines, support/resistance levels, chart patterns, and moving average-based strategies.
Disclaimer:
This indicator is for educational and informational purposes only and should not be considered as financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct thorough research and consider your risk tolerance before making any trading decisions.
Hammer Detector### Hammer Pattern Detector
The Hammer Pattern Detector is a specialized technical analysis tool designed to identify high-probability hammer candlestick patterns. This indicator uses precise mathematical calculations to detect hammer patterns that meet specific criteria, helping traders identify potential market reversals.
#### Key Features
- Precise detection of hammer patterns based on shadow-to-body ratios
- Customizable parameters for fine-tuning pattern recognition
- Visual alerts with markers above qualifying candles
- Built-in alert functionality for real-time notifications
#### Parameters
1. **Shadow Length Multiplier (min)**: Controls how many times longer the lower shadow must be compared to the candle body (default: 2.0)
2. **Maximum Upper Shadow (%)**: Sets the maximum allowed length for the upper shadow as a percentage of total candle length (default: 10%)
3. **Minimum Body to High Distance (%)**: Defines how close the body must be to the high of the candle (default: 90%)
#### Detection Criteria
The indicator identifies hammer patterns based on three main conditions:
- Lower shadow must be at least twice the length of the body (adjustable)
- Upper shadow must be minimal (max 10% of total candle length by default)
- Candle body must be positioned near the high of the candle
#### Use Cases
- Identifying potential trend reversals
- Finding entry points in oversold conditions
- Confirming support levels
- Part of a broader reversal strategy
#### Tips for Best Results
- Use in conjunction with support/resistance levels
- Combine with volume analysis for confirmation
- Consider overall market context and trend
- Adjust parameters based on your trading timeframe
#### Installation
1. Add the indicator to your chart
2. Adjust the parameters according to your trading style
3. Optional: Set up alerts for real-time notifications
#### About
Created by WK
Version: 1.0
All rights reserved ©WK
For questions or suggestions, please reach out through TradingView.
Grids lines"Líneas de Grid para Análisis Técnico"
Este indicador dibuja líneas de grid (rejilla) en el gráfico de precios, lo que puede ayudar a visualizar zonas de soporte, resistencia y niveles de interés en un rango de precios determinado.
Características:
Precio Mínimo y Máximo: Configura los precios entre los cuales se dibujarán las líneas de grid.
Número de Grids: Establece cuántas líneas de grid quieres ver en el gráfico.
Color y Grosor de las Líneas: Personaliza los colores y el grosor de las líneas de grid, incluyendo la primera y la última línea.
Estilo de las Líneas: Puedes elegir entre líneas discontinuas (Dotted) o sólidas (Solid), para personalizar aún más tu visualización.
Ticker Específico: Si lo deseas, puedes elegir un ticker específico para dibujar las líneas solo cuando el gráfico esté mostrando ese activo. De lo contrario, las líneas se dibujarán en el gráfico actual.
Parámetros:
Precio Mínimo: El precio más bajo para el rango del grid (por ejemplo: 0.82).
Precio Máximo: El precio más alto para el rango del grid (por ejemplo: 1.24).
Número de Grids: Define cuántas líneas quieres entre el precio mínimo y el máximo (por ejemplo: 30).
Estilo de Línea: Elige entre Dotted (líneas discontinuas) o Solid (líneas sólidas).
Ticker: Si deseas dibujar las líneas solo para un ticker específico, ingresa el símbolo del ticker (por ejemplo, ADAUSDT). Si dejas este campo vacío, las líneas se dibujarán en el gráfico actual.
Ejemplo de Uso:
Si estás analizando el par ADAUSDT, puedes escribir ADAUSDT en el campo del ticker para que las líneas solo se dibujen cuando este par esté visible. Si dejas el campo vacío, las líneas se dibujarán en cualquier ticker que tengas en el gráfico.
Descripción en Inglés:
"Grid Lines for Technical Analysis"
This indicator draws grid lines on the price chart, helping to visualize support, resistance, and key levels within a specific price range.
Features:
Min and Max Price: Set the price range for the grid lines to be drawn.
Number of Grids: Choose how many grid lines you want to display on the chart.
Line Color and Thickness: Customize the color and thickness of the grid lines, including the first and last line.
Line Style: Choose between Dotted (dashed lines) or Solid (solid lines) to further customize your view.
Specific Ticker: If desired, you can specify a ticker for the grid lines to only be drawn when that asset is shown. Otherwise, the lines will be drawn on the current chart.
Parameters:
Min Price: The lowest price for the grid range (for example, 0.82).
Max Price: The highest price for the grid range (for example, 1.24).
Number of Grids: Defines how many lines you want between the minimum and maximum price (for example, 30).
Line Style: Choose between Dotted or Solid.
Ticker: To draw the lines only for a specific ticker, enter the symbol of the ticker (for example, ADAUSDT). If left blank, the lines will be drawn on the current ticker.
Usage Example:
If you're analyzing the pair ADAUSDT, you can enter ADAUSDT in the ticker field to draw the lines only when that pair is visible. If you leave the field blank, the lines will be drawn for any ticker currently on the chart.
[COG] WeatherForecaster🌤️ Just like a weather forecast that adjusts as new data emerges, this TMA Pivot Points Forecaster adapts to evolving market conditions!
Description:
This indicator combines the power of a Triple Moving Average (TMA) with pivot point analysis to identify potential market turning points and trend directions. Like a meteorologist using various atmospheric data to predict weather patterns, this tool analyzes price action through multiple lenses to forecast potential market movements.
Key Features:
- Dynamic TMA Line: Acts as our "atmospheric pressure system," showing the underlying market direction
- Adaptive Pivot Points: Like weather stations, these pivots identify key market levels where the "climate" might change
- Smart Entry Signals: ☀️ and 🌧️ icons appear when conditions align for potential trades
- Timeframe-Adaptive: Automatically adjusts sensitivity across different timeframes
- Customizable Visuals: Adjust colors and styles to match your trading environment
Settings Include:
✓ TMA Length and Slope Sensitivity
✓ Pivot Point Parameters
✓ Visual Customization Options
✓ Toggle Entry Signals
✓ Toggle Pivot Lines
Note: Like weather forecasts that update with new data, this indicator recalculates as market conditions evolve. Past signals may adjust as more price action develops. Always use proper risk management and combine with other analysis tools.
Usage Guide:
The indicator works best when used as part of a complete trading system. Here's how to interpret the signals:
📈 Bullish Conditions:
- TMA Line turns green: Indicates upward momentum
- "Buy above 🌋" level appears: Potential resistance turned support level
- ☀️ Signal: Indicates favorable buying conditions
📉 Bearish Conditions:
- TMA Line turns red: Indicates downward momentum
- "Sell below 🌋" level appears: Potential support turned resistance level
- 🌧️ Signal: Indicates favorable selling conditions
⏺️ Ranging Conditions:
- TMA Line turns yellow: Market in consolidation
- 💤 Signal: Suggests waiting for clearer direction
Best Practices:
1. Higher timeframes (4H, Daily) tend to produce more reliable signals
2. Use the pivot lines as potential entry/exit reference points
3. Adjust the TMA length based on your trading style:
• Shorter lengths (20-30) for more active trading
• Longer lengths (50-60) for trend following
Settings Explained:
TMA Settings:
- TMA Length: Determines the smoothing period (default: 30)
- Slope Threshold: Controls trend sensitivity (default: 0.015)
Pivot Settings:
- Left/Right Bars: Controls pivot point calculation
- Line Length: Adjusts the visual length of pivot lines
- Line Style & Colors: Customize the visual appearance
Disclaimer:
Past performance does not guarantee future results. This indicator, like any technical tool, provides possibilities rather than certainties. Please test thoroughly on your preferred timeframes and markets before using with real capital.
First 5 Candles RangeI'll explain this indicator which marks the high and low range of the first 5 minutes of the Indian market trading session:
Purpose:
This indicator identifies and marks the highest and lowest prices during the first 5 minutes (9:15 AM - 9:20 AM) of the Indian trading session
It draws two horizontal lines: red for the high and green for the low
These levels are often used by traders to identify potential support/resistance for the day
Multi-EMA Trend Analyzer (7/99/144/169) Multi EMA Trend Analysis Tool | Suitable for Stocks/Cryptocurrencies/Forex
This indicator identifies the trend intensity of different time periods through four key EMA lines (customizable parameters):
-Short term EMA (default 7 cycles): Capture recent price momentum
-Mid term EMA (default 99/144 cycle): Identify mid-term trends
-Long term EMA (default 169 cycles): Confirm long-term direction
Feature Highlights:
1. Real time price fluctuation tags
2. Dynamic EMA numerical legend
3. Fully customizable cycles and colors
4. Support all trading varieties and time frames
Usage suggestion:
-Golden Cross/Dead Cross: Observing the Relationship between Short term EMA and Long term EMA
-Deviation between price and EMA: Pay attention to pullback risk when price deviates from long-term EMA
-Multi EMA arrangement: Horizontal arrangement of moving averages can confirm trend strength
Risk Warning: It is recommended to use a combination of trading volume and other indicators
Ayebale - Trading - Bot (5min Tune)This Pine Script v5 strategy is designed to trade on a 5‑minute timeframe using a combination of technical indicators and session filtering, with enhanced visual feedback through on‐chart tables. Here’s an overview of its main components and functionality:
Input Settings and Visuals:
The script defines color inputs for bullish and bearish signals as well as for fair value gap (FVG) markings.
Parameters such as the ATR period, ATR multiplier for stop-loss, and a series of take-profit (TP) multipliers are adjustable to fine-tune the strategy for short-term (5‑minute) trading.
ATR and Price Levels:
A shorter ATR period is used to calculate volatility, which then determines the stop-loss distance and take-profit levels.
The highest high and lowest low over the last 20 bars are computed to help generate entry signals.
Fair Value Gap (FVG) Detection:
The script checks for conditions where a “gap” exists between previous bars (a bullish or bearish fair value gap).
If a fair value gap is detected, it can trigger entry signals. FVG zones are drawn on the chart with high transparency for subtle visual reference.
Session Timing Based on Nairobi Time (UTC+3):
Session start and end times for London, New York, and Tokyo are defined using the "Africa/Nairobi" timezone.
A helper function determines whether each session is “Ongoing,” “Not Started,” or “Ended” based on the current time, and calculates the remaining time until the next session start.
Trading is enabled only when at least one of these sessions is “Ongoing,” and the strategy is further restricted to weekdays (Monday to Friday).
Entry and Exit Logic:
The strategy generates buy signals when the close crosses over the recent low or when a bullish FVG is identified; conversely, it generates sell signals when the close crosses under the recent high or a bearish FVG is detected.
For each trade signal, the code enters 5 orders (each with varying TP levels calculated using the ATR and TP multipliers) and sets the stop-loss based on the ATR multiplied by the user-defined multiplier.
Trade Information Table (Bottom Right):
A trade information table is created with 2 columns by 9 rows.
Each row is dedicated to a specific trade metric:
Row 0: Trade side (e.g., “BUY NOW” or “SELL NOW”)
Row 1: Entry price
Rows 2–6: Five TP levels (TP1 to TP5)
Row 7: Stop-loss level
Row 8: Timer showing the elapsed time since the trade entry
The table updates dynamically based on trade executions and includes conditional cell background colors (for example, highlighting TP levels when certain conditions are met).
Session Information Table (Top Right):
A separate table displays session information, including the session name, its current status (with dynamic background colors: red for “Ended,” orange for “Not Started,” and dark green for “Ongoing”), and the time remaining in the session.
Overall Strategy Behavior:
The strategy only executes trades when the market is active during one or more of the specified sessions and only on trading days (Monday to Friday).
It is tuned for a 5‑minute chart, with more reactive ATR and TP levels suitable for short-term trading.
This comprehensive script not only defines a technical trading strategy but also provides real-time visual feedback and session-based filtering, making it a robust tool for traders who operate on short timeframes and need clear, dynamic information on trade performance and market sessions.
EMA Crossover + RSI StrategyCheck trend of 20 EMA, 50 EMA and 100 EMA and if price crosses above all 3 and trend is up, buy. If RSI goes above 70 or price crosses below any of the 3 EMAs, sell.
