Fvg Setup Indcator For EducationThis indicator automatically detects Fair Value Gaps (FVG) and highlights strong, trend-aligned zones. It works especially well during Kill Zone sessions, providing a clear visualization of structural price gaps.
Key Features:
• EMA & SMA Filters to confirm trend direction
• ATR-Based Gap Measurement to identify strong FVGs
• Automatic TP & SL Calculations
Best Use Case:
• Ideal for spotting potential opportunities during Kill Zone sessions.
⚠️ Disclaimer:
This script is for educational purposes and should not be considered financial advice. Always conduct proper analysis and risk management when trading.
Indikator dan strategi
9/20 EMA with FVG- Lakshmi SetupStrategy Description: 9 EMA and 20 EMA Crossover with FVG for Target Setting
Overview
This strategy uses the crossover of the 9 EMA and 20 EMA on the current chart's time frame (preferably 5 minutes) to identify potential trade entries. The system integrates Fair Value Gaps (FVG) on a higher time frame (1 hour) to help set realistic targets.
Entry Criteria
Long Entry:
Condition: The 9 EMA crosses and closes above the 20 EMA.
Confirmation: A candle must close above the 9 EMA after the crossover.
Signal: Once confirmed, the system plots a Long Signal on the chart.
Short Entry:
Condition: The 9 EMA crosses and closes below the 20 EMA.
Confirmation: A candle must close below the 9 EMA after the crossover.
Signal: Once confirmed, the system plots a Short Signal on the chart.
Risk Management
Stop-Loss (SL):
Suggested SL is set at the low (for long trades) or the high (for short trades) of the previous two candles at the time of entry.
Trail the stop-loss as the trade progresses to lock in profits.
Take Profit (TP):
The system uses FVG (Fair Value Gaps) plotted on a 1-hour time frame to estimate the potential target.
Traders are encouraged to hold positions until the target FVG is reached, or adjust their TP based on personal risk-reward preferences.
Additional Features
The system dynamically plots the 9 EMA and 20 EMA on the chart.
FVG zones are marked on the chart, aiding in target visualization.
Signals for long and short entries are visually displayed to simplify trade decisions.
This strategy is designed for traders who prefer systematic, rule-based entries and exits while incorporating advanced concepts like FVG for target estimation.
FON60DK by leventsahThe strategy generates buy and sell signals using the Tillson T3 and TOTT (Twin Optimized Trend Tracker) indicators. Additionally, the Williams %R indicator is used to filter the signals. Below is an explanation of the main components of the code:
1. Input Parameters:
Tillson T3 and TOTT parameters: Separate parameters are defined for both buy (AL) and sell (SAT) conditions. These parameters control the sensitivity and behavior of the indicators.
Williams %R period: The period for the Williams %R indicator is set to determine overbought and oversold levels.
2. Tillson T3 Calculation:
The Tillson T3 indicator is a smoothed moving average that uses an exponential moving average (EMA) with additional smoothing. The formula calculates a weighted average of multiple EMAs to produce a smoother line.
The t3 function computes the Tillson T3 value based on the close price and the input parameters.
3. TOTT Calculation (Twin Optimized Trend Tracker):
The TOTT indicator is a trend-following tool that adjusts its sensitivity based on market conditions. It uses a combination of price action and a volatility coefficient to determine trend direction.
The Var_Func function calculates the TOTT value, which is then used to derive the OTT (Optimized Trend Tracker) levels for both buy and sell conditions.
4. Williams %R Calculation:
Williams %R is a momentum oscillator that measures overbought and oversold levels. It is calculated using the highest high and lowest low over a specified period.
5. Buy and Sell Conditions:
Buy Condition: A buy signal is generated when the Tillson T3 value crosses above the TOTT upper band (OTTup) and the Williams %R is above -20 (indicating an oversold condition).
Sell Condition: A sell signal is generated when the Tillson T3 value crosses below the TOTT lower band (OTTdnS) and the Williams %R is above -70 (used to close long positions).
6. Strategy Execution:
The strategy.entry function is used to open a long position when the buy condition is met.
The strategy.close function is used to close the long position when the sell condition is met.
7. Visualization:
The bars on the chart are colored green when a long position is open.
The Tillson T3, TOTT upper band (OTTup), and TOTT lower band (OTTdn) are plotted on the chart for both buy and sell conditions.
8. Plots:
The Tillson T3 values for buy and sell conditions are plotted in blue.
The TOTT upper and lower bands are plotted in green and red, respectively, for both buy and sell conditions.
Summary:
This strategy combines trend-following indicators (Tillson T3 and TOTT) with a momentum oscillator (Williams %R) to generate buy and sell signals. The use of separate parameters for buy and sell conditions allows for fine-tuning the strategy based on market behavior. The visual elements, such as colored bars and plotted indicators, help traders quickly identify signals and trends on the chart.
Fibonacci Retracement MTF/LOGIn Pine Script, there’s always a shorter way to achieve a result. As far as I can see, there isn’t an indicator among the community scripts that can produce Fibonacci Retracement levels (linear and logarithmic) as multiple time frame results based on a reference 🍺 This script, which I developed a long time ago, might serve as a starting point to fill this gap.
OVERVIEW
This indicator is a short and simple script designed to display Fibonacci Retracement levels on the chart according to user preferences, aiming to build the structure of support and resistance.
ORIGINALITY
This script:
Can calculate 'retracement' results from higher time frames.
Can recall previous time frame results using its reference parameter.
Performs calculations based on both linear and logarithmic scales.
Offers optional multipliers and appearance settings to simplify users’ tasks
CONCEPTS
Fibonacci Retracement is a technical analysis tool used to predict potential reversal points in an asset's price after a significant movement. This indicator identifies possible support and resistance levels by measuring price movements between specific points in a trend, using certain ratios derived from the Fibonacci sequence. It is based on impulsive price actions.
MECHANICS
This indicator first identifies the highest and lowest prices in the time frame specified by the user. Next, it determines the priority order of the bars where these prices occurred. Finally, it defines the trend direction. Once the trend direction is determined, the "Retracement" levels are constructed.
FUNCTIONS
The script contains two functions:
f_ret(): Generates levels based on the multiplier parameter.
f_print(): Handles the visualization by drawing the levels on the chart and positioning the labels in alignment with the levels. It utilizes parameters such as ordinate, confirmation, multiplier, and color for customization
NOTES
The starting bar for the time frame entered by the user must exist on the chart. Otherwise, the trend direction cannot be determined correctly, and the levels may be drawn inaccurately. This is also mentioned in the tooltip of the TimeFrame parameter.
I hope it helps everyone. Do not forget to manage your risk. And trade as safely as possible. Best of luck!
EMA Zones With Buy/Sell SignalsThis EMA Zones With Buy/Sell Signals indicator provides a way to visualize and trade based on exponential moving averages (EMAs) with buy and sell signals. Here's what it does:
Conditions to Trade:
Not all Buy/Sell signals are valid and can be traded.
Here are the conditions to take the Buy or Sell trade.
For Sell trade :
* The filled zone should be in red color.
* The filled zone is declining.
* The filled zone should not be too broad.
* The Sell signal is shown.
* The next candle has taken off the low of the Sell signal candle.
For Buy trade :
* The filled zone should be in green color.
* The filled zone is moving to up side.
* The filled zone should not be too broad.
* The Buy signal is shown.
* The next candle has taken off the high of the Buy signal candle.
Pro Tip:
Avoid trade if the zone is changing color very frequently. like 1-2 candles green, then 1-2 candles white (neutral), then 1-2 candles green. That means, there is the lack in momentum.
Core Concept:
The indicator uses multiple EMAs to define different "zones" on the price chart and provides buy and sell signals based on the relationship between the price and these EMAs. It includes:
Fast and Slow EMAs to determine trend direction.
Color Zones to represent the market's condition (bullish or bearish).
Buy and Sell Signals based on specific candle patterns and the relative positions of the price
and EMAs.
Key Features:
Multiple EMAs:
Main EMAs: A fast and slow EMA are plotted by default, representing the primary trend indicators.
Other EMAs: The script includes additional EMAs (e.g., 10, 20, 50, 100, etc.) to provide further trend information, helping users make more informed decisions.
These EMAs are plotted with different colors and line styles.
Zone Coloring:
Green Zone: When the price is above both EMAs (and the fast EMA is above the slow EMA), the zone is highlighted in green. This indicates a bullish market condition.
Red Zone: When the price is below both EMAs (and the fast EMA is below the slow EMA), the zone is highlighted in red. This indicates a bearish market condition.
Neutral Zone: A neutral zone is shown when there is no clear bullish or bearish condition, with a semi-transparent color fill between the EMAs.
Buy and Sell Conditions:
Sell Condition: A sell signal is generated when:
The price is in the red zone (below both EMAs).
The candle's high is within or above the red zone and closes below the fast EMA.
The candle is bearish (closing lower than the open), or it has a long wick above.
Buy Condition: A buy signal is generated when:
The price is in the green zone (above both EMAs).
The candle's low is within or below the green zone and closes above the fast EMA.
The candle is bullish (closing higher than the open), or it has a long wick below.
These conditions are combined to create the final buy and sell signals, with specific patterns of candle behavior used to confirm trends and reversals.
Plotting Buy/Sell Signals:
Sell Signal: A "SELL" label is plotted above the bar when a sell condition is met.
Buy Signal: A "BUY" label is plotted below the bar when a buy condition is met.
Alerts are also set up to notify the trader when buy or sell conditions occur.
How It Helps Traders:
Trend Identification: The EMA zone coloring helps traders quickly identify whether the market is in a bullish (green zone) or bearish (red zone) state.
Signal Confirmation: The buy and sell signals give traders entry and exit points based on price action and EMA crossovers, which can be used in conjunction with other strategies.
Multiple Timeframes: By using different EMAs (e.g., short-term and long-term), the indicator provides insight into the market from both a short-term and long-term perspective.
Conclusion:
This indicator is designed to assist traders in making decisions based on EMAs, price action, and zone conditions. It highlights areas of potential interest (green/red zones) and provides actionable buy and sell signals when certain price patterns occur within those zones. It can be particularly useful for trend-following strategies or traders looking for potential reversals or breakouts.
Trend Reversal Probability [Algoalpha]Introducing Trend Reversal Probability by AlgoAlpha – a powerful indicator that estimates the likelihood of trend reversals based on an advanced custom oscillator and duration-based statistics. Designed for traders who want to stay ahead of potential market shifts, this indicator provides actionable insights into trend momentum and reversal probabilities.
Key Features :
🔧 Custom Oscillator Calculation: Combines a dual SMA strategy with a proprietary RSI-like calculation to detect market direction and strength.
📊 Probability Levels & Visualization: Plots average signal durations and their statistical deviations (±1, ±2, ±3 SD) on the chart for clear visual guidance.
🎨 Dynamic Color Customization: Choose your preferred colors for upward and downward trends, ensuring a personalized chart view.
📈 Signal Duration Metrics: Tracks and displays signal durations with columns representing key percentages (80%, 60%, 40%, and 20%).
🔔 Alerts for High Probability Events: Set alerts for significant reversal probabilities (above 84% and 98% or below 14%) to capture key trading moments.
How to Use :
Add the Indicator: Add Trend Reversal Probability to your favorites by clicking the star icon.
Market Analysis: Use the plotted probability levels (average duration and ±SD bands) to identify overextended trends and potential reversals. Use the color of the duration counter to identify the current trend.
Leverage Alerts: Enable alerts to stay informed of high or extreme reversal probabilities without constant chart monitoring.
How It Works :
The indicator begins by calculating a custom oscillator using short and long simple moving averages (SMA) of the midpoint price. A proprietary RSI-like formula then transforms these values to estimate trend direction and momentum. The duration between trend reversals is tracked and averaged, with standard deviations plotted to provide probabilistic guidance on trend longevity. Additionally, the indicator incorporates a cumulative probability function to estimate the likelihood of a trend reversal, displaying the result in a data table for easy reference. When probability levels cross key thresholds, alerts are triggered, helping traders take timely action.
Candles Volume HeatMap [BigBeluga]Candles Volume HeatMap
The Candle Volume HeatMap indicator is a unique and advanced tool that visualizes lower timeframe volume activity within higher timeframe candles, offering traders a granular perspective on volume distribution.
⚠️Important note: before using the indicator, it is necessary to apply it to the candles
🔵Key Features:
Volume HeatMap Visualization: The indicator breaks down each higher timeframe candle into 10 equal vertical segments (boxes) based on its high-to-low range. Each box represents a lower timeframe candle's volume activity, with more intense colors indicating stronger volume levels.
Lower Timeframe Integration: Automatically uses a timeframe 10x lower than the current chart. For example, on a 10-hour chart, it uses 1-hour candles to extract volume data.
POC (Point of Control): The highest volume box within each candle is marked with the volume value. The indicator also plots a horizontal POC line at the level of this box, highlighting significant areas of price interest. The POC line is removed once the price crosses it, ensuring the chart stays clean.
Delta Display (Optional): Traders can enable the Delta feature to analyze buyer vs. seller activity within each higher timeframe candle.
Delta is calculated by summing 10 lower timeframe candles: a bullish candle adds to buyers, while a bearish candle adds to sellers. Displays the net Delta percentage: positive values (white) indicate buyer dominance, while negative values (red) indicate seller dominance.
Dynamic Volume Scaling: The highest volume value in each candle is displayed inside its respective box, providing quick insights into critical price-volume levels.
🔵How It Works:
For each higher timeframe candle, the indicator analyzes 10 lower timeframe candles and maps their volume into 10 segments (boxes) between the high and low of the current candle.
The intensity of each box's color corresponds to the relative volume of the lower timeframe candle it represents.
The POC highlights the price level with the highest concentration of volume, aiding in identifying potential support/resistance zones.
Delta analysis offers additional insights into market sentiment by breaking down buyer and seller activity in each candle.
🔵Use Cases:
Spotting key volume areas within higher timeframe candles to identify support and resistance levels.
Analyzing volume concentration for potential breakout or reversal zones.
Leveraging Delta analysis to gauge market sentiment and confirm volume-based trends.
This indicator is ideal for traders seeking to combine volume analysis with price action, offering precise insights into volume distribution and market dynamics.
RSI Divergence Indicator + STOCHThe RSI Divergence Indicator + STOCH is a combined technical analysis tool that helps traders identify potential reversal points in the market by analyzing two key momentum indicators: the Relative Strength Index (RSI) and the Stochastic Oscillator (STOCH).
RSI Divergence: The RSI measures the speed and change of price movements, ranging from 0 to 100. Divergence occurs when the price of an asset moves in the opposite direction of the RSI, signaling a potential shift in market direction. For example, if the price makes a higher high, but the RSI forms a lower high, this indicates a bearish divergence and suggests that upward momentum may be weakening.
Stochastic Oscillator (STOCH): The Stochastic Oscillator compares an asset's closing price to its price range over a specified period. It provides signals of overbought or oversold conditions, typically using a scale of 0 to 100. When the Stochastic line crosses above 80, it signals overbought conditions, and below 20 signals oversold conditions.
Precision Combo Indicator with CrossesThe Precision Combo Indicator is a powerful tool designed to help traders identify high-probability buy and sell signals by combining three key technical indicators: Moving Averages (MA), Relative Strength Index (RSI), and MACD (Moving Average Convergence Divergence). It provides clear visual cues, including crossing lines and labels, to make trading decisions easier and more precise.
How It Works:
Moving Averages (MA):
The indicator plots two moving averages:
Fast MA (Blue Line): A shorter-term moving average (default: 9 periods).
Slow MA (Orange Line): A longer-term moving average (default: 21 periods).
When the Fast MA crosses above the Slow MA, it signals a potential uptrend.
When the Fast MA crosses below the Slow MA, it signals a potential downtrend.
RSI (Relative Strength Index):
The RSI is used to identify overbought (above 70) and oversold (below 30) conditions.
A buy signal is generated when the RSI exits the oversold zone (rises above 30).
A sell signal is generated when the RSI exits the overbought zone (falls below 70).
MACD (Moving Average Convergence Divergence):
The MACD consists of two lines:
MACD Line (Teal): The difference between two exponential moving averages.
Signal Line (Purple): A smoothed version of the MACD Line.
A buy signal is generated when the MACD Line crosses above the Signal Line.
A sell signal is generated when the MACD Line crosses below the Signal Line.
Combined Signals:
A buy signal is confirmed when:
Fast MA crosses above Slow MA.
RSI exits the oversold zone.
MACD Line crosses above the Signal Line.
A sell signal is confirmed when:
Fast MA crosses below Slow MA.
RSI exits the overbought zone.
MACD Line crosses below the Signal Line.
Visual Features:
Moving Averages:
The Fast MA (blue) and Slow MA (orange) are plotted as lines on the chart.
Crosses between the two MAs are marked with green (buy) or red (sell) labels.
MACD Lines:
The MACD Line (teal) and Signal Line (purple) are plotted as lines on the chart.
Crosses between the two MACD lines are marked with light green (buy) or dark red (sell) labels.
How to Use:
Add the Indicator:
Copy the script into the Pine Script Editor on TradingView.
Click "Add to Chart" to apply the indicator.
Interpret the Signals:
Look for green labels below the candles for buy signals.
Look for red labels above the candles for sell signals.
Confirm the signals by checking the crosses of the MA and MACD lines.
Adjust Parameters:
Customize the settings (e.g., MA lengths, RSI levels, MACD parameters) to fit your trading strategy.
Risk Management:
Always use stop-loss and take-profit levels to manage risk.
Example: Set a stop-loss at 2x ATR below the entry price for a long position.
Tips for Success:
Backtest: Test the indicator on historical data to evaluate its performance.
Combine with Other Tools: Use support/resistance levels or Fibonacci retracements for additional confirmation.
Be Patient: Wait for confirmed signals before entering a trade.
[blackcat] L2 BullBear OscillatorOVERVIEW
The " L2 BullBear Oscillator" is a custom trading indicator for TradingView that helps traders identify market trends, potential tops and bottoms, and the strength of trends using various moving averages and price relationships.
FEATURES
Calculates a base oscillator based on the close price relative to the highest and lowest prices over the past 60 periods.
Smoothes the oscillator using exponential moving averages (EMAs).
Determines market strength through relative strength indicators and moving averages.
Identifies potential tops and strong support levels based on specific conditions involving oscillators and price actions.
Plots several signals to help traders make informed decisions.
HOW TO USE
Install the script on your TradingView chart.
Customize the settings in the "Inputs" section:
Set the periods for the short-term and long-term EMAs.
Set the periods for the three SMAs used in calculations.
Interpret the plots:
BullBear Signal (Fuchsia Line): Indicates the overall market trend. Uptrends suggest buying opportunities, while downtrends suggest selling.
Decreasing BullBear Signal (Aqua Line): Highlights periods when the trend is weakening or turning bearish, signaling possible selling opportunities.
Potential Top Condition (Yellow Plot): Signals possible trend reversals from bullish to bearish, indicating times to consider taking profits or preparing for a downtrend.
High Price Condition (Yellow Plot): Indicates strong bullish momentum but also potentially overbought conditions, which might precede a correction.
Earning Condition (Red Line): Possibly signifies strong bullish signals, indicating good times to enter long positions.
Strong Support Condition (White Arrows): Signals potential bottoms or support levels, indicating buying opportunities.
Start Hiding Condition (Fuchsia Plot): Might indicate times to exit positions or reduce exposure due to unfavorable market conditions.
ALGORITHMS
Moving Averages:
Simple Moving Averages (SMAs): Used to calculate averages of price data over specified periods.
Exponential Moving Averages (EMAs): Used to give more weight to recent prices, making the moving averages more responsive to new data.
Oscillator Calculation:
The base oscillator is calculated based on the close price's position within the highest and lowest prices over 60 periods, normalized to a 0-100 scale.
This oscillator is then smoothed using EMAs to reduce noise and make trends more visible.
Relative Strength Indicator:
Calculated based on the close price's position within the highest and lowest prices over 20 periods, also normalized to a 0-100 scale.
This is smoothed using SMAs to get a more stable signal.
Condition Checks:
Various conditions are checked to identify potential tops, strong support, and other market states based on the relationships between these indicators and price actions.
LIMITATIONS
The script is based on historical data and does not guarantee future performance.
It is recommended to use the script in conjunction with other analysis tools.
The effectiveness of the strategy may vary depending on the market conditions and asset being traded.
NOTES
The script is designed for educational purposes and should not be considered financial advice.
Users are encouraged to backtest the strategy on a demo account before applying it to live trades.
THANKS
Special thanks to the TradingView community for their support and feedback.
MMXM ICT [TradingFinder] Market Maker Model PO3 CHoCH/CSID + FVG🔵 Introduction
The MMXM Smart Money Reversal leverages key metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, Market Structure Shift (MSS) or (ChoCh), CISD, and Fair Value Gap (FVG) to identify critical turning points in the market. Designed for traders aiming to analyze the behavior of major market participants, this setup pinpoints strategic areas for making informed trading decisions.
The document introduces the MMXM model, a trading strategy that identifies market maker activity to predict price movements. The model operates across five distinct stages: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. This systematic approach allows traders to differentiate between buyside and sellside curves, offering a structured framework for interpreting price action.
Market makers play a pivotal role in facilitating these movements by bridging liquidity gaps. They continuously quote bid (buy) and ask (sell) prices for assets, ensuring smooth trading conditions.
By maintaining liquidity, market makers prevent scenarios where buyers are left without sellers and vice versa, making their activity a cornerstone of the MMXM strategy.
SMT Divergence serves as the first signal of a potential trend reversal, arising from discrepancies between the movements of related assets or indices. This divergence is detected when two or more highly correlated assets or indices move in opposite directions, signaling a likely shift in market trends.
Liquidity Sweep occurs when the market targets liquidity in specific zones through false price movements. This process allows major market participants to execute their orders efficiently by collecting the necessary liquidity to enter or exit positions.
The HTF PD Array refers to premium and discount zones on higher timeframes. These zones highlight price levels where the market is in a premium (ideal for selling) or discount (ideal for buying). These areas are identified based on higher timeframe market behavior and guide traders toward lucrative opportunities.
Market Structure Shift (MSS), also referred to as ChoCh, indicates a change in market structure, often marked by breaking key support or resistance levels. This shift confirms the directional movement of the market, signaling the start of a new trend.
CISD (Change in State of Delivery) reflects a transition in price delivery mechanisms. Typically occurring after MSS, CISD confirms the continuation of price movement in the new direction.
Fair Value Gap (FVG) represents zones where price imbalance exists between buyers and sellers. These gaps often act as price targets for filling, offering traders opportunities for entry or exit.
By combining all these metrics, the Smart Money Reversal provides a comprehensive tool for analyzing market behavior and identifying key trading opportunities. It enables traders to anticipate the actions of major players and align their strategies accordingly.
MMBM :
MMSM :
🔵 How to Use
The Smart Money Reversal operates in two primary states: MMBM (Market Maker Buy Model) and MMSM (Market Maker Sell Model). Each state highlights critical structural changes in market trends, focusing on liquidity behavior and price reactions at key levels to offer precise and effective trading opportunities.
The MMXM model expands on this by identifying five distinct stages of market behavior: original consolidation, price run, smart money reversal, accumulation/distribution, and completion. These stages provide traders with a detailed roadmap for interpreting price action and anticipating market maker activity.
🟣 Market Maker Buy Model
In the MMBM state, the market transitions from a bearish trend to a bullish trend. Initially, SMT Divergence between related assets or indices reveals weaknesses in the bearish trend. Subsequently, a Liquidity Sweep collects liquidity from lower levels through false breakouts.
After this, the price reacts to discount zones identified in the HTF PD Array, where major market participants often execute buy orders. The market confirms the bullish trend with a Market Structure Shift (MSS) and a change in price delivery state (CISD). During this phase, an FVG emerges as a key trading opportunity. Traders can open long positions upon a pullback to this FVG zone, capitalizing on the bullish continuation.
🟣 Market Maker Sell Model
In the MMSM state, the market shifts from a bullish trend to a bearish trend. Here, SMT Divergence highlights weaknesses in the bullish trend. A Liquidity Sweep then gathers liquidity from higher levels.
The price reacts to premium zones identified in the HTF PD Array, where major sellers enter the market and reverse the price direction. A Market Structure Shift (MSS) and a change in delivery state (CISD) confirm the bearish trend. The FVG then acts as a target for the price. Traders can initiate short positions upon a pullback to this FVG zone, profiting from the bearish continuation.
Market makers actively bridge liquidity gaps throughout these stages, quoting continuous bid and ask prices for assets. This ensures that trades are executed seamlessly, even during periods of low market participation, and supports the structured progression of the MMXM model.
The price’s reaction to FVG zones in both states provides traders with opportunities to reduce risk and enhance precision. These pullbacks to FVG zones not only represent optimal entry points but also create avenues for maximizing returns with minimal risk.
🔵 Settings
Higher TimeFrame PD Array : Selects the timeframe for identifying premium/discount arrays on higher timeframes.
PD Array Period : Specifies the number of candles for identifying key swing points.
ATR Coefficient Threshold : Defines the threshold for acceptable volatility based on ATR.
Max Swing Back Method : Choose between analyzing all swings ("All") or a fixed number ("Custom").
Max Swing Back : Sets the maximum number of candles to consider for swing analysis (if "Custom" is selected).
Second Symbol for SMT : Specifies the second asset or index for detecting SMT divergence.
SMT Fractal Periods : Sets the number of candles required to identify SMT fractals.
FVG Validity Period : Defines the validity duration for FVG zones.
MSS Validity Period : Sets the validity duration for MSS zones.
FVG Filter : Activates filtering for FVG zones based on width.
FVG Filter Type : Selects the filtering level from "Very Aggressive" to "Very Defensive."
Mitigation Level FVG : Determines the level within the FVG zone (proximal, 50%, or distal) that price reacts to.
Demand FVG : Enables the display of demand FVG zones.
Supply FVG : Enables the display of supply FVG zones.
Zone Colors : Allows customization of colors for demand and supply FVG zones.
Bottom Line & Label : Enables or disables the SMT divergence line and label from the bottom.
Top Line & Label : Enables or disables the SMT divergence line and label from the top.
Show All HTF Levels : Displays all premium/discount levels on higher timeframes.
High/Low Levels : Activates the display of high/low levels.
Color Options : Customizes the colors for high/low lines and labels.
Show All MSS Levels : Enables display of all MSS zones.
High/Low MSS Levels : Activates the display of high/low MSS levels.
Color Options : Customizes the colors for MSS lines and labels.
🔵 Conclusion
The Smart Money Reversal model represents one of the most advanced tools for technical analysis, enabling traders to identify critical market turning points. By leveraging metrics such as SMT Divergence, Liquidity Sweep, HTF PD Array, MSS, CISD, and FVG, traders can predict future price movements with precision.
The price’s interaction with key zones such as PD Array and FVG, combined with pullbacks to imbalance areas, offers exceptional opportunities with favorable risk-to-reward ratios. This approach empowers traders to analyze the behavior of major market participants and adopt professional strategies for entry and exit.
By employing this analytical framework, traders can reduce errors, make more informed decisions, and capitalize on profitable opportunities. The Smart Money Reversal focuses on liquidity behavior and structural changes, making it an indispensable tool for financial market success.
Order Block Zones with Pin Bar & Engulfing SignalsThis strategy gives buy and sell signals based on a pin bar in the 1-minute timeframe, within supply and demand zones in the 15-minute timeframe.
6 Band Parametric EQThis indicator implements a complete parametric equalizer on any data source using high-pass and low-pass filters, high and low shelving filters, and six fully configurable bell filters. Each filter stage features standard audio DSP controls including frequency, Q factor, and gain where applicable. While parametric EQ is typically used for audio processing, this implementation raises questions about the nature of filtering in technical analysis. Why stop at simple moving averages when you can shape your signal's frequency response with surgical precision? The answer may reveal more about our assumptions than our indicators.
Filter Types and Parameters
High-Pass Filter:
A high-pass filter attenuates frequency components below its cutoff frequency while passing higher frequencies. The Q parameter controls resonance at the cutoff point, with higher values creating more pronounced peaks.
Low-Pass Filter:
The low-pass filter does the opposite - it attenuates frequencies above the cutoff while passing lower frequencies. Like the high-pass, its Q parameter affects the resonance at the cutoff frequency.
High/Low Shelf Filters:
Shelf filters boost or cut all frequencies above (high shelf) or below (low shelf) the target frequency. The slope parameter determines the steepness of the transition around the target frequency , with a value of 1.0 creating a gentle slope and lower values making the transition more abrupt. The gain parameter sets the amount of boost or cut in decibels.
Bell Filters:
Bell (or peaking) filters create a boost or cut centered around a specific frequency. A bell filter's frequency parameter determines the center point of the effect, while Q controls the width of the affected frequency range - higher Q values create a narrower bandwidth. The gain parameter defines the amount of boost or cut in decibels.
All filters run in series, processing the signal in this order: high-pass → low shelf → bell filters → high shelf → low-pass. Each stage can be independently enabled or bypassed.
The frequency parameter for all filters represents the period length of the targeted frequency component. Lower values target higher frequencies and vice versa. All gain values are in decibels, where positive values boost and negative values cut.
The 6-Band Parametric EQ combines these filters into a comprehensive frequency shaping tool. Just as audio engineers use parametric EQs to sculpt sound, this indicator lets you shape market data's frequency components with surgical precision. But beyond its technical implementation, this indicator serves as a thought experiment about the nature of filtering in technical analysis. While traditional indicators often rely on simple moving averages or single-frequency filters, the parametric EQ takes this concept to its logical extreme - offering complete control over the frequency domain of price action. Whether this level of filtering precision is useful for analysis is perhaps less important than what it reveals about our assumptions regarding market data and its frequency components.
Auto Positions and SL/TP Lines with Rsi SignalsHello,
-In our previous code Positions and SL/TP Lines, we manually entered the position values, and
the SL/TP values were assigned according to the selected percentages.
-In this Auto version, with the RSI crossings we added to the code, Buy/Sell signals will be
generated, and positions will be determined based on the signals, with SL/TP values
automatically assigned according to the preset percentage values.
-You can change the signal type in the open code by setting up your own strategy and adjusting
the code according to your signal.
-If there is an alignment synchronization problem with the bars when RSI lines are open, the RSI
lines can be turned off to resolve the issue.
-With a Buy signal, only the Buy Position and SL/TP lines will appear.
-With a Sell signal, only the Sell Position and SL/TP lines will appear.
May it be to your benefit.
Keltner + Ichimoku StrategyScript generates buy and sell signal based on Keltner & Ichimoku indicators.
Breakout StrategyThe strategy aims to capture upward price movements (breakouts) by observing when the price exceeds a predefined range, known as the Donchian Channel, while also ensuring trading volume supports the move.
When Does It Open a Long Trade?
The strategy opens a long trade (buy position) when both of these conditions are met:
1. Price Breaks Above the Upper Band
- The current closing price is higher than the Upper Band of the Donchian Channel.
- This indicates a potential breakout, signaling upward momentum.
2. High Volume Confirmation
- The current trading volume is greater than 1.9 times the average volume over the Donchian Channel's length.
- This ensures the breakout is backed by significant market activity, reducing the chance of false signals.
Only when both conditions are true, the strategy will execute a long entry.
When Does It Close the Trade?
The strategy closes the long trade (exits the position) when:
1. Price Falls Below the Middle Band
- The closing price drops below the Middle Band of the Donchian Channel.
- This acts as a reversal signal, suggesting the upward momentum has weakened, and it’s time to exit the trade.
Outside Bar Scanner (Alessio)Outside Bar Scanner
Description:
The Outside Bar Scanner is a powerful indicator designed to automatically detect outside bars (or outside candles) on any timeframe. This tool is perfect for traders who want to quickly spot reversal or trend continuation opportunities based on one of the most significant patterns in technical analysis.
Key Features:
Automatic Detection of Outside Bars:
Identifies and marks bullish (long) and bearish (short) outside bars directly on the chart.
Each outside bar is highlighted with a label and an icon for clear visibility.
Previous Candle High and Low Lines:
Draws two horizontal lines indicating the high and low of the candle preceding the outside bar.
These lines help you quickly identify key support and resistance levels.
Built-In Alerts:
Receive real-time notifications whenever a new outside bar is detected, so you’ll never miss a trading opportunity.
How to Use:
Add the indicator to your chart and let it automatically detect outside bars, marking key high and low levels.
Use the alerts to get notified whenever a new outside bar forms.
Combine this indicator with other strategies or technical tools to enhance your analysis.
Perfect For:
Traders operating in any market (forex, stocks, cryptocurrencies, indices).
Short-term, medium-term, or long-term traders, as it works seamlessly across all timeframes.
Anyone looking to simplify their technical analysis and respond quickly to market signals.
Note: This indicator is a support tool and does not provide direct trading signals. It is recommended to combine it with other analyses for well-informed decision-making.
RSI ve EMA Tabanlı Alım-Satım StratejisiBu strateji, kısa vadeli ticaret yaparken güçlü trendleri takip etmeye ve riskleri en aza indirgemeye odaklanır. Strateji, aşağıdaki göstergelere dayanarak alım ve satım sinyalleri üretir:
Alım Sinyali:
EMA 50 değeri, EMA 200'ün üzerinde olmalı, yani trend yukarı yönlü olmalı.
MACD göstergesi sıfırın altında olmalı ve önceki değeri aşarak yükselmiş olmalı. Bu, güçlenen bir düşüş trendinden çıkıp yükselişe geçişi işaret eder.
Satım Sinyali:
RSI 14 göstergesi 70 seviyesini yukarıdan aşağıya kırarsa, aşırı alım durumunun sona erdiği ve fiyatın geri çekilebileceği sinyali verilir.
Stop Loss:
Eğer EMA 50 değeri, EMA 200'ün altına düşerse, strateji mevcut pozisyonu kapatarak zararı sınırlamayı hedefler.
Bu strateji, trend takibi yapan ve risk yönetimine önem veren yatırımcılar için tasarlanmıştır. Hem alım hem de satım koşulları, piyasa koşullarını dinamik bir şekilde analiz eder ve sadece trend yönündeki hareketlere odaklanır. RSI, MACD ve EMA göstergeleriyle desteklenen alım-satım sinyalleri, güçlü ve güvenilir bir ticaret stratejisi oluşturur.
Ekstra Notlar:
Strateji, trend yönünde işlem yaparak daha sağlam pozisyonlar almanızı sağlar.
Stop loss seviyeleri, güçlü trend dönüşleri durumunda korunmaya yardımcı olur.
Bu strateji özellikle yükseliş trendleri sırasında alım yapmayı tercih eder ve aşırı alım koşullarında satışı gerçekleştirir.
MEMEQUANTRAYDIUM:VVAIFUSOL_9UMUN9.USD MEMEQUANT: A Comprehensive Tool for Price Analysis
Description:
MEMEQUANT is an advanced tool designed to help traders identify key support, resistance, and price correction zones. Combining technical analysis features such as trend lines, correction zones, and Fibonacci levels, this indicator provides a holistic view of price movements.
Key Features:
1. Correction Zones:
• Identifies correction zones between 60% and 80% from the highest price.
• Fully customizable, allowing users to adjust transparency and colors.
2. Fibonacci Levels:
• Displays Fibonacci levels (0.236, 0.382, 0.5, 0.618, 0.786) on the chart.
• Allows users to adjust level colors and transparency.
3. Dynamic Trend Lines:
• Automatically draws support and resistance lines based on short-term and long-term periods.
• Alerts can be enabled to notify users when prices touch or break these levels.
4. Customization Options:
• Users can modify colors, line lengths, and various settings for each feature.
• Adaptable to different trading strategies.
5. Alerts:
• Notifies users when prices reach critical zones or break key levels.
Why Use MEMEQUANT?
This indicator offers a simple yet powerful design that covers all your technical analysis needs. By integrating Fibonacci levels, trend lines, and correction zones into one tool, it simplifies decision-making in volatile markets.
How to Use:
1. Add the indicator to your chart.
2. Customize line lengths, colors, and transparency through the settings panel.
3. Analyze trend lines, correction zones, and Fibonacci levels to refine your strategy.
Note:
MEMEQUANT is a support tool and should not be used as the sole basis for trading decisions. Always practice proper risk management.
Adaptive Moving Averagewhat is the purpose of the indicator?
When short-length moving averages are used as trailing stops, they cause exiting the trade too early. Keeping the length value too high will result in exiting the transaction too late and losing most of the profits earned. I aimed to prevent this problem with this indicator.
what is "Adaptive Moving Average"?
it is a moving average that can change its length on each candle depending on the selected source.
what it does?
The indicator first finds the average lengths of the existing candles and defines different distances accordingly. When the moving average drawn by the indicator enters the area defined as "far" by the indicator, the indicator reduces the length of the moving average, preventing it from moving too far from the price, and continues to do so at different rates until the moving average gets close enough to the price. If the moving average gets close enough to the price, it starts to increase the length of the average and thus the adaptation continues.
how it does it?
Since the change of each trading pair is different in percentage terms, I chose to base the average height of the candles instead of using constant percentage values to define the concept of "far". While doing this, I used a weighted moving average so that the system could quickly adapt to the latest changes (you can see it on line 17). After calculating what percentage of the moving average this value is, I caused the length of the moving average to change in each bar depending on the multiples of this percentage value that the price moved away from the average (look at line 20, 21 and 22). Finally, I created a new moving average using this new length value I obtained.
how to use it?
Although the indicator chooses its own length, we have some inputs to customize it. First of all, we can choose which source we will use the moving average on. The "source" input allows us to use it with other indicators.
"max length" and "min length" determine the maximum and minimum value that the length of the moving average can take.
Apart from this, there are options for you to add a standard moving average to the chart so that you can compare the adaptive moving average, and bollinger band channels that you can use to create different strategies.
This indicator was developed due to the need for a more sophisticated trailing stop, but once you understand how it works, it is completely up to you to combine it with other indicators and create different strategies.
Weekly Trading StrategyStrategy Overview:
This trading strategy is designed for short-term trades over weekly intervals, utilizing the combination of Simple Moving Averages (SMA) for trend identification and the Relative Strength Index (RSI) for overbought/oversold conditions. It aims to capitalize on momentum shifts while mitigating the risk of entering a market at extreme points.
Key Components:
Fast SMA (9 periods): Acts as a short-term trend indicator, providing insights into quick price changes.
Slow SMA (21 periods): Represents a longer-term trend, smoothing out price fluctuations to show a more stable trend line.
RSI (14 periods): An oscillator that measures the speed and change of price movements, helping to identify potential reversal points.
Entry Signals:
Buy Signal:
Condition 1: The fast SMA (9 periods) crosses above the slow SMA (21 periods), indicating a potential upward trend shift.
Condition 2: RSI falls below 30, suggesting the asset is potentially oversold and due for a correction upwards.
Sell Signal:
Condition 1: The fast SMA crosses below the slow SMA, signaling a possible downward trend shift.
Condition 2: RSI climbs above 70, indicating the asset might be overbought and could pull back.
Strategy Execution:
Timeframe: This strategy is optimized for a weekly chart (W), where each bar or candle represents one week of trading data.
Alert System: Alerts can be set up for buy and sell signals, allowing traders to react promptly to market conditions without constant chart monitoring.
Risk Management:
This strategy includes inherent risk management by avoiding trades when the market shows extreme conditions via RSI. However, traders should also consider:
Position sizing based on account size and risk tolerance.
Setting stop-loss orders to manage potential losses if the market moves against the position.
Considering additional market analysis or indicators for confirmation before executing trades.
Considerations:
Backtesting: Before live trading, backtest the strategy on historical data to assess performance across different market conditions.
Adaptation: Market dynamics change, so periodic review and adjustment of SMA periods and RSI thresholds might be necessary.
Complementary Analysis: Enhance this strategy with fundamental analysis or other technical indicators for a more robust trading approach.
This strategy is suited for traders looking for weekly swings in the market, balancing between following the trend and spotting potential reversals. However, like all trading strategies, it should not be used in isolation but as part of a broader trading plan.
