Fibonacci & Bollinger Bands StrategyTrading System: Fibonacci & Bollinger Bands Strategy
1. Session Timing
Trade only from 1 PM onwards.
Identify the first candle on the 1 PM vertical line to set the market direction.
If it's a bullish candle, look for buy opportunities.
If it's a bearish candle, look for sell opportunities.
2. Fibonacci Retracement as a Measuring Tool
Identify the recent swing high and swing low before the 1 PM session.
Draw Fibonacci retracement levels from low to high (for buys) or high to low (for sells).
Key retracement levels to watch: 0.0%, 50.0%, and 100.0%.
Entries can be placed at 0.0% or 50.0%, aiming for a move toward 100.0% retracement.
3. Bollinger Bands Confirmation
If the Bollinger Bands are above price, expect a downward move (sell).
If the Bollinger Bands are below price, expect an upward move (buy).
Use this as additional confirmation for your Fibonacci-based trade.
4. Entry & Exit Rules
Entry:
If the 1 PM candle confirms a bullish bias, enter long near Fibonacci 0.0% or 50.0%.
If the 1 PM candle confirms a bearish bias, enter short near Fibonacci 0.0% or 50.0%.
Stop Loss: Below (for buys) or above (for sells) the swing low/high used for Fibonacci.
Take Profit: Target 100.0% retracement level or next key resistance/support.
5. Risk Management
Risk 1-2% per trade.
Avoid trading if price is too far from Fibonacci levels.
Confirm setup with Bollinger Bands alignment.
Search in scripts for "entry"
BBr1 Candle Range Volitility Gap IndicatorModified Candle Range Volatility Gap Indicator
1. Useful to analyze bars body and wicks and volatility of security.
2. Added a Percentage Option - easier to analyze across different securities.
2. Added a Standard Deviation ("1 std dev= 68.2%, 2 std dev=95.4%, 3 std dev=99.7%, etc") based upon user defined lookback period.
3. Added the ability to include Gaps in Analysis. (Gaps are when the prior closing cost does not equal opening price)
4. Possible Uses setting up stop losses, trailing entries/exits (inside range or outside range).
5. Use it with other indicators in determining if to make an entry or close entry.
Reposted Original Description by © ka66 Kamal Advani
Visually shows the Body Range (open to close) and Candle Range (high to low).
Semi-transparent overlapping area is the full Candle Range, and fully-opaque smaller area is the Body Range. For aesthetics and visual consistency, Candle Range follows the direction of the Body Range, even though technically it's always positive (high - low).
The different plots for each range type also means the UI will allow deselecting one or the other as needed. For example, some strategies may care only about the Body Range, rather than the entire Candle Range, so the latter can be hidden to reduce noise.
Threshold horizontal lines are plotted, so the trader can modify these high and low levels as needed through the user interface. These need to be configured to match the instrument's price range levels for the timeframe. The defaults are pretty arbitrary for +/- 0.0080 (80 pips in a 4-decimal place forex pair). Where a range reaches or exceeds a threshold, it's visually marked as well with a shape at the Body or Candle peak, to assist with quicker visual potential setup scanning, for example, to anticipate a following reversal or continuation.
Opening Range BoxIndicator Name: Opening Range Box with Extensions
Author: YanivBull
Description:
The Opening Range Box with Extensions is a powerful tool designed to visualize the trading range established during the first 30 minutes of a market session, a critical period for setting the day's trend. This indicator plots a box representing the high and low prices formed within this opening range, with dashed extension lines projecting these levels forward throughout the session.
Its primary purpose is to identify the boundaries of the initial trend at the start of trading. When these boundaries are breached, it serves as a trigger for potential trading opportunities: a breakout above the box high signals a possible long entry, while a breakdown below the box low indicates a potential short entry. The indicator also includes historical boxes for up to 5 previous days (configurable), allowing traders to analyze past opening ranges and their extensions for context and pattern recognition.
Key Features:
Customizable session start time (hour and minute) to adapt to various markets (e.g., NYSE, DAX, etc.).
Displays the current session's opening range box in blue and historical boxes in gray.
Plots dashed extension lines from the high and low of each box, limited to 500 bars or the end of the trading day.
Adjustable number of historical days (1-20, default 5).
Usage:
Set the Session Start Hour and Session Start Minute according to your market's opening time (relative to your chart's timezone, e.g., UTC+2). Watch for price action around the box boundaries—breakouts above the high or below the low can be used as signals for initiating long or short trades, respectively. Combine with other technical analysis tools for confirmation.
This indicator is ideal for day traders looking to capitalize on early session momentum and breakout strategies.
Uptrick: FRAMA Matrix RSIUptrick: FRAMA Matrix RSI
Introduction
The Uptrick: FRAMA Matrix RSI is a momentum-based indicator that integrates the Relative Strength Index (RSI) with the Fractal Adaptive Moving Average (FRAMA). By applying FRAMA's adaptive smoothing to RSI—and further refining it with a Zero-Lag Moving Average (ZLMA)—this script creates a refined and reliable momentum oscillator. The indicator now includes enhanced divergence detection, potential reversal signals, customizable buy/sell signal options, an internal stats table, and a fully customizable bar coloring system for an enhanced visual trading experience.
Why Combine RSI with FRAMA
Traditional RSI is a well-known momentum indicator but has several limitations. It is highly sensitive to price fluctuations, often generating false signals in choppy or volatile markets. FRAMA, in contrast, adapts dynamically to price changes by adjusting its smoothing factor based on market conditions.
By integrating FRAMA into RSI calculations, this indicator reduces noise while preserving RSI's ability to track momentum, adapts to volatility by reducing lag in trending markets and smoothing out choppiness in ranging conditions, enhances trend-following capability for more reliable momentum shifts, and refines overbought and oversold signals by adjusting to the current market structure.
With the new enhancements, such as a manual alpha input, noise filtering, divergence detection, and multiple buy/sell signal options, the indicator offers even greater flexibility and precision for traders. This combination improves the standard RSI by making it more adaptive and responsive to market changes.
Originality
This indicator is unique because it applies FRAMA's adaptive smoothing technique to RSI, creating a dynamic momentum oscillator that adjusts to different market conditions. Many traditional RSI-based indicators either use fixed smoothing methods like exponential moving averages or employ basic RSI calculations without adjusting for volatility.
This script stands out by integrating several elements, including the fractal dimension-based smoothing of FRAMA to reduce noise while retaining responsiveness, the use of Zero-Lag Moving Average smoothing to enhance trend sensitivity and reduce lag, divergence detection to highlight mismatches between price action and RSI momentum, a noise filter and manual alpha option to prevent minor fluctuations from generating false signals, customizable buy/sell signal options that let traders choose between ZLMA-based or FRAMA RSI-based signals, an internal stats table displaying real-time FRAMA calculations such as fractal dimension and the adaptive alpha factor, and a fully customizable bar coloring system to visually distinguish bullish, bearish, and neutral conditions.
Features
Adaptive FRAMA RSI
The indicator applies FRAMA to RSI values, making the momentum oscillator adaptive to volatility while filtering out noise. Unlike a traditional RSI that reacts equally to all price movements, FRAMA RSI adjusts its smoothing factor based on market structure, making it more effective for identifying true momentum shifts.
Zero-Lag Moving Average (ZLMA)
A smoothing technique that minimizes lag while preserving the responsiveness of price movements. It is applied to the FRAMA RSI to further refine signals and ensure smoother trend detection.
Bullish and Bearish Threshold Crossovers
This system compares FRAMA RSI to a user-defined threshold (default is 50). When FRAMA RSI moves above the threshold, it indicates bullish momentum, while movement below signals bearish conditions. The enhanced noise filter ensures that only significant moves trigger signals.
Noise Filter and Manual Alpha
A new noise filter input prevents tiny fluctuations from triggering false signals. In addition, a manual alpha option allows traders to override the automatically computed smoothing factor with a custom value, providing extra control over the indicator’s sensitivity.
Divergence Detection
The indicator identifies divergence patterns by comparing FRAMA RSI pivots to price action. Bullish divergence occurs when price makes a lower low while FRAMA RSI makes a higher low, and bearish divergence occurs when price makes a higher high while FRAMA RSI makes a lower high. These signals can help traders anticipate potential reversals.
Reversal Signals
Labels appear on the chart when FRAMA RSI confirms classic RSI overbought (70) or oversold (30) conditions, providing visual cues for potential trend reversals.
Buy and Sell Signal Options
Traders can now choose between two signal-generation methods. ZLMA-based signals trigger when the ZLMA of FRAMA RSI crosses key overbought (70) or oversold (30) levels, while FRAMA RSI-based signals trigger when FRAMA RSI itself crosses these levels. This added flexibility allows users to tailor the indicator to their preferred trading style.
ZLMA:
FRAMA:
Customizable Alerts
Alerts notify traders when FRAMA RSI crosses key levels, divergence signals occur, reversal conditions are met, or buy/sell signals trigger. This ensures that important trading events are not missed.
Fully Customizable Bar Coloring System
Users can color bars based on different conditions, enhancing visual clarity. Bar coloring modes include: FRAMA RSI threshold (bars change color based on whether FRAMA RSI is above or below the threshold), ZLMA crossover (bars change when ZLMA crosses overbought or oversold levels), buy/sell signals (bars change when official signals trigger), divergence (bars highlight when bullish or bearish divergence is detected), and reversals (bars indicate when RSI reaches overbought or oversold conditions confirmed by FRAMA RSI). The system also remembers the last applied bar color, ensuring a smooth visual transition.
Input Parameters and Features
Core Inputs
RSI Length (default: 14) defines the period for RSI calculations.
FRAMA Lookback (default: 16) determines the length for the FRAMA smoothing function.
RSI Bull Threshold (default: 50) sets the level above which the market is considered bullish and below which it is bearish.
Noise Filter (default: 1.0) ensures that small fluctuations do not trigger false bullish or bearish signals.
Additional Features
Show Bull and Bear Alerts (default: true) enables notifications when FRAMA RSI crosses the threshold.
Enable Divergence Detection (default: false) highlights bullish and bearish divergences based on price and FRAMA RSI pivots.
Show Potential Reversal Signals (default: false) identifies overbought (70) and oversold (30) levels as possible trend reversal points.
Buy and Sell Signal Option (default: ZLMA) allows traders to choose between ZLMA-based signals or FRAMA RSI-based signals for trade entry.
ZLMA Enhancements
ZLMA Length (default: 14) determines the period for the Zero-Lag Moving Average applied to FRAMA RSI.
Visualization Options
Show Internal Stats Table (default: false) displays real-time FRAMA calculations, including fractal dimension and the adaptive alpha smoothing factor.
Show Threshold FRAMA Signals (default: false) plots buy and sell labels when FRAMA RSI crosses the threshold level.
How It Works
FRAMA Calculation
FRAMA dynamically adjusts smoothing based on the price fractal dimension. The alpha smoothing factor is derived from the fractal dimension or can be set manually to maintain responsiveness.
RSI with FRAMA Smoothing
RSI is calculated using the user-defined lookback period. FRAMA is then applied to the RSI to make it more adaptive to volatility. Optionally, ZLMA is applied to further refine the signals and reduce lag.
Bullish and Bearish Threshold Crosses
A bullish condition occurs when FRAMA RSI crosses above the threshold, while a bearish condition occurs when it falls below. The noise filter ensures that only significant trend shifts generate signals.
Buy and Sell Signal Options
Traders can choose between ZLMA crossovers or FRAMA RSI crossovers as the basis for buy and sell signals, offering flexibility in trade entry timing.
Divergence Detection
The indicator identifies divergences where price action and FRAMA RSI momentum do not align, potentially signaling upcoming reversals.
Reversal Signal Labels
When classic RSI overbought or oversold levels are confirmed by FRAMA RSI conditions, reversal labels are added on the chart to highlight potential exhaustion points.
Bar Coloring System
Bars are dynamically colored based on various conditions such as RSI thresholds, ZLMA crossovers, buy/sell signals, divergence, and reversals, allowing traders to quickly interpret market sentiment.
Alerts and Internal Stats
Customizable alerts notify traders of key events, and an optional internal stats table displays real-time calculations (fractal dimension, alpha value, and RSI values) to help users understand the underlying dynamics of the indicator.
Summary
The Uptrick: FRAMA Matrix RSI offers an enhanced approach to momentum analysis by combining RSI with adaptive FRAMA smoothing and additional layers of signal refinement. The indicator now includes adaptive RSI smoothing to reduce noise and improve responsiveness, Zero-Lag Moving Average filtering to minimize lag, divergence and reversal detection to identify potential turning points, customizable buy/sell signal options that let traders choose between different signal methodologies, a fully customizable bar coloring system to visually distinguish market conditions, and an internal stats table for real-time insight into FRAMA calculation parameters.
Whether used for trend confirmation, divergence detection, or momentum-based strategies, this indicator provides a powerful and adaptive approach to trading.
Disclaimer
This script is for informational and educational purposes only. Trading involves risk, and past performance does not guarantee future results. Always conduct proper research and consult with a financial advisor before making trading decisions.
4 EMA & MACDThe indicator that combines Moving Average and MACD into one is very useful for providing a more complete picture of the market. Here's how it works:
Moving Average (MA): This is a trend indicator that smooths the price to show the dominant trend direction. MA helps traders determine whether the market is in an uptrend, downtrend, or sideways. For example, if the price is above the MA, it might indicate an uptrend, while if the price is below the MA, it might indicate a downtrend.
MACD (Moving Average Convergence Divergence): MACD measures market momentum and can provide entry and exit signals based on the difference between two moving averages (fast MA and slow MA). A buy signal occurs when the MACD crosses above the signal line, and a sell signal occurs when the MACD crosses below the signal line.
Combining both gives traders a more complete view:
MA provides an overview of the larger trend direction.
MACD helps identify moments when momentum supports a position for entering or exiting.
Common usage:
Entry: If the price is above the Moving Average (uptrend) and the MACD shows a buy signal (for example, MACD crossing above the signal line), it can be a signal to buy.
Exit: If the price starts moving below the MA and the MACD shows a sell signal, it can be a signal to sell or exit the position.
There is an indicator called MACD + Moving Average Cross, which combines both elements, providing stronger signals and making it easier to follow the market.
ILD inverse liquidity Divergence StrategyDetermine Bias (Bullish):
H4 chart shows an uptrend with higher highs and higher lows.
Identify a swing high where resting liquidity (buy-side) is likely above.
Look for SMT Divergence (Lower Timeframes):
On M15, EUR/USD makes a higher high while GBP/USD fails to, signaling potential manipulation.
Spot an Inverse Fair Value Gap (IFVG):
Price has impulsively moved up, leaving a fair value gap below.
Wait for a Retracement (Entry):
Price retraces into the IFVG near a Fibonacci 61.8% retracement level.
Enter long here with a SL below the gap.
Set Risk-to-Reward:
SL = 10 pips below the entry.
TP = 20 pips above (1:2 R:R), targeting a resting liquidity zone above a recent swing high.
Monitor and Exit:
Price moves into the liquidity zone, hits TP, and completes the trade.
One Shot One Kill ICT [TradingFinder] Liquidity MMXM + CISD OTE🔵 Introduction
The One Shot One Kill trading setup is one of the most advanced methods in the field of Smart Money Concept (SMC) and ICT. Designed with a focus on concepts such as Liquidity Hunt, Discount Market, and Premium Market, this strategy emphasizes precise Price Action analysis and market structure shifts. It enables traders to identify key entry and exit points using a structured Trading Model.
The core process of this setup begins with a Liquidity Hunt. Initially, the price targets areas like the Previous Day High and Previous Day Low to absorb liquidity. Once the Change in State of Delivery(CISD)is broken, the market structure shifts, signaling readiness for trade entry. At this stage, Fibonacci retracement levels are drawn, and the trader enters a position as the price retraces to the 0.618 Fibonacci level.
Part of the Smart Money approach, this setup combines liquidity analysis with technical tools, creating an opportunity for traders to enter high-accuracy trades. By following this setup, traders can identify critical market moves and capitalize on reversal points effectively.
Bullish :
Bearish :
🔵 How to Use
The One Shot One Kill setup is a structured and advanced trading strategy based on Liquidity Hunt, Fibonacci retracement, and market structure shifts (CISD). With a focus on precise Price Action analysis, this setup helps traders identify key market movements and plan optimal trade entries and exits. It operates in two scenarios: Bullish and Bearish, each with distinct steps.
🟣 Bullish One Shot One Kill
In the Bullish scenario, the process starts with the price moving toward the Previous Day Low, where liquidity is absorbed. At this stage, retail sellers are trapped as they enter short trades at lower levels. Following this, the market reverses upward and breaks the CISD, signaling a shift in market structure toward bullishness.
Once this shift is identified, traders draw Fibonacci levels from the lowest point to the highest point of the move. When the price retraces to the 0.618 Fibonacci level, conditions for a buy position are met. The target for this trade is typically the Previous Day High or other significant liquidity zones where major buyers are positioned, offering a high probability of price reversal.
🟣 Bearish One Shot One Kill
In the Bearish scenario, the price initially moves toward the Previous Day High to absorb liquidity. Retail buyers are trapped as they enter long trades near the highs. After the liquidity hunt, the market reverses downward, breaking the CISD, which signals a bearish shift in market structure. Following this confirmation, Fibonacci levels are drawn from the highest point to the lowest point of the move.
When the price retraces to the 0.618 Fibonacci level, a sell position is initiated. The target for this trade is usually the Previous Day Low or other key liquidity zones where major sellers are active.
This setup provides a precise and logical framework for traders to identify market movements and enter trades at critical reversal points.
🔵 Settings
🟣 CISD Logical settings
Bar Back Check : Determining the return of candles to identify the CISD level.
CISD Level Validity : CISD level validity period based on the number of candles.
🟣 LIQUIDITY Logical settings
Swing period : You can set the swing detection period.
Max Swing Back Method : It is in two modes "All" and "Custom". If it is in "All" mode, it will check all swings, and if it is in "Custom" mode, it will check the swings to the extent you determine.
Max Swing Back : You can set the number of swings that will go back for checking.
🟣 CISD Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🟣 LIQUIDITY Display settings
Displaying or not displaying swings and setting the color of labels and lines.
🔵 Conclusion
The One Shot One Kill setup is one of the most effective and well-structured trading strategies for identifying and capitalizing on key market movements. By incorporating concepts such as Liquidity Hunt, CISD, and Fibonacci retracement, this setup allows traders to enter trades with high precision at optimal points.
The strategy emphasizes detailed Price Action analysis and the identification of Smart Money behavior, helping traders to execute successful trades against the general market trend.
With a focus on identifying liquidity in the Previous Day High and Low and aligning it with Fibonacci retracement levels, this setup provides a robust framework for entering both bullish and bearish trades.
The combination of liquidity analysis and Fibonacci retracement at the 0.618 level enables traders to minimize risk and exploit major market moves effectively.
Ultimately, success with the One Shot One Kill setup requires practice, patience, and strict adherence to its rules. By mastering its concepts and focusing on high-probability setups, traders can enhance their decision-making skills and build a sustainable and professional trading approach.
3 Candle AlertThis is a test for integration using a webhook. I am publishing it so I can share it. Ultimately, this is what we want to do:
1. Trade Entry Rules:
Wait until at least the 3rd bar of the day (15 minutes after market open) before entering the first trade.
Order of Priority for Entry:
Look for two consecutive volume bars of the same color (the second bar must have higher volume than the first).
Look for a “price push” beyond the high or low of the day (as determined in the first 15 minutes).
2. Trading Direction:
If the volume bars are RED, I take a Long Position.
If the volume bars are GREEN, I take a Short Position.
Dabel MS + FVGThis script is designed to assist traders by identifying market structures, imbalances, and potential trade opportunities using Break of Structure (BOS) and Market Structure Shifts (MSS). It visually highlights imbalances in price action, key pivots, and market structure changes, providing actionable information for making trading decisions.
Key features:
Imbalances Detection: Highlights bullish and bearish price gaps (Fair Value Gaps) using colored boxes. Users can choose the line style (solid, dashed, or dotted) for imbalance midlines.
Market Structure Analysis: Tracks pivot highs and lows to identify BOS and MSS in two separate market structures with adjustable pivot strengths.
Customizable Visualization: Allows users to choose line styles, colors, and display options for both imbalances and market structures.
Alerts: Alerts traders when BOS or MSS occur, helping to monitor the market effectively.
Trading Strategy
Imbalance Trading:
Imbalances (gaps) represent areas where supply or demand was left unfilled. These gaps often act as magnet zones where the price revisits to fill.
Bullish Imbalance: Look for buying opportunities when price enters a green imbalance zone.
Bearish Imbalance: Look for selling opportunities when price enters a red imbalance zone.
Use the midline of the imbalance box as a key reference point for potential reversals.
Break of Structure (BOS) and Market Structure Shift (MSS):
BOS: Indicates a continuation of the existing trend. For example:
Bullish BOS: Look for continuation in the uptrend after a high is broken.
Bearish BOS: Look for continuation in the downtrend after a low is broken.
MSS: Suggests a potential reversal in market structure. For example:
Bullish MSS: Indicates a possible shift from a bearish to bullish market.
Bearish MSS: Indicates a potential shift from a bullish to bearish market.
Multiple Market Structures:
This script provide two sets of market structures, allowing traders to compare short-term and long-term trends.
Adjust the pivot strength to suit your trading style (lower for intraday trading, higher for swing or positional trading).
Entry and Exit:
Entry: Look for entries near imbalances or after confirmed BOS/MSS in line with the overall trend.
Exit: Place stop-loss below/above recent pivots and take profit at nearby support/resistance or imbalance zones.
For New Traders
Focus on Basics: Understand what BOS and MSS mean and how they signal trend direction or reversals.
Use Alerts: Rely on the script's alert system to catch important moments without staring at charts all day.
Start Small: Test this strategy on a demo account before using it live. You can understand it more with practice.
Follow Through Day (FTD) + Sweep [TrendX_]The Follow Through Day (FTD) + Sweep indicator is a Trend-following tool mixing William O'Neil's original FTD concept and Liquidity concept. This indicator helps you identify potential subsequent bullish trends with greater precision by combining volume analysis, price action, and liquidity concepts.
💎 FEATURES
Follow Through Day Candle (FTD Candle)
The FTD, pioneered by William O'Neil, serves as a reliable signal for identifying the beginning of new bull markets. It's particularly valuable because it combines multiple market factors - price action, volume, and timing - to confirm genuine market reversals rather than temporary bounces.
The power of the FTD lies in its ability to distinguish between ordinary market fluctuations and significant trend changes. By requiring specific criteria to be met across multiple sessions, it helps filter out false signals and identifies high-probability reversal points where institutional investors are likely beginning to accumulate positions.
Sweep Area
The Sweep area feature enhances the traditional FTD concept by incorporating modern liquidity analysis. This overlay identifies zones where large market participants are likely to trigger stop losses before continuing the trend. These areas often represent optimal entry points for traders looking to join the new uptrend with reduced risk.
🔎 BREAKDOWN
FTD Candle
The FTD formation process occurs in two distinct phases: Setup and Completion.
Setup Phase
Strong Market Decline
The market must first experience a significant downtrend
This selling pressure helps clear out weak hands and creates oversold conditions
The decline creates the potential energy for a powerful reversal
First Recovery Session
Marks the initial sign of buying pressure emerging
Often characterized by a strong reversal candle
Represents the first indication that selling pressure may be exhausting
Recovery Confirmation
The second and third days must maintain prices above the new pivot low
This consolidation period helps confirm the validity of the initial bounce
Shows that sellers are no longer in control of price action
Completion Phase:
Supply Test Session
Low volume indicates diminishing selling pressure
Price remains above the pivot low
Creates the foundation for institutional buyers to begin accumulating
Breakout Day
Price increase exceeds average profit of bullish candles
Volume increases by at least 15% compared to previous session
Shows strong institutional commitment to the new uptrend
Timing Window
Must occur between the 4th and 8th candle after First Recovery Session
This specific timing helps confirm the sustainability of the reversal
Based on O'Neil's research of historical market bottoms
FTD Sweep
The Post-FTD Phase introduces the Sweep concept, which is crucial for understanding how large market participants operate. This feature leverages the liquidity concept because institutional traders often need to trigger stop losses to accumulate larger positions at better prices. This helps:
Create liquidity pools for large position entries
Shake out weak hands before continuing the trend
Test the strength of the new trend by absorbing selling pressure
⚙️ USAGE
Sweep + TP & SL Strategy
Example: BTCUSDT (1D) - Replay back to 9th November 2024
After an FTD candle forms, traders can adopt a systematic approach to enhance their trading strategy. First, they should determine the swing range and convert the post-FTD zone into concrete stop loss and take profit levels, which are based on the price action during the FTD formation. Next, traders should wait for a sweep formation, as this indicates that institutional players are accumulating positions. A quick price rejection from the sweep level should be observed before executing an entry.
The reasoning behind this strategy is rooted in market microstructure. By waiting for the sweep, traders position themselves alongside institutional players who need to build large positions without causing adverse price movement. The sweep creates the liquidity they need, and the subsequent move often represents the true trend continuation.
DISCLAIMER
This indicator is not financial advice, it can only help traders make better decisions. There are many factors and uncertainties that can affect the outcome of any endeavor, and no one can guarantee or predict with certainty what will occur. Therefore, one should always exercise caution and judgment when making decisions based on past performance.
Range Channel by Atilla YurtsevenThis script creates a dynamic channel around a user-selected moving average (MA). It calculates the relative difference between price and the MA, then finds the average of the positive differences and the negative differences separately. Using these averages, it plots upper and lower bands around the MA as well as a histogram-like oscillator to show when price moves above or below the average thresholds.
How It Works
Moving Average Selection
The indicator allows you to choose among multiple MA types (SMA, EMA, WMA, Linear Regression, etc.). Depending on your preference, it calculates the chosen MA for the selected lookback period.
Relative Difference Calculation
It then computes the percentage difference between the source (typically the closing price) and the MA. (diff = (src / ma - 1) * 100)
Positive & Negative Averages
- Positive differences are averaged and represent how far the price typically moves above the MA.
- Negative differences are similarly averaged for when price moves below the MA.
Range Channel & Oscillator
- The channel is plotted around the MA using the average positive and negative differences (Upper Edge and Lower Edge).
- The “Untrended” histogram plots the difference (diff). Green bars occur when price is above the MA on average, and red bars when below. Two additional lines mark the upper and lower average thresholds on this histogram.
How to Use
Identify Overbought/Oversold Zones: The upper edge can serve as a dynamic overbought level, while the lower edge can suggest potential oversold conditions. When the histogram approaches or crosses these levels, it may signal price extremes relative to its average movement.
Trend Confirmation: Compare price action relative to the channel. If price and the histogram consistently remain above the MA and upper threshold, it could indicate a stronger bullish trend. If they remain below, it might signal a prolonged bearish trend.
Entry/Exit Timings:
- Entry: Traders can look for moments when price breaks back inside the channel from an extreme, anticipating a mean reversion.
- Exit: Watching how price interacts with these dynamic edges can help define stop-loss or take-profit points.
Because these thresholds adapt over time based on actual price behavior, they can be more responsive than fixed-percentage bands. However, like all indicators, it’s most effective when used in conjunction with other technical and fundamental tools.
Disclaimer
This script is provided for educational and informational purposes only. It does not guarantee any specific outcome or profit. Use it at your own discretion and risk.
Trade smart, stay safe.
Atilla Yurtseven
Enigma Liquidity Concept
Enigma Liquidity Concept
Empowering Traders with Multi-Timeframe Analysis and Dynamic Fibonacci Insights
Overview
The Enigma Liquidity Concept is an advanced indicator designed to bridge multi-timeframe price action with Fibonacci retracements. It provides traders with high-probability buy and sell signals by combining higher time frame market direction and lower time frame precision entries. Whether you're a scalper, day trader, or swing trader, this tool offers actionable insights to refine your entries and exits.
What Makes It Unique?
Multi-Timeframe Signal Synchronization:
Higher time frame bullish or bearish engulfing patterns are used to define the directional bias.
Lower time frame retracements are analyzed for potential entry opportunities.
Dynamic Fibonacci Layouts:
Automatically plots Fibonacci retracement levels for the most recent higher time frame signal.
Ensures a clean chart by avoiding clutter from historical signals.
Actionable Buy and Sell Signals:
Sell Signal: When the higher time frame is bearish and the price on the lower time frame retraces above the 50% Fibonacci level before forming a bearish candle.
Buy Signal: When the higher time frame is bullish and the price on the lower time frame retraces below the 50% Fibonacci level before forming a bullish candle.
Customizable Fibonacci Visuals:
Full control over Fibonacci levels, line styles, and background shading to tailor the chart to your preferences.
Integrated Alerts:
Real-time alerts for buy and sell signals on the lower time frame.
Alerts for bullish and bearish signals on the higher time frame.
How It Works
Higher Time Frame Analysis:
The indicator identifies bullish and bearish engulfing patterns to detect key reversals or continuation points.
Fibonacci retracement levels are calculated and plotted dynamically for the most recent signal:
Bullish Signal: 100% starts at the low, 0% at the high.
Bearish Signal: 100% starts at the high, 0% at the low.
Lower Time Frame Execution:
Monitors retracements relative to the higher time frame Fibonacci levels.
Provides visual and alert-based buy/sell signals when conditions align for a high-probability entry.
How to Use It
Setup:
Select your higher and lower time frames in the settings.
Customize Fibonacci levels, line styles, and background visuals for clarity.
Trade Execution:
Use the higher time frame signals to determine directional bias.
Watch for actionable buy/sell signals on the lower time frame:
Enter short trades on red triangle sell signals.
Enter long trades on green triangle buy signals.
Alerts:
Enable alerts for real-time notifications of buy/sell signals on lower time frames and higher time frame directional changes.
Concepts Underlying the Calculations
Engulfing Patterns: Represent key reversals or continuations in price action, making them reliable for defining directional bias on higher time frames.
Fibonacci Retracements: Fibonacci levels are used to identify critical zones for potential price reactions during retracements.
Multi-Timeframe Analysis: Combines the strength of higher time frame trends with the precision of lower time frame signals to enhance trades.
Important Notes
This indicator is best used in conjunction with your existing trading strategy and risk management plan.
It does not repaint signals and ensures clarity by displaying Fibonacci levels only for the most recent signal.
Ideal For:
Swing traders, day traders, and scalpers looking to optimize entries and exits with Fibonacci retracements.
Traders who prefer clean charts with actionable insights and customizable visuals.
Dynamic Signal EngineDynamic Signal Engine
The Dynamic Signal Engine is a powerful and versatile indicator, designed to help traders make informed decisions by combining trend analysis with key support and resistance levels. This tool is inspired by the Linear Regression Oscillator , which laid the foundation for this enhanced implementation. By building on the original concept, this script introduces additional features, customization, and integration with dynamic trading strategies to suit diverse trading styles.
Key Features
Inspiration and Foundation
This indicator draws inspiration from the Linear Regression Oscillator , leveraging its robust trend detection capabilities while adding custom enhancements for broader functionality and user adaptability.
Trading Style Customization
Adaptable for Scalping, Intraday, and Swing Trading with dynamic parameter adjustments for each style.
User-defined inputs for thresholds, lookback periods, and visualization options provide further control.
Enhanced Linear Regression Oscillator (LRO)
A refined implementation of the LRO calculates deviations from a regression line, normalized for improved trend detection.
Identifies bullish and bearish crossovers with added alerts and visual markers.
Includes proximity alerts for critical thresholds to help traders anticipate key market movements.
Dynamic Support and Resistance Integration
Incorporates ENIGMA Signal Logic to identify swing highs and lows, dynamically marking them as fractal support and resistance levels.
When a sell signal from ENIGMA is generated, traders can choose to sell immediately or use the low of the previous candle as the entry point. Similarly, for a buy signal, traders can buy immediately or use the high of the previous candle for entry. These signals are visually indicated by a green triangle for buy signals, ensuring clear and actionable insights.
Advanced Visualization
Displays key levels with customizable horizontal lines (solid, dashed, or dotted) and labels for clarity.
Candle colours and mini arrows highlight trends and potential trading opportunities.
Real-Time Alerts
Alerts for LRO threshold crossings and swing-level breaches keep you updated without the need for constant monitoring.
Optimized for Usability
Designed to keep charts clean by limiting displayed trades and signals to recent activity.
Adjustable parameters ensure flexibility and a user-friendly experience.
How It Works
Trend Detection with Enhanced LRO
The indicator builds on the Linear Regression Oscillator , calculating oscillations of price movements and normalizing them for trend analysis. Crossovers and threshold proximity are visualized on the chart and trigger alerts for potential market shifts.
Dynamic Support and Resistance Levels
The ENIGMA Signal Logic identifies recent swing highs and lows, marking them as key levels. These levels are dynamically updated as new swing points are detected, providing actionable support and resistance zones.
Signal Confirmation
Buy or sell signals are confirmed when:
Price breaches the swing levels.
The LRO aligns with directional bias (e.g., bearish crossover for sell signals).
Signals are further clarified by ENIGMA's green triangle indicators, showing key buy and sell opportunities.
Visualization and Alerts
Signals are displayed using arrows, labelled horizontal lines, and optional candle colours. Alerts notify traders of key events, such as LRO threshold crossings or swing-level breaches.
How to Use
Choose your Trading Style: Scalping, Intraday, or Swing Trading. The indicator adjusts its default settings automatically.
Fine-tune parameters like LRO thresholds, line lengths, and the number of visible trades to suit your preferences.
Observe the chart for signals:
Green arrows and lines indicate buy opportunities.
Red arrows and lines signal sell opportunities.
Use the alert system to stay informed about LRO thresholds and signal confirmations.
Integrate the indicator with your existing trading strategy for better decision-making.
Acknowledgement
This script was inspired by the Linear Regression Oscillator . While it builds on the core concept, this implementation introduces unique enhancements, such as dynamic signal integration, trading style adaptability, and advanced visualization tools, making it a highly customizable and versatile tool for traders.
Disclaimer
This indicator is intended for educational purposes only and should not be considered financial advice. Always perform due diligence and apply appropriate risk management when trading.
IPO Lifecycle Sell Strategy [JARUTIR]IPO Lifecycle Sell Strategy with Dynamic Buy Date and Multiple Sell Rules
This custom TradingView script is designed for traders looking to capitalize on dynamic strategies for IPOs and growth stocks, by implementing several sell rules based on price action and technical indicators. It provides a set of sell rules that are applied dynamically depending on the stock's lifecycle and price action, allowing users to lock in profits and minimize drawdowns based on key technical thresholds.
The four sell strategies incorporated into this script are inspired by the book "The Lifecycle Trade", a resource that focuses on capturing profits while managing risk in different phases of a stock's lifecycle, from IPO to high-growth stages.
Key Features:
Buy Price and Buy Date: You can either manually input your buy price and date or let the script automatically detect the buy date based on the specified buy price.
Multiple Sell Strategies: Choose from 4 predefined sell strategies:
Ascender Rule : Captures strong momentum from IPO stocks by selling portions at specific price levels or technical conditions.
Midterm Rule : Focuses on holding for longer periods, with defensive sell signals triggered when the stock deviates significantly from peak price or key moving averages.
40 Week Rule : Designed for long-term holds, this rule triggers a sell when the stock closes below the 40-week moving average.
Everest Rule : Aggressive strategy for selling into strength based on parabolic moves or gap downs, ideal for high momentum stocks.
Interactive Features:
Horizontal Green Line showing the buy price level from the buy date.
Visual Sell Signals appear only after the buy date to ensure that your analysis is relevant to the stock lifecycle.
Customizable settings, allowing you to choose your preferred sell rule strategy and automate buy date detection.
This script is perfect for traders using a strategic, systematic approach to IPOs and high-growth stocks, whether you're looking for quick exits during momentum phases or holding for longer-term growth.
Usage:
Input your Buy Price and Buy Date, or allow the script to automate the buy date detection.
Select a Sell Rule strategy based on your risk profile and trading style.
View visual signals for selling when specific conditions are met.
Frequently Asked Questions (FAQs):
Q1: How do I input my Buy Price and Buy Date?
The script allows you to either manually input the Buy Price and Buy Date or use the automated detection. If you choose automated detection, the script will automatically assign the buy date when the price crosses above your set Buy Price.
Q2: What is the purpose of the "Sell Rules"?
The script offers four sell strategies to help manage different types of stocks in varying phases of their lifecycle:
Ascender Rule: Targets IPO stocks showing positive momentum.
Midterm Rule: A defensive strategy for stocks in a steady uptrend.
40 Week Rule: Long-term hold strategy designed to ride stocks through extended growth.
Everest Rule: Aggressive strategy to capture profits during parabolic price moves.
Q3: What is the significance of the Green Line at Buy Price?
The Green Line represents your entry point (Buy Price) on the chart. It will appear from the buy date onwards, helping you track the performance of your stock relative to your entry.
Q4: Can I customize the Sell Strategy?
Yes! You can choose from the available Sell Rules (Ascender Rule, Midterm Rule, 40 Week Rule, Everest Rule) via an input option in the script. Each strategy has its own unique triggers based on price action, moving averages, and time-based conditions.
Q5: Does this script work for stocks and crypto?
Yes, this script is designed for both stocks and cryptocurrencies. It works on any asset where price data and timeframes are available.
Q6: How do the Weekly Moving Averages (WSMA) work in this strategy?
The script uses weekly moving averages (WSMA) to track longer-term trends. These are essential for some of the sell rules, such as the Midterm Rule and 40 Week Rule, which rely on the stock's movement relative to the 40-week moving average.
Q7: Will the script plot a Sell Signal immediately after the Buy Date?
No, sell signals will only be plotted after the Buy Date. This ensures that the sell strategy is relevant to your actual holding period and avoids premature triggers.
Q8: How do I interpret the Sell Signal?
The script will plot a Red Sell Signal above the bar when the sell conditions are met, based on the selected strategy. This indicates that it may be a good time to exit the position according to your chosen rule.
Q9: Can I use this strategy on different timeframes?
Yes, you can apply the script to any timeframe. However, some sell strategies, like the Midterm Rule and 40 Week Rule, are designed to work best with weekly data, so it's recommended to use these strategies with longer timeframes.
Q10: Does this script have any alerts?
Yes! The script supports alert conditions that will notify you when the sell conditions are met according to your selected rule. You can set up alerts to stay informed without needing to watch the chart constantly.
Q11: What if I want to disable some of the sell rules?
You can select your preferred sell rule using the "Select Sell Rule" dropdown. If you don’t want to use a particular rule, simply choose a different strategy or leave it inactive.
------------------------------
Disclaimer:
This strategy is intended for educational purposes only. It should not be considered financial advice. Always perform your own research and consult with a professional before making any trading decisions. Trading involves significant risk, and you should never trade with money you cannot afford to lose.
RSI and Bollinger Bands Screener [deepakks444]Indicator Overview
The indicator is designed to help traders identify potential long signals by combining the Relative Strength Index (RSI) and Bollinger Bands across multiple timeframes. This combination allows traders to leverage the strengths of both indicators to make more informed trading decisions.
Understanding RSI
What is RSI?
The Relative Strength Index (RSI) is a momentum oscillator that measures the speed and change of price movements. Developed by J. Welles Wilder Jr. for stocks and forex trading, the RSI is primarily used to identify overbought or oversold conditions in an asset.
How RSI Works:
Calculation: The RSI is calculated using the average gains and losses over a specified period, typically 14 periods.
Range: The RSI oscillates between 0 and 100.
Interpretation:
Key Features of RSI:
Momentum Indicator: RSI helps identify the momentum of price movements.
Divergences: RSI can show divergences, where the price makes a higher high, but the RSI makes a lower high, indicating potential reversals.
Trend Identification: RSI can also help identify trends. In an uptrend, the RSI tends to stay above 50, and in a downtrend, it tends to stay below 50.
Understanding Bollinger Bands
What is Bollinger Bands?
Bollinger Bands are a type of trading band or envelope plotted two standard deviations (positively and negatively) away from a simple moving average (SMA) of a price. Developed by financial analyst John Bollinger, Bollinger Bands consist of three lines:
Upper Band: SMA + (Standard Deviation × Multiplier)
Middle Band (Basis): SMA
Lower Band: SMA - (Standard Deviation × Multiplier)
How Bollinger Bands Work:
Volatility Measure: Bollinger Bands measure the volatility of the market. When the bands are wide, it indicates high volatility, and when the bands are narrow, it indicates low volatility.
Price Movement: The price tends to revert to the mean (middle band) after touching the upper or lower bands.
Support and Resistance: The upper and lower bands can act as dynamic support and resistance levels.
Key Features of Bollinger Bands:
Volatility Indicator: Bollinger Bands help traders understand the volatility of the market.
Mean Reversion: Prices tend to revert to the mean (middle band) after touching the bands.
Squeeze: A Bollinger Band Squeeze occurs when the bands narrow significantly, indicating low volatility and a potential breakout.
Combining RSI and Bollinger Bands
Strategy Overview:
The strategy aims to identify potential long signals by combining RSI and Bollinger Bands across multiple timeframes. The key conditions are:
RSI Crossing Above 60: The RSI should cross above 60 on the 15-minute timeframe.
RSI Above 60 on Higher Timeframes: The RSI should already be above 60 on the hourly and daily timeframes.
Price Above 20MA or Walking on Upper Bollinger Band: The price should be above the 20-period moving average of the Bollinger Bands or walking on the upper Bollinger Band.
Strategy Details:
RSI Calculation:
Calculate the RSI for the 15-minute, 1-hour, and 1-day timeframes.
Check if the RSI crosses above 60 on the 15-minute timeframe.
Ensure the RSI is above 60 on the 1-hour and 1-day timeframes.
Bollinger Bands Calculation:
Calculate the Bollinger Bands using a 20-period moving average and 2 standard deviations.
Check if the price is above the 20-period moving average or walking on the upper Bollinger Band.
Entry and Exit Signals:
Long Signal: When all the above conditions are met, consider a long entry.
Exit: Exit the trade when the price crosses below the 20-period moving average or the stop-loss is hit.
Example Usage
Setup:
Add the indicator to your TradingView chart.
Configure the inputs as per your requirements.
Monitoring:
Look for the long signal on the chart.
Ensure that the RSI is above 60 on the 15-minute, 1-hour, and 1-day timeframes.
Check that the price is above the 20-period moving average or walking on the upper Bollinger Band.
Trading:
Enter a long position when the criteria are met.
Set a stop-loss below the low of the recent 15-minute candle or based on your risk management rules.
Monitor the trade and exit when the RSI returns below 60 on any of the timeframes or when the price crosses below the 20-period moving average.
House Rules Compliance
No Financial Advice: This strategy is for educational purposes only and should not be construed as financial advice.
Risk Management: Always use proper risk management techniques, including stop-loss orders and position sizing.
Past Performance: Past performance is not indicative of future results. Always conduct your own research and analysis.
TradingView Guidelines: Ensure that any shared scripts or strategies comply with TradingView's terms of service and community guidelines.
Conclusion
This strategy combines RSI and Bollinger Bands across multiple timeframes to identify potential long signals. By ensuring that the RSI is above 60 on higher timeframes and that the price is above the 20-period moving average or walking on the upper Bollinger Band, traders can make more informed decisions. Always remember to conduct thorough research and use proper risk management techniques.
Candlestick Strength and Volatility ReadoutDisplays a readout on the top right corner of the screen displaying a two basic calculations (volatility and strength; i.e. candlestick size and how close to the highs or lows it closed) for more convenient candlestick (price action) analysis.
Due to restrictions with Pine Script (or my knowledge thereof) only the current and previous candlestick data is shown, rather than the one currently hovered over.
The data is derived via two simple calculations; volatility being division between the range of the candlestick's high and low by the ATR; 'strength' (what I like to call it) being the range of the body by the range of the open to high or low, depending on the facing direction (positive or negative candlestick). These are expressed as percentages and will turn green depending on the set threshold.
Using this, one can effectively automate calculations you'd have to do by hand otherwise. I personally use these as entry filters in my trading, so it helps to not have to measure, remeasure, and divide before each potential entry.
Settings are implemented to change certain variables to your liking.
PSP Indicator [Elbaz]Precision Swing Point or PSP is a unique technical analysis tool designed to compare the price action of three tickers that are in sync.
It highlights moments when the price structure diverges between the markets, identifying ideal entry points for trades - We would like to enter a trade when we found PSP and one of the tickers took the wick while others didn't.
This strategy provides an edge by focusing on periods of desynchronization between the indices, where one index may be showing strength while another is lagging. The idea is to find the moments where the candle colors (bullish or bearish) differ across the markets, then wait for one of the tickers to "take" the wick of the PSP while other didn't and enter a trade.
Once a divergence is detected, the indicator plots an arrow on the chart, signaling a potential trade entry. To minimize risk, a good place to put stop loss will at the end of the wick of the PSP — the high or low wick of the candle where the divergence occurs.
The PSP Indicator allows for several custom inputs:
- Tickers: Customize the tickers to compare. The default values are S&P 500 E-mini, NASDAQ E-mini, and Dow Jones E-mini, if you trade Crypto you might want to use BTC, ETH, TOTAL3.
- Lookback Period: The lookback input defines how far back the indicator should evaluate to calculate the price structure point.
- Highlight Bar Times: Users can specify particular times during the trading day to highlight, such as the market open or significant news events. This helps traders focus on key trading windows.
Silver Bullet ICT Strategy [TradingFinder] 10-11 AM NY Time +FVG🔵 Introduction
The ICT Silver Bullet trading strategy is a precise, time-based algorithmic approach that relies on Fair Value Gaps and Liquidity to identify high-probability trade setups. The strategy primarily focuses on the New York AM Session from 10:00 AM to 11:00 AM, leveraging heightened market activity within this critical window to capture short-term trading opportunities.
As an intraday strategy, it is most effective on lower timeframes, with ICT recommending a 15-minute chart or lower. While experienced traders often utilize 1-minute to 5-minute charts, beginners may find the 1-minute timeframe more manageable for applying this strategy.
This approach specifically targets quick trades, designed to take advantage of market movements within tight one-hour windows. By narrowing its focus, the Silver Bullet offers a streamlined and efficient method for traders to capitalize on liquidity shifts and price imbalances with precision.
In the fast-paced world of forex trading, the ability to identify market manipulation and false price movements is crucial for traders aiming to stay ahead of the curve. The Silver Bullet Indicator simplifies this process by integrating ICT principles such as liquidity traps, Order Blocks, and Fair Value Gaps (FVG).
These concepts form the foundation of a tool designed to mimic the strategies of institutional players, empowering traders to align their trades with the "smart money." By transforming complex market dynamics into actionable insights, the Silver Bullet Indicator provides a powerful framework for short-term trading success
Silver Bullet Bullish Setup :
Silver Bullet Bearish Setup :
🔵 How to Use
The Silver Bullet Indicator is a specialized tool that operates within the critical time windows of 9:00-10:00 and 10:00-11:00 in the forex market. Its design incorporates key principles from ICT (Inner Circle Trader) methodology, focusing on concepts such as liquidity traps, CISD Levels, Order Blocks, and Fair Value Gaps (FVG) to provide precise and actionable trade setups.
🟣 Bullish Setup
In a bullish setup, the indicator starts by marking the high and low of the session, serving as critical reference points for liquidity. A typical sequence involves a liquidity grab below the low, where the price manipulates retail traders into selling positions by breaching a key support level.
This movement is often orchestrated by smart money to accumulate buy orders. Following this liquidity grab, a market structure shift (MSS) occurs, signaled by the price breaking the CISD Level—a confirmation of bullish intent. The indicator then highlights an Order Block near the CISD Level, representing the zone where institutional buying is concentrated.
Additionally, it identifies a Fair Value Gap, which acts as a high-probability area for price retracement and trade entry. Traders can confidently take long positions when the price revisits these zones, targeting the next significant liquidity pool or resistance level.
Bullish Setup in CAPITALCOM:US100 :
🟣 Bearish Setup
Conversely, in a bearish setup, the price manipulates liquidity by creating a false breakout above the high of the session. This move entices retail traders into long positions, allowing institutional players to enter sell orders.
Once the price reverses direction and breaches the CISD Level to the downside, a change of character (CHOCH) becomes evident, confirming a bearish market structure. The indicator highlights an Order Block near this level, indicating the origin of the institutional sell orders, along with an associated FVG, which represents an imbalance zone likely to be revisited before the price continues downward.
By entering short positions when the price retraces to these levels, traders align their strategies with the anticipated continuation of bearish momentum, targeting nearby liquidity voids or support zones.
Bearish Setup in OANDA:XAUUSD :
🔵 Settings
Refine Order Block : Enables finer adjustments to Order Block levels for more accurate price responses.
Mitigation Level OB : Allows users to set specific reaction points within an Order Block, including: Proximal: Closest level to the current price. 50% OB: Midpoint of the Order Block. Distal: Farthest level from the current price.
FVG Filter : The Judas Swing indicator includes a filter for Fair Value Gap (FVG), allowing different filtering based on FVG width: FVG Filter Type: Can be set to "Very Aggressive," "Aggressive," "Defensive," or "Very Defensive." Higher defensiveness narrows the FVG width, focusing on narrower gaps.
Mitigation Level FVG : Like the Order Block, you can set price reaction levels for FVG with options such as Proximal, 50% OB, and Distal.
CISD : The Bar Back Check option enables traders to specify the number of past candles checked for identifying the CISD Level, enhancing CISD Level accuracy on the chart.
🔵 Conclusion
The Silver Bullet Indicator is a cutting-edge tool designed specifically for forex traders who aim to leverage market dynamics during critical liquidity windows. By focusing on the highly active 9:00-10:00 and 10:00-11:00 timeframes, the indicator simplifies complex market concepts such as liquidity traps, Order Blocks, Fair Value Gaps (FVG), and CISD Levels, transforming them into actionable insights.
What sets the Silver Bullet Indicator apart is its precision in detecting false breakouts and market structure shifts (MSS), enabling traders to align their strategies with institutional activity. The visual clarity of its signals, including color-coded zones and directional arrows, ensures that both novice and experienced traders can easily interpret and apply its findings in real-time.
By integrating ICT principles, the indicator empowers traders to identify high-probability entry and exit points, minimize risk, and optimize trade execution. Whether you are capturing short-term price movements or navigating complex market conditions, the Silver Bullet Indicator offers a robust framework to enhance your trading performance.
Ultimately, this tool is more than just an indicator; it is a strategic ally for traders who seek to decode the movements of smart money and capitalize on institutional strategies. With the Silver Bullet Indicator, traders can approach the market with greater confidence, precision, and profitability.
Scalp System# Scalp System
A premium scalping system designed specifically for 2-minute charts, combining multiple timeframe analysis with trend-based trading decisions. This indicator helps identify high-probability scalping opportunities through color-coded moving averages and their crossovers.
## Strategy Overview
### Entry Signals
- ONLY trade LONG when price is above RED line
- ONLY trade SHORT when price is below RED line
- Primary entry: BLUE/GREEN crosses
- Strong trend confirmation: YELLOW/PURPLE crosses
### Best Practices
1. Trade with the trend (follow RED line direction)
2. Wait for price pullbacks of faster lines
3. Combine crosses with support/resistance levels
4. Use smaller targets
5. Quick exits on failed breakouts
6. Monitor volume for confirmation
### Color Guide
- YELLOW: Fast trend identifier
- BLUE: Very short-term momentum (1min)
- GREEN: Short-term momentum (3min)
- RED: Trend filter
- PURPLE: Strong trend baseline
### Risk Management
- Place stops beyond the RED line
- Scale out at key levels
- Use 1:1.5 minimum risk/reward
- Avoid trading during major news
- Reduce position size in choppy markets
### Best Trading Hours
- Most effective during first 2 hours after market open
- Good opportunities during power hour (last hour)
- Avoid lunch hour chop (11:30-1:30 EST)
## Tips
- Less is more - wait for clean setups
- Respect the RED line as your trend filter
- Multiple timeframe confirmation increases success rate
- Use crosses as triggers, not absolute signals
- Practice in simulator before live trading
Easy CotHow to Use the Commitment of Traders (COT) Report for Market Analysis
The Commitment of Traders (COT) report is a weekly publication by the Commodity Futures Trading Commission (CFTC) that breaks down the open interest in various futures markets. It categorizes traders into three main groups: Commercials, Non-Commercials, and Retail Traders (Non-Reportable positions). Understanding and analyzing the COT report can provide insights into market sentiment and potential reversals, especially in commodity, currency, and stock index futures.
Key Components of the COT Report
Commercials (Hedgers)
These are entities involved in the production or consumption of the underlying asset. For example, oil producers might hedge by selling oil futures to lock in prices, while airlines might buy futures to hedge against rising prices.
Commercials typically act as hedgers, so their positions can indicate the need for protection rather than speculative intent. Because they are less price-sensitive, their positions are usually opposite to the trend near market reversals.
Non-Commercials (Large Speculators)
This group includes hedge funds, asset managers, and large traders who take speculative positions to profit from price movements.
Non-Commercials are often trend-followers, meaning they increase long positions in an uptrend and short positions in a downtrend. When Non-Commercials become extremely bullish or bearish, it may signal a potential market reversal.
Retail Traders (Non-Reportable Positions)
These are smaller individual traders whose positions are too small to be reported individually.
Retail traders tend to be less experienced and are often on the wrong side of major market moves, so extreme positions by retail traders can sometimes signal a market turning point.
How to Interpret the COT Data
1. Identify Extreme Positions
Extreme Long or Short Positions: When a group reaches a historically extreme level of long or short positions, it often signals a potential reversal. For instance, if Non-Commercials are overwhelmingly long, it may indicate that the uptrend is overextended, and a reversal could be near.
Contrarian Indicator: Since Retail Traders are often on the wrong side, you may look for signals where they are extremely long or short, indicating a possible reversal in the opposite direction.
2. Look for Divergences
Divergence Between Groups: If Non-Commercials (speculators) and Retail Traders are moving in opposite directions, it could indicate that a trend is losing momentum and a reversal is possible.
Commercials vs. Non-Commercials: Commercials are often positioned opposite to Non-Commercials. If there’s a divergence where Non-Commercials are highly bullish, but Commercials are increasingly bearish, it might suggest a coming reversal.
3. Trend Confirmation and Reversal Signals
Trend Confirmation: If both Non-Commercials and Retail Traders are aligned in one direction, it might confirm the trend. However, keep in mind that such alignment may signal the later stages of a trend.
Reversal Signals: Look for signs when Non-Commercials are reaching a peak in one direction while Retail Traders peak in the opposite. Such situations can often indicate that the current trend is close to exhaustion.
Using the COT Report in Trading Strategies
Contrarian Trading Strategy
Extreme Positions as Reversal Signals: Use COT data to identify extreme positions. For instance, if Non-Commercials have a very high long position in a commodity, it might suggest that a bullish trend is overextended and a bearish reversal could be near.
Retail Trader Extremes: If Retail Traders are heavily long or short, consider taking the opposite position once you have additional confirmation signals (e.g., technical indicators).
Following the Trend with Large Speculators
Non-Commercials tend to be trend-followers, so if you see them increasingly long (or short) on an asset, it could be a signal to follow the trend until extreme levels are reached.
Using Divergences for Entry and Exit Points
Entry: If Non-Commercials are long, but Retail Traders are heavily short, consider entering a long position as it may confirm the trend.
Exit: If Non-Commercials begin to reduce their positions while Retail Traders increase theirs, it might be time to consider exiting, as the trend could be losing momentum.
VOLUME DIRECTION INDICATORDesigned for the 1-hour chart, this indicator shows:
Green Line: Volume when price rises, suggesting buying.
Red Line: Volume when price falls, indicating selling.
How to Use:
Watch for Crossover: When the Green Line moves above the Red, it might signal a budding uptrend.
Check Retracement: If the Green Line pulls back but stays above the Red, the uptrend could be strengthening.
Price Check: Look for a small price drop but not a reversal.
Trade Entry:
Enter at the high of the retracement candle.
Or wait for the Green Line to rise again.
For Precision: Draw a line at the retracement peak and switch to a shorter timeframe to find entry patterns above this line.
Remember: Use this with other tools for better trading decisions.
The Volume Direction Indicator provides a visual representation of market activity by assuming volume can be attributed to buying or selling based on price action within each bar. When the price closes higher than it opened, the volume for that period is considered as 'Bought Shares', plotted in green. Conversely, if the price closes lower, the volume is treated as 'Sold Shares', shown in red. This indicator resets daily to give a fresh perspective on trading activity each day.
Key Features:
Buying Pressure: Green line represents the cumulative volume during periods where the price increased.
Selling Pressure: Red line indicates the cumulative volume during price decreases.
Daily Reset: Accumulated values reset at the start of each new trading day, focusing on daily market sentiment.
Note: This indicator simplifies market dynamics by linking volume directly to price changes. It does not account for complex trading scenarios like short selling or market manipulations. Use this indicator as a tool to gauge general market direction and activity, not for precise transaction data.
Confluence StrategyOverview of Confluence Strategy
The Confluence Strategy in trading refers to the combination of multiple technical indicators, support/resistance levels, and chart patterns to identify high-probability trading opportunities. The idea is that when several indicators agree on a price movement, the likelihood of that movement being successful increases.
Key Components
Technical Indicators:
Moving Averages (MA): Commonly used to determine the trend direction. Look for crossovers (e.g., the 50-day MA crossing above the 200-day MA).
Relative Strength Index (RSI): Helps identify overbought or oversold conditions. A reading above 70 may indicate overbought conditions, while below 30 suggests oversold.
MACD (Moving Average Convergence Divergence): Useful for spotting changes in momentum. Look for MACD crossovers and divergence from price.
Support and Resistance Levels:
Identify key levels where price has historically reversed. These can be drawn from previous highs/lows, Fibonacci retracement levels, or psychological price levels.
Chart Patterns:
Patterns like head and shoulders, double tops/bottoms, or flags can indicate potential reversals or continuations in price.
Strategy Implementation
Set Up Your Chart:
Add the desired indicators (e.g., MA, RSI, MACD) to your TradingView chart.
Mark significant support and resistance levels.
Identify Confluence Points:
Look for situations where multiple indicators align. For instance, if the price is near a support level, the RSI is below 30, and the MACD shows bullish divergence, this may signal a buying opportunity.
Entry and Exit Points:
Entry: Place a trade when your confluence conditions are met. Use limit orders for better prices.
Exit: Set profit targets based on resistance levels or use trailing stops. Consider the risk-reward ratio to ensure your trades are favorable.
Risk Management:
Always implement stop-loss orders to protect against unexpected market moves. Position size should reflect your risk tolerance.
Example of a Confluence Trade
Setup:
Price approaches a strong support level.
RSI shows oversold conditions (below 30).
The 50-day MA is about to cross above the 200-day MA (bullish crossover).
Action:
Enter a long position as the conditions align.
Set a stop loss just below the support level and a take profit at the next resistance level.
Conclusion
The Confluence Strategy can significantly enhance trading accuracy by ensuring that multiple indicators support a trade decision. Traders on TradingView can customize their indicators and charts to fit their personal trading styles, making it a flexible approach to technical analysis.
Comprehensive Market Overview1. What is this indicator about?
The "Comprehensive Market Overview" indicator provides a holistic view of the market by incorporating several key metrics:
Close Price: Displays the current close price below each candle.
Percent from All-Time High: Calculates how far the current close price is from the highest high observed over a specified period.
RSI (Relative Strength Index): Measures the momentum of price movements to assess whether a stock is overbought or oversold.
Volume Gain: Computes the current volume relative to its 20-period simple moving average (SMA), indicating volume strength or weakness.
Volatility: Quantifies market volatility by calculating the ratio of the Bollinger Bands' width (difference between upper and lower bands) to the SMA.
2. How it works?
Close Price Label: This label is displayed below each bar, showing the current close price.
Percent from All-Time High: Calculates the percentage difference between the highest high observed (all-time high) and the current close price.
RSI Calculation: Computes the RSI using a 14-period setting, providing insight into whether a stock is potentially overbought or oversold.
Volume Strength: Computes the current volume divided by its 20-period SMA, indicating whether volume is above or below average.
Volatility Calculation: Calculates the width of the Bollinger Bands (based on a 20-period SMA and 2 standard deviations) and expresses it as a percentage of the SMA, providing a measure of market volatility
3.Correct Trend Identification with Indicators
All-Time High (ATH) Levels:
Low Value (Near ATH): When the percent from ATH is low (close to 0%), it indicates that the current price is near the all-time high zone. This suggests strong bullish momentum and potential resistance levels.
High Value (Below ATH): A high percentage from ATH indicates how much the current price is below the all-time high. This could signal potential support levels or opportunities for price recovery towards previous highs.
RSI (Relative Strength Index):
Overbought (High RSI): RSI values above 70 typically indicate that the asset is overbought, suggesting a potential reversal or correction in price.
Oversold (Low RSI): RSI values below 30 indicate oversold conditions, suggesting a potential rebound or price increase.
Swing Trading Strategies
Confirmation with Visual Analysis: Visualizing the chart to confirm ATH levels and RSI readings can provide strong indications of market sentiment and potential trading opportunities:
Bullish Signals: Look for prices near ATH with RSI confirming strength (not yet overbought), indicating potential continuation or breakout.
Bearish Signals: Prices significantly below ATH with RSI showing weakness (not yet oversold), indicating potential for a bounce or reversal.
Volume Confirmation: Comparing current volume to its SMA helps confirm the strength of price movements. Higher current volume relative to the SMA suggests strong price action.
Volatility Assessment: Monitoring volatility through the Bollinger Bands' width ratio helps assess potential price swings. Narrow bands suggest low volatility, while wide bands indicate higher volatility and potential trading opportunities.
4.Entry and Exit Points:
Entry: Consider entering long positions near support levels when prices are below ATH and RSI is oversold. Conversely, enter short positions near resistance levels when prices are near ATH and RSI is overbought.
Exit: Exit long positions near resistance or ATH levels when prices show signs of resistance or RSI becomes overbought. Exit short positions near support levels or when prices rebound from oversold conditions.
Risk Management: Always incorporate risk management techniques such as setting stop-loss orders based on support and resistance levels identified through ATH and RSI analysis.
Implementation Example
