Vartrend[Robinson0707]in this script I try to make buy and sell system with @LazyBear's variable moving average indicator. you can set your targets and also you can use clouds as TP point. sometimes it giving false signal. be carefull to using that
Phân tích Xu hướng
Cloud TxKO CryptoIchimoku Cloud TK Cross Candle Open Open Crypto
The TK Cross in the Ichimoku Cloud system occurs when the Tenkan-Sen (Conversion Line) crosses the Kijun-Sen (Base Line), signaling momentum shifts or potential trend changes.
Bullish Cross: Tenkan-Sen crosses above Kijun-Sen, indicating upward momentum.
Bearish Cross: Tenkan-Sen crosses below Kijun-Sen, signaling downward momentum.
Signal Strength:
Above the Cloud: Strong signal.
Inside the Cloud: Moderate signal.
Below the Cloud: Weak signal.
The TK Cross is vital for identifying trends and is more effective when combined with other Ichimoku components like the Kumo Cloud and Chikou Span.
weakly dividesThis indicator takes the last weekly candle and divides it into the number the user wants. This is a great strategy.
RSI Moving Average_duongfreedom260903This is the familiar tool RSI, combined with two moving averages, EMA and WMA, to help you clearly determine the trend of a wave, along with helping to determine buying pressure. , selling force exists in the market, thereby helping you be more confident in making the decision to Buy or Sell.
Buy Low over 18 SMA Strategythis is a customizeable strategy to buy on daily chart where you can select after which days you want to buy
with a 1or2 day trailing stop on prior low
the Nasdaq seams to be most profitable when buying above the wednesdays and fridays high
this avoided entries in the bearish move on july 2024
breakeven stops in aug 2023
only small losses in jan/april/sept 2022
all in all a pretty good strategy when exiting below the low of prior two days
MACD DETTAEste indicador é uma versão personalizada do clássico MACD (Moving Average Convergence Divergence), projetado para se ajustar automaticamente às configurações ideais de médias móveis exponenciais (EMAs) e da linha de sinal com base no timeframe do gráfico. Ele combina flexibilidade e automação para simplificar a análise técnica, adaptando-se automaticamente às condições específicas de diferentes períodos.
00 Parabolic SAR Trend Following Signals by RPAlawyerThis code combines the Parabolic SAR with trend-following signals.
Buy signals occur when the price crosses above the SAR (trend change), or during an uptrend with higher lows and bullish candles. Sell signals occur when the price crosses below the SAR (trend change), or during a downtrend with lower highs and bearish candles.
Now, this does not make much sense 😊
The true point of this indicator is to generate a LOT of signals in the direction of the trend and to output numerical signals (-1 for sell, 0 for neutral, +1 for buy) for strategies that accept and interpret such numerical signals. So don't use it as an indicator providing entry and exit points - absolutely not.
Use it in combination with a strategy I published under the name '00 Averaging Down Backtest Strategy by RPAlawyer v21' and you will understand the point 😊
Instructions on how to connect the indicator with the strategy can be found in the description of '00 Averaging Down Backtest Strategy by RPAlawyer v21'
Combined Multi-Timeframe EMA OscillatorThis script aims to visualize the strength of bullish or bearish trends by utilizing a mix of 200 EMA across multiple timeframes. I've observed that when the multi-timeframe 200 EMA ribbon is aligned and expanding, the uptrend usually lasts longer and is safer to enter at a pullback for trend continuation. Similarly, when the bands are expanding in reverse order, the downtrend holds longer, making it easier to sell the pullbacks.
In this script, I apply a purely empirical and experimental method: a) Ranking the position of each of the above EMAs and turning it into an oscillator. b) Taking each 200 EMA on separate timeframes, turning it into a stochastic-like oscillator, and then averaging them to compute an overall stochastic.
To filter a bullish signal, I use the bullish crossover between these two aggregated oscillators (default: yellow and blue on the chart) which also plots a green shadow area on the screen and I look for buy opportunities/ ignore sell opportunities while this signal is bullish. Similarly, a bearish crossover gives us a bearish signal which also plots a red shadow area on the screen and I only look for sell opportunities/ ignore any buy opportunities while this signal is bearish.
Note that directly buying the signal as it prints can lead to suboptimal entries. The idea behind the above is that these crossovers point on average to a stronger trend; however, a trade should be initiated on the pullbacks with confirmation from momentum and volume indicators and in confluence with key areas of support and resistance and risk management should be used in order to protect your position.
Disclaimer: This script does not constitute certified financial advice, the current work is purely experimental, use at your own discretion.
ADX-DMIThis script manually calculates the Directional Movement Index (DMI) and the Average Directional Index (ADX) using Wilder’s smoothing technique. The DMI indicators are used to assess the strength and direction of a market trend. It includes three main lines: ADX (yellow), DI+ (green), and DI− (red). Traders use these indicators to determine whether a trend is strong and in which direction it is moving.
The process begins by defining the length parameter, which determines how many periods are considered in the calculation. It then calculates the True Range (TR), which is the greatest of three values: the difference between the current high and low, the difference between the current high and the previous close, and the difference between the current low and the previous close. This TR is used to compute the Average True Range (ATR), which smooths out price fluctuations to get a clearer picture of the market’s volatility. Next, the script calculates the +DM (positive directional movement) and -DM (negative directional movement) based on the changes in the highs and lows from one period to the next.
Finally, the script computes the DI+ and DI− values by dividing the smoothed +DM and -DM by the ATR and multiplying by 100 to express them as percentages. The DX value is calculated as the absolute difference between DI+ and DI−, normalized by the sum of both values. The ADX is then derived by smoothing the DX value over the specified length. The three indicators — ADX, DI+, and DI− — are plotted in the lower chart panel, providing traders with visual cues about the trend’s direction (DI+ and DI−) and strength (ADX).
Important Notice:
The use of technical indicators like this one does not guarantee profitable results. This indicator should not be used as a standalone analysis tool. It is essential to combine it with other forms of analysis, such as fundamental analysis, risk management strategies, and awareness of current market conditions. Always conduct thorough research.
Note: The effectiveness of any technical indicator can vary based on market conditions and individual trading styles. It's crucial to test indicators thoroughly using historical data before applying them in live trading scenarios.
Disclaimer:
Trading financial instruments involves substantial risk and may not be suitable for all investors. Past performance is not indicative of future results. This indicator is provided for informational and educational purposes only and should not be considered investment advice. Always conduct your own research before making any trading decisions.
Macro+KZ (ICT concepts + HYRDRA macros)
This script will automatically highlight any time based sessions you like.
It will also showcase any macro times on your chart.
Crypto Market Trend Analysis This indicator is a multi-asset market analysis tool that evaluates trends, RSI, and confluence across various assets, providing actionable insights into the current market conditions. It calculates a score and trend signals for multiple assets, including DXY, USDT dominance, BTC, BTC dominance, TOTAL market cap, and specific altcoins like HBAR and its pairings.
Key Features:
Multi-Asset Analysis:
Analyzes multiple metrics such as DXY, BTC, TOTAL market caps, and specific altcoins.
Provides a clear breakdown of trend directions (Bull/Bear), RSI values, and previous conditions for each asset.
Custom Scoring System:
Calculates a score for each asset using a weighted system based on:
Moving averages (37 and 200-period).
RSI thresholds (e.g., >60 for bullish, <40 for bearish).
Relative Volume (RVOL).
ADX values for trend strength.
Bullish and bearish divergences detected using RSI and price.
The score categorizes the trend into five levels:
Strong Bull: High bullish confidence.
Bull: Moderately bullish conditions.
Neutral: Mixed or undecided market state.
Bear: Moderately bearish conditions.
Strong Bear: High bearish confidence.
RSI-Based Trend Insights:
Evaluates whether RSI is trending higher or lower, combining this with price and volume metrics to strengthen trend detection.
Divergence Detection:
Identifies bullish divergences when prices make lower lows while RSI makes higher lows.
Identifies bearish divergences when prices make higher highs while RSI makes lower highs.
Confluence Across Metrics:
Combines individual asset scores to provide a comprehensive view of market sentiment and strength across key assets.
For example:
If BTC and TOTAL both show bullish trends with rising RSI, the market-wide confluence suggests stronger confidence in the bullish scenario.
Visualization:
Displays clear metrics such as trend direction, RSI values, and their corresponding previous states in a visually organized table format.
Color coding (e.g., green for bullish, red for bearish) enhances readability.
AB Market Pulse V2Not financial advice
Green = be aggressive
Blue = take profits
Purple = rotate to cash / hedge
Auto Support/ResistanceThis script is an Auto Support/Resistance indicator for Pine Script. It automatically detects and displays support and resistance levels based on pivot points. The user can configure the lookback period to determine how many bars are considered for identifying pivot highs and lows. The script plots the support (green line), resistance (red line), and a centerline (blue line) on the chart. It also marks pivot points with labels and displays the current values of support, resistance, and the centerline in a table on the chart. This tool helps traders identify key price levels for their trading strategies.
Buy Signal with SMA and Stoch RSIBUY signal when sma 21 is above the 55.
Stochastic rsi is below 20.
The stochastic rsi crosses to form buy signal.
SMA & Stoch RSI Buy Strategy with K > 80 ExitBuy signal using SMA and stoch rsi.
Entry occurs when SMA 21 is above the 55.
Opening trade when stochastic crosses below 20.
Keltner Channel Width PercentileThe Keltner Channel Width Percentile (KCWP) is a volatility-focused indicator designed to measure the relative expansion and contraction of the Keltner Channel bands over time. By calculating the width of the Keltner Channels (difference between the upper and lower bands) and normalizing it as a percentage of the channel's basis, the KCWP provides a dynamic view of market conditions.
This indicator tracks how wide or narrow the Keltner Channel bands are relative to historical observations using a percentile-based approach. When the KCWP value is high (near 100%), it signals that the current channel width is at or near its historical maximum, often indicating heightened volatility or a potential reversal. Conversely, when the KCWP is low (near 0%), it suggests that the channel width is contracting, often preceding periods of reduced volatility or consolidation.
Key Features:
Percentile-Based Volatility Ranking: The KCWP assigns a percentile rank to the current Keltner Channel width, providing a clear, visual representation of where current volatility stands relative to the past.
Customizable Keltner Channels:
Length: Defines the period for the channel’s basis (middle line).
ATR Length: Adjusts the Average True Range (ATR) period used for band calculations.
Bands Style: Choose between Average True Range, True Range, or Range for calculating channel widths.
Dynamic Smoothing Options: Includes multiple moving average types (SMA, EMA, WMA, HMA, RMA, VWMA) and smoothing lengths for refining the raw percentile values, reducing noise while retaining responsiveness.
Visual Indicators:
Gradient coloring for the raw percentile line, transitioning from blue (low values) to green (mid-range) to red (high values), helps quickly assess market conditions.
A smoothed line for clarity and actionable signals.
Signal Zones:
80% High Line: Marks historically wide bands, signaling elevated volatility and potential exhaustion or trend continuation.
20% Low Line: Marks historically narrow bands, signaling calm conditions or consolidation, often before a breakout.
How to Use It:
Trend Continuation or Reversals: High KCWP values (above 80%) may indicate overextended volatility, hinting at possible trend exhaustion or continuation. This is often paired with price action for confirmation.
Breakout Readiness: Low KCWP values (below 20%) suggest tightening price ranges and reduced volatility, signaling potential breakout opportunities.
Complement to Keltner Channels: Use the KCWP alongside traditional Keltner Channels for a complete view of volatility and price behavior.
Customization for Your Trading Style:
The KCWP provides several user-adjustable inputs, including:
Percentile Lookback: Adjust how much historical data is used for ranking.
Smoothing Options: Customize the moving average type and length for the percentile line.
Channel and Band Calculations: Fine-tune the channel’s length, ATR length, and multiplier to match your preferred volatility sensitivity.
The Keltner Channel Width Percentile is a versatile and intuitive tool that helps traders monitor volatility dynamics, anticipate market transitions, and refine entry and exit strategies. Whether you're trading breakouts, trends, or consolidations, the KCWP provides actionable insights into the heartbeat of the market.
DCA Historical References 1.0📈 DCA Historical References 1.0: Supply-Demand/Negative-Positive Zones & Trend Visualization 📊
🔍 Overview:
"DCA Historical References 1.0" is a powerful trading/investing indicator tailored for traders seeking precision in identifying critical market zones, tracking momentum shifts, and projecting future pivot points. By dynamically analyzing supply-demand imbalances, detecting key pivot points, and leveraging historical data, this tool provides actionable insights for navigating market trends across any timeframe.
Whether you’re scalping, swing trading, or investing, this indicator can be usefull to your trading/investing style, highlighting high-probability areas for entries and exits.
✨ Key Features:
1️⃣ Dynamic Zone Analysis:
Extreme Positive Zones: Identify regions where price moves have historically reached their upper limits, indicating potential trend exhaustion or reversal opportunities.
Extreme Negative Zones: Highlight areas where price movements have historically reached their lower extremes, marking potential accumulation points or trend shifts.
These zones are dynamically calculated based on historical price behavior and advanced statistical techniques.
They evolve with live market conditions, offering real-time insights into potential turning points while maintaining consistency across multiple timeframes.
2️⃣ Advanced Pivot Analysis with Projections:
Tracks Higher Highs (HH), Lower Lows (LL), Lower Highs (LH), and Higher Lows (HL) to map market trends and reversals.
Uses historical probabilities to assess the significance of pivots and predict future price behavior.
Next Pivot Projections: Anticipates future pivot levels based on historical averages for:
Price Ratios: Calculated from prior pivot movements.
Bar Counts: Estimations of the timeframe for the next pivot.
This system provides a clear framework for understanding trend direction, potential reversals, and high-probability opportunities.
3️⃣ Daily High/Low Reference Lines:
Automatically plots daily high and low lines, extended forward for actionable insights.
Includes labeled markers (D/H and D/L) for quick reference to key intraday price levels.
These lines align trades with important supply-demand zones, enabling more precise decision-making.
4️⃣ Momentum Visualization with Dynamic Candle Coloring:
Green Candles: Indicate strong upward momentum driven by demand.
Red Candles: Reflect downward momentum fueled by supply dominance.
Yellow Candles: Highlight potential trend reversals as momentum stabilizes.
Aqua Candles: Mark weakening trends or consolidation phases.
This intuitive feedback simplifies market conditions, helping traders act with confidence.
5️⃣ Timeframe-Specific Scaling:
Automatically adjusts calculations to match the selected timeframe:
Daily Charts: Capture intraday dynamics for precision trading/investing.
Weekly Charts: Highlight medium-term trends for swing strategies.
Monthly Charts: Focus on long-term market behavior for investors.
This feature ensures relevant and accurate analysis for any trading/investing style.
6️⃣ Persistent Historical Context for Deeper Insights:
Retains lines and labels for extreme zones and pivots (S/P, E/P, S/N, E/N), preserving historical context for strategic planning.
Tracks historical averages for pivot points, including price ratios and bar counts, aiding in next pivot projections.
🌊 Part of the DCA Suite:
"DCA Historical References 1.0" integrates seamlessly with:
DCA Alpha 1.0 Strategy: Enhances market insights by sharing the same dynamic zone analysis, enabling precise trend confirmation.
DCA Fundamentals 1.0: Complements this indicator by adding foundational market insights, creating a holistic framework for informed decision-making.
Together, these tools form a comprehensive trading/investing system, enabling you to analyze and act with clarity.
🌟 Why It’s Unique:
"DCA Historical References 1.0" introduces a new dimension of market analysis:
Dynamic Zone Analysis: Highlights critical supply-demand/support-resistance/negative-positive zone imbalances in real-time.
Actionable Pivot Insights: Tracks and visualizes key market turning points with statistical reliability, while projecting potential future pivot zones.
Versatility: Adapts seamlessly across all timeframes, making it suitable for any trading/investing strategy.
🛠️ How to Use:
Spot Imbalances: Use extreme positive and negative zones to pinpoint areas of interest.
Confirm Trends and Reversals: Leverage pivot detection and projections to align trades with market movements.
Visualize Momentum: Rely on dynamic candle colors for instant sentiment analysis.
Plan Entries and Exits: Utilize daily high/low levels and historical context for precise trade execution.
💡 Why Traders Choose This Tool:
Clear and Intuitive Visuals: Simplifies complex market dynamics with actionable insights.
Reliable Analysis: Combines real-time adjustments with historical context to provide a robust analysis framework.
Timeframe Adaptability: Works seamlessly across all chart intervals, adapting to short-term volatility and long-term trends alike.
"DCA Historical References 1.0" delivers unparalleled clarity and precision by combining supply-demand/support-resistance/negative-positive zone analysis, pivot tracking with projections, and momentum visualization into one comprehensive tool. Whether you’re a beginner or a seasoned professional, this indicator empowers you to make informed and confident trading/investing decisions.
BTCUSDT 4h Chart - Supertrend [CYRANO]This strategy uses the Supertrend indicator to generate buy and sell signals based on trend direction. It is specifically designed for the BTC/USDT pair on a 4-hour chart. Here's a detailed breakdown of its components and functionality:
Key Features:
Supertrend Indicator:
Uses the Average True Range (ATR) to calculate dynamic support and resistance levels.
Generates an uptrend (green) or downtrend (red) signal based on price action:
Uptrend (green): When the price is above the Supertrend level.
Downtrend (red): When the price is below the Supertrend level.
Date Range Filter:
Allows users to specify a backtesting period using Start Date and End Date.
All trades are executed only within this date range.
If the current date is outside the range, the strategy closes all open positions.
Trade Logic:
Buy Signal: Enter a long position when the trend changes to green (uptrend).
Sell Signal: Exit the long position when the trend changes to red (downtrend).
Visualizations:
Plots the Supertrend line for both uptrend and downtrend scenarios.
Fills the area between the Supertrend line and the midpoint of the candle body for visual clarity:
Green Fill: Indicates an uptrend.
Red Fill: Indicates a downtrend.
Alerts:
Alerts are set up for:
Uptrend (green).
Downtrend (red).
Trend changes (switch between uptrend and downtrend).
Strategy Settings:
Uses 100% of equity for each trade.
Configures a commission of 0.1% and slippage of 3.
Indicator Inputs:
ATR Length:
Default: 10.
Determines the number of bars used to calculate the Average True Range.
Factor:
Default: 3.0.
Multiplier used to calculate the Supertrend levels above and below the price.
Start and End Date:
Default: 1st January 2018 to 31st December 2069.
Controls the date range for backtesting.
Execution Logic:
Entry Conditions: A long position is entered when the trend is green (uptrend).
Exit Conditions: The long position is closed when the trend turns red (downtrend).
Strengths:
Simplicity: The strategy is straightforward and easy to understand, relying solely on trend direction from the Supertrend indicator.
Visual Clarity: The plots and filled areas make it easy to interpret market trends at a glance.
Customizable: Inputs allow users to adjust the ATR length and factor to fit their trading style and market conditions.
Limitations:
No Short Trades: The strategy only supports long trades and does not enter short positions.
Whipsaw Risk: In ranging markets, frequent trend changes may lead to false signals and losses.
No Risk Management: Does not include stop-loss or take-profit levels, relying entirely on trend changes for exits.
Use Case:
This strategy is ideal for trend-following traders who want a clean and visual approach to identifying market trends. Its focus on simplicity and robust indicator logic makes it suitable for volatile instruments like BTC/USDT on higher timeframes. However, traders may need to incorporate additional risk management techniques or complementary indicators for enhanced performance.
Berserker Dynamic Range CAPITALCOM:US30
"BERSERKER DYNAMIC RANGE"
This advanced script is designed to optimize intraday analysis by providing a precise and dynamic visualization of price ranges during key market sessions, such as New York and London. By integrating fundamental tools from my strategy, such as the Gaussian Moving Average (GMA) and the Structure Tracker, this script offers a structured way to identify trends, consolidations, and market expansions, enabling informed decision-making. Through a clear representation of liquidity zones and key levels, the trader can more efficiently adjust their approach to capture opportunities within the most liquid and high-volatility sessions.
Main Features:
1. Dynamic Session Range Visualization:
This script plots the price ranges for the New York (0930-1130) and London (0100-0600) sessions, with flexible options to customize session timings according to the trader's needs.
Customizable session ranges: Each session is represented with a box showing the price range between the session's high and low. The colors and transparency of these ranges are fully configurable, allowing the trader to tailor them to their strategy.
Visual dividers between sessions and days are automatically added, making it easy to clearly differentiate between the different stages of the trading day, helping in planning trades based on session transitions.
2. Gaussian Moving Average (GMA):
The long-period GMA is included to offer a smoothed view of price action. Its main function is to detect long-term trends, identifying consolidation or expansion areas in the market.
GMA application: This indicator serves as a key reference for traders seeking dynamic support and resistance points, with a strong focus on aligning prices with the underlying trend.
The GMA is fully adjustable in terms of length, allowing traders to customize the moving average to better suit the specific behavior of the asset.
3. Market Structure Tracker:
The Structure Tracker is a critical tool for understanding market dynamics. This tracker marks and follows highs and lows during sessions, making it easier to identify the market structure in real-time.
Dynamic structure: Through the tracker, the trader can see how price ranges develop within the sessions and adjust their strategy according to price evolution. Changes in structure can indicate possible reversal or continuation points, providing an advantage in anticipating key moves.
4. Advanced Technical Indicators:
The script includes a set of key technical indicators for deeper analysis: EMAs of 15, 50, and 200 periods, along with a VWMA (Volume Weighted Moving Average) of 250 periods. These indicators provide an integrated view of market trends across short, medium, and long-term timeframes.
The VWMA and EMAs work synergistically to provide more accurate entry and exit signals, enhancing the reliability of trading decisions.
5. Flexible and Customizable Settings:
The trader has full control over the visual elements of the script, including range area transparency, session contour visualization, and the inclusion of session labels.
Dividers between sessions and days provide a clear temporal framework, helping to organize trades and align trading activity with the specific fluctuations of each session.
With a variety of customization options, the trader can fully adjust the appearance of the chart to fit their visual preferences, creating a more intuitive analysis experience.
Key Benefits of the Script:
Trading Strategy Optimization: By integrating the New York and London sessions, the trader can focus on the most relevant ranges and make more informed decisions based on key session activity.
Trend and Reversal Analysis: With the use of the GMA and Structure Tracker, the trader can identify consolidation or expansion zones, support/resistance points, and the overall market structure, facilitating the recognition of potential price reversals.
Total Customization: With options to modify colors, transparency, and session range visualization, this script adapts to any trading style, offering a fully tailored experience for the user.
This script is designed for serious traders seeking to gain a competitive edge through a clear and precise market view. With advanced tools like the GMA and Structure Tracker, combined with a customizable session range system, it becomes a powerful tool for executing high-quality intraday trading strategies.
Acknowledgments: This work has been inspired and enhanced with some ideas and public code from LuxAlgo, whose contributions have been valuable in optimizing this script.
CandelaCharts - Imbalance Concepts 📝 Overview
Imbalance Concepts is an advanced toolkit rooted in ICT (Inner Circle Trader) principles, specifically designed to identify and highlight critical areas of support and resistance within financial markets. This toolkit focuses on detecting market imbalances that can indicate potential turning points or high-probability zones for price action.
The key components of the toolkit include:
Fair Value Gaps (FVG)
Inversion Fair Value Gaps (IFVG)
Balanced Price Range (BPR)
Volume Imbalances (VI)
Opening Gaps (OG)
The toolkit automatically detects these imbalances and visually marks them on charts, allowing traders to quickly identify key zones for analysis. This enables more informed decision-making, as these imbalances often signal the potential for major market shifts, reversals, or continuation patterns.
By integrating Imbalance Concepts, traders can focus on critical price areas that have a high likelihood of influencing future price action.
📦 Features
The Imbalance Concepts toolkit provides a robust set of features aimed at improving trading accuracy and decision-making. Key features include:
MTF
Mitigation
Consequent Encroachment
Threshold
Hide Overlap
Advanced Styling
⚙️ Settings
Show: Controls whether Imbalances are displayed on the chart.
Show Last: Sets the number of Imbalances you want to display.
Length: Determines the length of each Imbalance.
Mitigation: Highlights when an Imbalance has been touched, using a different color without marking it as invalid.
Timeframe: Specifies the timeframe used to detect Imbalances.
Threshold: Sets the minimum gap size required for Imbalance detection on the chart.
Show Mid-Line: Configures the midpoint line's width and style within the Imbalance. (Consequent Encroachment - CE)
Show Border: Defines the border width and line style of the Imbalance.
Hide Overlap: Removes overlapping Imbalances from view.
Extend: Extends the Imbalance length to the current candle.
Elongate: Fully extend the Imbalance length to the right side of the chart.
⚡️ Showcase
Fair Value Gaps (FVG)
Inversion Fair Value Gaps (IFVG)
Balanced Price Range (BPR)
Volume Imbalances (VI)
Opening Gaps (OG)
📒 Usage
The key components of trading imbalances include:
Step 1 – Identify Market Trend: Begin by determining the market trend for the asset, whether it is bullish or bearish.
Step 2 – Locate Premium and Discount Zones: In a bearish market, focus on identifying the premium Imbalance, while in a bullish market, look for the discount Imbalance.
Step 3 – Detect Liquidity Sweep: After identifying the trend, the next step is to spot a liquidity sweep, which often indicates a potential price reversal or continuation.
Step 4 – Detect Change In State of Delivery: Following the liquidity sweep, the next step is to recognize a CISD, which frequently serves as a confirmation of a potential price reversal.
Step 5 – Execute the Trade: In a bullish market, wait for the price to retrace and test the discount imbalance, aiming to balance the price movement before entering the trade.
NOTES:
You always short only on Premium, and long on Discount.
Fair Value Gaps (FVG)
Inversion Fair Value Gaps
Balanced Price Range
🚨 Alerts
The indicator provides the ability to set alerts for various significant market events related to its core features.
You can configure alerts for the following key events:
Fair Value Gaps Formation (+B/-B)
Inversion Fair Value Gaps Formation (+B/-B)
Balanced Price Range Formation (+B/-B)
Volume Imbalances Formation (+B/-B)
Opening Gaps Formation (+B/-B)
⚠️ Disclaimer
These tools are exclusively available on the TradingView platform.
Our charting tools are intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. They are not designed to predict market movements or offer specific recommendations. Users should be aware that past performance is not indicative of future results and should not rely on these tools for financial decisions. By using these charting tools, the purchaser agrees that the seller and creator hold no responsibility for any decisions made based on information provided by the tools. The purchaser assumes full responsibility and liability for any actions taken and their consequences, including potential financial losses or investment outcomes that may result from the use of these products.
By purchasing, the customer acknowledges and accepts that neither the seller nor the creator is liable for any undesired outcomes stemming from the development, sale, or use of these products. Additionally, the purchaser agrees to indemnify the seller from any liability. If invited through the Friends and Family Program, the purchaser understands that any provided discount code applies only to the initial purchase of Candela's subscription. The purchaser is responsible for canceling or requesting cancellation of their subscription if they choose not to continue at the full retail price. In the event the purchaser no longer wishes to use the products, they must unsubscribe from the membership service, if applicable.
We do not offer reimbursements, refunds, or chargebacks. Once these Terms are accepted at the time of purchase, no reimbursements, refunds, or chargebacks will be issued under any circumstances.
By continuing to use these charting tools, the user confirms their understanding and acceptance of these Terms as outlined in this disclaimer.
buy sel StrategyGöstergenin Amacı
Bu gösterge:
Alım ve satım sinyalleri üretmek için MACD ve Bollinger Bantları kombinasyonunu kullanır.
Sinyalleri grafik üzerinde göstermek için oklar (yukarı ve aşağı) çizer.
Önemli sinyal durumlarında kullanıcıyı uyarmak için uyarı mekanizması içerir.
2. Kullanılan Teknik Göstergeler
A) MACD (Moving Average Convergence Divergence)
MACD, iki üstel hareketli ortalama arasındaki farkı ölçer:
Hızlı MACD Periyodu: Kısa dönem EMA (varsayılan: 12).
Yavaş MACD Periyodu: Uzun dönem EMA (varsayılan: 26).
Sinyal MACD Periyodu: MACD hattının yumuşatılmış versiyonu (varsayılan: 9).
Koşullar:
Alım Sinyali: MACD hattı, sinyal hattını yukarı yönde keser (ta.crossover fonksiyonu).
Satım Sinyali: MACD hattı, sinyal hattını aşağı yönde keser (ta.crossunder fonksiyonu).
B) Bollinger Bantları
Bollinger Bantları, fiyatın oynaklığını (volatilite) ölçmek için kullanılır:
Orta Bant: Fiyatın hareketli ortalamasıdır (varsayılan: 20 periyotluk SMA).
Üst Bant: Orta banda, standart sapmanın belirli bir katı eklenir (varsayılan: 2.0).
Alt Bant: Orta bandan, standart sapmanın belirli bir katı çıkarılır (varsayılan: 2.0).
3. Göstergenin İşlevselliği
A) Alım Koşulu (buy_condition):
pinescript
Kopyala
Düzenle
buy_condition = ta.crossover(macd_line, signal_line) and close > bb_lower
Al sinyali, şu iki şart sağlandığında tetiklenir:
MACD hattı, sinyal hattını yukarı yönde keserse (pozitif momentum).
Fiyat, Bollinger Bantları'nın alt bandının üzerine çıkarsa (fiyatın potansiyel dipten yukarı dönüşü).
B) Satım Koşulu (sell_condition):
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sell_condition = ta.crossunder(macd_line, signal_line) and close < bb_upper
Sat sinyali, şu iki şart sağlandığında tetiklenir:
MACD hattı, sinyal hattını aşağı yönde keserse (negatif momentum).
Fiyat, Bollinger Bantları'nın üst bandının altına düşerse (fiyatın potansiyel zirveden dönüşü).
4. Grafik Üzerindeki Gösterim
A) Bollinger Bantları:
Üst Bant (kırmızı çizgi).
Alt Bant (yeşil çizgi).
Orta Bant (turuncu çizgi).
B) Alım ve Satım Sinyalleri:
Oklar:
Yeşil ok (yukarı): Alım sinyali.
Kırmızı ok (aşağı): Satım sinyali.
C) Plotlama:
plotarrow fonksiyonu, yukarı ve aşağı sinyalleri oklarla grafik üzerinde gösterir:
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plotarrow(buy_condition ? 1 : sell_condition ? -1 : na, colorup=color.green, colordown=color.red, offset=-1)
5. Uyarılar
Uyarılar, sinyallerle kullanıcıyı bilgilendirir:
Alım Sinyali Uyarısı:
Mesaj: "MACD ve fiyat, Bollinger Bandı'nın alt sınırının üzerine çıktı."
Satım Sinyali Uyarısı:
Mesaj: "MACD ve fiyat, Bollinger Bandı'nın üst sınırının altına indi."
6. Kodun Avantajları
Kombinasyon Stratejisi: MACD ve Bollinger Bantları’nın birleşimi daha doğruluklu sinyaller üretebilir.
Basit ve Görsel: Grafik üzerinde sinyaller net bir şekilde belirtilmiştir.
Uyarı Mekanizması: Otomatik olarak işlem yapmak veya uyarı almak isteyen kullanıcılar için uygundur.
7. Dezavantajlar
Lag (Gecikme): Hem MACD hem de Bollinger Bantları gecikmeli göstergelerdir, bu da sinyalin gecikmesine neden olabilir.
Trend Filtreleme Eksikliği: Yanlış sinyalleri azaltmak için trend yönünü doğrulayan ek bir filtre (ör. EMA 200) faydalı olabilir.
8. Geliştirme Önerileri
Trend Filtresi: Yanlış sinyalleri azaltmak için EMA (200) gibi bir trend filtresi eklenebilir.
Fazla Sinyallerin Azaltılması: RSI gibi bir gösterge ile daha fazla doğrulama katmanı eklenebilir.
Zaman Aralığı Testi: Bu strateji en iyi 15 dakika, 1 saat veya 1 günlük zaman aralıklarında test edilerek optimize edilebilir.
Bu kod, daha sofistike stratejiler oluşturmak için güçlü bir başlangıç noktasıdır. Doğru parametre ayarlarıyla etkili bir ticaret aracı haline gelebilir.
Fibonacci TsunamiFibonacci Moving Averages (FMAs) are a technical analysis tool used in financial markets to help identify trends and potential reversal points. They combine the concept of moving averages with Fibonacci retracement levels, which are widely used in technical analysis to predict possible support and resistance levels based on the Fibonacci sequence.
Key Concepts:
Moving Averages (MA): A moving average is a mathematical calculation that smooths out past price data to create a trend-following indicator. It helps to identify the direction of the trend and reduce market noise.
Fibonacci Sequence: This is a series of numbers where each number is the sum of the two preceding ones. In technical analysis, Fibonacci retracement levels (like 23.6%, 38.2%, 50%, 61.8%, and 100%) are often used to identify potential support and resistance levels.
How Fibonacci Moving Averages Work:
Fibonacci Moving Averages are calculated by applying Fibonacci ratios to the standard moving average calculation. The most common Fibonacci ratios used in FMAs are 34, 55, 89, 144, and 233. These numbers are significant because they are part of the Fibonacci sequence and are believed to represent key points of support and resistance in financial markets.
For example:
A 34-period Fibonacci moving average would be calculated using the last 34 data points.
A 55-period Fibonacci moving average would be calculated using the last 55 data points.
Other Fibonacci periods, such as 89 and 144, could also be used depending on the trader's preferences.
How Traders Use Fibonacci Moving Averages:
Trend Identification: Traders use FMAs to help identify the direction of the trend. When the price is above a Fibonacci moving average, it suggests that the market is in an uptrend. Conversely, when the price is below the moving average, it may indicate a downtrend.
Support and Resistance Levels: The Fibonacci moving averages themselves can act as dynamic support and resistance levels. For instance, if the price is approaching a Fibonacci moving average from below, it may encounter resistance. If the price is approaching from above, it may find support.
Crossovers: Similar to other moving averages, Fibonacci moving averages are often used in conjunction with one another. A crossover of a shorter-term FMA (e.g., 34-period) above a longer-term FMA (e.g., 233-period) can indicate a bullish signal, while the opposite crossover may signal a bearish trend.
Combining with Other Indicators: Many traders use FMAs in conjunction with other technical analysis tools, like the relative strength index (RSI) or MACD, to confirm signals and enhance decision-making.
Example:
If a trader is using the 34-period and 55-period Fibonacci moving averages, a bullish crossover would occur when the 34-period FMA crosses above the 55-period FMA. This is often considered a buy signal.
If the price is approaching the 89-period Fibonacci moving average after an uptrend, the 89-period level may act as resistance and could be used to set a target price.
