Exact High/Low IndicatorThis indicator identifies exact equal highs and lows between consecutive candles. If the current candle’s high matches the previous candle’s high (or low matches low), an arrow is plotted on the chart. The arrows disappear if any future candle break the identified high/low, thereby indicating that it is not an unmitigated liquidity pool any longer
Customizable options include:
Arrow size and color
Line thickness and color
Enable/disable plotting of arrows and lines
Offset the arrow so there is space between arrow and candle
Cari dalam skrip untuk "liquidity"
Range Breakout Signals [AlgoAlpha]OVERVIEW
This script detects range-bound market conditions and breakout signals using a combination of volatility compression and volume imbalance analysis. It identifies zones where price consolidates within a defined range and highlights potential breakout points with visual markers. Traders can use this to spot market transitions from ranging to trending phases, aiding in decision-making for breakout strategies.
CONCEPTS
The script measures volatility by comparing the ratio of the simple moving average (SMA) of price movements to their median value. When volatility drops below a threshold, the script assumes a range-bound market. It then tracks the cumulative volume of buying and selling pressure to assess breakout strength. The approach is based on the idea that market consolidation often precedes strong moves, and volume distribution can provide clues on the breakout direction.
FEATURES
Range Detection : Uses a volatility filter to identify low-volatility zones and marks them on the chart with shaded boxes.
Volume Imbalance Analysis : Evaluates cumulative up and down volume over a confirmation period to assess directional bias.
Breakout Signals : When price exits a detected range, the script plots breakout markers. A ▲ symbol indicates a bullish breakout, and a ▼ symbol indicates a bearish breakout. Additional "+" markers indicate strong volume imbalance favoring the breakout direction.
Adaptive Timeframe Volume Analysis : The script dynamically adjusts its volume calculation based on the chart’s timeframe, ensuring reliable signal generation across different trading conditions.
Alerts : Notifies traders when a new range is detected or when a breakout occurs, allowing for automated monitoring.
USAGE
Traders can use this script to identify potential trade setups by entering positions when price breaks out of a detected range. For breakout confirmation, traders can look at volume imbalance cues—bullish breakouts with strong buying volume may indicate sustained moves, while weak volume breakouts may lead to false signals. This script is particularly useful for breakout traders, range traders seeking to fade breakouts, and those looking to automate trade alerts in volatile markets.
Premarket Gap MomoTrader(SC)🚀 Pre-Market Momentum Trader | Dynamic Position Sizing 🔥
📈 Trade explosive pre-market breakouts with confidence! This algorithmic strategy automatically detects high-momentum setups, dynamically adjusts position size, and ensures risk control with a one-trade-per-day rule.
⸻
🎯 Key Features
✅ Pre-Market Trading (4:00 - 9:30 AM EST) – Only trades during the most volatile session for early breakouts.
✅ Dynamic Position Sizing – Adapts trade size based on candle strength:
• ≥90% body → 100% position
• ≥85% body → 50% position
• ≥75% body → 25% position
✅ 1 Trade Per Day – Avoids overtrading by allowing only one high-quality trade daily.
✅ Momentum Protection – Stays in the trade as long as:
• Every candle remains green (no red candles).
• Each new candle has increasing volume (confirming strong buying).
✅ Automated Exit – Closes position if:
• A red candle appears.
• Volume fails to increase on a green candle.
⸻
🔍 How It Works
📌 Entry Conditions:
✔️ Candle gains ≥5% from previous close.
✔️ Candle is green & body size ≥75% of total range.
✔️ Volume >15K (confirming liquidity).
✔️ Occurs within pre-market session (4:00 - 9:30 AM EST).
✔️ Only the first valid trade of the day is taken.
📌 Exit Conditions:
❌ First red candle after entry → Exit trade.
❌ First green candle with lower volume → Exit trade.
⸻
🏆 Why Use This?
🔹 Eliminates Fake Breakouts – No trade unless volume & momentum confirm.
🔹 Prevents Overtrading – Restricts to one quality trade per day.
🔹 Adaptable to Any Market – Works on stocks, crypto, or forex.
🔹 Hands-Free Execution – No manual chart watching required!
⸻
🚨 Important Notes
📢 Not financial advice. Trading involves risk—always backtest & practice on paper trading before using real money.
📢 Enable pre-market data in your TradingView settings for accurate results.
📢 Optimized for 1-minute & 5-minute timeframes.
🔔 Like this strategy? Leave a comment, share your results, and don’t forget to hit Follow for more strategies! 🚀🔥
FinFluential Global M2 Money Supply // Days Offset =The "Global M2 Money Supply" indicator calculates and visualizes the combined M2 money supply from multiple countries and regions worldwide, expressed in trillions of USD.
M2 is a measure of the money supply that includes cash, checking deposits, and easily convertible near-money assets. This indicator aggregates daily M2 data from various economies, converts them into a common USD base using forex exchange rates, and plots the total as a single line on the chart.
It is designed as an overlay indicator aligned to the right scale, making it ideal for comparing global money supply trends with price action or other market data.
Key Features
Customizable Time Offset: Users can adjust the number of days to shift the M2 data forward or backward (from -1000 to +1000 days) via the indicator settings. This allows for alignment with historical events or forward-looking analysis.
Global Coverage Includes:
Eurozone: Eurozone M2 (converted via EUR/USD)
North America: United States, Canada
Non-EU Europe: Switzerland, United Kingdom, Finland, Russia
Pacific: New Zealand
Asia: China, Taiwan, Hong Kong, India, Japan, Philippines, Singapore
Latin America: Brazil, Colombia, Mexico
Middle East: United Arab Emirates, Turkey
Africa: South Africa
TMA StrategyThe **TMA Strategy** is a trend-following strategy that leverages **Smoothed Moving Averages (SMMA)** and **candlestick patterns** to identify high-probability trading opportunities. It is designed for traders who want to capture strong trends while minimizing noise from short-term fluctuations.
**Key Features:**
✔ **Multiple Smoothed Moving Averages (SMMA):** Uses 21, 50, 100, and 200-period SMMAs to identify market trends and key support/resistance zones.
✔ **Candlestick Pattern Confirmation:** Incorporates **3-line strike** and **engulfing candle** patterns to confirm trade entries.
✔ **Dynamic Trend Filter:** A **2-period EMA** ensures that trades align with the dominant trend, reducing false signals.
✔ **Customizable Session Filter:** Allows users to enable/disable trading within specific market sessions (New York, London, Tokyo, etc.), ensuring trades are executed only during high-liquidity hours.
✔ **Risk Management:** Uses predefined exit conditions based on EMA/SMMA crossovers to lock in profits and minimize losses.
**Trading Logic:**
📌 **Long Entry:**
- Bullish Engulfing or 3-Line Strike pattern appears.
- Price is above the 200 SMMA.
- 2 EMA confirms an uptrend.
- Trade executes if session filter allows.
📌 **Short Entry:**
- Bearish Engulfing or 3-Line Strike pattern appears.
- Price is below the 200 SMMA.
- 2 EMA confirms a downtrend.
- Trade executes if session filter allows.
📌 **Exit Conditions:**
- Long trades exit when EMA(2) crosses **below** SMMA(200).
- Short trades exit when EMA(2) crosses **above** SMMA(200).
**Ideal Markets & Timeframes:**
✅ Best suited for **Forex, Stocks, and Crypto** markets.
✅ Works well on **higher timeframes (15m, 1H, 4H, Daily)** for stronger trend confirmation.
📢 **Disclaimer:**
This strategy is for educational purposes only. Backtest results do not guarantee future performance. Always use proper risk management and test in a demo account before live trading.
🚀 **Try the TMA Strategy now and enhance your trend-following approach!**
ST -Dashboard Volume MTF , [Sese04]User Guide: ST - Dashboard Volume MTF
Introduction
This script displays a multi-timeframe (MTF) volume dashboard, tracking buy and sell volumes and the moving averages of volume. It is designed for traders using ICT (Inner Circle Trader) and SMC (Smart Money Concepts) to quickly visualize market dynamics across multiple timeframes.
Settings and Features
📌 User Inputs
Customizable settings allow traders to adjust the dashboard display and volume moving averages.
Volume Display per Timeframe
show_vol_1m: Show volume for 1-minute chart.
show_vol_5m: Show volume for 5-minute chart.
show_vol_15m: Show volume for 15-minute chart.
show_vol_1h: Show volume for 1-hour chart.
show_vol_4h: Show volume for 4-hour chart.
show_vol_1d: Show volume for 1-day chart.
Volume Moving Average Settings
ma_length_short: Length of the short-term moving average (default 5 periods).
ma_length_long: Length of the long-term moving average (default 14 periods).
Dashboard Customization
dashboard_position: Dashboard position (Bottom Right, Bottom Left, Top Right, Top Left).
text_color: Text color for the dashboard.
text_size: Text size (small, normal, large).
How the Script Works
🔹 1. Calculating Buy and Sell Volume
The calculate_buy_sell function separates buy and sell volume based on the candle's open and close price:
If the closing price is higher than the opening price → Buy volume 📈.
If the closing price is lower or equal to the opening price → Sell volume 📉.
🔹 2. Retrieving Volume Data Across Multiple Timeframes
The function get_volumes collects buy and sell volume data for different timeframes using request.security().
The available timeframes are: 1m, 5m, 15m, 1h, 4h, and 1d.
🔹 3. Calculating Volume Moving Averages
The script uses ta.sma() to compute moving averages for volume trends:
ma_vol_short: Short-term moving average (e.g., 5 periods).
ma_vol_long: Long-term moving average (e.g., 14 periods).
🔹 4. Creating and Displaying the Dashboard
A table (table.new()) is generated at the last bar (barstate.islast) to display the volume data:
A title “📊 Volume Dashboard (Buy vs Sell)” in purple.
Column headers:
TIMEFRAME (e.g., 1M, 5M, 15M, 1H, 4H, 1D).
BUY VOLUME (dark blue).
SELL VOLUME (dark red).
Buy and Sell Volume values are displayed in their respective cells for easy reading.
How to Use This Script on TradingView?
Adding the Script
Open TradingView.
Go to Pine Editor and paste the script.
Click "Add to Chart".
Configuring the Settings
Open the indicator settings.
Enable/disable the desired timeframes.
Adjust the moving average lengths if necessary.
Interpreting the Data
Increasing buy volume across timeframes may indicate bullish momentum.
Rising sell volume suggests a bearish reversal.
Crossovers of volume moving averages can help detect market shifts.
Conclusion
This script is a powerful tool for analyzing volume dynamics across multiple timeframes. It provides a quick overview of the balance between buyers and sellers, essential for ICT scalping and liquidity-based trading.
🚀 Pro Tip: Combine this dashboard with other SMC indicators (engulfing candles, pivot points) to refine your trading decisions.
MacroJP: US Macro Conditions & Forward GuidanceMacroJP is a comprehensive, free-to-use TradingView indicator designed to provide a clear snapshot of the US macroeconomic environment. It consolidates key economic metrics into a single, interactive dashboard, allowing traders and investors to quickly assess current conditions and adjust their portfolio biases accordingly.
How It Works:
• Data Aggregation:
The indicator pulls monthly data from reputable free economic sources—specifically, ISM Manufacturing PMI, US CPI YoY, US M2 Money Supply, and US Treasury yields (10-year and 2-year). This robust dataset forms the backbone of the analysis.
• Composite Calculations:
By calculating a Composite Inflation Indicator (the average of CPI YoY and the yield spread) and evaluating the year-over-year change in M2, MacroJP gauges both the inflationary pressures and liquidity trends in the economy. These composite metrics offer a nuanced view that goes beyond single-indicator analysis.
Regime Classification:
The core strength of MacroJP lies in its quadrant classification system. It categorises the macro environment into four distinct regimes based on the direction of economic growth (derived from PMI) and inflation (from the Composite Inflation Indicator):
• Expansion (Reflation): Indicative of a recovering economy with rising production and moderate inflation—ideal for a bullish equity bias.
• Stagflation Risk: A scenario of weak growth coupled with high inflation, where a defensive posture is recommended.
• Slowdown (Deflationary): Characterised by contracting economic activity and falling prices, suggesting a move towards cash or high-quality bonds.
• Disinflationary Boom: Reflects strong growth with stable or falling inflation—an optimal environment for equities with some bond diversification.
Forward Guidance:
To enhance its predictive capability, MacroJP incorporates leading indicators by shifting key data points. For instance, it uses a forward-shifted M2 YoY value and a one-month shifted CPI proxy to offer insights into near-term trends. This approach helps in anticipating changes, providing a sort of “forward guidance” that can inform strategic asset allocation.
User Education:
The indicator features an intuitive table with on-hover tooltips that explain each metric, its relevance, and recommended investment biases. This educational layer is designed to empower users to not only monitor the economic pulse but also to understand the ‘why’ behind each reading, making it a valuable tool for both novice and experienced investors.
MacroJP brings clarity to complex macroeconomic dynamics, allowing users to make more informed decisions in volatile markets. Its seamless integration of free public data and detailed on-chart annotations makes it an indispensable tool for anyone looking to understand the broader economic context impacting their investments.
— Jaroslav
Historical Monthly Returns TrackerThe Historical Monthly Returns Tracker is a powerful Pine Script v5 indicator designed to provide a detailed performance analysis of an asset’s monthly returns over time. It calculates and displays the percentage change for each month, aggregated into a structured table. The indicator helps traders and investors identify seasonal trends, recurring patterns, and historical profitability for a selected asset.
Key Features
✅ Historical Performance Analysis – Tracks monthly percentage changes for any asset.
✅ Customizable Start Year – Users can define the beginning year for data analysis.
✅ Comprehensive Data Table – Displays a structured table with yearly returns per month.
✅ Aggregated Statistics – Shows average return, total sum, number of positive months, and win rate (WR) for each month.
✅ Clear Color Coding – Highlights positive returns in green, negative in red, and neutral in gray.
✅ Works on Daily & Monthly Timeframes – Ensures accurate calculations based on higher timeframes.
How It Works
Data Collection:
The script fetches monthly closing prices.
It calculates month-over-month percentage change.
The values are stored in a matrix for further processing.
Table Generation:
Displays a structured table where each row represents a year, and each column represents a month (Jan–Dec).
Monthly returns are color-coded for easy interpretation.
Aggregated Statistics:
AVG: The average return per month across all available years.
SUM: The total cumulative return for each month.
+ive: The number of times a month had positive performance vs. total occurrences.
WR (Win Rate): The percentage of times a month had a positive return.
Use Cases
📈 Seasonality Analysis: Identify which months historically perform better or worse.
📊 Risk Management: Plan trading strategies based on historical trends.
🔍 Backtesting Aid: Support algorithmic and discretionary traders with real data insights.
🔄 Asset Comparison: Compare different stocks, forex pairs, or cryptocurrencies for their seasonal behavior.
How to Use
Apply the Indicator to a chart in TradingView.
Ensure your timeframe is Daily or Monthly (lower timeframes are not supported).
The table will automatically populate based on available historical data.
Analyze the patterns, trends, and win rates to optimize trading decisions.
Limitations
⚠️ Requires a sufficient amount of historical data to provide accurate analysis.
⚠️ Works best on high-liquidity assets (stocks, indices, forex, crypto).
⚠️ Not a predictive tool but rather a historical performance tracker.
Final Thoughts
The Historical Monthly Returns Tracker is an excellent tool for traders seeking to leverage seasonal trends in their strategies. Whether you're a stock, forex, or crypto trader, this indicator provides clear, data-driven insights to help refine entry and exit points based on historical patterns.
🚀 Use this tool to make smarter, more informed trading decisions!
[3Commas] Turtle StrategyTurtle Strategy
🔷 What it does: This indicator implements a modernized version of the Turtle Trading Strategy, designed for trend-following and automated trading with webhook integration. It identifies breakout opportunities using Donchian channels, providing entry and exit signals.
Channel 1: Detects short-term breakouts using the highest highs and lowest lows over a set period (default 20).
Channel 2: Acts as a confirmation filter by applying an offset to the same period, reducing false signals.
Exit Channel: Functions as a dynamic stop-loss (wait for candle close), adjusting based on market structure (default 10 periods).
Additionally, traders can enable a fixed Take Profit level, ensuring a systematic approach to profit-taking.
🔷 Who is it for:
Trend Traders: Those looking to capture long-term market moves.
Bot Users: Traders seeking to automate entries and exits with bot integration.
Rule-Based Traders: Operators who prefer a structured, systematic trading approach.
🔷 How does it work: The strategy generates buy and sell signals using a dual-channel confirmation system.
Long Entry: A buy signal is generated when the close price crosses above the previous high of Channel 1 and is confirmed by Channel 2.
Short Entry: A sell signal occurs when the close price falls below the previous low of Channel 1, with confirmation from Channel 2.
Exit Management: The Exit Channel acts as a trailing stop, dynamically adjusting to price movements. To exit the trade, wait for a full bar close.
Optional Take Profit (%): Closes trades at a predefined %.
🔷 Why it’s unique:
Modern Adaptation: Updates the classic Turtle Trading Strategy, with the possibility of using a second channel with an offset to filter the signals.
Dynamic Risk Management: Utilizes a trailing Exit Channel to help protect gains as trades move favorably.
Bot Integration: Automates trade execution through direct JSON signal communication with your DCA Bots.
🔷 Considerations Before Using the Indicator:
Market & Timeframe: Best suited for trending markets; higher timeframes (e.g., H4, D1) are recommended to minimize noise.
Sideways Markets: In choppy conditions, breakouts may lead to false signals—consider using additional filters.
Backtesting & Demo Testing: It is crucial to thoroughly backtest the strategy and run it on a demo account before risking real capital.
Parameter Adjustments: Ensure that commissions, slippage, and position sizes are set accurately to reflect real trading conditions.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:ETHUSDT (Spot).
Timeframe: 4h.
Test Period: All historical data available.
Initial Capital: 10000 USDT.
Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach.
Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy.
Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level.
Margin for Long and Short Positions: 100%.
Indicator Settings: Default Configuration.
Period Channel 1: 20.
Period Channel 2: 20.
Period Channel 2 Offset: 20.
Period Exit: 10.
Take Profit %: Disable.
Strategy: Long & Short.
🔷 STRATEGY RESULTS
⚠️Remember, past results do not guarantee future performance.
Net Profit: +516.87 USDT (+5.17%).
Max Drawdown: -100.28 USDT (-0.95%).
Total Closed Trades: 281.
Percent Profitable: 40.21%.
Profit Factor: 1.704.
Average Trade: +1.84 USDT (+1.80%).
Average # Bars in Trades: 29.
🔷 How to Use It:
🔸 Adjust Settings:
Select your asset and timeframe suited for trend trading.
Adjust the periods for Channel 1, Channel 2, and the Exit Channel to align with the asset’s historical behavior. You can visualize these channels by going to the Style tab and enabling them.
For example, if you set Channel 2 to 40 with an offset of 40, signals will take longer to appear but will aim for a more defined trend.
Experiment with different values, a possible exit configuration is using 20 as well. Compare the results and adjust accordingly.
Enable the Take Profit (%) option if needed.
🔸Results Review:
It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed.
Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic.
If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds.
🔸Create alerts to trigger the DCA Bot:
Verify Messages: Ensure the message matches the one specified by the DCA Bot.
Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format.
Signal Settings: Enable the option to receive long or short signals (Entry | TP | SL), copy and paste the messages for the DCA Bots configured.
Alert Setup:
When creating an alert, set the condition to the indicator and choose "alert() function call only".
Enter any desired Alert Name.
Open the Notifications tab, enable Webhook URL, and paste the Webhook URL.
For more details, refer to the section: "How to use TradingView Custom Signals".
Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format.
🔷 INDICATOR SETTINGS
Period Channel 1: Period of highs and lows to trigger signals
Period Channel 2: Period of highs and lows to filter signals
Offset: Move Channel 2 to the right x bars to try to filter out the favorable signals.
Period Exit: It is the period of the Donchian channel that is used as trailing for the exits.
Strategy: Order Type direction in which trades are executed.
Take Profit %: When activated, the entered value will be used as the Take Profit in percentage from the entry price level.
Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
Check Messages: Check Messages: Enable this option to review the messages that will be sent to the bot.
Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals.
Deal Entry and Deal Exit: Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the bot so that it can process properly.
DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the correct format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
__
The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Bitcoin Total VolumeThis Pine Script indicator, titled "Bitcoin Top 16 Volume," is designed to provide traders with an aggregate view of Bitcoin (BTC) spot trading volume across leading cryptocurrency exchanges. Unlike traditional volume indicators that focus on a single exchange, this tool compiles data from a selection of the top exchanges as ranked by CoinMarketCap, offering a broader perspective on overall market activity.
The indicator works by fetching real-time volume data for specific BTC trading pairs on various exchanges. It currently incorporates data from prominent platforms such as Binance (BTCUSDT), Coinbase (BTCUSD), OKX (BTCUSDT), Bybit (BTCUSDT), Kraken (BTCUSD), Bitfinex (BTCUSD), Bitstamp (BTCUSD), Gemini (BTCUSD), Upbit (BTCKRW), Bithumb (BTCKRW), KuCoin (BTCUSDT), Gate.io (BTCUSDT), MEXC (BTCUSDT), Crypto.com (BTCUSD), Poloniex (BTCUSDT), and BitMart (BTCUSDT). It's important to note that while the indicator aims to represent the "Top 16" exchanges, the actual number included may vary due to data availability within TradingView and the dynamic nature of exchange rankings.
The script then calculates the total volume by summing up the volume data retrieved from each of these exchanges. This aggregated volume is visually represented as a histogram directly on your TradingView chart, displayed in white by default. By observing the height of the histogram bars, traders can quickly assess the total trading volume for Bitcoin spot markets over different time periods, corresponding to the chart's timeframe.
This indicator is valuable for traders seeking to understand the overall market depth and liquidity of Bitcoin. Increased total volume can often signal heightened market interest and potential trend strength or reversals. Conversely, low volume might suggest consolidation or reduced market participation. Traders can use this indicator to confirm trends, identify potential breakouts, and gauge the general level of activity in the Bitcoin spot market across major exchanges. Keep in mind that the list of exchanges included may need periodic updates to accurately reflect the top exchanges as rankings on CoinMarketCap evolve.
Nirmal Fair Value GapsICT Fair Value Gaps
Trade Wisely
How a Fair Value Gap Works
Formation:
A Fair Value Gap occurs when a strong price movement (usually from institutional orders) creates an imbalance between buyers and sellers.
This is typically seen in a three-candle pattern, where the middle candle has a large body, and the two surrounding candles have wicks but little overlap with the middle candle’s range.
Identification:
The FVG is marked between the high of the first candle and the low of the third candle (for bullish gaps).
For bearish gaps, it’s the low of the first candle and the high of the third candle.
Market Behavior Around FVG:
Price often retraces into the gap before resuming its original direction.
This happens because the market seeks to "fill" the imbalance where few trades occurred.
Traders use FVGs as potential entry zones for trend continuation trades.
Trading Fair Value Gaps
In an Uptrend:
Look for bullish fair value gaps as potential support zones for buy entries.
Price may dip into the gap and then continue upward.
In a Downtrend:
Look for bearish fair value gaps as potential resistance zones for sell entries.
Price may retrace into the gap and then drop further.
Confluence Factors:
FVGs work best when combined with other strategies like order blocks, liquidity zones, or key Fibonacci levels.
Volume Trend Signals | iSolani
Volume Trend Signals | iSolani: Syncing Price Momentum with Volume Confirmation
In the dance between price action and volume, discerning true trend commitment requires seeing how institutional players vote with their capital. The Volume Trend Signals | iSolani illuminates this interplay by generating precise crossover signals when volume-accelerated price movements gain sustained traction. Unlike conventional volume oscillators, it employs a two-layered confirmation system —blending volatility-adjusted thresholds with adaptive smoothing—to spotlight high-probability entries aligned with smart-money activity.
Core Methodology
The indicator executes a five-phase process to filter meaningful trends:
Logarithmic Price Scaling: Measures percentage-based price changes via HLC3 typical price, reducing large-value bias in volatile markets.
Volatility Dynamic Filter: Uses a 30-bar standard deviation of price changes, scaled by user sensitivity (default 2x), to set momentum thresholds.
Volume Governance: Caps raw volume at 3x its 40-bar SMA, neutralizing outlier spikes while preserving institutional footprints.
Directional Flow Accumulation: Sums volume as positive/negative based on whether price movement breaches volatility-derived boundaries.
Signal Refinement: Smooths the Volume Flow Indicator (VFI) with a 3-bar SMA, then triggers alerts via crosses over a 20-bar EMA signal line.
Breaking New Ground
This tool introduces three evolutionary improvements over traditional volume indicators:
EMA Convergence Signals: Unlike basic zero-cross systems, it requires VFI to overtake its own EMA, confirming sustained momentum shifts.
Context-Aware Volume: The 3x volume cap adapts to current market activity, preventing false signals during news-driven liquidity spikes.
Minimalist Visual Alerts: Uses and symbols below/above candles, reducing chart clutter while emphasizing pivotal moments.
Engine Under the Hood
The script’s logic flows through four computational stages:
Data Conditioning: Computes HLC3 and its log-based rate of change for normalized price analysis.
Threshold Calibration: Derives dynamic entry/exit levels from 30-period volatility multiplied by user sensitivity.
Volume Processing: Filters and signs volume based on price meeting threshold criteria.
Signal Generation: Triggers buy/sell labels when the 3-bar SMA of cumulative flow crosses the 20-bar EMA.
Standard Configuration
Optimized defaults balance responsiveness and reliability:
VFI Length: 40-bar accumulation window
Sensitivity: 2.0 (double the volatility-derived threshold)
Signal Smoothing: 20-bar EMA
Volume Cap: 3x average (hidden parameter)
Smoothing: Enabled (3-bar SMA on VFI)
By fusing adaptive volume filtering with EMA-confirmed momentum, the Volume Trend Signals | iSolani cuts through market noise to reveal institutional-grade trend inflection points. Its unique crossover logic—prioritizing confirmation over speed—makes it particularly effective in swing trading and trend-following strategies across equities, commodities, and forex markets.
Pere's Weekly Analysis V3This indicator is very simple; it is basically composed of a series of thin vertical lines and thicker ones:
- The thin lines symbolize the opening of the London session, which marks the beginning of a new day in the forex market.
- The thick lines, due to their prominence, represent the end of a week with the closing of the Asian session.
The combination of these two lines allows for a deeper understanding of what happens each day, enabling market analysis in lower timeframes, such as a 5-minute or 10-minute chart, without losing sight of the daily opening and closing references.
This indicator can be used to identify previous days' highs and lows, mark them as potential liquidity zones, and look for price reactions to these areas during the current day. Traders can combine this indicator with their personal strategies, simplifying chart analysis.
It is essential to have a solid understanding of market behavior and always trade with optimal risk management.
ESPAÑOL:
Este indicador es muy sencillo, básicamente está compuesto por una serie de líneas verticales delgadas y otras más gruesas:
- Las delgadas simbolizan la apertura de la sesión de Londres, es decir el inicio de un día nuevo en el mercado del forex.
- Las gruesas por su saldo simbolizan el final de una semana con el cierre de la sesión asiática.
Las combinación de estas 2 líneas nos permite tener una comprensión más profunda de lo que ocurre en cada día, pudiendo analizar el mercado en temporalidades más bajas, como por ejemplo, una temporalidad de 5 minutos o de 10 minutos, Pero sin perder las referencias del inicio y final de cada día.
Este indicador se puede utilizar para identificar máximos y mínimos de los días anteriores, marcarlos como potenciales zonas de liquidez, y buscar reacciones a dichas zonas durante el día actual. Los trader puede combinar este indicar con sus estrategias personales simplificando la lectura de los gráficos.
Es importante tener una buena comprensión del comportamiento de los mercado y siempre operar con una óptima gestión del riesgo.
Delta VolDelta Volume BTC - Multi Pair
Description The Delta Volume BTC - Multi Pair indicator visualizes the balance between buying and selling volume across multiple Bitcoin exchanges. By analyzing price action within each bar, it provides insight into underlying market pressure that traditional volume indicators miss. This indicator allows traders to:
Compare volume flow across Coinbase, Binance, and Binance Perpetual markets
Identify divergences between exchanges that may signal market shifts
Detect accumulation or distribution patterns through volume imbalances
View exchanges individually or in aggregate for comprehensive analysis
Calculation Methods The indicator offers three volume delta calculation methods:
VWAP Based (default):
price_range = high - low
buy_percent = (close - low) / price_range
sell_percent = (high - close) / price_range
delta = volume * (buy_percent - sell_percent)
This method distributes volume based on where price closed within the bar's range, providing a nuanced view of buying/selling pressure.
Tick Based :
delta = volume * sign(hlc3 - previous_hlc3)
This approach assigns volume based on the direction of typical price movement between bars, capturing momentum between periods.
Simple :
delta = close > open ? volume : close < open ? -volume : 0
A straightforward method that assigns positive volume to up bars and negative volume to down bars.
When Aggregate Mode is enabled, the indicator sums the volume deltas from all selected exchanges:
aggregate_delta = coinbase_delta + binance_delta + binance_perp_delta
Features
Multi-Exchange Support : Track volume delta across Coinbase, Binance, and Binance Perpetual futures
Advanced Calculation Methods : Choose between VWAP-based, tick-based, or simple volume delta algorithms
Flexible Display Options : Visualize as histogram, columns, area, or line charts
Customizable Colors : Distinct color schemes for each exchange and direction
Smoothing Options : Apply EMA, SMA, or WMA to reduce noise
Aggregate Mode : Combine all exchanges to see total market flow
How to Use
Individual Exchange Analysis : Uncheck "Aggregate Mode" to see each exchange separately, revealing where smart money may be positioning
Divergence Detection : Watch for one exchange showing buying while others show selling
Volume Trend Confirmation : Strong price moves should be accompanied by strong delta in the same direction
Liquidity Analysis : Compare spot vs futures volume delta to identify market sentiment shifts
The Delta Volume BTC - Multi Pair indicator helps identify the "hidden" buying and selling pressure that may not be apparent from price action alone, giving you an edge in understanding market dynamics across the Bitcoin ecosystem.
DynamicMALibrary "DynamicMA"
Dynamic Moving Averages Library
Introduction
The Dynamic Moving Averages Library is a specialized collection of custom built functions designed to calculate moving averages dynamically, beginning from the first available bar. Unlike standard moving averages, which rely on fixed length lookbacks, this library ensures that indicators remain fully functional from the very first data point, making it an essential tool for analysing assets with short time series or limited historical data.
This approach allows traders and developers to build robust indicators that do not require a preset amount of historical data before generating meaningful outputs. It is particularly advantageous for:
Newly listed assets with minimal price history.
High-timeframe trading, where large lookback periods can lead to delayed or missing data.
By eliminating the constraints of fixed lookback periods, this library enables the seamless construction of trend indicators, smoothing functions, and hybrid models that adapt instantly to market conditions.
Comprehensive Set of Custom Moving Averages
The library includes a wide range of custom dynamic moving averages, each designed for specific analytical use cases:
SMA (Simple Moving Average) – The fundamental moving average, dynamically computed.
EMA (Exponential Moving Average) – Adaptive smoothing for better trend tracking.
DEMA (Double Exponential Moving Average) – Faster trend detection with reduced lag.
TEMA (Triple Exponential Moving Average) – Even more responsive than DEMA.
WMA (Weighted Moving Average) – Emphasizes recent price action while reducing noise.
VWMA (Volume Weighted Moving Average) – Accounts for volume to give more weight to high-volume periods.
HMA (Hull Moving Average) – A superior smoothing method with low lag.
SMMA (Smoothed Moving Average) – A hybrid approach between SMA and EMA.
LSMA (Least Squares Moving Average) – Uses linear regression for trend detection.
RMA (Relative Moving Average) – Used in RSI-based calculations for smooth momentum readings.
ALMA (Arnaud Legoux Moving Average) – A Gaussian-weighted MA for superior signal clarity.
Hyperbolic MA (HyperMA) – A mathematically optimized averaging method with dynamic weighting.
Each function dynamically adjusts its calculation length to match the available bar count, ensuring instant functionality on all assets.
Fully Optimized for Pine Script v6
This library is built on Pine Script v6, ensuring compatibility with modern TradingView indicators and scripts. It includes exportable functions for seamless integration into custom indicators, making it easy to develop trend-following models, volatility filters, and adaptive risk-management systems.
Why Use Dynamic Moving Averages?
Traditional moving averages suffer from a common limitation: they require a fixed historical window to generate meaningful values. This poses several problems:
New Assets Have No Historical Data - If an asset has only been trading for a short period, traditional moving averages may not be able to generate valid signals.
High Timeframes Require Massive Lookbacks - On 1W or 1M charts, a 200-period SMA would require 200 weeks or months of data, making it unusable on newer assets.
Delayed Signal Initialization - Standard indicators often take dozens of bars to stabilize, reducing effectiveness when trading new trends.
The Dynamic Moving Averages Library eliminates these issues by ensuring that every function:
Starts calculation from bar one, using available data instead of waiting for a lookback period.
Adapts dynamically across timeframes, making it equally effective on low or high timeframes.
Allows smoother, more responsive trend tracking, particularly useful for volatile or low-liquidity assets.
This flexibility makes it indispensable for custom script developers, quantitative analysts, and discretionary traders looking to build more adaptive and resilient indicators.
Final Summary
The Dynamic Moving Averages Library is a versatile and powerful set of functions designed to overcome the limitations of fixed-lookback indicators. By dynamically adjusting the calculation length from the first bar, this library ensures that moving averages remain fully functional across all timeframes and asset types, making it an essential tool for traders and developers alike.
With built-in adaptability, low-lag smoothing, and support for multiple moving average types, this library unlocks new possibilities for quantitative trading and strategy development - especially for assets with short price histories or those traded on higher timeframes.
For traders looking to enhance signal reliability, minimize lag, and build adaptable trading systems, the Dynamic Moving Averages Library provides an efficient and flexible solution.
SMA(sourceData, maxLength)
Dynamic SMA
Parameters:
sourceData (float)
maxLength (int)
EMA(src, length)
Dynamic EMA
Parameters:
src (float)
length (int)
DEMA(src, length)
Dynamic DEMA
Parameters:
src (float)
length (int)
TEMA(src, length)
Dynamic TEMA
Parameters:
src (float)
length (int)
WMA(src, length)
Dynamic WMA
Parameters:
src (float)
length (int)
HMA(src, length)
Dynamic HMA
Parameters:
src (float)
length (int)
VWMA(src, volsrc, length)
Dynamic VWMA
Parameters:
src (float)
volsrc (float)
length (int)
SMMA(src, length)
Dynamic SMMA
Parameters:
src (float)
length (int)
LSMA(src, length, offset)
Dynamic LSMA
Parameters:
src (float)
length (int)
offset (int)
RMA(src, length)
Dynamic RMA
Parameters:
src (float)
length (int)
ALMA(src, length, offset_sigma, sigma)
Dynamic ALMA
Parameters:
src (float)
length (int)
offset_sigma (float)
sigma (float)
HyperMA(src, length)
Dynamic HyperbolicMA
Parameters:
src (float)
length (int)
Market DNA: Structure, Volume, Range, and SessionsMarket DNA: Structure, Volume, Range, and Sessions**
The Market DNA indicator combines market structure, volume analysis, trading ranges, and global trading sessions into a single, comprehensive tool for traders. It helps identify key price levels, volume patterns, consolidation phases, and active market periods, enabling informed trading decisions.
Market Structure Detects swing highs and lows using `ta.pivothigh` and `ta.pivotlow`, plotting them as red/green triangles to highlight support/resistance and trend reversals.
- Fractal Volume Zones (FVG): Highlights areas of significant buying/selling pressure by comparing current volume to an average over a lookback period; high-volume zones are marked with a semi-transparent blue background.
- Trading Range: Defines a price channel using the Average True Range (ATR) and a multiplier, creating upper/lower bands to identify consolidation, breakouts, and potential trade levels.
- Market Sessions: Highlights major global trading sessions (Asia, Europe, US) with colored backgrounds (purple, teal, yellow) to indicate liquidity and volatility shifts.
How It Works
- Swing points help analyze trends and reversals.
- FVG confirms price movements with high volume for stronger signals.
- Trading range bands assist in identifying breakout opportunities and setting stops/take-profits.
- Session highlights allow traders to adapt strategies based on regional activity.
Customization
- Adjust `swing_length` for sensitivity in detecting turning points.
- Modify `volume_lookback` to control volume averaging.
- Tune `range_multiplier` for wider/narrower trading bands.
- Enable/disable session highlighting via `session_highlight`.
Use Cases
- Identify trends and key levels using swing points and FVG.
- Spot breakout opportunities with trading range bands.
- Adapt strategies to regional trading sessions for optimal timing.
This all-in-one indicator provides a clear, customizable view of the market, empowering traders to make data-driven decisions across asset classes and timeframes.
Pre-London High-Low Breakout IndicatorOverview
The Pre-London High-Low Breakout Indicator helps traders identify breakout opportunities at the London session open. It marks the high and low one hour before London opens (5 PM - 6 PM AEST) and incorporates a 200 SMA filter to confirm trade direction. The indicator also provides real-time breakout markers for precise entries.
How the Indicator Works
1. Pre-London High & Low Identification (5 PM - 6 PM AEST)
The indicator tracks the highest and lowest price levels within this period.
These levels act as key breakout zones once London opens.
The high and low remain visible until 12 AM AEST for reference.
2. 200 SMA as a Trend Filter
A 200 SMA (yellow, thick line) is plotted to filter breakout trades.
Only long (buy) trades are valid if price is above the 200 SMA.
Only short (sell) trades are valid if price is below the 200 SMA.
3. Real-Time Breakout Confirmation
Buy Signal (Green Diamond):
Price breaks above the pre-London high.
Price is above the 200 SMA.
Sell Signal (Red Diamond):
Price breaks below the pre-London low.
Price is below the 200 SMA.
No signal appears if the breakout is against the SMA trend, reducing false trades.
How to Use the Indicator Properly
Step 1: Identify the Pre-London Range (5 PM - 6 PM AEST)
Observe price movements and note the session high & low.
Do not take trades within this period—wait for a clear breakout.
Step 2: Wait for a Breakout After 6 PM AEST
A breakout must occur beyond the session high or low.
The breakout should be clear and decisive, not hovering around the range.
Step 3: Confirm with the 200 SMA
If price is above the 200 SMA, only buy signals are valid.
If price is below the 200 SMA, only sell signals are valid.
If a breakout occurs against the SMA, ignore it.
Step 4: Enter the Trade and Manage Risk
Enter the trade after the breakout candle closes.
Set stop-loss just inside the pre-London range to minimize risk.
Take profit using a 1:2 or 1:3 risk-reward ratio, or trail the stop.
Why This Strategy Works
Pre-London Liquidity Grab: Institutional traders set positions before the London open, making this range significant.
Trend Confirmation with SMA: Reduces false breakouts by filtering trades in the direction of the trend.
Real-Time Breakout Detection: Green and red diamond markers highlight valid breakouts that meet all conditions.
Final Notes
If price breaks out but quickly reverses, it may be a false breakout—avoid impulsive trades.
The indicator works best when combined with other confluences such as volume analysis or key support/resistance levels.
Alerts can be added to notify traders when a valid breakout occurs.
This setup is ideal for traders looking for a structured, rule-based approach to trading London session breakouts with a strong trend confirmation mechanism.
VWAP [cryptalent]VWAP Indicator with Adjustable Source
Overview
This TradingView indicator calculates Daily, Weekly, and Monthly VWAP (Volume Weighted Average Price) with the flexibility to select different price sources (Open, High, Low, Close, HLC3, etc.). It also displays previous period VWAP levels, helping traders analyze past liquidity zones.
Key Features:
✅ Adjustable Source – Users can choose the price used for VWAP calculations (e.g., Close, High, Low, Open).
✅ Multi-Timeframe VWAP – Tracks Daily, Weekly, and Monthly VWAP to provide a broader market view.
✅ Historical VWAP Levels – Displays previous VWAP values for comparison and reference.
✅ Step Line Style – Ensures clear distinction between different periods and prevents overlapping.
✅ Visible in the Price Scale – The latest and historical VWAP values are displayed in the right-hand price scale for easy reference.
Customization:
You can easily modify the input settings to match your trading style.
Adjust the VWAP source price to test different perspectives (e.g., Open vs. High vs. Close).
Orderblocks | iSolani
Revealing Institutional Footprints: The iSolani Volume-Powered Order Block System
Where Smart Money Leaves Its Mark – Automated Zone Detection for Discretionary Traders
Core Methodology
Pressure-Weighted Volume Analysis
Calculates directional commitment using candle position:
Buying Pressure = Total Volume × (Closing Price – Low) / (High – Low)
Selling Pressure = Total Volume × (High – Closing Price) / (High – Low)
Normalizes values against 31-period EMAs to filter retail noise
Adaptive Block Triggering
Identifies significant zones when:
Absolute Buy/Sell Difference > 4× SMA of Historical Differences (default)
Price closes bullishly (green block) or bearishly (red block)
Self-Maintaining Visualization
Blocks auto-extend rightward until price breaches critical level
Invalidated zones removed in real-time via array management
Technical Innovation
Dynamic Threshold Adjustment
Multiplier parameter (default 4) automatically scales with market volatility
Institutional-Grade Metrics
Blocks display:
Volume disparity in absolute terms
Percentage deviation from 33-period average
Directional bias through color-coding
Efficient Memory Handling
O(n) complexity cleanup routine prevents chart lag
System Workflow
Calculates real-time buy/sell pressure ratios
Compares to historical average (31-period default)
Generates semi-transparent zones (85% opacity) at spike locations
Monitors price interaction with block boundaries
Automatically retracts invalid zones
Standard Configuration
Sensitivity : 4× multiplier (ideal for 15m-4h charts)
Visuals : Red/green blocks with white text labels
Duration : 50-bar default extension
Volume Baseline : 33-period EMA filter
Boundary Check : Close beyond block high/low triggers deletion
This system transforms raw market data into a institutional roadmap – not by predicting turns, but by revealing where concentrated volume makes turns statistically probable. The color-coded blocks serve as persistent yet adaptive markers of where professional liquidity resides.
Weekend RangeWeekend Range Indicator – Customizable High/Low Zones
🔹 Overview
The Weekend Range Indicator marks the last 20 weekends on your chart, highlighting their highs and lows with fully customizable colors, transparency, and time settings. This tool helps traders identify key support and resistance levels from weekend price action.
🛠️ Features
✅ Custom Weekend Start & End – Choose the weekend days and time (UTC)
✅ Automatically Tracks the Last 20 Weekends (configurable up to 50)
✅ Custom Box Colors & Transparency – Adjust the fill and border colors easily
✅ Works on All Timeframes – Best viewed on 1H, 4H, or higher
✅ Efficient & Optimized Code – No lag, smooth performance
🎯 How to Use
1️⃣ Add the indicator to your chart.
2️⃣ Adjust the weekend start & end time in the settings.
3️⃣ Customize the box colors and transparency to match your style.
4️⃣ Watch how price reacts around the weekend high/low zones for trade opportunities.
💡 Trading Strategies
🔹 Breakout Trading – Look for price breaking above or below the weekend range.
🔹 Reversal Zones – Watch for rejections at weekend highs/lows.
🔹 Liquidity & Stop Hunts – Large players often target these levels.
📈 Recommended Markets
✔ Works best on Forex, Crypto, Indices, and Commodities
✔ Ideal for swing traders and intraday traders
🚀 Enjoy using the indicator! Let me know if you’d like any new features added! 🎯🔥
Crystal Order BlockThe Crystal Order Block Indicator is a powerful tool designed to help traders identify key institutional order blocks with high precision. This indicator is ideal for traders following Smart Money Concepts (SMC) and Institutional Trading Strategies, providing clear insights into potential high-probability trade setups.
🔹 Key Features:
✔ Automatic Order Block Detection: Identifies valid bullish & bearish order blocks.
✔ Unmitigated Order Blocks Highlighted: Focuses on fresh order blocks for improved trade opportunities.
✔ Trend-Focused Trading: Works best when combined with market structure analysis.
✔ Multi-Timeframe Support: Suitable for scalping, swing trading, and intraday trading.
✔ Risk Management Enhancement: Helps traders refine entries and exits based on institutional price movements.
📈 How to Use the Crystal Order Block Indicator:
🔹 Identifying Order Blocks:
➡ The indicator automatically detects order blocks formed by institutional trading activity.
➡ Unmitigated order blocks are highlighted, indicating areas where price may react.
🔹 High-Probability Trade Setups:
➡ Buy Setup: Look for a bullish order block in an uptrend, confirming strength.
➡ Sell Setup: Identify a bearish order block in a downtrend for potential short trades.
🔹 Order Block Mitigation:
➡ The updated version filters out mitigated order blocks, allowing traders to focus on fresh trading opportunities.
📊 Best Practices & Timeframes:
🔸 Works on all timeframes, but higher accuracy is observed on M30 and above.
🔸 Best suited for Smart Money Trading, Institutional Trading, and Price Action Strategies.
🔸 Should be used with liquidity concepts and market structure analysis for enhanced precision.
⚠ Important Note:
This indicator is a technical tool designed to assist traders in market analysis. It does not guarantee success and should be used alongside proper risk management and trading discipline.
FVG Reversal Sentinel🔵 FVG Reversal Sentinel – Multi-Timeframe Fair Value Gap Indicator
The FVG Reversal Sentinel is a powerful TradingView indicator designed to help traders identify and track Fair Value Gaps (FVGs) across multiple timeframes, all within a single chart.
This tool allows you to select up to five separate timeframes, ensuring you never miss key market shifts, whether you are scalping, day trading, or swing trading. You can use this indicator in any asset (Cryptos, Futures, Indices, Forex Pairs, etc.).
🔵 - Key Features -
Multi-Timeframe FVG Tracking – Select and display up to five different timeframes on one chart, providing a comprehensive view of market structure.
Customizable Colors – Adjust bullish and bearish FVG colors to match your chart theme for a seamless trading experience.
Enhanced Market Context – Quickly identify key liquidity zones and refine your entries and exits with precision.
Hide the lower timeframes FVGs to get a clear view in a custom timeframe.
Show or hide mitigated FVGs to declutter the chart.
FVGs boxes are going to be displayed only when the candle bar closes
FVGs are going to be mitigated only when the body of the candle closes above or below the FVG area.
No repainting
Whether you're looking to fine-tune your entries or gain a broader market perspective, the FVG Reversal Sentinel indicator ensures you have the tools to stay ahead of price action and capitalize on market inefficiencies.
🔵 - Customization-
You can change the indicator settings as you see fit to achieve the best results for your use case.
TIMEFRAMES
This indicator provides the ability to select up to 5 timeframes. These timeframes are based on the trader's timeframes including any custom timeframes.
Select the desired timeframe from the options list.
Add the label text you would like to show for the selected timeframe.
Check or uncheck the box to display or hide the timeframe from your chart.
FVG SETTINGS
Length of boxes: allows you to select the length of the box that is going to be displayed for the FVGs.
Delete boxes after fill?: allows you to show or hide mitigated FVGs on your chart.
Hide FVGs lower than enabled timeframes?: allows you to show or hide lower timeframe FVGs on your chart. Example - You are in a 15 minutes timeframe chart, if you choose to hide lower timeframe FVGs you will not be able to see 5 minutes FVG defined in your Timeframes Settings, only 15 minutes or higher timeframe FVGs will be displayed on your chart.
BOX VISUALS
Bullish FVG box color: the color and opacity of the box for the bullish FVGs.
Bearish FVG box color: the color and opacity of the box for the bearish FVGs.
LABELS VISUALS
Bullish FVG labels color: the color for bullish labels.
Bearish FVG labels color: the color for bearish labels.
Labels size: the size of the text displayed in the labels.
Labels position: the position of the label inside the FVGs boxes (right, left or center).
BORDER VISUALS
Border width: the width of the border (the thickness).
Bullish FVG border color: the color and the opacity of the bullish box border.
Bearish FVG border color: the color and the opacity of the bearish box border.
🔵 - How to use the indicator -
Just add the indicator in your chart and click in the settings option to customize it.
Make sure you select the desired timeframes and set the colors and opacity for the FVGs boxes.
This indicator can be used in many trading strategies, such as:
SILVER BULLET
iFVG
iFVG RETEST
These strategies are based on the use of FVGs, this tool can help you analyze the market and make the right decision.
🔵 - How was the indicator designed? -
I have spent a lot of time testing other open source indicators from the community. All of these indicators do a great job, but they have a problem, they not only mitigate FVGs when a candle closes above or below the FVG, they also mitigate FVGs when the candle closes exactly to the tick (not above or below the FVG). This is a problem for many strategies that rely on FVGs mitigation.
What makes this indicator different is that it focuses on just mitigating imbalances at the right time for these strategies.
I have taken ideas and some pieces of code from many community indicator developers, such as:
@twingall
@tflab
@marktools
@nacho-fx
@pmk07
... and many other people, to whom I thank for their valuable work and have allowed me to create this tool by making modifications to their source code.
🔵 - Disclaimer -
This tool is intended solely for informational and educational purposes and should not be regarded as financial, investment, or trading advice. It's 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 any indicator for financial decisions.
WalidTrader2025This is a Pine Script (version 5) code for a custom technical analysis indicator called "Market Structure Fibonacci Indicator" designed for use in TradingView. The indicator appears to combine market structure analysis with Fibonacci levels to help traders identify key price levels and market conditions.
Key features of the indicator include:
Fibonacci-based "breaker zones" that help identify potential support and resistance areas
A dynamic equilibrium price level that determines bullish/bearish market conditions
Buy-side and sell-side liquidity levels tracking
A status table displaying the current market trend (Bullish/Bearish) and market condition (Premium/Discount/Neutral)
Customizable visual elements including colors, line widths, and transparency levels
The indicator overlays on the price chart and uses the period's open, high, and low prices to calculate various Fibonacci projections at the 0.375 and 0.625 levels. It then creates zones ("breaker zones") that could indicate potential areas where price might react.
