USDT.D + USDT.C ALL TIMEFRAMESThis indicator combines the dominance of USDT (USDT.D) and USDC (USDC.D) to track total stablecoin market share across all timeframes. It displays the combined dominance as candlesticks, providing a clearer view of market liquidity shifts and investor sentiment.
📌 How to Use:
Green candles indicate rising stablecoin dominance (potential risk-off sentiment).
Red candles indicate declining stablecoin dominance (potential risk-on sentiment).
Works on all timeframes, from intraday scalping to macro trend analysis.
This tool is essential for traders looking to analyze stablecoin liquidity flow, identify market turning points, and refine trading strategies based on stablecoin dominance behavior. 🚀
Candlestick analysis
Naive Bayes Candlestick Pattern Classifier v1.1 BETAAn intermezzo on why i made this script publication..
A : Candlestick Pattern took hours to backtest, why not using Machine Learning techniques?
B : Machine Learning, no that's gonna be really heavy bro!
A : Not really, because we use Naive Bayes.
B : The simplest, yet powerful machine learning algorithm to separate (a.k.a classify) multivariate data.
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Hello, everyone!
After deep research in extracting meaningful information from the market, I ended up building this powerful machine learning indicator based on the evolution of Bayesian Statistics. This indicator not only leverages the simplicity of Naive Bayes but also extends its application to candlestick pattern analysis, making it an invaluable tool for traders who are looking to enhance their technical analysis without spending countless hours manually backtesting each pattern on each market!.
What most interesting part is actually after learning all of likely useless methods like fibonacci, supply and demand, volume profile, etc. We always ended up back to basic like support and resistance and candlestick patterns, but with a slight twist on strategy algorithm design and statistical approach. Thus, the only reason why i made this, because i exactly know that you guys will ended up in this position as time goes by.
The essence of this indicator lies in its ability to automate the recognition and statistical evaluation of various candlestick patterns. Traditionally, traders have relied on visual inspection and manual backtesting to determine the effectiveness of patterns like Bullish Engulfing, Bearish Engulfing, Harami variations, Hammer formations, and even more complex multi-candle patterns such as Three White Soldiers, Three Black Crows, Dark Cloud Cover, and Piercing Pattern. However, these conventional methods are both time-consuming and prone to subjective bias.
To address these challenges, I employed Naive Bayes—a probabilistic classifier that, despite its simplicity, offers robust performance in various domains. Naive Bayes assumes that each feature is independent of the others given the class label, which, although a strong assumption, works remarkably well in practice, especially when the dataset is large like market data and the feature space is high-dimensional. In our case, each candlestick pattern acts as a feature that can be statistically evaluated based on its historical performance. The indicator calculates a probability that a given pattern will lead to a price reversal, by comparing the pattern’s close price to the highest or lowest price achieved in a lookahead window.
One of the standout features of this script is its flexibility. Each candlestick pattern is not only coded into the system but also comes with individual toggles to enable or disable them based on your trading strategy. This means you can choose to focus on single-candle patterns like Bullish Engulfing or more complex multi-candle formations such as Three White Soldiers, without modifying the core code. The built-in customization options allow you to adjust colors and labels for each pattern, giving you the freedom to tailor the visual output to your preference. This level of customization ensures that the indicator integrates seamlessly into your existing TradingView setup.
Moreover, the indicator isn’t just about pattern recognition—it also incorporates outcome-based learning. Every time a pattern is detected, it looks ahead a predefined number of bars to evaluate if the expected reversal actually materialized. This outcome is then stored in arrays, and over time, the script dynamically calculates the probability of success for each pattern. These probabilities are presented in a real-time updating table on your chart, which shows not only the percentage probability but also the count of historical occurrences. With this information at your fingertips, you can quickly gauge the reliability of each pattern in your chosen market and timeframe.
Another significant advantage of this approach is its speed and efficiency. While more complex machine learning models like neural networks might require heavy computational resources and longer training times, the Naive Bayes classifier in this script is lightweight, instantaneous and can be updated on the fly with each new bar. This real-time capability is essential for modern traders who need to make quick decisions in fast-paced markets.
Furthermore, by automating the process of backtesting, the indicator frees up your time to focus on other aspects of trading strategy development. Instead of manually analyzing hundreds or even thousands of candles, you can rely on the statistical power of Naive Bayes to provide you with insights on which patterns are most likely to result in profitable moves. This not only enhances your efficiency but also helps to eliminate the cognitive biases that often plague manual analysis.
In summary, this indicator represents a fusion of traditional candlestick analysis with modern machine learning techniques. It harnesses the simplicity and effectiveness of Naive Bayes to deliver a dynamic, real-time evaluation of various candlestick patterns. Whether you are a seasoned trader looking to refine your technical analysis or a beginner eager to understand market dynamics, this tool offers a powerful, customizable, and efficient solution. Welcome to a new era where advanced statistical methods meet practical trading insights—happy trading and may your patterns always be in your favor!
Note : On this current released beta version, you must manually adjust reversal percentage move based on each market. Further updates may include automated best range detection and probability.
[EmreKb] Pinbar AnalysisDescription
The Pinbar Analyzer tool will count how many ltf candles are inside the wick and the total volume inside the wick.
How it works?
Calculate candle count of inside wick and volumes. Than display like below image
T/iW: Total Candle / Total inside Wick
ROiW: Rate of inside wick candle count
TV/WV: Total volume / Wick volume
BullDozz MA-CandlesticksBullDozz MA-Candlesticks 🏗️📊
The BullDozz MA-Candlesticks indicator transforms traditional candlesticks by replacing their Open, High, Low, and Close values with various types of Moving Averages (MAs). This helps traders visualize market trends with smoother price action, reducing noise and enhancing decision-making.
🔹 Features:
✅ Choose from multiple MA types: SMA, EMA, WMA, DEMA, TEMA, LSMA
✅ Customizable MA period for flexibility
✅ Candlestick colors based on trend: Green for bullish, Red for bearish
✅ Works on any market and timeframe
This indicator is perfect for traders who want a clearer perspective on price movement using moving average-based candlesticks. 🚀 Try it now and refine your market analysis! 📈🔥
[EmreKb] MTF FTRDescription
Multi time frame version of "Failed to Return by EmreKb" indicator.
What is FTR?
There is no definitive, fixed perspective on FTR. Some sources may choose the FTR zone differently. I will use the single bearish candle in an uptrend (or the single bullish candle in a downtrend) as the FTR in this indicator.
Settings
Update Last: Number of how many boxes will be updated in the new candle
Timeframes: Presets for timeframe option
Use Custom: For use custom timeframes
Custom Timeframes: Text area for write custom timeframes without space and separate with comma.
Ultimate T3 Fibonacci for BTC Scalping. Look at backtest report!Hey Everyone!
I created another script to add to my growing library of strategies and indicators that I use for automated crypto trading! This strategy is for BITCOIN on the 30 minute chart since I designed it to be a scalping strategy. I calculated for trading fees, and use a small amount of capital in the backtest report. But feel free to modify the capital and how much per order to see how it changes the results:)
It is called the "Ultimate T3 Fibonacci Indicator by NHBprod" that computes and displays two T3-based moving averages derived from price data. The t3_function calculates the Tilson T3 indicator by applying a series of exponential moving averages to a combined price metric and then blending these results with specific coefficients derived from an input factor.
The script accepts several user inputs that toggle the use of the T3 filter, select the buy signal method, and set parameters like lengths and volume factors for two variations of the T3 calculation. Two T3 lines, T3 and T32, are computed with different parameters, and their colors change dynamically (green/red for T3 and blue/purple for T32) based on whether the lines are trending upward or downward. Depending on the selected signal method, the script generates buy signals either when T32 crosses over T3 or when the closing price is above T3, and similarly, sell signals are generated on the respective conditions for crossing under or closing below. Finally, the indicator plots the T3 lines on the chart, adds visual buy/sell markers, and sets alert conditions to notify users when the respective trading signals occur.
The user has the ability to tune the parameters using TP/SL, date timerames for analyses, and the actual parameters of the T3 function including the buy/sell signal! Lastly, the user has the option of trading this long, short, or both!
Let me know your thoughts and check out the backtest report!
Candle Gap ScannerThis code will compare the first candle with the second candle. If the highest value reached by the first candle is lower than the lowest value reached by the second candle, and this difference is greater than a percentage value that can be adjusted in the settings, it will place a red mark. Additionally, it will compare the first candle with the second candle again. If the lowest value reached by the first candle is higher than the highest value reached by the second candle, and this difference is greater than a percentage value that can be adjusted in the settings, it will place a red mark.
4Hour Zone SeparatorThis custom TradingView indicator draws vertical lines on your chart to visually separate the 4-hour trading zones within a single trading day. The indicator helps traders identify key time intervals throughout the day for better market analysis and decision-making.
Features:
• Time-Based Zones: The indicator divides the day into six distinct 4-hour periods, starting from midnight (00:00) and continuing every 4 hours. Each zone is marked by a vertical line on the chart.
• User Customization: You can toggle the visibility of the lines for each 4-hour period (00:00, 04:00, 08:00, 12:00, 16:00, 20:00) based on your preference. This allows you to focus on specific zones that matter most for your analysis.
• Line Styling Options: Choose from three different line styles — Solid, Dashed, or Dotted — and adjust the thickness to your desired preference.
• Dynamic Time Adjustment: The indicator automatically adjusts for the time zone, ensuring that the 00:00 timestamp reflects the correct start of the day based on your chart’s time zone.
How It Works:
1. The indicator starts by calculating the beginning of the day at 00:00, then it sequentially places vertical lines every 4 hours.
2. Each line is color-coded for easy identification, and the lines stretch from the highest to the lowest point on the chart for that range.
3. The lines are drawn only when the chart enters a new 4-hour zone.
This tool is especially useful for day traders who want to track price action during specific times of the day and make informed decisions based on market behavior within each 4-hour period.
Extended RunShows number of bar closing above SMA5 in serie if serie is more than a set value
(default = 6)
Volatility Momentum Breakout StrategyDescription:
Overview:
The Volatility Momentum Breakout Strategy is designed to capture significant price moves by combining a volatility breakout approach with trend and momentum filters. This strategy dynamically calculates breakout levels based on market volatility and uses these levels along with trend and momentum conditions to identify trade opportunities.
How It Works:
1. Volatility Breakout:
• Methodology:
The strategy computes the highest high and lowest low over a defined lookback period (excluding the current bar to avoid look-ahead bias). A multiple of the Average True Range (ATR) is then added to (or subtracted from) these levels to form dynamic breakout thresholds.
• Purpose:
This method helps capture significant price movements (breakouts) while ensuring that only past data is used, thereby maintaining realistic signal generation.
2. Trend Filtering:
• Methodology:
A short-term Exponential Moving Average (EMA) is applied to determine the prevailing trend.
• Purpose:
Long trades are considered only when the current price is above the EMA, indicating an uptrend, while short trades are taken only when the price is below the EMA, indicating a downtrend.
3. Momentum Confirmation:
• Methodology:
The Relative Strength Index (RSI) is used to gauge market momentum.
• Purpose:
For long entries, the RSI must be above a mid-level (e.g., above 50) to confirm upward momentum, and for short entries, it must be below a similar threshold. This helps filter out signals during overextended conditions.
Entry Conditions:
• Long Entry:
A long position is triggered when the current closing price exceeds the calculated long breakout level, the price is above the short-term EMA, and the RSI confirms momentum (e.g., above 50).
• Short Entry:
A short position is triggered when the closing price falls below the calculated short breakout level, the price is below the EMA, and the RSI confirms momentum (e.g., below 50).
Risk Management:
• Position Sizing:
Trades are sized to risk a fixed percentage of account equity (set here to 5% per trade in the code, with each trade’s stop loss defined so that risk is limited to approximately 2% of the entry price).
• Stop Loss & Take Profit:
A stop loss is placed a fixed ATR multiple away from the entry price, and a take profit target is set to achieve a 1:2 risk-reward ratio.
• Realistic Backtesting:
The strategy is backtested using an initial capital of $10,000, with a commission of 0.1% per trade and slippage of 1 tick per bar—parameters chosen to reflect conditions faced by the average trader.
Important Disclaimers:
• No Look-Ahead Bias:
All breakout levels are calculated using only past data (excluding the current bar) to ensure that the strategy does not “peek” into future data.
• Educational Purpose:
This strategy is experimental and provided solely for educational purposes. Past performance is not indicative of future results.
• User Responsibility:
Traders should thoroughly backtest and paper trade the strategy under various market conditions and adjust parameters to fit their own risk tolerance and trading style before live deployment.
Conclusion:
By integrating volatility-based breakout signals with trend and momentum filters, the Volatility Momentum Breakout Strategy offers a unique method to capture significant price moves in a disciplined manner. This publication provides a transparent explanation of the strategy’s components and realistic backtesting parameters, making it a useful tool for educational purposes and further customization by the TradingView community.
Advanced Multi-Timeframe Trading System (Risk Managed)Description:
This strategy is an original approach that combines two main analytical components to identify potential trade opportunities while simulating realistic trading conditions:
1. Market Trend Analysis via an Approximate Hurst Exponent
• What It Does:
The strategy computes a rough measure of market trending using an approximate Hurst exponent. A value above 0.5 suggests persistent, trending behavior, while a value below 0.5 indicates a tendency toward mean-reversion.
• How It’s Used:
The Hurst exponent is calculated on both the chart’s current timeframe and a higher timeframe (default: Daily) to capture both local and broader market dynamics.
2. Fibonacci Retracement Levels
• What It Does:
Using daily high and low data from a selected timeframe (default: Daily), the script computes key Fibonacci retracement levels.
• How It’s Used:
• The 61.8% level (Golden Ratio) serves as a key threshold:
• A long entry is signaled when the price crosses above this level if the daily Hurst exponent confirms a trending market.
• The 38.2% level is used to identify short-entry opportunities when the price crosses below it and the daily Hurst indicates non-trending conditions.
Signal Logic:
• Long Entry:
When the price crosses above the 61.8% Fibonacci level (Golden Ratio) and the daily Hurst exponent is greater than 0.5, suggesting a trending market.
• Short Entry:
When the price crosses below the 38.2% Fibonacci level and the daily Hurst exponent is less than 0.5, indicating a less trending or potentially reversing market.
Risk Management & Trade Execution:
• Stop-Loss:
Each trade is risk-managed with a stop-loss set at 2% below (for longs) or above (for shorts) the entry price. This ensures that no single trade risks more than a small, sustainable portion of the account.
• Take Profit:
A take profit order targets a risk-reward ratio of 1:2 (i.e., the target profit is twice the amount risked).
• Position Sizing:
Trades are executed with a fixed position size equal to 10% of account equity.
• Trade Frequency Limits:
• Daily Limit: A maximum of 5 trades per day
• Overall Limit: No more than 510 trades during the backtesting period (e.g., since 2019)
These limits are imposed to simulate realistic trading frequency and to avoid overtrading in backtest results.
Backtesting Parameters:
• Initial Capital: $10,000
• Commission: 0.1% per trade
• Slippage: 1 tick per bar
These settings aim to reflect the conditions faced by the average trader and help ensure that the backtesting results are realistic and not misleading.
Chart Overlays & Visual Aids:
• Fibonacci Levels:
The key Fibonacci retracement levels are plotted on the chart, and the zone between the 61.8% and 38.2% levels is highlighted to show a key retracement area.
• Market Trend Background:
The chart background is tinted green when the daily Hurst exponent indicates a trending market (value > 0.5) and red otherwise.
• Information Table:
An on-chart table displays key parameters such as the current Hurst exponent, daily Hurst value, the number of trades executed today, and the global trade count.
Disclaimer:
Past performance is not indicative of future results. This strategy is experimental and provided solely for educational purposes. It is essential that you backtest and paper trade using your own settings before considering any live deployment. The Hurst exponent calculation is an approximation and should be interpreted as a rough gauge of market behavior. Adjust the parameters and risk management settings according to your personal risk tolerance and market conditions.
Additional Notes:
• Originality & Usefulness:
This script is an original mashup that combines trend analysis with Fibonacci retracement methods. The description above explains how these components work together to provide trading signals.
• Realistic Results:
The strategy uses realistic account sizes, commission rates, slippage, and risk management rules to generate backtesting results that are representative of real-world trading.
• Educational Purpose:
This script is intended to support the TradingView community by offering insights into combining multiple analysis techniques in one strategy. It is not a “get-rich-quick” system but rather an educational tool to help traders understand risk management and trade signal logic.
By using this script, you acknowledge that trading involves risk and that you are responsible for testing and adjusting the strategy to fit your own trading environment. This publication is fully open source, and any modifications should include proper attribution if significant portions of the code are reused.
[TehThomas] - Displacement CandlesOverview:
This PineScript is designed to detect and visualize significant price movements, called displacements, on a trading chart. It's particularly useful for traders who want to identify potential trend changes or strong market sentiment quickly.
How the Script Works
User Input:
The script allows users to set a custom threshold for displacement detection and choose colors for bullish and bearish movements.
Displacement Detection Function:
isDisplacement(series, threshold) =>
percentage_change = math.abs(series - series ) / series * 100
percentage_change > threshold
This function calculates the percentage change between the current and previous price.
If the change exceeds the set threshold, it's considered a displacement.
Bullish and Bearish Detection:
bullish_displacement = isDisplacement(close, threshold) and close > close
bearish_displacement = isDisplacement(close, threshold) and close < close
Identifies whether the displacement is bullish (price increase) or bearish (price decrease).
Candle Coloring:
barcolor(bullish_displacement ? bullish_color : bearish_displacement ? bearish_color : na)
Changes the color of candles based on the detected displacement type.
Usefulness and Applications:
Trend Identification: Helps in quickly spotting potential trend changes or continuations.
Volatility Analysis: Provides a visual representation of market volatility.
Entry and Exit Signals: Can be used to identify potential entry or exit points for trades.
Market Sentiment: Offers insights into the strength of bullish or bearish sentiment.
Customizable Sensitivity: The adjustable threshold allows traders to fine-tune the indicator based on the asset's typical volatility.
Visual Clarity: By changing candle colors, it provides a clear, at-a-glance view of significant price movements.
Complementary Tool: Can be used alongside other technical indicators for confirmation of signals.
Multiple Timeframe Analysis: Applicable across different timeframes to suit various trading styles (day trading, swing trading, etc.).
Educational Purpose: Helps new traders understand and visualize significant price movements in the market.
Backtesting: Can be incorporated into strategy backtests to assess its effectiveness in different market conditions.
This script is particularly handy for traders who want to cut through market noise and focus on significant price movements. It's versatile enough to be used across different trading strategies and can be a valuable addition to a trader's technical analysis toolkit.
It's a very easy script and not alot to mention. If you see any improvements please let me know.
Highest Price MarkerHighest Price Marker – Smart Label & Line Indicator
This Pine Script v5 indicator highlights the highest price reached within the last 100 bars on your chart. It visually enhances key price levels by:
✅ Placing a label at the highest price, positioned 3 candles to the left for clarity.
✅ Drawing a line connecting the label to the actual high for better visibility.
✅ Auto-updating dynamically whenever a new highest price is detected.
This is useful for traders who want to quickly identify resistance levels or analyze historical price peaks without cluttering the chart.
🔹 How to Use:
Add the indicator to your chart.
Look for the red label marking the highest price within the last 100 bars.
The horizontal line helps track the exact price level.
💡 Customization Ideas:
Adjust the lookback period (length = 100) to detect longer or shorter trends.
Modify colors or label positioning to suit your preferences.
🚀 Perfect for:
🔸 Price Action Traders
🔸 Swing & Breakout Traders
🔸 Support & Resistance Analysis
HTF Candle Range Box (Fixed to HTF Bars)### **Higher Timeframe Candle Range Box (HTF Box Indicator)**
This indicator visually highlights the price range of the most recently closed higher-timeframe (HTF) candle, directly on a lower-timeframe chart. It dynamically adjusts based on the user-selected HTF setting (e.g., 15-minute, 1-hour) and ensures that the box is displayed only on the bars that correspond to that specific HTF candle’s duration.
For instance, if a trader is on a **1-minute chart** with the **HTF set to 15 minutes**, the indicator will draw a box spanning exactly 15 one-minute candles, corresponding to the previous 15-minute HTF candle. The box updates only when a new HTF candle completes, ensuring that it does not change mid-formation.
---
### **How It Works:**
1. **Retrieves Higher Timeframe Data**
The script uses TradingView’s `request.security` function to pull **high, low, open, and close** values from the **previously completed HTF candle** (using ` ` to avoid repainting). It also fetches the **high and low of the candle before that** (using ` `) for comparison.
2. **Determines Breakout Behavior**
It compares the **last closed HTF candle** to the **one before it** to determine whether:
- It **broke above** the previous high.
- It **broke below** the previous low.
- It **broke both** the high and low.
- It **stayed within the previous candle’s range** (no breakout).
3. **Classifies the Candle & Assigns Color**
- **Green (Bullish)**
- Closes above the previous candle’s high.
- Breaks below the previous candle’s low but closes back inside the previous range **if it opened above** the previous high.
- **Red (Bearish)**
- Closes below the previous candle’s low.
- Breaks above the previous candle’s high but closes back inside the previous range **if it opened below** the previous low.
- **Orange (Neutral/Indecisive)**
- Stays within the previous candle’s range.
- Breaks both the high and low but closes inside the previous range without a clear bias.
4. **Box Placement on the Lower Timeframe**
- The script tracks the **bar index** where each HTF candle starts on the lower timeframe (e.g., every 15 bars on a 1-minute chart if HTF = 15 minutes).
- It **only displays the box on those bars**, ensuring that the range is accurately reflected for that time period.
- The box **resets and updates** only when a new HTF candle completes.
---
### **Key Features & Advantages:**
✅ **Clear Higher Timeframe Context:**
- The indicator provides a structured way to analyze HTF price action while trading in a lower timeframe.
- It helps traders identify **HTF support and resistance zones**, potential **breakouts**, and **failed breakouts**.
✅ **Fixed Box Display (No Mid-Candle Repainting):**
- The box is drawn **only after the HTF candle closes**, avoiding misleading fluctuations.
- Unlike other indicators that update live, this one ensures the trader is looking at **confirmed data** only.
✅ **Flexible Timeframe Selection:**
- The user can set **any HTF resolution** (e.g., 5min, 15min, 1hr, 4hr), making it adaptable for different strategies.
✅ **Dynamic Color Coding for Quick Analysis:**
- The **color of the box reflects the market sentiment**, making it easier to spot trends, reversals, and fake-outs.
✅ **No Clutter – Only Applies to the Relevant Bars:**
- Instead of spanning across the whole chart, the range box is **only visible on the bars belonging to the last HTF period**, keeping the chart clean and focused.
---
### **Example Use Case:**
💡 Imagine a trader is scalping on the **1-minute chart** but wants to factor in **HTF 15-minute structure** to avoid getting caught in bad trades. With this indicator:
- They can see whether the last **15-minute candle** was bullish, bearish, or indecisive.
- If it was **bullish (green)**, they may look for **buying opportunities** at lower timeframes.
- If it was **bearish (red)**, they might anticipate **a potential pullback or continuation down**.
- If the **HTF candle failed to break out**, they know the market is **ranging**, avoiding unnecessary trades.
---
### **Final Thoughts:**
This indicator is a **powerful addition for traders who combine multiple timeframes** in their analysis. It provides a **clean and structured way to track HTF price movements** without cluttering the chart or requiring constant manual switching between timeframes. Whether used for **intraday trading, swing trading, or scalping**, it adds an extra layer of confirmation for trade entries and exits.
🔹 **Best for traders who:**
- Want **HTF structure awareness while trading lower timeframes**.
- Need **confirmation of breakouts, failed breakouts, or indecision zones**.
- Prefer a **non-repainting tool that only updates after confirmed HTF closes**.
Let me know if you want any adjustments or additional features! 🚀
Dynamic 200 EMA with Trend-Based ColoringDescription:
This script plots the 200-period Exponential Moving Average (EMA) and dynamically changes its color based on the trend direction. The script helps traders quickly identify whether the price is above or below the 200 EMA, which is widely used as a long-term trend indicator.
How It Works:
The script calculates the 200 EMA based on the closing price.
If the price is above the EMA, it suggests a bullish trend, and the EMA line turns green.
If the price is below the EMA, it suggests a bearish trend, and the EMA line turns red.
An optional background color is added to enhance visual clarity, highlighting the current trend direction.
Use Cases:
Trend Confirmation: Helps traders determine if the overall trend is bullish or bearish.
Support and Resistance: The 200 EMA is often used as dynamic support/resistance.
Entry & Exit Signals: Traders can use crossovers with the 200 EMA as potential trade signals.
This script is designed for traders looking for a simple yet effective way to incorporate trend visualization into their charts. It is fully open-source and can be customized to fit individual trading strategies.
Advanced 1-Minute Open Range Breakout IndicatorThis indicator is designed for the market on a 1-minute chart. It calculates the open range based on the first 5 minutes after the market open (09:30 – 09:35) and plots the high and low of this period as the daily resistance and support levels respectively. Additionally, the indicator displays the previous day’s high and low as blue horizontal lines, providing extra reference levels.
Trade signals are generated only during the active trading session (09:35 – 16:00). The advanced trade logic works as follows:
• For long entries:
- When the price first breaks above the open range high, the indicator enters a “breakout” state.
- If the price then retraces to (or below) the open range high, it moves to a “retest” state.
- Finally, if the price breaks above the open range high again, a long signal is issued.
• For short entries:
- When the price first breaks below the open range low, the indicator enters a “breakdown” state.
- If the price then retraces to (or above) the open range low, it moves to a “retest” state.
- Finally, if the price breaks below the open range low again, a short signal is issued.
All signals and the open range lines are only displayed during the trading session (09:35 to 16:00).
Use this indicator to help identify high-probability breakout setups in the early part of the trading day.
PullBack_Level_HunterThis script creates an "Auto Fibonacci" indicator that automatically plots selected Fibonacci retracement levels on a chart, based on a defined lookback period. Users can choose from various Fibonacci levels (0.236, 0.382, 0.5, 0.618, or 0.786) via a dropdown input, allowing for quick adjustments to analysis.
**Key Features:**
1. **Fibonacci Level Selection:** Users can select from multiple Fibonacci levels (0.236, 0.382, 0.5, 0.618, and 0.786) for analysis.
2. **Lookback Period:** The script allows users to define a lookback period to determine the highest high and the lowest low for plotting Fibonacci levels.
3. **Fibonacci Level Calculation:** The Fibonacci levels are calculated using two functions:
- `fib_level`: Calculates the Fibonacci level based on the highest high and lowest low of the lookback period.
- `fib_level_from_current`: Calculates the Fibonacci level from the current candle’s high.
4. **Plotting:** The script plots the selected Fibonacci level on the chart, using a red line for the general Fibonacci level and a blue line for the level calculated from the current high.
5. **Dynamic Visualization:** The Fibonacci levels are drawn as step lines to clearly visualize price levels based on historical data and current price action.
This tool is ideal for traders who wish to quickly assess key Fibonacci levels for potential support or resistance within a customizable lookback period.
ICT Concepts: MML, Order Blocks, FVG, OTECore ICT Trading Concepts
These strategies are designed to identify high-probability trading opportunities by analyzing institutional order flow and market psychology.
1. Market Maker Liquidity (MML) / Liquidity Pools
Idea: Institutional traders ("market makers") place orders around key price levels where retail traders’ stop losses cluster (e.g., above swing highs or below swing lows).
Application: Look for "liquidity grabs" where price briefly spikes to these levels before reversing.
Example: If price breaks a recent high but reverses sharply, it may indicate a liquidity grab to trigger retail stops before a trend reversal.
2. Order Blocks (OB)
Idea: Institutional orders are often concentrated in specific price zones ("order blocks") where large buy/sell decisions occurred.
Application: Identify bullish order blocks (strong buying zones) or bearish order blocks (strong selling zones) on higher timeframes (e.g., 1H/4H charts).
Example: A bullish order block forms after a strong rally; price often retests this zone later as support.
3. Fair Value Gap (FVG)
Idea: A price imbalance occurs when candles gap without overlapping, creating an area of "unfair" price that the market often revisits.
Application: Trade the retracement to fill the FVG. A bullish FVG acts as support, and a bearish FVG acts as resistance.
Example: Three consecutive candles create a gap; price later returns to fill this gap, offering a entry point.
4. Time-Based Analysis (NY Session, London Kill Zones)
Idea: Institutional activity peaks during specific times (e.g., 7 AM – 11 AM New York time).
Application: Focus on trades during high-liquidity periods when banks and hedge funds are active.
Example: The "London Kill Zone" (2 AM – 5 AM EST) often sees volatility due to European market openings.
5. Optimal Trade Entry (OTE)
Idea: A retracement level (similar to Fibonacci retracement) where institutions re-enter trends after a pullback.
Application: Look for 62–79% retracements in a trend to align with institutional accumulation/distribution zones.
Example: In an uptrend, price retraces 70% before resuming upward—enter long here.
6. Stop Hunts
Idea: Institutions manipulate price to trigger retail stop losses before reversing direction.
Application: Avoid placing stops at obvious levels (e.g., above/below recent swings). Instead, use wider stops or wait for confirmation.
True Liquidity BlocksSo basically I've been deep diving into liquidity trading concepts similar to ICT (Inner Circle Trader) and developed an indicator that breaks down market movement through a volume-centric lens.
Key Concept:
Markets move not just by price, but by resolving trapped positions
Volume segments, not time intervals, show true market dynamics
VWAP (Volume Weighted Average Price) becomes a key structural reference
What Makes This Different:
Tracks volume segments instead of fixed time frames
Identifies "trapped" trader positions
Measures liquidity level efficiency
Color-codes bars based on nearest liquidity zone
Indicator Features:
Cyan/Red liquidity levels showing buy/sell pressure
Efficiency tracking for each level
Dynamic volume-based segmentation
Bar coloring to show nearest liquidity zone
Theoretical Inspiration: Viewed markets as energy systems where:
Positions create potential energy
Price movement resolves this energy
Trends form through systematic position liquidation
VWAP Recalculation in Each Segment:
Segment Start:
VWAP resets when volume threshold User Inputtable (600,000) is reached
Uses the last 4 price values (High, Low, Close, Close) for calculation
Weighted by volume traded during that segment
Calculation Method:
pineCopy = ta.vwap(hlcc4, na(segment_start) ? true : na, 1)
hlcc4: Combines high, low, close prices
na(segment_start): Ensures reset at new segment
Weighted by volume, not equal time intervals
Key Points:
Dynamic recalculation each segment
Reflects most recent trading activity
Provides real-time fair price reference
Tracks positioning
Essentially, VWAP resets and recalculates with each new volume segment, creating a rolling, volume-weighted average price that maps trader positioning.
BSL (Buy Side Liquidity) and SSL (Sell Side Liquidity) Explained:
When a volume segment closes relative to VWAP, it creates natural positioning traps:
BSL (Cyan) - Created when price closes BELOW THAT SEGMENT'S VWAP:
Bulls are positioned BELOW VWAP (trapped)
Shorts are positioned ABOVE VWAP (In Profit)
SSL (Red) - Created when price closes ABOVE THAT SEGMENT"S VWAP:
Bulls are positioned ABOVE VWAP (trapped)
Shorts are positioned BELOW VWAP (trapped)
Core Mechanism:
VWAP acts as a reference point for trader positioning
Trapped positions create inherent market tension
Levels expand to show accumulating pressure
Color-coded for quick identification of potential move direction
The goal: Visualize where traders are likely "stuck" and must eventually resolve their positions or liquidate other's, driving market movement.
It was just a fun experiment but If ya'll have any thoughts on it or what I could do to improve it, I would appreciate it.
Just a little note, It's optimized for futures, but if u uncheck the "Rest at Futures Open ?" setting, it allow full reign of any asset with volume data.
[GrandAlgo] MTF Historical Highs and LowsMany traders rely on weekly highs and lows to identify key market levels, but what if you could see how price reacted to these levels in past weeks, months, or even years? With MTF Historical Highs and Lows, you can visualize all past highs, lows, and midpoints from any timeframe, allowing you to refine your strategy and make more informed trading decisions.
This indicator retrieves and plots historical highs, lows, and midpoints based on a user-selected timeframe (default: Weekly). It dynamically updates, ensuring that all significant price levels remain visible on your chart. Additionally, smart filtering helps you focus only on relevant levels, and alerts notify you when price interacts with key zones.
Key Features:
✅ Automatically Fetches & Plots Historical Highs, Lows, and Midpoints
✅ Customizable Timeframes (default: Weekly, but adjustable)
✅ Visibility Filtering – Hides lines that are too far from the current price
✅ Alerts for Key Levels – Get notified when price touches an important historical level
✅ Customizable Colors & Display Preferences for clarity
How It Works:
1️⃣ Select a Date Range – Focus on historical levels that are most relevant to the current market conditions
2️⃣ Choose a Timeframe – Use Weekly, Monthly, or any timeframe that suits your strategy.
3️⃣ Enable Highs, Lows, and Midpoints – Customize what you want to see.
4️⃣ Adjust Filtering – Hide lines that are too far from the current price to reduce clutter.
5️⃣ Get Alerts – Be notified when price reaches a historical level for potential trade setups.
Ideal for Traders Who:
Trade Support & Resistance Levels – Understand how price reacts at historical highs and lows.
Analyze Market Structure – Identify key areas where price may reverse or break out.
Want Smart Alerts – Stay informed without staring at charts all day.
E9 MM Nuke signalScript identifies wickless candles on a specified higher timeframe and plots them on a lower timeframe (If desired), such as 15 minutes. It includes options to adjust the margin for error (e.g. 5 tick wick), higher timeframe, and toggle the volume filter with period adjustment.
Wickless candles signal strong market sentiment shifts, indicating areas of significant buying or selling pressure. These areas can become key levels of support or resistance, making them crucial to monitor for potential price revisits.
Why Price Revisits Wickless Areas
Manipulators often create artificial wickless candles to deceive traders. However, genuine market movements can also produce wickless candles, indicating a strong consensus among market participants. In either case, the price is likely to revisit these areas as traders and investors react to the perceived market sentiment shift.
Key Features:
Margin Input:
Description: Allows users to specify the margin in 0.01 tick increments to account for small wicks due to spread issues.
Example: A margin of 0.05 ticks means the script will consider candles wickless if the high is within 0.05 ticks of the open and the low is within 0.05 ticks of the open.
Volume Filter:
Description: Users can enable or disable a volume filter to consider only candles with a volume greater than the average volume over a specified period.
Default: Enabled by default.
Volume Period Input: Users can specify the period for calculating the average volume (e.g., 9 periods).
Higher Timeframe Input:
Description: Allows users to select the higher timeframe on which to identify wickless candles.
Options: H4 ("240"), Daily ("D"), Weekly ("W"), Monthly ("M").
Plotting:
Bearish Wickless Candles: Plotted with a red circle and a "🐻" emoji above the bar.
Bullish Wickless Candles: Plotted with a green circle and a "🐂" emoji below the bar.
Sadosi Gap SelecterThis indicator is designed to be used on daily charts. Please note that it will not work with weekly or hourly data.
The Sadosi Gap Selecter is a powerful indicator designed to identify price gaps that occur between specific dates on the chart. It allows users to easily analyze price movements between selected weeks and days, highlighting these periods with visual boxes. This helps traders spot potential trend reversals and key price levels more effectively. It’s particularly valuable for those utilizing gap trading strategies to identify market inefficiencies.
The core functionality of this indicator is based on detecting price differences between two selected days within a defined date range. With the Start Day (day1) and End Day (day2) options, you can choose the exact days of the week you’d like to analyze. For instance, if you want to focus on price movements from Friday to Monday, simply select those days. Additionally, the Start Week (week1) and End Week (week2) settings allow you to narrow down the time frame on a weekly basis, making it easy to analyze price behavior during specific periods of the year.
For visual customization, several options are available. The Color (renk) setting lets you choose between red and yellow for the highlighted boxes. The Transparency (op) control adjusts the background opacity from 0% (fully opaque) to 100% (completely transparent), allowing you to manage how prominently the boxes appear on your chart. Furthermore, the Border (hat) option enables you to add or remove borders around the boxes, helping reduce visual clutter or emphasize certain areas depending on your preference.
Once applied to the chart, the indicator automatically generates boxes for the specified date ranges. The upper and lower bounds of each box are determined based on the price movement within that period, providing insights into the direction and strength of the trend. However, this tool does not generate definitive buy or sell signals on its own. It is recommended to use it alongside other technical analysis tools to make more informed trading decisions.
With the Sadosi Gap Selecter, you can gain clearer insights into price behavior, strengthen your trend analyses using historical data, and fully customize the settings to match your trading style for more effective results.
This indicator is designed to be used on daily charts. Please note that it will not work with weekly or hourly data
