True PivotMulti-Asset Swing Point Comparison Guide (Combined Bullish & Bearish)
This guide explains the key steps for checking if all three assets show a swing point (using a 3-candle formation) at the same time, and then plotting a marker accordingly.
Ticker Assignment:
Choose between custom tickers or automatic assignment via a switch-case based on the current symbol.
Data Request:
Use request.security() to fetch the high and low values for each asset in the current timeframe.
Swing Point Calculation:
For each asset, determine if the middle candle (index ) is a swing point by comparing it with the preceding (index ) and following candle (index ):
Swing High: high > high and high > high
Swing Low: low < low and low < low .
Comparison & Marker Plotting:
Combine the swing point conditions from all three assets. If all assets simultaneously meet the swing high condition, plot a red marker above the bar; if all meet the swing low condition, plot a green marker below the bar using plotshape() with an appropriate offset.
This single script handles both bullish and bearish scenarios, avoiding duplicate code.
Candlestick analysis
Mickey's BBMickey's BB – Smart Reversal Detector with SL Tracking 🔁
This indicator combines the power of Bollinger Bands with engulfing candle patterns to identify high-probability reversal points.
✅ Buy Signal: Triggered when a red candle touches the lower Bollinger Band and is engulfed by a green candle within the next few candles.
✅ Sell Signal: Triggered when a green candle touches the upper Bollinger Band and is engulfed by a red candle within the next few candles.
✅ Smart Lookahead: Scans up to X candles ahead (user-defined) to confirm engulfing reversals — reducing noise in sideways markets.
✅ Dynamic Stop-Loss & Target: Automatically plots SL/TP levels based on user-defined % thresholds.
✅ SL HIT Labels: Highlights exactly when a stop-loss is breached, giving clear visual feedback on trade failures.
✅ Adaptive Market Filter: Signals are only shown when Bollinger Band width exceeds a minimum threshold — filtering out weak/noise signals in low volatility.
🔍 Ideal for reversal traders, scalpers, and those who love combining price action with volatility-based setups.
🛠️ Customizable Parameters:
SMA Period & Std Dev Multiplier (for BB)
SL/Target % levels
Engulf Lookahead range
Minimum BB width to filter signals
🎯 Build it into your strategy, set alerts, or just use it visually to time your entries and exits with clarity.
Qullamaggie [Modified] | FractalystWhat's the purpose of this strategy?
The strategy aims to identify high-probability breakout setups in trending markets, inspired by Kristjan "Qullamaggie" Kullamägi’s approach.
It focuses on capturing explosive price moves after periods of consolidation, using technical criteria like moving averages, breakouts, trailing stop-loss and momentum confirmation.
Ideal for swing traders seeking to ride strong trends while managing risk.
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How does the strategy work?
The strategy follows a systematic process to capture high-momentum breakouts:
Pre-Breakout Criteria:
Prior Price Surge: Identifies stocks that have rallied 30-100%+ in recent month(s), signaling strong underlying momentum (per Qullamaggie’s volatility expansion principles).
Consolidation Phase: Looks for a tightening price range (e.g., flag, pennant, or tight base), indicating a potential "coiling" before continuation.
Trend Confirmation: Uses moving averages (e.g., 20/50/200 EMA) to ensure the stock is trading above key averages on the daily chart, confirming an uptrend.
Price Break: Enters when price clears the consolidation high with conviction.
Risk Management:
Initial Stop Loss: Placed below the consolidation low or a recent swing point to limit downside.
Break-Even Adjustment: Moves stop loss to breakeven once the trade reaches 1.5x risk-to-reward (RR), securing a "free trade" while letting winners run.
Trailing Stop (Unique Edge):
Market Structure Trailing: Instead of trailing via moving averages, the stop is dynamically adjusted using structural invalidation level. This adapts to price action, allowing the trade to stay open during volatile retracements while locking in gains as new structure forms.
Why This Matters: Most strategies use rigid trailing stops (e.g., below the 10EMA), which often exit prematurely in choppy markets. By trailing based on structure, this strategy avoids "noise" and captures larger trends, directly boosting overall returns.
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What markets or timeframes is this suited for?
This is a long-only strategy designed for trending markets, and it performs best in:
Markets: Stocks (especially high-growth, liquid equities), cryptocurrencies (major pairs with strong volatility), commodities (e.g., oil, gold), and futures (index/commodity futures).
Timeframes: Primarily daily charts for swing trades (1-30 day holds), though weekly charts can help confirm broader trends.
Key Advantage: The TradingView script allows instant backtesting with adjustable parameters
You can:
- Test historical performance across multiple markets to identify which assets align best with the strategy.
- Optimize settings (e.g., trailing stop sensitivity, moving averages etc.) to match a market’s volatility profile.
Build a diversified portfolio by filtering for markets that show consistent profitability in backtests.
For example, you might discover cryptos require tighter trailing stops due to volatility, while stocks thrive with wider structural stops. The script automates this analysis, letting you to trade confidently.
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What indicators or tools does the strategy use?
The strategy combines customizable technical tools with strict anti-lookahead safeguards:
Core Indicators:
Moving Averages: Adjustable periods (e.g., 20/50/200 EMA or SMA) and timeframes (daily/weekly) to confirm trend alignment. Users can test combinations (e.g., 10EMA vs. 20EMA) to optimize for specific markets.
Breakout Parameters:
Consolidation Length: Adjustable window to define the "tightness" of the pre-breakout pattern.
Entry Models: Flexible entry logics (Breakouts and fractals)
Anti-Lookahead Design:
All calculations (e.g., moving averages, consolidation ranges, volume averages) use only closed/confirmed data available at the time of the signal.
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How do I manage risk with this strategy?
The strategy prioritizes customizable risk controls to align with your trading style and account size:
User-Defined Risk Inputs:
Risk Per Trade: Set a % of Equity (e.g., 1-2%) to determine position size. The strategy auto-calculates shares/contracts to match your selected risk per trade.
Flexibility: Choose between fixed risk or equity-based scaling.
The script adjusts position sizing dynamically based on your selection.
Pyramiding Feature:
Customizable Entries: Adjust the number of pyramiding trades allowed (e.g., 1-3 additional positions) in the strategy settings. Each new entry is triggered only if the prior trade hits its 1.5x RR target and the trend remains intact.
Risk-Scaled Additions: New positions use profits from prior trades, compounding gains without increasing initial risk.
Risk-Free Trade Mechanic:
Once a trade reaches 1.5x RR, the stop loss is moved to breakeven, eliminating downside risk.
The strategy then opens a new position (if pyramiding is enabled) using a portion of the locked-in profit. This "snowballs" winners while keeping total capital exposure stable.
Impact on Net Profit & Drawdown:
Net Profit Boost: Pyramiding lets you ride multi-leg trends aggressively. For example, a 100% runner could generate 2-3x more profit vs. a single-entry approach.
Controlled Drawdowns: Since new positions are funded by profits (not initial capital), max drawdown stays anchored to your original risk per trade (e.g., 1-2% of account). Even if later entries fail, the breakeven stop on prior trades protects overall equity.
Why This Works: Most strategies either over-leverage (increasing drawdowns) or exit too early. By recycling profits into new positions only after securing risk-free capital, this approach mimics hedge fund "scaling in" tactics while staying retail-trader friendly.
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How does the strategy identify market structure for its trailing stoploss?
The strategy identifies market structure by utilizing an efficient logic with for loops to pinpoint the first swing candle that features a pivot of 2. This marks the beginning of the break of structure, where the market's previous trend or pattern is considered invalidated or changed.
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What are the underlying calculations?
The underlying calculations involve:
Identifying Swing Points: The strategy looks for swing highs (marked with blue Xs) and swing lows (marked with red Xs). A swing high is identified when a candle's high is higher than the highs of the candles before and after it. Conversely, a swing low is when a candle's low is lower than the lows of the candles before and after it.
Break of Structure (BOS):
Bullish BOS: This occurs when the price breaks above the swing high level of the previous structure, indicating a potential shift to a bullish trend.
Bearish BOS: This happens when the price breaks below the swing low level of the previous structure, signaling a potential shift to a bearish trend.
Structural Liquidity and Invalidation:
Structural Liquidity: After a break of structure, liquidity levels are updated to the first swing high in a bullish BOS or the first swing low in a bearish BOS.
Structural Invalidation: If the price moves back to the level of the first swing low before the bullish BOS or the first swing high before the bearish BOS, it invalidates the break of structure, suggesting a potential reversal or continuation of the previous trend.
This method provides users with a technical approach to filter market regimes, offering an advantage by minimizing the risk of overfitting to historical data, which is often a concern with traditional indicators like moving averages.
By focusing on identifying pivotal swing points and the subsequent breaks of structure, the strategy maintains a balance between sensitivity to market changes and robustness against historical data anomalies, ensuring a more adaptable and potentially more reliable market analysis tool.
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What entry criteria are used in this script?
The script uses two entry models for trading decisions: BreakOut and Fractal.
Underlying Calculations:
Breakout: The script records the most recent swing high by storing it in a variable. When the price closes above this recorded level, and all other predefined conditions are satisfied, the script triggers a breakout entry. This approach is considered conservative because it waits for the price to confirm a breakout above the previous high before entering a trade. As shown in the image, as soon as the price closes above the new candle (first tick), the long entry gets taken. The stop-loss is initially set and then moved to break-even once the price moves in favor of the trade.
Fractal: This method involves identifying a swing low with a period of 2, which means it looks for a low point where the price is lower than the two candles before and after it. Once this pattern is detected, the script executes the trade. This is an aggressive approach since it doesn't wait for further price confirmation. In the image, this is represented by the 'Fractal 2' label where the script identifies and acts on the swing low pattern.
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What type of stop-loss identification method are used in this strategy?
This strategy employs two types of stop-loss methods: Initial Stop-loss and Trailing Stop-Loss.
Underlying Calculations:
Initial Stop-loss:
ATR Based: The strategy uses the Average True Range (ATR) to set an initial stop-loss, which helps in accounting for market volatility without predicting price direction.
Calculation:
- First, the True Range (TR) is calculated for each period, which is the greatest of:
- Current Period High - Current Period Low
- Absolute Value of Current Period High - Previous Period Close
- Absolute Value of Current Period Low - Previous Period Close
- The ATR is then the moving average of these TR values over a specified period, typically 14 periods by default. This ATR value can be used to set the stop-loss at a distance from the entry price that reflects the current market volatility.
Swing Low Based:
For this method, the stop-loss is set based on the most recent swing low identified in the market structure analysis. This approach uses the lowest point of the recent price action as a reference for setting the stop-loss.
Trailing Stop-Loss:
The strategy uses structural liquidity and structural invalidation levels across multiple timeframes to adjust the stop-loss once the trade is profitable. This method involves:
Detecting Structural Liquidity: After a break of structure, the liquidity levels are updated to the first swing high in a bullish scenario or the first swing low in a bearish scenario. These levels serve as potential areas where the price might find support or resistance, allowing the stop-loss to trail the price movement.
Detecting Structural Invalidation: If the price returns to the level of the first swing low before a bullish break of structure or the first swing high before a bearish break of structure, it suggests the trend might be reversing or invalidating, prompting the adjustment of the stop-loss to lock in profits or minimize losses.
By using these methods, the strategy dynamically adjusts the initial stop-loss based on market volatility, helping to protect against adverse price movements while allowing for enough room for trades to develop. The ATR-based stop-loss adapts to the current market conditions by considering the volatility, ensuring that the stop-loss is not too tight during volatile periods, which could lead to premature exits, nor too loose during calm markets, which might result in larger losses. Similarly, the swing low based stop-loss provides a logical exit point if the market structure changes unfavorably.
Each market behaves differently across various timeframes, and it is essential to test different parameters and optimizations to find out which trailing stop-loss method gives you the desired results and performance. This involves backtesting the strategy with different settings for the ATR period, the distance from the swing low, and how the trailing stop-loss reacts to structural liquidity and invalidation levels.
Through this process, you can tailor the strategy to perform optimally in different market environments, ensuring that the stop-loss mechanism supports the trade's longevity while safeguarding against significant drawdowns.
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What type of break-even method is used in this strategy? What are the underlying calculations?
Moves the initial stop-loss to the entry price when the price reaches a certain RR ratio.
Calculation:
Break-even level = Entry Price + (Initial Risk * RR Ratio)
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What tables are available in this script?
- Summary: Provides a general overview, displaying key performance parameters such as Net Profit, Profit Factor, Max Drawdown, Average Trade, Closed Trades and more.
Total Commission: Displays the cumulative commissions incurred from all trades executed within the selected backtesting window. This value is derived by summing the commission fees for each trade on your chart.
Average Commission: Represents the average commission per trade, calculated by dividing the Total Commission by the total number of closed trades. This metric is crucial for assessing the impact of trading costs on overall profitability.
Avg Trade: The sum of money gained or lost by the average trade generated by a strategy. Calculated by dividing the Net Profit by the overall number of closed trades. An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.
MaxDD: Displays the largest drawdown of losses, i.e., the maximum possible loss that the strategy could have incurred among all of the trades it has made. This value is calculated separately for every bar that the strategy spends with an open position.
Profit Factor: The amount of money a trading strategy made for every unit of money it lost (in the selected currency). This value is calculated by dividing gross profits by gross losses.
Avg RR: This is calculated by dividing the average winning trade by the average losing trade. This field is not a very meaningful value by itself because it does not take into account the ratio of the number of winning vs losing trades, and strategies can have different approaches to profitability. A strategy may trade at every possibility in order to capture many small profits, yet have an average losing trade greater than the average winning trade. The higher this value is, the better, but it should be considered together with the percentage of winning trades and the net profit.
Winrate: The percentage of winning trades generated by a strategy. Calculated by dividing the number of winning trades by the total number of closed trades generated by a strategy. Percent profitable is not a very reliable measure by itself. A strategy could have many small winning trades, making the percent profitable high with a small average winning trade, or a few big winning trades accounting for a low percent profitable and a big average winning trade. Most mean-reversion successful strategies have a percent profitability of 40-80% but are profitable due to risk management control.
BE Trades: Number of break-even trades, excluding commission/slippage.
Losing Trades: The total number of losing trades generated by the strategy.
Winning Trades: The total number of winning trades generated by the strategy.
Total Trades: Total number of taken traders visible your charts.
Net Profit: The overall profit or loss (in the selected currency) achieved by the trading strategy in the test period. The value is the sum of all values from the Profit column (on the List of Trades tab), taking into account the sign.
- Monthly: Displays performance data on a month-by-month basis, allowing users to analyze performance trends over each month and year.
- Weekly: Displays performance data on a week-by-week basis, helping users to understand weekly performance variations.
- UI Table: A user-friendly table that allows users to view and save the selected strategy parameters from user inputs. This table enables easy access to key settings and configurations, providing a straightforward solution for saving strategy parameters by simply taking a screenshot with Alt + S or ⌥ + S.
User-input styles and customizations:
Please note that all background colors in the style are disabled by default to enhance visualization.
How to Use This Strategy to Create a Profitable Edge and Systems?
Choose Your Strategy mode:
- Decide whether you are creating an investing strategy or a trading strategy.
Select a Market:
- Choose a one-sided market such as stocks, indices, or cryptocurrencies.
Historical Data:
- Ensure the historical data covers at least 10 years of price action for robust backtesting.
Timeframe Selection:
- Choose the timeframe you are comfortable trading with. It is strongly recommended to use a timeframe above 15 minutes to minimize the impact of commissions/slippage on your profits.
Set Commission and Slippage:
- Properly set the commission and slippage in the strategy properties according to your broker/prop firm specifications.
Parameter Optimization:
- Use trial and error to test different parameters until you find the performance results you are looking for in the summary table or, preferably, through deep backtesting using the strategy tester.
Trade Count:
- Ensure the number of trades is 200 or more; the higher, the better for statistical significance.
Positive Average Trade:
- Make sure the average trade is above zero.
(An important value since it must be large enough to cover the commission and slippage costs of trading the strategy and still bring a profit.)
Performance Metrics:
- Look for a high profit factor, and net profit with minimum drawdown.
- Ideally, aim for a drawdown under 20-30%, depending on your risk tolerance.
Refinement and Optimization:
- Try out different markets and timeframes.
- Continue working on refining your edge using the available filters and components to further optimize your strategy.
What Makes This Strategy Unique?
This strategy combines flexibility, smart risk management, and momentum focus in a way that’s rare and practical:
1. Adapts to Any Market Rhythm
Works on daily, weekly, or intraday charts without code changes.
Uses two entry types: classic breakouts (like trending stocks) or fractal patterns (to avoid false starts).
2. Smarter Stop-Loss System
No rigid rules: Stops adjust based on price structure (e.g., new “higher lows”), not fixed percentages.
Avoids whipsaws: Tightens stops only when the trend strengthens, not in choppy markets.
3. Safe Profit-Boosting Pyramiding
Adds new positions only after prior trades are risk-free (stops moved above breakeven).
Scales up using locked-in profits, not new capital, to grow gains safely.
4. Built-In Momentum Check
Tracks 1/3/6-month price growth to spotlight stocks with strong, lasting momentum.
Terms and Conditions | Disclaimer
Our charting tools are provided for informational and educational purposes only and should not be construed as financial, investment, or trading advice. They are not intended to forecast market movements or offer specific recommendations. Users should understand that past performance does not guarantee future results and should not base financial decisions solely on historical data.
Built-in components, features, and functionalities of our charting tools are the intellectual property of @Fractalyst Unauthorized use, reproduction, or distribution of these proprietary elements is prohibited.
- By continuing to use our charting tools, the user acknowledges and accepts the Terms and Conditions outlined in this legal disclaimer and agrees to respect our intellectual property rights and comply with all applicable laws and regulations.
Pinbar DetectorFinding a pinbars on m5 timeframe. In order for the indicator to search for pinbars specifically on the M5 timeframe (5 minutes), you need to set this value in the tf parameter by default. In the current code, the timeframe is set via input.timeframe, and you can either change it manually in the indicator settings after adding it to the chart, or set M5 directly in the code.
Here's how to do it:
Change in code: In the line with input.timeframe, replace the default value "D" with "5" (in Pine Script, timeframes are designated as follows: "5" for 5 minutes, "15" for 15 minutes, "60" for 1 hour, etc.).
Volume Delta Divergence + Bollinger Bands (Filtered)📌 Volume Delta Divergence with Bollinger Bands (Filtered)
This script combines Volume Delta Divergence detection with Bollinger Bands to help identify high-probability buy and sell signals based on volume behavior and price action.
🔍 Key Features:
✅ Divergence Detection: Identifies when price moves in one direction (green/red candle), but the delta volume (buy vs sell volume) moves in the opposite direction — a common sign of hidden weakness or strength.
✅ Volume Strength Filter: Filters out weak divergence signals by checking if the delta volume is significantly larger than its historical average (user-defined lookback).
✅ Breakout Confirmation: A signal is only triggered when the next candle breaks the high or low of the divergence candle.
✅ Bollinger Bands Overlay: Adds standard Bollinger Bands (20-period SMA ± 2 standard deviations by default) for trend and volatility analysis.
✅ Clean Signal Display: Plots "BUY" and "SELL" labels only when strong divergences occur, reducing noise and false signals.
⚙️ User Inputs:
Custom timeframe for volume delta analysis
Delta volume average lookback period
Bollinger Band settings (length & deviation)
🧠 How to Use:
Use the divergence signals in conjunction with Bollinger Band positioning.
Consider SELL signals stronger when they occur near the upper Bollinger Band, and BUY signals near the lower band.
Combine with price action or RSI for added confluence.
Bi Trend signalauto bot MT5 for XAU, BTC ETH, liên hệ tôi để biết thêm chi tiết cho các hạng mục coppy trade
Price action plus//The system combines the divergence of A/D and OBV with identifying reversal points using Japanese candlestick patterns, creating an enhanced version of price action. This helps investors more easily and accurately recognize reversal patterns in technical analysis.
Divergence of A/D vs. OBV includes:
Positive divergence: Identifies smart money leaving the market.
Negative divergence: Identifies smart money entering the market.
Reversal candlestick patterns include:
Buy signals: Morning Star, Bullish Engulfing, Hammer.
Strong Buy signals: Buy signals + Negative divergence
Sell signals: Evening Star, Bearish Engulfing, Shooting Star.
Strong Sell signals : Sell signals + Positive divergence
//Hope this system will be helpful for you!
VWAP + RSI Divergence Intraday
VWAP for trend confirmation
RSI divergence detection
Entry signals when price breaks above VWAP with increasing volume
Stop-loss & take-profit levels
Exhaustion and Gap Cluster Indicator V2Below is a complete Pine Script v5 indicator that attempts to meet all your requirements. It does the following:
1. Exhaustion Lines:
• When an “Uptrend Exhaustion?” condition is met, it draws a green horizontal line at that bar’s close that extends 500 bars to the right.
• When a “Downtrend Exhaustion?” condition is met, it draws a red horizontal line at that bar’s close that extends 500 bars to the right.
2. Gap Cluster Labels:
• It counts consecutive bars (a “cluster”) where the close is a certain percentage above or below the 200 SMA.
• If 10 or more consecutive bars close 2.5% above the 200 SMA, it plots a yellow label (above the bar) reading “Caution Gap.”
• If 10 or more consecutive bars close 3.0% above the 200 SMA, it plots an orange label (above the bar) reading “Danger Gap.”
• If 10 or more consecutive bars close 2.5% below the 200 SMA, it plots a yellow label (below the bar) reading “Caution Gap.”
• If 10 or more consecutive bars close 3.0% below the 200 SMA, it plots an orange label (above the bar) reading “Danger Gap.”
(Note: The instructions for the down gap labels are a bit asymmetrical, so I’ve followed them as stated.)
YEAH BOIIIIIIII
Exhaustion and Gap Cluster IndicatorBelow is a complete Pine Script v5 indicator that attempts to meet all your requirements. It does the following:
1. Exhaustion Lines:
• When an “Uptrend Exhaustion?” condition is met, it draws a green horizontal line at that bar’s close that extends 500 bars to the right.
• When a “Downtrend Exhaustion?” condition is met, it draws a red horizontal line at that bar’s close that extends 500 bars to the right.
2. Gap Cluster Labels:
• It counts consecutive bars (a “cluster”) where the close is a certain percentage above or below the 200 SMA.
• If 10 or more consecutive bars close 2.5% above the 200 SMA, it plots a yellow label (above the bar) reading “Caution Gap.”
• If 10 or more consecutive bars close 3.0% above the 200 SMA, it plots an orange label (above the bar) reading “Danger Gap.”
• If 10 or more consecutive bars close 2.5% below the 200 SMA, it plots a yellow label (below the bar) reading “Caution Gap.”
• If 10 or more consecutive bars close 3.0% below the 200 SMA, it plots an orange label (above the bar) reading “Danger Gap.”
(Note: The instructions for the down gap labels are a bit asymmetrical, so I’ve followed them as stated.)
Exhaustion and Gap Cluster IndicatorBelow is a complete Pine Script v5 indicator that attempts to meet all your requirements. It does the following:
1. Exhaustion Lines:
• When an “Uptrend Exhaustion?” condition is met, it draws a red horizontal line at that bar’s close that extends 500 bars to the right.
• When a “Downtrend Exhaustion?” condition is met, it draws a green horizontal line at that bar’s close that extends 500 bars to the right.
2. Gap Cluster Labels:
• It counts consecutive bars (a “cluster”) where the close is a certain percentage above or below the 200 SMA.
• If 10 or more consecutive bars close 2.5% above the 200 SMA, it plots a yellow label (above the bar) reading “Caution Gap.”
• If 10 or more consecutive bars close 3.0% above the 200 SMA, it plots an orange label (above the bar) reading “Danger Gap.”
• If 10 or more consecutive bars close 2.5% below the 200 SMA, it plots a yellow label (below the bar) reading “Caution Gap.”
• If 10 or more consecutive bars close 3.0% below the 200 SMA, it plots an orange label (above the bar) reading “Danger Gap.”
(Note: The instructions for the down gap labels are a bit asymmetrical, so I’ve followed them as stated.)
Open Price on Selected TimeframeIndicator Name: Open Price on Selected Timeframe
Short Title: Open Price mtf
Type: Technical Indicator
Description:
Open Price on Selected Timeframe is an indicator that displays the Open price of a specific timeframe on your chart, with the ability to dynamically change the color of the open price line based on the change between the current candle's open and the previous candle's open.
Selectable Timeframes: You can choose the timeframe you wish to monitor the Open price of candles, ranging from M1, M5, M15, H1, H4 to D1, and more.
Dynamic Color Change: The Open price line changes to green when the open price of the current candle is higher than the open price of the previous candle, and to red when the open price of the current candle is lower than the open price of the previous candle. This helps users quickly identify trends and market changes.
Features:
Easy Timeframe Selection: Instead of editing the code, users can select the desired timeframe from the TradingView interface via a dropdown.
Dynamic Color Change: The color of the Open price line changes automatically based on whether the open price of the current candle is higher or lower than the previous candle.
Easily Track Open Price Levels: The indicator plots a horizontal line at the Open price of the selected timeframe, making it easy for users to track this important price level.
How to Use:
Select the Timeframe: Users can choose the timeframe they want to track the Open price of the candles.
Interpret the Color Signal: When the open price of the current candle is higher than the open price of the previous candle, the Open price line is colored green, signaling an uptrend. When the open price of the current candle is lower than the open price of the previous candle, the Open price line turns red, signaling a downtrend.
Observe the Open Price Levels: The indicator will draw a horizontal line at the Open price level of the selected timeframe, allowing users to easily monitor this important price.
Benefits:
Enhanced Technical Analysis: The indicator allows you to quickly identify trends and market changes, making it easier to make trading decisions.
User-Friendly: No need to modify the code; simply select your preferred timeframe to start using the indicator.
Disclaimer:
This indicator is not a complete trading signal. It only provides information about the Open price and related trends. Users should combine it with other technical analysis tools to make more informed trading decisions.
Summary:
Open Price on Selected Timeframe is a simple yet powerful indicator that helps you track the Open price on various timeframes with the ability to change colors dynamically, providing a visual representation of the market's trend.
ORB x GridORB x Grid
The "ORB x Grid" indicator helps you spot the Opening Range Breakout (ORB) and its quarter points (25%, 50%, 75%) on your TradingView chart. Follow these simple steps to set it up.
1. Pick the Session Time
Open the indicator settings (right-click "ORB x Grid" in the chart legend, then click "Settings").
In the "Session Time" dropdown, choose a market opening session:
London Open: First 15 Minutes (8:00 AM - 8:15 AM GMT) or First 30 Minutes (8:00 AM - 8:30 AM GMT).
New York Open: First 15 Minutes (9:30 AM - 9:45 AM EST) or First 30 Minutes (9:30 AM - 10:00 AM EST).
Tokyo Open: First 15 Minutes (9:00 AM - 9:15 AM JST) or First 30 Minutes (9:00 AM - 9:30 AM JST).
Sydney Open: First 15 Minutes (7:00 AM - 7:15 AM AEDT) or First 30 Minutes (7:00 AM - 7:30 AM AEDT).
The timezone is automatically set based on your selection (e.g., "New York Open" uses "America/New_York").
2. Adjust the Session Background Color
In the settings, find "Session Background Color".
Click the color box to pick a new color (default is gray).
Adjust transparency (0% = solid, 100% = invisible) to make it more or less visible.
3. Adjust the Range Background Color
In the settings, find "Range Background Color".
Click the color box to pick a new color (default is blue).
Adjust transparency to make the fill between the ORB high and low more or less visible.
4. Pick the Quarter Point Color
In the settings, find "Quarter Point Color (Lines and Price Scale)".
Click the color box to pick a new color for the quarter point lines (default is yellow).
To change the price scale marker colors:
Go to the "Style" tab in the settings.
Adjust the colors for "ORB 25%", "ORB 50%", and "ORB 75%" to match your quarter point lines.
What You’ll See on the Chart
Session Background: A colored background (e.g., gray) during your selected session (e.g., 9:30 AM - 9:45 AM for New York Open).
ORB High and Low: Green (high) and red (low) lines showing the session’s range, visible on all timeframes.
Range Fill: A colored fill (e.g., blue) between the high and low.
Quarter Points: Dashed lines (e.g., yellow) at the 25%, 50%, and 75% levels after the session ends.
Price Scale Markers: The quarter points (e.g., 20,493.75) marked on the right-hand price scale.
HTF Candle with interval Separator (Murshid FX)// ========== KEY FEATURES ========== //
// 1. Higher Timeframe (HTF) Candles Visualization
// 2. Automatic Interval Separation line & Boxes
// 3. Customizable HTF Periods (1-6 timeframes)
// 4. Clean Price Action Organization
// 5. Symbol Info & Time Display
// 6. Professional Watermark
// ================================== //
TJR Strategy Ultimate ProAll done — your TJR Strategy Ultimate indicator is now fully coded and live in the canvas.
This version includes:
Liquidity sweeps
OB and FVG zones
Session filter
RSI + multi-timeframe bias
Alerts + webhook formatting
Auto-drawing Entry / SL / TP boxes
Dashboard panel
Previous session highs/lows & equal highs/lows
Estrategia EMA + RSIElser Senior Strategy: A Precise Approach to Profitable Trading
The Elser Senior strategy is designed for traders looking to take advantage of the best market opportunities with a robust technical approach. Using a combination of Exponential Moving Averages (EMA) and the Relative Strength Index (RSI), this strategy identifies key entry and exit points, allowing you to maximize profits and minimize risks.
Short and Long EMAs: Accurately detect the market trend, providing clear buy and sell signals.
RSI: Filters out false breakouts, focusing on overbought and oversold levels for more informed decision-making.
Customizable Stop Loss and Take Profit: Protects your capital with risk management settings tailored to your needs. Set a personalized Stop Loss and TP/SL ratio, optimizing your chances of success.
This strategy works across the most popular timeframes: 15 minutes, 1 hour, 4 hours, and 1 day, allowing you to adapt to different trading styles, from intraday to long-term positions.
Ideal for Forex, Indices, Commodities, and Cryptocurrencies, the Elser Senior Strategy has been crafted for serious traders seeking consistency and reliability in their operations. With a clear and easy-to-follow structure, it is perfect for both novice and experienced traders.
Follow the signals, optimize your risk management, and achieve successful trading with Elser Senior!
OG Candlestick Pattern Finder [Ultimate Edition]🕵️♂️ OG Candlestick Pattern Finder
By @OG_Wealth
This powerful Pine Script v5 indicator is designed to help traders visually identify high-probability candlestick patterns and chart formations on any timeframe.
🔍 What It Detects:
✅ Classic Candlestick Patterns
Bullish/Bearish Engulfing
Hammer / Shooting Star
Morning Star / Evening Star
Doji
3 White Soldiers / 3 Black Crows
✅ Chart Formations
Falling Wedge / Rising Wedge
Bullish & Bearish Flag
Cup & Handle (simplified)
🎯 Features:
Clean, color-coded arrow labels with pattern names
Small arrows avoid clutter and highlight candles without overlapping
Lightweight performance with real-time detection
Subtle trendlines for chart formations using thin, semi-transparent overlays
Built fully in Pine Script v5
Works across all assets and timeframes
Note: This script is for educational and informational purposes only. It does not constitute financial advice or a recommendation to buy or sell any asset.
📌 Want to enhance it with toggles, alerts, or volume filters? Follow me and stay tuned for updates.
If you find it helpful, leave a like ❤️ and drop a comment to support future tools!
SMC_PRO+ ALTCOINS x20 1. Always stick to timeframes above 15m (WORKING BEST ON 30MIN)
2. Apply strictly position size management and proper RR
3. Try to catch winners and cut losers
ENJOY
Malama's Candle SniperMalama's Candle Sniper - Indicator Description
Purpose
"Malama's Candle Sniper" is a powerful TradingView indicator designed to help traders identify key candlestick patterns that signal potential reversals or continuations in price action. Whether you're looking to catch the start of a bullish uptrend or spot a bearish downturn before it happens, this tool simplifies the process by automatically detecting and labeling a wide range of classic candlestick formations. It solves a common problem for traders: the time-consuming task of manually scanning charts for reliable patterns, making it easier to focus on decision-making and strategy execution.
How It Works
The indicator uses predefined logic to analyze candlestick data—open, high, low, and close prices—across multiple bars to detect specific patterns. It’s split into two categories: bullish patterns (e.g., Bullish Engulfing, Morning Star, Hammer) that suggest upward momentum, and bearish patterns (e.g., Bearish Engulfing, Three Black Crows, Hanging Man) that hint at downward pressure. Each pattern is coded with conditions based on price relationships, such as the size of candle bodies, wicks, or gaps between bars. When a pattern forms, the indicator places a clear label directly on your chart, color-coded green for bullish and red for bearish, so you can spot opportunities at a glance.
The script ensures accuracy by only triggering a label when a pattern transitions from "not present" to "detected," avoiding clutter from repetitive signals. This focus on precision makes it a reliable companion for timing entries and exits.
How to Use It
Adding to TradingView: Open TradingView, click "Indicators" at the top, search for "Malama's Candle Sniper," and add it to your chart. Since it’s an overlay indicator, it works directly on your price candles without cluttering a separate panel.
Configuring Settings: There are no adjustable inputs by default, making it beginner-friendly—just apply it and start trading! For pros, you can dive into the script to tweak pattern definitions (e.g., adjusting wick-to-body ratios) if you prefer custom sensitivity.
Interpreting Signals: Look for green labels above candles for bullish setups—these suggest potential buying opportunities. Red labels below candles indicate bearish setups, signaling possible sell or short positions. Pair these signals with your existing strategy, like support/resistance levels or trend direction, for confirmation.
Beginner Tip: Start with a daily or 4-hour chart to practice spotting patterns in less noisy conditions before moving to shorter timeframes.
Pro Tip: Combine with volume analysis or a trend indicator (like a moving average) to filter out weaker signals and boost reliability.
Originality
What makes "Malama's Candle Sniper" stand out is its comprehensive coverage and user-friendly design. While many indicators focus on just one or two candlestick patterns, this script packs over 20 patterns—both bullish and bearish—into a single tool, from common ones like the Hammer to rarer setups like the Abandoned Baby or Three Line Strike. The clean, color-coded labeling system also sets it apart, offering instant visual clarity without overwhelming your chart. Unlike generic pattern scanners, it’s built to minimize false positives by only highlighting newly formed patterns, giving traders a sharper edge in fast-moving markets. Whether you’re a newbie learning the ropes or a seasoned trader refining your edge, this indicator delivers a unique blend of simplicity, depth, and precision.
Supply & Demand Zones
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Supply and Demand Zones
This indicator displays valid Supply and Demand zones on any chart and timeframe, using dynamically updating visuals. Users can see the moment that zones become validated, used, and then invalidated during live sessions. It is sleek, lightweight, and offers a feature-rich settings panel that allows customization of how each element appears and functions. Zones can enhance the probability of successful trades by locating areas that are most likely to contain resting orders of Supply or Demand, which are needed for price reversals.
Disclaimer
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Like all indicators, this can be a valuable tool when incorporated into a comprehensive, risk-based trading system.
Supply and Demand is not the same thing as Support and Resistance.
Trading based on price hitting a zone without understanding which zones are of higher quality and which are of lower quality (only discernible with a trained human eye) will yield poor results.
Supply and Demand works well as a system and even better when added to an existing one. However, like all effective trading techniques, it requires diligent study, practice, and repetition to become proficient. This is an indicator for use with Supply and Demand concepts, not a replacement for learning them.
Features
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Once a valid candle sequence is confirmed, a box will appear that displays the zone over the precise zone range. At 50% zone penetration, a zone becomes used , and at 100% it becomes invalidated . Each of these zone classifications changes the behavior of the zone on the chart immediately. The settings panel offers custom colors for Supply , Demand , Used , and Invalidated zone types.
Borders : The subtle border colors can be changed or hidden.
Boxes or Bases : Advanced users can opt to hide zone boxes and instead display small, subtle tags over base candle groups. This allows for more customizable selection over what is displayed and how.
Max Zones and Hide Invalidated :
There are limitations on how many objects TradingView allows at once. Because of this, once zones go from used to invalidated , they are hidden (deleted) by default. This allows the zones index to be allocated to display more valid , usable zones instead. If a user prefers to keep invalidated zones visible, they can be enabled; however, this will result in showing more recent zones for fewer historical zones.
All zones share one pool, so if you allow fifty max zones, forty-five might be supply while five might be demand on a big sell-off trend. You will always see the most recent zones, regardless of type or status.
It’s up to you how much clutter you want on your screen and how much improved load time you want - but once loaded, zone creation and function are always instantaneous.
Load Time
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Load time refers to the time it takes from when you switch tickers or timeframes before the zones are displayed initially. There is zero lag in the dynamic function and minimal load time, regardless of settings. However, if you are a fine-tuner or multi-screener, the number of Max Zones displayed is the only major variable affecting load time.
I run everything at Max when I develop. When I trade, I run mine at 25 max zones because I change timeframes often and want a very quick display of zones when I do. I have invalidated hidden, and simply enable it if I want to check an old zone. This gives me more zones than I need and reduces the load time to right where I like it.
Thresholds
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It is recommended to leave these as the default.
Base Body Threshold : Determines the maximum ratio of a candle’s body to wick before invalidation. Default (50% or 0.5). A higher number loosens thresholds, resulting in more zones being displayed.
Unrequire 2nd FT if LO is Strong & Strength Multiplier :
The standard logic sequence requires two Follow-Through candles. Under some strong price movement, Leg-Out candles can make an explosive directional move from a base, making a convincing argument for supply and demand perfectly at work, if not for a single Follow-Through candle instead of two.
By enabling this feature, you can tell the script to ignore second Follow-Through candles, if and only if, the Leg-Out candle's range is (Strength) X the base range. exceeds the range of the Base by a factor of X (Strength). ie: At 5x, this would require a Leg-Out range to be 500% the range of the Base.
If enabled and the Leg-Out is not strong enough, the default logic kicks in, and a second follow-through candle will validate the zone as per usual. This loosens thresholds overall and should result in more zones.
Recommended Usage
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Form a thesis using your primary trend trading system (eg: Elliott Wave, Structure Reversal, TheStrat, et al) to identify locations of a pullback for a long or short entry.
Identify a pullback area using your system, then use this indicator to find a high-quality zone on your chosen timeframe.
Once located, draw your own channel over the indicator's zone box. Start on 1m, check for zones, 2m, 3m, and so on. When you see a zone you like, recreate it; thus, when finished, you can see every timeframe’s highest-quality zones that you created, regardless of what timeframe you switch to. Tip: Be selective
To make the process faster, save a channel design in settings for “Demand” and one for “Supply”, then you can quickly get through this process in less than a minute with practice.
Optional: Use additional methods (eg: Fibonacci retracements, Elliott Wave Theory, Anchored VWAPs) to find congruent confirmation.
Version 1.0
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No known bugs remain from the closed beta.
In Development
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Powerful combination zones occur when standard zone sequences are extended with additional levels of demand or supply by adding more conditionals to the state machine logic. Got this mostly working in a dev version and it adds minimal extra resources. Set aside to polish a clean standard 1.0 for release first, but now displaying these extended zones is my top priority for next version.
MTF support is essentially working in a dev copy, but adds resources. Not sure if it is in the spirit of price action being the primary focus of a chart for serious traders, rather than indicators. If there is demand for it, I'll consider it.
Additional Threshold Settings
Thanks!
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Thank you for your interest in my work. This was a personal passion project of mine, and I was delighted it turned out better than I hoped, so I decided to share it. If you have any comments, bugs, or suggestions, please leave them here, or you can find me on Twitter or Discord.
@ ContrarianIRL
Open-source developer for over 25 years
