TradeChartist TrendRider ™TradeChartist TrendRider is an exceptionally beautiful and a functional indicator that does exactly what it says on the tin. The indicator rides the trend based on Momentum, Volatility, detecting critical zones of Support and Resistance along the way, which helps the indicator find the right trend to ride, plotting Trend Markers and Trade Signals based on only one piece of User input - TrendRider Type (Aggressive, Normal or Laid Back).
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What does ™TradeChartist TrendRider do?
™TradeChartist TrendRider dynamically calculates Support and Resistance levels when riding a trend and uses these levels for confirmation on breach or fail (on a candle close), before reversing from the current trend it is riding. The change of trend is signalled using Bᴜʟʟs or Bᴇᴀʀs labels which are plotted upon confirmation of the Trend.
TrendRider plots Bull and Bear Trend Markers on chart, which helps the user get a visual confirmation of the Trend.
TrendRider also plots $ signs to show Take Profit Bars and also paints Trend strength on price bars based on the Color Scheme, if these options are enabled from the indicator settings.
The above features can be clearly seen on the 1 hr chart of GBP-USD below.
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How to create Alerts for ™TradeChartist TrendRider Long and Short Entries?
Alerts can be created for Long or Short entries using Once Per Bar as Bᴜʟʟs or Bᴇᴀʀs labels appear only on confirmation after bar close.
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Does the indicator include Stop Loss and Take Profit plots?
This script doesn't have Stop Loss and Take Profit plots, but it can be connected to ™TradeChartist Plug and Trade as Oscillatory signal (" TrendRider Signal ") to generate Automatic Targets, set StopLoss and Take Profit plots and to create all types of alerts too. The 4hr chart of ICX-BTC below shows TrendRider connected to ™TradeChartist Plug and Trade.
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Does this indicator repaint?
No. This script doesn't repaint as it confirms its signals only after close above/below TrendRider's dynamic level and also uses security function to call higher time-frame values in the right way to avoid repainting. This can be verified using Bar Replay to check if the plots and fills stay in the same bar in real time as the Bar Replay.
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Example charts using TrendRider
Daily chart of BTC-USD
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15m chart of SPX
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1hr chart of ADA-USDT
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15m chart of XAU-USD
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4hr chart of Dow Jones Industrial Average
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Best Practice: Test with different settings first using Paper Trades before trading with real money
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
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在腳本中搜尋"the script"
TradeChartist Chameleon™TradeChartist Chameleon is an exceptionally beautiful trend following indicator (visualised using Chameleon plot) based on Momentum and Volatility using User input of Chameleon Mode and Risk factor (ATR multiple) to generate Trade Opportunities.
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™TradeChartist Chameleon Features
Minimal user input of Chameleon Mode Selection from (Aggressive, Normal and Laid Back) and Chameleon Risk Factor (Min - 1, Max - 5 of ATR Multiple).
---> For Higher Timeframes, lower Risk Factor is recommended (Max - 3) as the trading range can be high based on Volatility.
---> For Lower Timeframes, higher Risk Factor can be used (Normal or Laid Back Mode) based on asset price volatility.
Comprehensive Chameleon Dashboard with useful information like Real-time Gains Tracker , User settings and general trade information. Dashboard can be customised based on user preference from Chameleon Settings.
Automatic Targets based on Trade.
Option to paint Price Bars to help identify Price Trend.
Option to display Profit Taking Bars (enabling this from settings will paint $ signs where Profit taking is recommended).
Option to color background based on trade type.
Alerts can be created for Long and Short Entry Signals using "Once per Bar" as Trade Entries are generated only upon confirmation (previous candle close below/above Chameleon Trigger line).
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How to create Alerts for ™TradeChartist Chameleon Long and Short Entries?
Alerts can be created for Long or Short entries using Once Per Bar as BUY and SELL labels appear with entries only on confirmation after bar close.
Does the indicator include Stop Loss and Take Profit plots?
This script doesn't have Stop Loss and Take Profit plots, but it can be connected to ™TradeChartist Plug and Trade as Oscillatory signal (" Chameleon ") to set StopLoss and Take Profit plots and to create all types of alerts too.
Does this indicator repaint?
No. This script doesn't repaint as it confirms its signals only after close above/below Chameleon Trigger line and also uses security function to call higher time-frame values in the right way to avoid repainting. This can be verified using Bar Replay to check if the plots and fills stay in the same bar in real time as the Bar Replay.
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Best Practice: Test with different settings first using Paper Trades before trading with real money
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
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TradeChartist MTF Supertrend Pro™TradeChartist MTF SuperTrend Pro is the Multi Time-Frame version (using timeframe multiplier) of classic Volatility Stop or SuperTrend (Stop and Reverse indicator using multiple of Average True Range of lookback period trailing behind the price acting as both trend reversal signifier and StopLoss trigger at the same time ).
What does ™TradeChartist MTF SuperTrend Pro include?
Multi Time-Frame option using Time-Frame Multiplier to plot Higher Time Frame SuperTrend plot on Lower Time-Frame chart.
Auto-fibs - 2 types (1. Retracement from last significant high/low to previous significant low/high, 2. Retracement from Current High/Low to previous significant Low/High).
Trend identifying color bars.
Trend identifying Background colour.
Option to detect bars where Profit Taking is recommended using $ sign.
How to create Alerts for ™TradeChartist MTF SuperTrend Pro Long and Short Entries?
Alerts can be created for Long or Short entries using Once Per Bar as BUY and SELL labels appear with entries only on confirmation after bar close.
Does the indicator include Stop Loss and Take Profit plots?
This script doesn't have Stop Loss and Take Profit plots, but it can be connected to TradeChartist Plug and Trade as Non-Oscillatory signal to generate Automatic Targets, user set StopLoss and Take Profit plots and to create all types of alerts too.
Does this indicator repaint?
No. This script doesn't repaint as it confirms its signals only after close above/below SuperTrend plot and also uses security function to call higher time-frame values in the right way to avoid repainting. This can be verified using Bar Replay to check if the plots and fills stay in the same bar in real time as the Bar Replay.
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Tip 1: Using 1.618 as Timeframe Multiplier results in lucrative trades on most timeframes with ATR multiplier 1.618, 2.618 or 3.618. (Best Practice: Test with various values first on asset using Paper Trades before trading with real money)
Tip 2: Using bars, candles with no borders or Hollow Candles results in clear trend spotting with Bar color option enabled in settings.
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Chart below shows Performance of MTF SuperTrend Pro connected to Plug and Trade using Default settings.
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This is not a free to use indicator. Get in touch with me (PM me directly if you would like trial access to test the indicator)
Premium Scripts - Trial access and Information
Trial access offered on all Premium scripts.
PM me directly to request trial access to the scripts or for more information.
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[blackcat] L2 FiboKAMA Adaptive TrendOVERVIEW
The L2 FiboKAMA Adaptive Trend indicator leverages advanced technical analysis techniques by integrating Fibonacci principles with the Kaufman Adaptive Moving Average (KAMA). This combination creates a dynamic and responsive tool designed to adapt seamlessly to changing market conditions. By providing clear buy and sell signals based on adaptive momentum, this indicator helps traders identify potential entry and exit points effectively. Its intuitive design and robust features make it a valuable addition to any trader’s arsenal 📊💹.
According to the principle of Kaufman's Adaptive Moving Average (KAMA), it is a type of moving average line specifically designed for markets with high volatility. Unlike traditional moving averages, KAMA can automatically adjust its period based on market conditions to improve accuracy and responsiveness. This makes it particularly useful for capturing market trends and reducing false signals in varying market environments.
The use of Fibonacci magic numbers (3, 8, 13) enhances the performance and accuracy of KAMA. These numbers have special mathematical properties that align well with the changing trends of KAMA moving averages. Combining them with KAMA can significantly boost its effectiveness, making it a popular choice among traders seeking reliable signals.
This fusion not only smoothens price fluctuations but also ensures quick responses to market changes, offering dependable entry and exit points. Thanks to the flexibility and precision of KAMA combined with Fibonacci magic numbers, traders can better manage risks and aim for higher returns.
FEATURES
Enhanced Kaufman Adaptive Moving Average (KAMA): Incorporates Fibonacci principles for improved adaptability:
Source Price: Allows customization of the price series used for calculation (default: HLCC4).
Fast Length: Determines the period for quicker adjustments to recent price changes.
Slow Length: Sets the period for smoother transitions over longer-term trends.
Dynamic Lines:
KAMA Line: A yellow line representing the primary adaptive moving average, which adapts quickly to new trends.
Trigger Line: A fuchsia line serving as a reference point for detecting crossovers and generating signals.
Visual Cues:
Buy Signals: Green 'B' labels indicating potential buying opportunities.
Sell Signals: Red 'S' labels signaling possible selling points.
Fill Areas: Colored regions between the KAMA and Trigger lines to visually represent trend directions and strength.
Alert Functionality: Generates real-time alerts for both buy and sell signals, ensuring timely notifications for actionable insights 🔔.
Customizable Parameters: Offers flexibility through adjustable inputs, allowing users to tailor the indicator to their specific trading strategies and preferences.
HOW TO USE
Adding the Indicator:
Open your TradingView chart and navigate to the indicators list.
Select L2 FiboKAMA Adaptive Trend and add it to your chart.
Configuring Parameters:
Adjust the Source Price to choose the desired price series (e.g., close, open, high, low).
Set the Fast Length to define how quickly the indicator responds to recent price movements.
Configure the Slow Length to determine the smoothness of long-term trend adaptations.
Interpreting Signals:
Monitor the chart for green 'B' labels indicating buy signals and red 'S' labels for sell signals.
Observe the colored fill areas between the KAMA and Trigger lines to gauge trend strength and direction.
Setting Up Alerts:
Enable alerts within the indicator settings to receive notifications whenever buy or sell signals are triggered.
Customize alert messages and frequencies according to your trading plan.
Combining with Other Tools:
Integrate this indicator with additional technical analysis tools and fundamental research for comprehensive decision-making.
Confirm signals using other indicators like RSI, MACD, or Bollinger Bands for increased reliability.
Optimizing Performance:
Backtest the indicator across various assets and timeframes to understand its behavior under different market conditions.
Fine-tune parameters based on historical performance and current market dynamics.
Integrating Magic Numbers:
Understand the basic principles of KAMA to find suitable entry points for Fibonacci magic numbers.
Utilize the efficiency ratio to measure market volatility and adjust moving average parameters accordingly.
Apply Fibonacci magic numbers (3, 8, 13) to enhance the responsiveness and accuracy of KAMA.
LIMITATIONS
Market Volatility: May produce false signals during periods of extreme volatility or sideways movement.
Parameter Sensitivity: Requires careful tuning of fast and slow lengths to balance responsiveness and stability.
Asset-Specific Behavior: Effectiveness can vary significantly across different financial instruments and time horizons.
Complementary Analysis: Should be used alongside other analytical methods to enhance accuracy and reduce risk.
NOTES
Historical Data: Ensure adequate historical data availability for precise calculations and backtesting.
Demo Testing: Thoroughly test the indicator on demo accounts before deploying it in live trading environments.
Continuous Learning: Stay updated with market trends and continuously refine your strategy incorporating feedback from the indicator's performance.
Risk Management: Always implement proper risk management practices regardless of the signals provided by the indicator.
ADVANCED USAGE TIPS
Multi-Timeframe Analysis: Apply the indicator across multiple timeframes to gain deeper insights into underlying trends.
Divergence Strategy: Look for divergences between price action and the KAMA line to spot potential reversals early.
Volume Integration: Combine volume analysis with the indicator to confirm the strength of identified trends.
Custom Scripting: Modify the script to include additional filters or conditions tailored to your unique trading approach.
IMPROVING KAMA PERFORMANCE
Increase Length: Extend the KAMA length to consider more historical data, reducing the impact of short-term price fluctuations.
Adjust Fast and Slow Lengths: Make KAMA smoother by increasing the fast length and decreasing the slow length.
Use Smoothing Factor: Apply a smoothing factor to control the level of smoothness; typical values range from 0 to 1.
Combine with Other Indicators: Pair KAMA with other smoothing indicators like EMA or SMA for more reliable signals.
Filter Noise: Use filters or other technical analysis tools to eliminate price noise, enhancing KAMA's effectiveness.
ZenAlgo - RangerThe core of the indicator is the daily range, anchored around the 1-minute timeframe VWAP (volume-weighted average price), with ±2 standard deviations defining the upper and lower bounds. This range dynamically forms throughout the day and then gets “locked” at 23:59 each day to establish historical reference values.
The indicator calculates this locked VWAP and standard deviation per day, which serves two primary purposes:
Drawing today's real-time evolving range , updated each minute.
Plotting previous daily ranges , based on historical locked VWAPs and standard deviations, providing visual reference boxes on the chart.
This design enables the trader to identify mean-reversion zones and persistent directional biases based on volume-weighted price consensus.
Multiple Standard Deviation Layers
Beyond the ±2.0 deviation bounds, optional lines are available at half-step increments (e.g., ±0.5, ±1.5, ..., ±4.5) and full-step levels beyond ±2.0 (±3.0, ±4.0, ±5.0). These provide a customizable grid to visualize price extremes, tail behavior, or potential breakout zones relative to volume-adjusted price equilibrium.
Users can enable only the levels they need, offering flexibility depending on their strategy (e.g., scalping versus swing trading).
Historical Range Retention
The script stores up to 70 previous daily VWAP + standard deviation values (adjustable). For each, it draws a full range box and standard deviation lines in the past. This historical context helps in understanding how current price interacts with prior days’ balance zones.
These boxes are always drawn from 00:00 to 23:59 UTC , ensuring consistent alignment across instruments and avoiding session-based discrepancies.
Monday Range Reference (Drawn on Tuesdays)
On Tuesdays, the indicator plots the previous Monday's VWAP-based range across the rest of the week. This serves as a persistent contextual anchor for traders watching weekly unfolding behavior. The range is defined identically (VWAP ±2σ) and drawn from Monday 00:00 through the following Monday.
This method assumes Monday often sets the tone or structure for the week, and tracking this level through time may highlight support/resistance confluence or range expansion scenarios.
Each Monday range is extended over 7 days and includes dashed lines at the 25%, 50%, and 75% marks within the range. These midrange markers help traders assess microstructure behaviors (e.g., reversion to median, failure to hold midpoint, etc.).
Daily Volume Delta via 4H Candles
The indicator also integrates daily buy/sell volume deltas , derived from 4-hour candles of the regular session (non-Heikin Ashi). The logic categorizes volume as:
Buy volume when candle closes above the previous close.
Sell volume when it closes below.
Even split when the candle closes flat.
These volumes accumulate each day to derive net delta (buy - sell). This delta is recorded for each day and can optionally be displayed. A similar process tracks the delta for each Monday range on an ongoing basis.
This information quantifies the market’s aggressive buying vs. selling , correlating with price positions inside or outside the VWAP ranges. A strong delta in one direction may justify a price sustaining above/below VWAP, or diverging from the previous range.
Interpretation and Best Usage Practices
VWAP±2σ Range : Considered a high-probability area for consolidation or reversal. Mean-reverting strategies can benefit from signals within this area.
VWAP±3.0 and beyond : Extreme deviations may signal exhaustion or breakout potential, but are less frequent.
Previous Range Overlap : Overlap of today’s price with past VWAP zones may indicate support/resistance zones.
Monday Range on Tuesday : Persistent levels where the week may repeatedly pivot. Best used on instruments that exhibit weekly cyclical behavior (e.g., indices, forex).
Delta Behavior : Sharp positive or negative delta combined with price outside VWAP bands may suggest initiative participation and potential trend continuation.
Added Value Over Free Alternatives
While many free VWAP tools exist, this script differs in several specific and factual ways:
Anchored 1-minute VWAP lock at a consistent daily timestamp (23:59 UTC), enabling historical analysis.
Historical storage of previous VWAP ranges , with adjustable memory depth and visual continuity.
Flexible standard deviation plotting , down to 0.5 increments, tailored to the user's strategy needs.
Dedicated Monday range analysis , not common in freely available scripts.
Volume delta tracking per day and per Monday range , offering a directional volume view unavailable in standard VWAP implementations.
Persistent and visual interpretation framework using extended boxes and dashed lines for easier contextual navigation.
Each of these additions increases the script’s utility for methodical traders relying on volume-weighted statistics, without requiring additional configuration or external calculations.
Limitations and Disclaimers
VWAP based on 1-minute resolution : The indicator uses minute-level data to calculate daily VWAP and standard deviation. This offers high fidelity on liquid instruments but may produce noisy or unreliable levels on illiquid assets or during periods of low volume. For example, microcap stocks or thinly traded altcoins might not yield stable VWAP centers.
Inferred buy/sell volume : Volume delta is estimated using price movement from one candle to the next (close-to-close logic), rather than actual trade-level aggressor data (which is not accessible via TradingView). This approximation may misclassify volume in choppy or low-volatility environments, especially in assets where price changes do not correlate well with order flow (e.g., crypto during low-volume weekends).
Non-continuous markets and price gaps : For assets that do not trade continuously (e.g., stocks, futures), the VWAP calculation starts fresh every day at 00:00 UTC, regardless of the instrument’s official session start. As a result:
Pre-market/post-market trades may be included in VWAP when analyzing equities, even though they are often excluded in professional VWAP tools.
Opening gaps in equities and futures may distort early VWAP values due to lack of volume context, especially if the previous day's session was already closed when new data begins accumulating.
Weekend gaps in crypto, although less frequent due to 24/7 trading, can still influence delta accumulation if abrupt moves happen during low liquidity periods.
Daily session alignment : The VWAP anchoring and box drawing uses 00:00 UTC to 23:59 UTC windows. For instruments with different official session timings (e.g., US equities, CME futures), this may cause mismatches between expected session VWAPs and the ones shown in this script.
Conclusion
The ZenAlgo – Ranger script offers a systematic visualization of volume-adjusted price behavior, combining statistical VWAP ranges with volume delta overlays. By integrating daily and weekly reference zones, this tool supports structured decision-making in various market environments, particularly for traders prioritizing mean reversion, range expansion, or trend confirmation.
Moving Average Trend ToolsI. How M.A.T.T. Adds Value to the TradingView Community:
The "Moving Average Trend Tools" (M.A.T.T.) is a versatile Pine Script v6 indicator that empowers traders with clear trend analysis, reliable trade signals, and real-time insights. Its intuitive design and robust features make it a valuable addition to the TradingView Community Scripts by catering to traders of all levels. Here’s why it stands out:
Clear Trend Visualization: M.A.T.T. plots a moving average (MA) with dynamic coloring—green for rising, red for falling, and gray for flat—based on a user-defined lookback period. This simplifies trend interpretation, helping traders quickly assess market momentum.
Reliable Trade Signals : The script identifies price crossovers above or below the MA, plotting green circles for bullish crosses and red for bearish, confirmed on closed bars to prevent repainting. These signals guide entry and exit points for trend-following or reversal strategies.
Real-Time Extension Detection : M.A.T.T. calculates percentage price deviations from the MA, displaying real-time labels when thresholds (e.g., 6%) are exceeded. This highlights overextended moves, ideal for spotting reversals or pullbacks, with alerts to keep traders informed.
Extensive Customization : Traders can tailor the MA type (SMA, EMA, WMA, HMA), length, colors, line width, and label sizes. This flexibility supports diverse strategies across markets like stocks, forex, and crypto, from scalping to swing trading.
Automated Alerts : Alert conditions for crossovers and extensions integrate seamlessly with TradingView’s system, enabling traders to stay updated without constant chart monitoring.
M.A.T.T. combines trend analysis, signal generation, and overextension detection into a single, user-friendly tool. Its accessibility, reliability, and educational value for Pine Script learners make it a compelling contribution to the community.
II. What M.A.T.T. Does, How It Works, and Its Originality:
What It Does :
M.A.T.T. enhances trend analysis and trade decision-making through three core features:
Dynamic MA Visualization: Plots a customizable MA (SMA, EMA, WMA, or HMA) with trend-based coloring to reflect rising, falling, or flat market conditions.
Price Crossover Signals : Marks bullish (green circles) and bearish (red circles) crossovers, confirmed on closed bars, with alerts for trade opportunities.
Price Extension Labels : Displays real-time percentage deviations of price from the MA, with alerts when user-defined thresholds are breached, signaling potential reversals.
How It Works :
M.A.T.T. leverages Pine Script v6 for precise calculations and user-friendly outputs:
Inputs: Users select MA type, length, lookback period, colors, and thresholds for extensions, plus label styles and sizes for customization.
MA Calculation : A switch function computes the chosen MA (e.g., ta.ema(close, 21) for EMA). Trend direction is determined using ta.rising or ta.falling over the lookback period, coloring the MA accordingly.
Crossover Logic : Bullish crossovers (close > ma and close < ma ) and bearish crossovers (close < ma and close > ma ) are plotted as circles on confirmed bars (barstate.isconfirmed) to ensure reliability. Alerts trigger only on the first bar of a crossover.
Extension Logic : Percentage deviations are calculated as ((price - ma) / ma) * 100, using the high for above-MA extensions and low for below. Labels appear in real-time when thresholds are exceeded, with alerts on transitions to avoid noise.
Why It’s Original
M.A.T.T. distinguishes itself through a unique blend of features and thoughtful design:
All-in-One Design : It integrates dynamic MA coloring, non-repainting crossover signals, and real-time extension detection, addressing trend identification, trade signals, and overextension warnings in one tool—unlike most MA indicators that focus on a single aspect.
Real-Time Extension Labels : Displaying percentage deviations with customizable thresholds is a rare feature, ideal for volatile markets and not commonly found in standard scripts.
Non-Repainting Signals : Confirmed crossover signals enhance reliability for live trading, setting M.A.T.T. apart from less rigorous indicators.
Optimized Alert Condtions : Alerts trigger only on transitions (e.g., first bar of a crossover or extension), reducing noise and improving usability.
Visual and Functional Flexibility : Support for four MA types, extensive customization, and a clean interface (dynamic colors, tiny circles, clear labels) make it adaptable and user-friendly.
While MA plotting or crossovers exist elsewhere, M.A.T.T.’s seamless integration, real-time extension detection, alert conditions, and focus on reliability and customization create a distinctive, practical tool. Its balance of simplicity and sophistication makes it a unique asset for the TradingView community.
BankNifty-15min Intraday-High Risk-R-AlgoAI-Final Copy// This script is for educational and informational purposes only.
// It does not constitute financial or investment advice.
// Trading involves substantial risk and may not be suitable for all investors.
// Always do your own research or consult with a licensed financial advisor
// before making any trading or investment decisions.
// The author is not responsible for any losses incurred using this script.
⚡ Overview:
This script is a technical indicator designed for intraday trading on the Bank Nifty future chart using the 15-minute timeframe. It uses a combination of normalized buy and sell pressure along with a Hull Moving Average (HMA) smoothing method and volume-based normalization to detect potential buy and sell signals.
💡 Main Concept:
Buy and Sell Pressure Calculation:
The script calculates:
bp (Buy Pressure): close - low
sp (Sell Pressure): high - close
These values are smoothed using a custom Hull Moving Average (HMA) function, designed to reduce lag and react quicker to price changes compared to traditional moving averages.
📊 Normalized Signals:
Buy and Sell pressures are normalized against their HMA smoothed values.
Volume normalization is also applied to adjust for the effect of market activity on the pressure signals.
📌 Signal Logic:
A Buy Signal is generated when:
Only one signal per day is allowed to avoid signal spamming.
A Sell Signal is generated under the opposite conditions:
One sell signal per day.
🧾 Visual Output:
When a signal is triggered, the script:
Draws a horizontal line at the signal price (with labels like BUY @ or SELL @).
Plots triangle markers on the chart to highlight buy (green) or sell (red) signals.
Deletes or extends lines at the end of each day to maintain visual clarity.
📈 Additional Features:
EMA 50 & EMA 200:
Plots two common Exponential Moving Averages (50-period and 200-period) for trend visualization.
⚠️ Important Notes:
This script is meant for educational and research purposes only.
It is designed for high-risk intraday trading.
Signals are based on historical behavior and should not be treated as financial advice.
No stop-loss or take-profit logic is included — traders should manage risk independently.
✅ Summary:
This indicator offers a simple visual and quantitative approach to spot potential intraday turning points for Bank Nifty future on a 15-minute chart, with clear buy and sell markers. It combines volume, price pressure, and moving average smoothing to filter out random price movements.
Dynamic Customizable 50% Line & Daily High/Low + True Day OpenA Unique Indicator for Precise Market-Level Analysis
This indicator is a fully integrated solution that automates complex market-level calculations and visualizations, offering traders a tool that goes beyond the functionality of existing open-source alternatives. By seamlessly combining several trading concepts into a single script, it delivers efficiency, accuracy, and customization that cater to both novice and professional traders.
Key Features: A Breakdown of What Makes It Unique
1. Adaptive Daily Highs and Lows
Automatically detects and plots daily high and low levels based on the selected time frame, dynamically updating in real time.
Features session-based adjustments, allowing traders to focus on levels that matter for specific trading sessions (e.g., London, New York).
Fully customizable styling, visibility, and alerts tailored to each trader’s preferences.
How It Works:
The indicator calculates daily high and low levels directly from price data, integrating session-specific time offsets to account for global trading hours. These levels provide traders with clear visual markers for key liquidity zones.
2. Automated ICT 50% Range Line
A pioneering implementation of ICT’s mid-range concept, this feature dynamically calculates and displays the midpoint of the daily range.
Offers traders a visual guide to identify premium and discount zones, aiding in determining market bias and potential trade setups.
How It Works:
The script calculates the range between the day’s high and low, dividing it by two to generate the midline. This line updates in real-time, ensuring that traders always see the most current premium and discount levels as price action evolves.
3. Dynamic Market Open Levels
Plots session opens (e.g., Asia, London, New York) and the True Day Open to provide actionable reference points for intra-day trading strategies.
Enhances precision in identifying liquidity shifts and aligning trades with institutional price movements.
How It Works:
The indicator uses predefined session times to calculate and display the opening levels for key trading sessions. It dynamically adjusts for time zones, ensuring accuracy regardless of the trader’s location.
4. Custom Watermark for Enhanced Visualization
Includes an optional watermark feature that allows users to display custom text on their charts.
Ideal for personalization, branding, or highlighting session notes without disrupting the clarity of the chart.
Why This Indicator Stands Out
First-to-Market Automation:
While the ICT 50% range line is a widely recognized concept, this is the first script to automate its calculation, combining it with other pivotal trading levels in a single tool.
All-in-One Functionality:
Unlike open-source alternatives that focus on individual features, this script integrates daily highs/lows, mid-range levels, session opens, and customizable watermarks into one cohesive system. The consolidation reduces the need for multiple indicators and ensures a clean, efficient chart setup.
Dynamic Customization:
Every feature can be adjusted to align with a trader’s strategy, time zone, or aesthetic preferences. This level of adaptability is unmatched in existing tools.
Proprietary Logic:
The indicator’s underlying calculations are built from scratch, leveraging advanced programming techniques to ensure accuracy and reliability. These proprietary methods differentiate it from similar open-source scripts.
How to Use This Indicator
Apply the Indicator:
Add it to your TradingView chart from the library.
Configure Settings:
Use the intuitive settings panel to adjust plotted levels, colors, styles, and visibility. Tailor the indicator to your trading strategy.
Incorporate into Analysis:
Combine the plotted levels with your preferred trading approach to identify liquidity zones, establish market bias, and pinpoint potential reversals or entries.
Stay Focused:
With all key levels automated and updated in real time, traders can focus on execution rather than manual plotting.
Originality and Justification for Closed Source
This script is closed-source due to its unique combination of features and proprietary logic that automates complex trading concepts like the ICT 50% range line and session-specific levels. Open-source alternatives lack this level of integration and customization, making this indicator a valuable and original contribution to the TradingView ecosystem.
What Sets It Apart from Open-Source Scripts?
Unlike open-source tools, this indicator doesn’t just replicate individual features—it enhances and integrates them into a seamless, all-in-one solution that offers traders a more efficient and effective way to analyze the market.
Fibonacci Retracement MTF/LOGIn Pine Script, there’s always a shorter way to achieve a result. As far as I can see, there isn’t an indicator among the community scripts that can produce Fibonacci Retracement levels (linear and logarithmic) as multiple time frame results based on a reference 🍺 This script, which I developed a long time ago, might serve as a starting point to fill this gap.
OVERVIEW
This indicator is a short and simple script designed to display Fibonacci Retracement levels on the chart according to user preferences, aiming to build the structure of support and resistance.
ORIGINALITY
This script:
Can calculate 'retracement' results from higher time frames.
Can recall previous time frame results using its reference parameter.
Performs calculations based on both linear and logarithmic scales.
Offers optional multipliers and appearance settings to simplify users’ tasks
CONCEPTS
Fibonacci Retracement is a technical analysis tool used to predict potential reversal points in an asset's price after a significant movement. This indicator identifies possible support and resistance levels by measuring price movements between specific points in a trend, using certain ratios derived from the Fibonacci sequence. It is based on impulsive price actions.
MECHANICS
This indicator first identifies the highest and lowest prices in the time frame specified by the user. Next, it determines the priority order of the bars where these prices occurred. Finally, it defines the trend direction. Once the trend direction is determined, the "Retracement" levels are constructed.
FUNCTIONS
The script contains two functions:
f_ret(): Generates levels based on the multiplier parameter.
f_print(): Handles the visualization by drawing the levels on the chart and positioning the labels in alignment with the levels. It utilizes parameters such as ordinate, confirmation, multiplier, and color for customization
NOTES
The starting bar for the time frame entered by the user must exist on the chart. Otherwise, the trend direction cannot be determined correctly, and the levels may be drawn inaccurately. This is also mentioned in the tooltip of the TimeFrame parameter.
I hope it helps everyone. Do not forget to manage your risk. And trade as safely as possible. Best of luck!
SUSH ALGOStep-by-Step Guide for Trading Using the Script
1. Asset Selection
When applying this script, the first thing to do is select your desired asset to trade.
You can select from the following assets within the script:
Scalping
Gold
USD/JPY
EUR/USD
EUR/JPY
BTC/USD
NIFTY 50
The parameters for the strategy (e.g., q, r, s, and ADX Threshold) will adjust automatically based on your selected asset. If you want to use custom parameters, turn on the Use Manual Settings option.
2. Adjust Manual Settings (Optional)
Use Manual Settings: Toggle this if you want to input your custom values for the strategy parameters.
Manual q: Affects swing period calculation.
Manual r: Affects the smoothing in the calculation of the oscillator.
Manual s: Affects the smoothing period of the main line of the oscillator.
Manual Signal Length: Length of the signal line for generating buy/sell signals.
Manual ADX Threshold: Adjusts the ADX value to filter trades based on trend strength.
3. Reading the SMI (Stochastic Momentum Index) Oscillator
SMI: This indicator oscillates between overbought and oversold levels, signaling potential entry and exit points.
Overbought Level: +30
Oversold Level: -30
The signal line is calculated based on the smoothed SMI value.
A crossover above the signal line in the oversold region (< -30) signals a buy.
A crossunder below the signal line in the overbought region (> +30) signals a sell.
4. Trade Signal Alerts
Buy Signal Alert: Triggered when the SMI crosses over the signal line in the oversold zone, and ADX exceeds the threshold.
Sell Signal Alert: Triggered when the SMI crosses under the signal line in the overbought zone, and ADX exceeds the threshold.
5. Entry, Stop Loss, and Target Levels
Entry Line: The script will plot an entry line at the close price when a buy or sell signal is triggered.
Stop Loss: A stop loss will be set based on the lowest low (for buy signals) or highest high (for sell signals) of the previous candles.
Take Profit Targets:
Target 1 (TP1): 3 times the size of the entry candle.
Target 2 (TP2): 6 times the size of the entry candle.
Target 3 (TP3): 10 times the size of the entry candle.
Make sure the Show Entry, Show Stop Loss, and Show Targets toggles are enabled to visualize these lines on the chart.
6. Monitoring the ADX (Average Directional Index)
The ADX value filters weak signals, ensuring that you trade only in trending markets.
If ADX > adxThreshold, the trend is strong, and the buy or sell signal becomes valid.
If ADX < adxThreshold, the trade signals are ignored to avoid trading in sideways markets.
7. Box, Line, and Label Toggles for Swing Highs/Lows
The script allows you to visualize swing highs and lows for better market context. You can toggle the following options:
Show Boxes: Displays rectangular boxes around the swing highs and lows.
Show Swing Lines: Plots lines at swing highs and lows for visual confirmation of key price levels.
Show Labels: Adds text labels to the swing levels, indicating whether they represent a swing high or low.
8. Customize Appearance (Optional)
You can change the appearance of the boxes, lines, and labels, such as their color, width, and style (solid or dotted), from the Appearance settings.
9. Monitor Volume and Open Interest (Optional)
You can also track volume and open interest (OI) data from various exchanges like Binance and BitMEX to get additional confirmations.
Steps for Trading
1.Select your asset from the drop-down menu based on your trading preferences.
2.Adjust manual settings (optional) if you want to use your own parameters for the strategy.
3.Wait for a buy or sell signal to trigger based on the crossover of the SMI oscillator in the overbought/oversold regions.
4.Once a signal is triggered, check for the plotted entry price, stop loss, and take profit levels on your chart.
5.Monitor the ADX value to ensure that the market is trending strongly.
6.If the trade meets your criteria, enter the trade at the indicated price.
Set your stop loss and take profit orders as indicated by the script.
Key Notes
# This strategy is designed for both trending and mean-reversion markets depending on the asset and the ADX value.
# Make sure to practice proper risk management by adjusting the stop loss and position size based on your risk tolerance.
Helacator Ai ThetaHelacator Ai Theta is a state-of-the-art advanced script. It helps the trader find the possibility of a trend reversal in the market. By finding that point at which the three black crows pattern combines with the three white soldiers pattern, it is the most cherished pattern in technical analysis for its signal of strong bullish or bearish momentum. Therefore, it is a very strong predictive tool in the ability of shifting markets.
Key Highlights: Three White Soldiers and Three Black Crows Patterns
The script identifies these candlestick formations that consist of three consecutive candles, either bullish (Three White Soldiers) or bearish (Three Black Crows). These patterns help the trader identify possible trend reversal points as they provide an early signal of a change in the market direction. It is with great care that the script is written to evaluate the position and relationship between the candlesticks for maintaining the accuracy of pattern recognition. Moving Averages for Trend Filtering:
Two important ones used are moving averages for filtering any signals not in accordance with the general trend. The length of these MAs is variable, allowing the traders to be in a position to adapt the script for use under different market conditions. The moving averages ensure that signals are only taken in the direction that supports the general market flow, so it leads to more reliability within the signals. The MAs are not plotted on the chart for the sake of clarity, but they still perform a crucial function in signal filtering and can be displayed optionally for a more detailed investigation. Cooldown filter to reduce over-trading
This is part of what is implemented in the script to prevent generation of consecutive signals too quickly. All this helps to reduce market noise and not overtrade—only when market conditions are at their best. The cooldown period can be set to be adjusted according to the trader's preference, making the script more versatile in its use. Practical Considerations: Educational Purpose: This script is for educational purposes only and should be part of a comprehensive trading approach. Proper risk management techniques should be observed while at the same time taking into consideration prevailing market conditions before making any trading decision.
No Guaranteed Results: The script is aimed at bringing signal accuracy into improvement to align with the broader market trend and reducing noise, but past performance cannot guarantee future success. Traders should use this script within their broad trading approach. Clean and Simple Chart Display: The primary goal of this script is to have a clear and simple display on the chart. The signals are prominently marked with "BUY" and "SELL," and the color of the bars has changed according to the last signal, thus traders can easily read the output. Community and Open Source Open Source Contribution: This script is open for contribution by the TradingView community. Any suggestions regarding improvements are highly welcomed. Candlestick patterns, moving averages, and the combination of the cooldown filter are presented in such a way as to give traders something special, and any modifications or extra touch by the community is appreciated. Attribution and Transparency: The script is based on standard technical analysis principles and for all parts inspired by or derivated from other available open-source scripts, credit is given where it is due. In this way, transparency ensures that the script adheres to TradingView's standards and promotes a collaborative community environment.
Correlation Analysis Tool📈 What Does It Do?
Correlation Calculation: Measures the correlation between a selected asset (Asset 1) and up to four additional assets (Asset 2, Asset 3, Asset 4, Asset 5).
User Inputs: Allows you to define the primary asset and up to four comparison assets, as well as the period for correlation calculations.
Correlation Matrix: Displays a matrix of correlation coefficients as a text label on the chart.
🔍 How It Works
Inputs: Enter the symbols for Asset 1 (main asset) and up to four other assets for comparison.
Correlation Period: Specify the period over which the correlations are calculated.
Calculations: Computes log returns for each asset and calculates the correlation coefficients.
Display: Shows a textual correlation matrix at the top of the chart with percentage values.
⚙️ Features
Customizable Assets: Input symbols for one primary asset and up to four other assets.
Flexible Period: Choose the period for correlation calculation.
Correlation Coefficients: Outputs correlation values for all asset pairs.
Textual Correlation Matrix: Provides a correlation matrix with percentage values for quick reference.
🧩 How to Use
Add the Script: Apply the script to any asset’s chart.
Set Asset Symbols: Enter the symbols for Asset 1 and up to four other assets.
Adjust Correlation Period: Define the period for which correlations are calculated.
Review Results: Check the correlation matrix displayed on the chart for insights.
🚨 Limitations
Historical Data Dependency: Correlations are based on historical data and might not reflect future market conditions.
No Visual Plots Yet: This script does not include visual plots; it only provides a textual correlation matrix.
💡 Best Ways To Use
Sector Comparison: Compare assets within the same sector or industry for trend analysis.
Diversification Analysis: Use the correlations to understand how different assets might diversify or overlap in your portfolio.
Strategic Decision Making: Utilize correlation data for making informed investment decisions and portfolio adjustments.
📜 Disclaimer
This script is for educational and informational purposes only. Please conduct your own research and consult with a financial advisor before making investment decisions. The author is not responsible for any losses or damages resulting from the use of this script.
Dynamic Cycle Oscillator [Quantigenics]This script is designed to navigate through the ebbs and flows of financial markets. At its core, this script is a sophisticated yet user-friendly tool that helps you identify potential market turning points and trend continuations.
How It Works:
The script operates by plotting two distinct lines and a central histogram that collectively form a band structure: a center line and two outer boundaries, indicating overbought and oversold conditions. The lines are calculated based on a blend of exponential moving averages, which are then refined by a root mean square (RMS) over a specified number of bars to establish the cyclic envelope.
The input parameters:
Fast and Slow Periods:
These determine the sensitivity of the script. Shorter periods react quicker to price changes, while longer periods offer a smoother view.
RMS Length:
This parameter controls the range of the cyclic envelope, influencing the trigger levels for trading signals.
Using the Script:
On your chart, you’ll notice how the Dynamic Cycle Oscillator’s lines and histogram weave through the price action. Here’s how to interpret the movements.
Breakouts and Continuations:
Buy Signal: Consider a long position when the histogram crosses above the upper boundary. This suggests a possible strong bullish run.
Sell Signal: Consider a short position when the histogram crosses below the lower boundary. This suggests a possible strong bearish run.
Reversals:
Buy Signal: Consider a long position when the histogram crosses above the lower boundary. This suggests an oversold market turning bullish.
Sell Signal: Consider a short position when the histogram crosses below the upper boundary. This implies an overbought market turning bearish.
The script’s real-time analysis can serve as a robust addition to your trading strategy, offering clarity in choppy markets and an edge in trend-following systems.
Thanks! Hope you enjoy!
Triple MA HTF Indicator - Dynamic SmoothingThe indicator version of the "Triple MA HTF Strategy - Dynamic Smoothing" strategy script. In summary the indicator consist of 3 higher time frame moving averages. In which the highest timeframe is used for confirmation on the trend (filter). Moving average 1 and 2 are used to enter and exit the trade (crossover / crossunder). The main principle is to detect momentum when the faster MA 1 crosses the slower MA 2 and only trade with the trend (MA3). The dynamic smoothing in the code makes the indicator suitable to trade on lower tramecharts. The indicator script comes with the following features:
options for different types of MA.
options to choose from different timeframes & select # bars of that timeframe to calculate the MA value.
visualizations of the MA using Dynamic Smoothing calculations on lower timecharts. Note that the chart opened should be lower than the selected timeframes in the configurations.
Alerts for entry long, shorts and exits.
For more details on the script and possibility for backtesting the Triple MA HTF indicator I refer to my earlier published strategy script:
Buy Sell Volume SeparateDescription:
The script is designed to provide traders with a unique and comprehensive analysis of trading volume dynamics. Unlike existing scripts, the script offers a distinct advantage by presenting both buy and sell volumes on separate scales, simplifying trading decisions.
Key Features:
1. Dual Volume Scales: The script provides two separate volume scales, one for buy volumes and another for sell volumes. This separation allows to easily distinguish between buying and selling pressure, aiding in more precise trade entries and exits.
2. Clear and Intuitive Chart: The script ensures that the chart it generates is clean and easy to understand. The buy and sell volumes are color-coded for clarity, and you can quickly identify significant volume spikes and trends.
How to Use:
1. Adding the Script: To use the script, simply add it to your TradingView chart.
2. Interpreting Buy and Sell Volumes: On the chart, you will see two separate volume scales—one for buy volumes and one for sell volumes. Green bars represent buying pressure, while red bars indicate selling pressure. Pay attention to the relative strengths and patterns of these bars to gauge market sentiment.
3. Informed Trading Decisions: Armed with insights into both buy and sell volumes, you can make more informed trading decisions. Look for divergences, patterns, or significant volume spikes to identify potential entry and exit points.
Machine Learning : Cosine Similarity & Euclidean DistanceIntroduction:
This script implements a comprehensive trading strategy that adheres to the established rules and guidelines of housing trading. It leverages advanced machine learning techniques and incorporates customised moving averages, including the Conceptive Price Moving Average (CPMA), to provide accurate signals for informed trading decisions in the housing market. Additionally, signal processing techniques such as Lorentzian, Euclidean distance, Cosine similarity, Know sure thing, Rational Quadratic, and sigmoid transformation are utilised to enhance the signal quality and improve trading accuracy.
Features:
Market Analysis: The script utilizes advanced machine learning methods such as Lorentzian, Euclidean distance, and Cosine similarity to analyse market conditions. These techniques measure the similarity and distance between data points, enabling more precise signal identification and enhancing trading decisions.
Cosine similarity:
Cosine similarity is a measure used to determine the similarity between two vectors, typically in a high-dimensional space. It calculates the cosine of the angle between the vectors, indicating the degree of similarity or dissimilarity.
In the context of trading or signal processing, cosine similarity can be employed to compare the similarity between different data points or signals. The vectors in this case represent the numerical representations of the data points or signals.
Cosine similarity ranges from -1 to 1, with 1 indicating perfect similarity, 0 indicating no similarity, and -1 indicating perfect dissimilarity. A higher cosine similarity value suggests a closer match between the vectors, implying that the signals or data points share similar characteristics.
Lorentzian Classification:
Lorentzian classification is a machine learning algorithm used for classification tasks. It is based on the Lorentzian distance metric, which measures the similarity or dissimilarity between two data points. The Lorentzian distance takes into account the shape of the data distribution and can handle outliers better than other distance metrics.
Euclidean Distance:
Euclidean distance is a distance metric widely used in mathematics and machine learning. It calculates the straight-line distance between two points in Euclidean space. In two-dimensional space, the Euclidean distance between two points (x1, y1) and (x2, y2) is calculated using the formula sqrt((x2 - x1)^2 + (y2 - y1)^2).
Dynamic Time Windows: The script incorporates a dynamic time window function that allows users to define specific time ranges for trading. It checks if the current time falls within the specified window to execute the relevant trading signals.
Custom Moving Averages: The script includes the CPMA, a powerful moving average calculation. Unlike traditional moving averages, the CPMA provides improved support and resistance levels by considering multiple price types and employing a combination of Exponential Moving Averages (EMAs) and Simple Moving Averages (SMAs). Its adaptive nature ensures responsiveness to changes in price trends.
Signal Processing Techniques: The script applies signal processing techniques such as Know sure thing, Rational Quadratic, and sigmoid transformation to enhance the quality of the generated signals. These techniques improve the accuracy and reliability of the trading signals, aiding in making well-informed trading decisions.
Trade Statistics and Metrics: The script provides comprehensive trade statistics and metrics, including total wins, losses, win rate, win-loss ratio, and early signal flips. These metrics offer valuable insights into the performance and effectiveness of the trading strategy.
Usage:
Configuring Time Windows: Users can customize the time windows by specifying the start and finish time ranges according to their trading preferences and local market conditions.
Signal Interpretation: The script generates long and short signals based on the analysis, custom moving averages, and signal processing techniques. Users should pay attention to these signals and take appropriate action, such as entering or exiting trades, depending on their trading strategies.
Trade Statistics: The script continuously tracks and updates trade statistics, providing users with a clear overview of their trading performance. These statistics help users assess the effectiveness of the strategy and make informed decisions.
Conclusion:
With its adherence to housing trading rules, advanced machine learning methods, customized moving averages like the CPMA, and signal processing techniques such as Lorentzian, Euclidean distance, Cosine similarity, Know sure thing, Rational Quadratic, and sigmoid transformation, this script offers users a powerful tool for housing market analysis and trading. By leveraging the provided signals, time windows, and trade statistics, users can enhance their trading strategies and improve their overall trading performance.
Disclaimer:
Please note that while this script incorporates established tradingview housing rules, advanced machine learning techniques, customized moving averages, and signal processing techniques, it should be used for informational purposes only. Users are advised to conduct their own analysis and exercise caution when making trading decisions. The script's performance may vary based on market conditions, user settings, and the accuracy of the machine learning methods and signal processing techniques. The trading platform and developers are not responsible for any financial losses incurred while using this script.
By publishing this script on the platform, traders can benefit from its professional presentation, clear instructions, and the utilisation of advanced machine learning techniques, customised moving averages, and signal processing techniques for enhanced trading signals and accuracy.
I extend my gratitude to TradingView, LUX ALGO, and JDEHORTY for their invaluable contributions to the trading community. Their innovative scripts, meticulous coding patterns, and insightful ideas have profoundly enriched traders' strategies, including my own.
Volume FootprintThe Volume Footprint chart is analyzing volume data from inside the candle and split them into Up and Down Volume in the same way as Volume Profile analyzes the volume data from a fragment of the chart.
The visualization is little different:
Down Volume (sells) are shown on the left side of a candle.
Up Volume (Buys) are shown on the right side of a candle.
User can pick data precision used by Volume Footprint. We recomend to use the highest possible precision.
Unfortunatelly Trading View has many limitations.
If after adding script nothing is visible with error: "'The study references too many candles in history'" you need to use lower precision - It can be changed in script settings.
This script is a part of a toolkit called "Volume Footprint", containing few tools:
Volume Footprint - Scripts drawing Volume Footprint chart.
Volume Footprint Statistics - Script showing table with basic statistics about Up and Down volume inside the candles.
Volume Delta In Candle - Chart showing history of delta (difference between Up and Down volume) changes inside the current candle.
Volume Cumulative Delta - Chart showing history of cumulative delta (sum of difference between Up and Down volume in trading period equal to chart interval).
This script can be used by any user. You do not need to have PRO or PREMIUM account to use it.
Script with limited access, contact author to get authorization
User Interface:
Script is grouping Up and Down Volume into slots based on price. Slots height is controled by "Slot height" param in settings.
On left side of a candle Down Volume is shown and on right side Up Volume is shown.
Before Down Volume may appear imbalance symbols:
⠀↓ - 3 times
⠀↡ - 5 times
⠀⇊ - 10 times
After Up Volume may appear imbalance symbols:
⠀↑ - 3 time
⠀↟ - 5 times
⠀⇈ - 10 times
Above the candle we can show some basic statistics of that candle:
"V:" - Row with volume statistics:
⠀∑ - Total volume,
⠀Δ - Difference between Up and Down Volume.
⠀min Δ - Smallest difference between Up and Down Volume in that candle
⠀max Δ - Biggest difference between Up and Down Volume in that candle
Script settings:
Slot height = 10^ - Price slot height on the chart:
⠀ 0 - 1$
⠀ 1 - 10$
⠀ 2 - 100$
⠀ 3 - 1000$
⠀-1 - 0.1$
⠀-2 - 0.01$
⠀-3 - 0.001$
Data precision - One of 6 levels of data precision: ▉▇▆▅▃▁, where ▉ means the highest precision and ▁ the lowest available precision. On 15 minute chart highest precision should be available, but on 1D it will probably hit TradingView limitations and script will not be even launched by the platform with error: "'The study references too many candles in history'". The general recommendation is to use the highest available precision for a given instrument and interval.
Precise warnings - Option to show precise warnings about missing volume in candle footprint (warning connected with one of TradingView limitations).
Draw candles - Option of drawing candles fiting to volume labels and 2 fields for picking colors of up and down candles. The general recommendation is to hide chart candles and turn on this option.
Show stats - Showing stats over the candle: ∑, Δ, min Δ, max Δ. You can use 'Volume Footprint Statistics' script instead
Font size - Used to draw all the data over the chart: T(iny), S(mall), N(ormal), L(arge)
Centered - If checked volume labels are stick to candle (centered).
Color values - Option to draw labels with use of Up or Down color, depending which value (Volume Up or Volume Down) is bigger in the price slot.
Filter - Filtering option than allow hinding labels with small values:
⠀0 - filter turned off.
⠀1-5 - filtering with transparency
⠀6-10 - Filtering with hiding values.
Show zeros - It can show zeros or leave empty places
Highlight biggest slot - Option to highlight price slot with biggest volume in the candle.
Imbalances - Showing imbalance symbols before Down or after Up Volume
Only over average - Showing imbalances symbols only for volume not smaller than the average value.
Value area - Option to identify group of slots with biggest volume in each candle. A group is a smallest set of neighboring slots that have at least n(param) % of candle volume .
⠀ Value Area Minimal Volume (%) - Value area size as % of candle volume .
⠀ Color - Color of the Value area.
⠀ Show borders - Showing border lines of value areas over the candle.
⠀ Track - Option to track value areas. Potencial Support-Resistance zones.
⠀ Only active - Hide areas that were crossed by the price.
Show Values - Show volume value over tracked value areas.
Troubleshooting:
In case of any problems, send error details to the author of the script.
Known issues:
"The study references too many candles in history" - Change "Data precision" settings to some lower value.
Trend Line Adam Moradi v1 (Tutorial Content)
The Pine Script strategy that plots pivot points and trend lines on a chart. The strategy allows the user to specify the period for calculating pivot points and the number of pivot points to be used for generating trend lines. The user can also specify different colors for the up and down trend lines.
The script starts by defining the input parameters for the strategy and then calculates the pivot high and pivot low values using the pivothigh() and pivotlow() functions. It then stores the pivot points in two arrays called trend_top_values and trend_bottom_values. The script also has two arrays called trend_top_position and trend_bottom_position which store the positions of the pivot points.
The script then defines a function called add_to_array() which takes in three arguments: apointer1, apointer2, and val. This function adds val to the beginning of the array pointed to by apointer1, and adds bar_index to the beginning of the array pointed to by apointer2. It then removes the last element from both arrays.
The script then checks if a pivot high or pivot low value has been calculated, and if so, it adds the value and its position to the appropriate arrays using the add_to_array() function.
Next, the script defines two arrays called bottom_lines and top_lines which will be used to store trend lines. It also defines a variable called starttime which is set to the current time.
The script then enters a loop to calculate and plot the trend lines. It first deletes any existing trend lines from the chart. It then enters two nested loops which iterate over the pivot points stored in the trend_bottom_values and trend_top_values arrays. For each pair of pivot points, the script calculates the slope of the line connecting them and checks if the line is a valid trend line by iterating over the price bars between the two pivot points and checking if the line is above or below the close price of each bar. If the line is found to be a valid trend line, it is plotted on the chart using the line.new() function.
Finally, the script colors the trend lines using the colors specified by the user.
Tutorial Content
'PivotPointNumber' is an input parameter for the script that specifies the number of pivot points to consider when calculating the trend lines. The value of 'PivotPointNumber' is set by the user when they configure the script. It is used to determine the size of the arrays that store the values and positions of the pivot points, as well as the number of pivot points to loop through when calculating the trend lines.
'up_trend_color' is an input parameter for the script that specifies the color to use for drawing the trend lines that are determined to be upward trends. The value of 'up_trend_color' is set by the user when they configure the script and is passed to the color parameter of the line.new() function when drawing the upward trend lines. It determines the visual appearance of the upward trend lines on the chart.
'down_trend_color' is an input parameter for the script that specifies the color to use for drawing the trend lines that are determined to be downward trends. The value of 'down_trend_color' is set by the user when they configure the script and is passed to the color parameter of the line.new() function when drawing the downward trend lines. It determines the visual appearance of the downward trend lines on the chart.
'pivothigh' is a variable in the script that stores the value of the pivot high point. It is calculated using the pivothigh() function, which returns the highest high over a specified number of bars. The value of 'pivothigh' is used in the calculation of the trend lines.
'pivotlow' is a variable in the script that stores the value of the pivot low point. It is calculated using the pivotlow() function, which returns the lowest low over a specified number of bars. The value of 'pivotlow' is used in the calculation of the trend lines.
'trend_top_values' is an array in the script that stores the values of the pivot points that are determined to be at the top of the trend. These are the pivot points that are used to calculate the upward trend lines.
'trend_top_position' is an array in the script that stores the positions (i.e., bar indices) of the pivot points that are stored in the 'trend_top_values' array. These positions correspond to the locations of the pivot points on the chart.
'trend_bottom_values' is an array in the script that stores the values of the pivot points that are determined to be at the bottom of the trend. These are the pivot points that are used to calculate the downward trend lines.
'trend_bottom_position' is an array in the script that stores the positions (i.e., bar indices) of the pivot points that are stored in the 'trend_bottom_values' array. These positions correspond to the locations of the pivot points on the chart.
apointer1 and apointer2 are variables used in the add_to_array() function, which is defined in the script. They are both pointers to arrays, meaning that they hold the memory addresses of the arrays rather than the arrays themselves. They are used to manipulate the arrays by adding new elements to the beginning of the arrays and removing elements from the end of the arrays.
apointer1 is a pointer to an array of floating-point values, while apointer2 is a pointer to an array of integers. The specific arrays that they point to depend on the arguments passed to the add_to_array() function when it is called. For example, if add_to_array(trend_top_values, trend_top_posisiton, pivothigh) is called, then apointer1 would point to the tval array and apointer2 would point to the tpos array.
'bottom_lines' (short for "Bottom Lines") is an array in the script that stores the line objects for the downward trend lines that are drawn on the chart. Each element of the array corresponds to a different trend line.
'top_lines' (short for "Top Lines") is an array in the script that stores the line objects for the upward trend lines that are drawn on the chart. Each element of the array corresponds to a different trend line.
Both 'bottom_lines' and 'top_lines' are arrays of type "line", which is a data type in PineScript that represents a line drawn on a chart. The line objects are created using the line.new() function and are used to draw the trend lines on the chart. The variables are used to store the line objects so that they can be manipulated and deleted later in the script.
Loops
maxline is a variable in the script that specifies the maximum number of trend lines that can be drawn on the chart. It is used to determine the size of the bottom_lines and top_lines arrays, which store the line objects for the trend lines.
The value of maxline is set to 3 at the beginning of the script, meaning that at most 3 trend lines can be drawn on the chart at a time. This value can be changed by the user if desired by modifying the assignment statement "maxline = 3".
'count_line_low' (short for "Count Line Low") is a variable in the script that keeps track of the number of downward trend lines that have been drawn on the chart. It is used to ensure that the maximum number of trend lines (as specified by the maxline variable) is not exceeded.
'count_line_high' (short for "Count Line High") is a variable in the script that keeps track of the number of upward trend lines that have been drawn on the chart. It is used to ensure that the maximum number of trend lines (as specified by the maxline variable) is not exceeded.
Both 'count_line_low' and 'count_line_high' are initialized to 0 at the beginning of the script and are incremented each time a new trend line is drawn. If either variable exceeds the value of maxline, then no more trend lines are drawn.
'pivot1', 'up_val1', 'up_val2', up1, and up2 are variables used in the loop that calculates the downward trend lines in the script. They are used to store intermediate values during the calculation process.
'pivot1' is a loop variable that is used to iterate through the pivot points (stored in the trend_bottom_values and trend_bottom_position arrays) that are being considered for use in the trend line calculation.
'up_val1' and 'up_val2' are variables that store the values of the pivot points that are used to calculate the downward trend line.
up1 and up2 are variables that store the positions (i.e., bar indices) of the pivot points that are stored in 'up_val1' and 'up_val2', respectively. These positions correspond to the locations of the pivot points on the chart.
'value1' and 'value2' are variables that are used to store the values of the pivot points that are being compared in the loop that calculates the trend lines in the script. They are used to determine whether a trend line can be drawn between the two pivot points.
For example, if 'value1' is the value of a pivot point at the top of the trend and 'value2' is the value of a pivot point at the bottom of the trend, then a trend line can be drawn between the two points if 'value1' is greater than 'value2'. The values of 'value1' and 'value2' are used in the calculation of the slope and intercept of the trend line.
'position1' and 'position2' are variables that are used to store the positions (i.e., bar indices) of the pivot points that are being compared in the loop that calculates the trend lines in the script. They are used to determine the distance between the pivot points, which is necessary for calculating the slope of the trend line.
For example, if 'position1' is the position of a pivot point at the top of the trend and 'position2' is the position of a pivot point at the bottom of the trend, then the distance between the two points is given by 'position1' - 'position2'. This distance is used in the calculation of the slope of the trend line.
'different', 'high_line', 'low_location', 'low_value', and 'valid' are variables that are used in the loop that calculates the downward trend lines in the script. They are used to store intermediate values during the calculation process.
'different' is a variable that stores the slope of the downward trend line being calculated. It is calculated as the difference in value between the two pivot points (stored in up_val1 and up_val2) divided by the distance between the pivot points (calculated using their positions, stored in up1 and up2).
'high_line' is a variable that stores the current value of the trend line being calculated at a given point in the loop. It is initialized to the value of the second pivot point (stored in up_val2) and is updated on each iteration of the loop using the value of different.
'low_location' is a variable that stores the position (i.e., bar_index) on the chart of the point where the trend line being calculated first touches the low price. It is initialized to the position of the second pivot point (stored in up2) and is updated on each iteration of the loop if the trend line touches a lower low.
'low_value' is a variable that stores the value of the trend line at the point where it first touches the low price. It is initialized to the value of the second pivot point (stored in up_val2) and is updated on each iteration of the loop if the trend line touches a lower low.
'valid' is a Boolean variable that is used to indicate whether the trend line being calculated is valid. It is initialized to true and is set to false if the trend line does not pass through all the lows between the pivot points. If valid is still true after the loop has completed, then the trend line is considered valid and is drawn on the chart.
d_value1, d_value2, d_position1, and d_position2 are variables that are used in the loop that calculates the upward trend lines in the script. They are used to store intermediate values during the calculation process.
d_value1 and d_value2 are variables that store the values of the pivot points that are used to calculate the upward trend line.
d_position1 and d_position2 are variables that store the positions (i.e., bar indices) of the pivot points that are stored in d_value1 and d_value2, respectively. These positions correspond to the locations of the pivot points on the chart.
The variables d_value1, d_value2, d_position1, and d_position2 have the same function as the variables uv1, uv2, up1, and up2, respectively, but for the calculation of the upward trend lines rather than the downward trend lines. They are used in a similar way to store intermediate values during the calculation process.
thank you.
Stoch/RSI with EMA50 Cross & HHLLA hybrid but simple indicator that plots 4 strategies in one pane .
1) RSI Indicator
2) Stoch RSI
3) EMA50 Cross (To determine direction in current timeframe)
4) Higher Highs & Lower Lows to analyze the trend and break of trend
The relative strength index (RSI) is a momentum indicator used in technical analysis. It is displayed as an oscillator (a line graph) on a scale of zero to 100. When the RSI indicator crosses 30 on the RSI chart, it is a bullish sign and when it crosses 70, it is a bearish sign.
The Stochastic RSI (StochRSI) is also a momentum indicator used in technical analysis. It is displayed as an oscillator (a line graph) on a scale of zero to 100. When the StochRSI indicator crosses 20 on the RSI chart, it is a bullish sign and when it crosses 80, it is a bearish sign.
The EMA50Cross denotes two cases in the script:
a) A crossover of CMP on the EMA50 is highlighted by a green bar signals a possible bullish trend
b) A crossunder of CMP on the EMA50 is highlighted by a red bar signals a possible bearish trend
The HHLL is denoted by mneumonics HH, HL,LH, LL. A combination of HHs and HLs denotes a uptrend while the combination of LLs and LHs denoted a downtrend
The current script should be used in confluence of other trading strategies and not in isolation.
Scenario 1:
If a EMA50Cross over bar (GREEN) is highlighted with the StochRSI below 20 and the given script is plotting HHs and HLs, we are most likely in a bullish trend for the given timeframe and a long can be initiated in confluence with other trading strategies used by the user. The RSI signal may now be utilized to determine a good range of entry/exit.
Scenario 2:
If a EMA50Cross under bar (RED) is highlighted with the StochRSI above 80 and the given script is plotting LLs and LHs, we are most likely in a bearish trend for the given timeframe and a short can be initiated in confluence with other trading strategies used by the user. The RSI signal may now be utilized to determine a good range of entry/exit.
Disclaimer:
The current script should be used in confluence with other trading strategies and not in isolation. The scripts works best on 4H and 1D Timeframes and should be used with caution on lower timeframes.
This indicator is not intended to give exact entry or exit points for a trade but to provide a general idea of the trend & determine a good range for entering or exiting the trade. Please DYOR
Credit & References:
This script uses the default technical analysis reference library provided by PineScript (denoted as ta)
PriceCatch Crypto Screener IOHi,
TradingView community and Crypto traders. Warm Greetings.
PriceCatch Crypto Screener.
I am sharing a script that screens the following Crypto.
ADAUSD, ALGOUSD, AMPUSD, ATOMUSD, AUCTIONUSD, AVAXUSD, BTCUSD, BTRSTUSD, CHZUSD, DAIUSD, DOGEUSD, DOTUSD,
EOSUSD, ETHUSD, FETUSD, FXUSD, JASMYUSD, LINKUSD, LRCUSD, MANAUSD, MATICUSD, NUUSD, OMGUSD, OXTUSD,
SHIBUSD, SKLUSD, SNXUSD, SOLUSD, TRIBEUSD, USTUSD, XLMUSD, XTZUSD, YFIUSD, ZRXUSD
Once this script is added to your chart and the resolution is set, it will automatically keep watching for any breakout on the above Crypto and display the results on chart for your attention. You may use the settings option of the script to screen on different time-frames. For example, you may manually select 30Min, 1H, etc., to scan on the respective time-frames. This way, you can quickly spot any opportunities emerging on different time-frames. The Screener runs independently of any symbol displayed on your chart.
NOTE - PRIOR TO USING THIS SCRIPT:
Please remember that the script is shared with absolutely no assurances about usability and any warranties whatsoever and as a responsible trader, please satisfy yourselves thoroughly and use it only if you are convinced it works for you. Remember, you are 100% responsible for your actions. If you understand and accept that, you may use the script.
QUERIES/FEEDBACK
Please PM me or leave comments.
Regards to all and wish everyone all the best with trading.
Exponential MA Channel, Daily Timeframe (Crypto)Moving averages are some of the most common tools for traders. Some of the most widely used ones are simple moving averages (e.g. 20SMA, 50 SMA, 100 SMA, 200SMA,...). There are endless combinations of moving averages that can be used. I prefer to use exponential moving averages because they react more quickly to price data (essentially they filter back through the data over a discrete number of timesteps, with more recent history receiving the highest weighting in the final calculation).
This script uses a combination of the 21EMA, 53 EMA, and 100EMA. The idea of this script is to provide insight into when an asset might be close to a local top/bottom by monitoring price within the middle channel (yellow, blue, and orange lines), as well as identifying longer timeframe opportunities to buy/sell by examining the upper (green) and lower (red) bands. Disclaimer: this is not a guarantee that if price enters a region, that it will be a top or bottom, it is simply an indicator to get an idea based on price history.
As far as I know, this particular combination of exponential moving averages has not yet been published. I do not have an infinite amount of time to check through the entire library of published scripts. If someone else has already done this, I was unaware. Numerical computations were performed on ETHBTC price data in order to find the coefficients used in this script. Essentially, each EMA has a multiplier of either 1, a fraction of 1, or a number larger than 1 (these are the numbers in the script being multiplied by 'out1', 'out2', 'out3'; feel free to change these and see how this changes the indicator). I have found it to be useful for myself, and hope other people can tinker with this idea. My only wish is to allow other people to use this starting point to explore for themselves. I hope that I am allowed to publish this script without it being taken down so that others can freely use it.
Recommendations: although this was fit specifically for ETHBTC, it appears useful for many crypto pairs, specifically alt-BTC pairs and crypto-USD pairs. For example, I have found it useful for BTCUSD, ETHUSD, LINKUSD, LINKBTC, ETHBTC, ADABTC, etc. Only use on the DAILY timeframe.
Tape [LucF]█ OVERVIEW
This script prints an ersatz of a trading console's "tape" section to the right of your chart. It displays the time, price and volume of each update of the chart's feed. It also calculates volume delta for the bar. As it calculates from realtime information, it will not display information on historical bars.
█ FEATURES
Calculations
Each new line in the tape displays the last price/volume update from the TradingView feed that's building your chart. These updates do not necessarily correspond to ticks from the originating broker/exchange's matching engine. Multiple broker/exchange ticks are often aggregated in one chart update.
The script first determines if price has moved up or down since the last update. The polarity of the price change, in turn, determines the polarity of the volume for that specific update. If price does not move between consecutive updates, then the last known polarity is used. Using this method, we can calculate a running volume delta accumulation for the bar, which becomes the bar's final volume delta value when the bar closes (you can inspect values of elapsed realtime bars in the Data Window or the indicator's values). Note that these values will all reset if the script re-executes because of a change in inputs or a chart refresh.
While this method of calculating volume delta is not perfect, it is currently the most precise way of calculating volume delta available on TradingView at the moment. Calculating more precise results would require scripts to have access to bid/ask levels from any chart timeframe. Charts at seconds timeframes do use exchange/broker ticks when the feeds you are using allow for it, and this indicator will run on them, but tick data is not yet available from higher timeframes, for now. Also note that the method used in this script is far superior to the intrabar inspection technique used on historical bars in my other "Delta Volume" indicators. This is because volume delta here is calculated from many more realtime updates than the available intrabars in history.
Inputs
You can use the script's inputs to configure:
• The number of lines displayed in the tape.
• If new lines appear at the top or bottom.
• If you want to hide lines with low volume.
• The precision of volume values.
• The size of the text and the colors used to highlight either the tape's text or background.
• The position where you want the tape on your chart.
• Conditions triggering three different markers.
Display
Deltas are shown at the bottom of the tape. They are reset on each bar. Time delta displays the time elapsed since the beginning of the bar, on intraday timeframes only. Contrary to the price change display by TradingView at the top left of charts, which is calculated from the close of the previous bar, the price delta in the tape is calculated from the bar's open, because that's the information used in the calculation of volume delta. The time will become orange when volume delta's polarity diverges from that of the bar. The volume delta value represents the current, cumulative value for the bar. Its color reflects its polarity.
When new realtime bars appear on the chart, a ↻ symbol will appear before the volume value in tape lines.
Markers
There are three types of markers you can choose to display:
• Marker 1 on volume bumps. A bump is defined as two consecutive and increasing/decreasing plus/minus delta volume values,
when no divergence between the polarity of delta volume and the bar occurs on the second bar.
• Marker 2 on volume delta for the bar exceeding a limit of your choice when there is no divergence between the polarity of delta volume and the bar. These trigger at the bar's close.
• Marker 3 on tape lines with volume exceeding a threshold. These trigger in realtime. Be sure to set a threshold high enough so that it doesn't generate too many alerts.
These markers will only display briefly under the bar, but another marker appears next to the relevant line in the tape.
The marker conditions are used to trigger alerts configured on the script. Alert messages will mention the marker(s) that triggered the specific alert event, along with the relevant volume value that triggered the marker. If more than one marker triggers a single alert, they will overprint under the bar, which can make it difficult to distinguish them.
For more detailed on-chart analysis of realtime volume delta, see my Delta Volume Realtime Action .
█ NOTES FOR CODERS
This script showcases two new Pine features:
• Tables, which allow Pine programmers to display tabular information in fixed locations of the chart. The tape uses this feature.
See the Pine User Manual's page on Tables for more information.
• varip -type variables which we can use to save values between realtime updates.
See the " Using `varip` variables " publication by PineCoders for more information.
Risk Management: Position Size & Risk RewardHere is a Risk Management Indicator that calculates stop loss and position sizing based on the volatility of the stock. Most traders use a basic 1 or 2% Risk Rule, where they will not risk more than 1 or 2% of their capital on any one trade. I went further and applied four levels of risk: 0.25%, 0.50%, 1% and 2%. How you apply these different levels of risk is what makes this indicator extremely useful. Here are some common ways to apply this script:
• If the stock is extremely volatile and has a better than 50% chance of hitting the stop loss, then risk only 0.25% of your capital on that trade.
• If a stock has low volatility and has less than 20% change of hitting the stop loss, then risk 2% of your capital on that trade.
• Risking anywhere between 0.25% and 2% is purely based on your intuition and assessment of the market.
• If you are on a losing streak and you want to cut back on your position sizing, then lowering the Risk % can help you weather the storm.
• If you are on a winning streak and your entries are experiencing a higher level of success, then gradually increase the Risk % to reap bigger profits.
• If you want to trade outside the noise of the market or take on more noise/risk, you can adjust the ATR Factor.
• … and whatever else you can imagine using it to benefit your trading.
The position size is calculated using the Capital and Risk % fields, which is the percentage of your total trading capital (a.k.a net liquidity or Capital at Risk). If you instead want to calculate the position size based on a specific amount of money, then enter the amount in the Custom Risk Amt input box. Any amount greater than 0 in the Custom Risk Amt field will override the values in the Capital and Risk % fields.
The stop loss is calculated by using the ATR. The default setting is the 14 RMA, but you can change the length and smoothing of the true range moving average to your liking. Selecting a different length and smoothing affects the stop loss and position size, so choose these values very carefully.
The ATR Factor is a multiplier of the ATR. The ATR Factor can be used to adjust the stop loss and move it outside of the market noise. For the more volatile stock, increase the factor to lower the stop loss and reduce the chance of getting stopped out. For stocks with less volatility , you can lower the factor to raise the stop loss and increase position size. Adjusting the ATR Factor can also be useful when you want the stop loss to be at or below key levels of support.
The Market Session is the hours the market is open. The Market Session only affects the Opening Range Breakout (ORB) option, so it’s important to change these values if you’re trading the ORB and you’re outside of Eastern Standard Time or you’re trading in a foreign exchange.
The ORB is a bonus to the script. When enabled, the indicator will only appear in the first green candle of the day (09:30:00 or 09:30 AM EST or the start time specified in Market Session). When using the ORB, the stop loss is based on the spread of the first candle at the Open. The spread is the difference between the High and Low of the green candle. On 1-day or higher timeframes, the indicator will be the spread of the last (or current) candle.
The output of the indicator is a label overlaying the chart:
1. ATR (14 RMA x2) – This indicated that the stop loss is determined by the ATR. The x2 is the ATR Factor. If ORB is selected, then the first line will show SPREAD, instead of ATR.
2. Capital – This is your total capital or capital at risk.
3. Risk X% of Capital – The amount you’re risking on a % of the Capital. If a Custom Risk Amt is entered, then Risk Amount will be shown in place of Capital and Risk % of Capital.
4. Entry – The current price.
5. Stop Loss – The stop loss price.
6. -1R – The stop loss price and the amount that will be lost of the stop loss is hit.
7. – These are the target prices, or levels where you will want to take profit.
This script is primarily meant for people who are new to active trading and who are looking for a sound risk management strategy based on market volatility . This script can also be used by the more experienced trader who is using a similar system, but also wants to see it applied as an indicator on TradingView. I’m looking forward to maintaining this script and making it better in future revisions. If you want to include or change anything you believe will be a good change or feature, then please contact me in TradingView.
