Trend Trading IndicatorTrend Trading Indicator – Pine Script v5
Overview
The Trend Trading Indicator is designed to help traders identify market trends quickly and effectively. It highlights uptrends and downtrends using Exponential Moving Averages (EMAs) and provides clear buy and sell signals. The indicator is especially useful for detecting insider movements, marketing-driven price pumps, and potential death spirals in crypto and stock markets.
Key Features
✅ Fast-acting trend detection based on EMAs
✅ Clear buy & sell signals marked in blue (BUY) and red (SELL)
✅ Trend zones visually highlighted:
Green for bullish trends (uptrend)
Red for bearish trends (downtrend)
✅ Bold and visible labels for buy and sell signals
✅ Protects against insider selling & marketing hype cycles
✅ Alerts for crossover events
How It Works
Exponential Moving Averages (EMAs)
Short EMA (default: 50-period) represents fast market movement.
Long EMA (default: 100-period) represents slower trends.
When short EMA crosses above long EMA, it signals a buy opportunity.
When short EMA crosses below long EMA, it signals a sell opportunity.
Trend Zones
The area between the two EMAs is color-filled for better trend visualization.
Green Fill: Indicates a bullish trend where short EMA is above long EMA.
Red Fill: Indicates a bearish trend where short EMA is below long EMA.
Buy & Sell Labels
Buy Signal: Blue label “BUY” appears below the candle.
Sell Signal: Red label “SELL” appears above the candle.
Text is in black & bold for better visibility.
Alerts
Custom alerts notify traders when buy or sell conditions occur.
How to Use
Works best in crypto, forex, and stock markets.
Can be used in trend-following or breakout strategies.
Best suited for medium to long-term trades (adjust EMA settings for scalping).
This Trend Trading Indicator helps traders stay ahead of the market by visually identifying strong trends while reducing risks from insider manipulation and death spirals. 🚀
Cari dalam skrip untuk "crypto"
[3Commas] HA & MAHA & MA
🔷What it does: This tool is designed to test a trend-following strategy using Heikin Ashi candles and moving averages. It enters trades after pullbacks, aiming to let profits run once the risk-to-reward ratio reaches 1:1 while securing the position.
🔷Who is it for: It is ideal for traders looking to compare final results using fixed versus dynamic take profits by adjusting parameters and trade direction—a concept applicable to most trading strategies.
🔷How does it work: We use moving averages to define the market trend, then wait for opposite Heikin Ashi candles to form against it. Once these candles reverse in favor of the trend, we enter the trade, using the last swing created by the pullback as the stop loss. By applying the breakeven ratio, we protect the trade and let it run, using the slower moving average as a trailing stop.
A buy signal is generated when:
The previous candle is bearish (ha_bear ), indicating a pullback.
The fast moving average (ma1) is above the slow moving average (ma2), confirming an uptrend.
The current candle is bullish (ha_bull), showing trend continuation.
The Heikin Ashi close is above the fast moving average (ma1), reinforcing the bullish bias.
The real price close is above the open (close > open), ensuring bullish momentum in actual price data.
The signal is confirmed on the closed candle (barstate.isconfirmed) to avoid premature signals.
dir is undefined (na(dir)), preventing repeated signals in the same direction.
A sell signal is generated when:
The previous candle is bullish (ha_bull ), indicating a temporary upward move before a potential reversal.
The fast moving average (ma1) is below the slow moving average (ma2), confirming a downtrend.
The current candle is bearish (ha_bear), showing trend continuation to the downside.
The Heikin Ashi close is below the fast moving average (ma1), reinforcing bearish pressure.
The real price close is below the open (close < open), confirming bearish momentum in actual price data.
The signal is confirmed after the candle closes (barstate.isconfirmed), avoiding premature entries.
dir is undefined (na(dir)), preventing consecutive signals in the same direction.
In simple terms, this setup looks for trend continuation after a pullback, confirming entries with both Heikin Ashi and real price action, supported by moving average alignment to avoid false signals.
If the price reaches a 1:1 risk-to-reward ratio, the stop will be moved to the entry point. However, if the slow moving average surpasses this level, it will become the new exit point, acting as a trailing stop
🔷Why It’s Unique
Easily visualizes the benefits of using risk-to-reward ratios when trading instead of fixed percentages.
Provides a simple and straightforward approach to trading, embracing the "keep it simple" concept.
Offers clear visualization of DCA Bot entry and exit points based on user preferences.
Includes an option to review the message format before sending signals to bots, with compatibility for multi-pair and futures contract pairs.
🔷 Considerations Before Using the Indicator
⚠️Very important: The indicator must be used on charts with real price data, such as Japanese candlesticks, line charts, etc. Do not use it on Heikin Ashi charts, as this may lead to unrealistic results.
🔸Since this is a trend-following strategy, use it on timeframes above 4 hours, where market noise is reduced and trends are clearer. Also, carefully review the statistics before using it, focusing on pairs that tend to have long periods of well-defined trends.
🔸Disadvantages:
False Signals in Ranges: Consolidating markets can generate unreliable signals.
Lagging Indicator: Being based on moving averages, it may react late to sudden price movements.
🔸Advantages:
Trend Focused: Simplifies the identification of trending markets.
Noise Reduction: Uses Heikin Ashi candles to identify trend continuation after pullbacks.
Broad Applicability: Suitable for forex, crypto, stocks, and commodities.
🔸The strategy provides a systematic way to analyze markets but does not guarantee successful outcomes. Use it as an additional tool rather than relying solely on an automated system.
Trading results depend on various factors, including market conditions, trader discipline, and risk management. Past performance does not ensure future success, so always approach the market cautiously.
🔸Risk Management: Define stop-loss levels, position sizes, and profit targets before entering any trade. Be prepared for potential losses and ensure your approach aligns with your overall trading plan.
🔷 STRATEGY PROPERTIES
Symbol: BINANCE:BTCUSDT (Spot).
Timeframe: 4h.
Test Period: All historical data available.
Initial Capital: 10000 USDT.
Order Size per Trade: 1% of Capital, you can use a higher value e.g. 5%, be cautious that the Max Drawdown does not exceed 10%, as it would indicate a very risky trading approach.
Commission: Binance commission 0.1%, adjust according to the exchange being used, lower numbers will generate unrealistic results. By using low values e.g. 5%, it allows us to adapt over time and check the functioning of the strategy.
Slippage: 5 ticks, for pairs with low liquidity or very large orders, this number should be increased as the order may not be filled at the desired level.
Margin for Long and Short Positions: 100%.
Indicator Settings: Default Configuration.
MA1 Length: 9.
MA2 Length: 18.
MA Calculations: EMA.
Take Profit Ratio: Disable. Ratio 1:4.
Breakeven Ratio: Enable, Ratio 1:1.
Strategy: Long & Short.
🔷 STRATEGY RESULTS
⚠️Remember, past results do not guarantee future performance.
Net Profit: +324.88 USDT (+3.25%).
Max Drawdown: -81.18 USDT (-0.78%).
Total Closed Trades: 672.
Percent Profitable: 35.57%.
Profit Factor: 1.347.
Average Trade: +0.48 USDT (+0.48%).
Average # Bars in Trades: 13.
🔷 HOW TO USE
🔸 Adjust Settings:
The default values—MA1 (9) and MA2 (18) with EMA calculation—generally work well. However, you can increase these values, such as 20 and 40, to better identify stronger trends.
🔸 Choose a Symbol that Typically Trends:
Select an asset that tends to form clear trends. Keep in mind that the Strategy Tester results may show poor performance for certain assets, making them less suitable for sending signals to bots.
🔸 Experiment with Ratios:
Test different take profit and breakeven ratios to compare various scenarios—especially to observe how the strategy performs when only the trade is protected.
🔸This is an example of how protecting the trade works: once the price moves in favor of the position with a 1:1 risk-to-reward ratio, the stop loss is moved to the entry price. If the Slow MA surpasses this level, it will act as a trailing stop, aiming to follow the trend and maximize potential gains.
🔸In contrast, in this example, for the same trade, if we set a take profit at a 1:3 risk-to-reward ratio—which is generally considered a good risk-reward relationship—we can see how a significant portion of the upward move is left on the table.
🔸Results Review:
It is important to check the Max Drawdown. This value should ideally not exceed 10% of your capital. Consider adjusting the trade size to ensure this threshold is not surpassed.
Remember to include the correct values for commission and slippage according to the symbol and exchange where you are conducting the tests. Otherwise, the results will not be realistic.
If you are satisfied with the results, you may consider automating your trades. However, it is strongly recommended to use a small amount of capital or a demo account to test proper execution before committing real funds.
🔸Create alerts to trigger the DCA Bot:
Verify Messages: Ensure the message matches the one specified by the DCA Bot.
Multi-Pair Configuration: For multi-pair setups, enable the option to add the symbol in the correct format.
Signal Settings: Enable whether you want to receive long or short signals (Entry | TP | SL), copy and paste the the messages for the DCA Bots configured.
Alert Setup:
When creating an alert, set the condition to the indicator and choose "alert() function call only.
Enter any desired Alert Name.
Open the Notifications tab, enable Webhook URL, and paste the Webhook URL.
For more details, refer to the section: "How to use TradingView Custom Signals".
Finalize Alerts: Click Create, you're done! Alerts will now be sent automatically in the correct format.
🔷 INDICATOR SETTINGS
MA 1: Fast MA Length
MA 2: Slow MA Length
MA Calc: MA's Calculations (SMA,EMA, RMA,WMA)
TP Ratio: This is the take profit ratio relative to the stop loss, where the trade will be closed in profit.
BE Ratio: This is the breakeven ratio relative to the stop loss, where the stop loss will be updated to breakeven or if the MA2 is greater than this level.
Strategy: Order Type direction in which trades are executed.
Use Custom Test Period: When enabled signals only works in the selected time window. If disabled it will use all historical data available on the chart.
Test Start and End: Once the Custom Test Period is enabled, here you select the start and end date that you want to analyze.
Check Messages: Enable the table to review the messages to be sent to the bot.
Entry | TP | SL: Enable this options to send Buy Entry, Take Profit (TP), and Stop Loss (SL) signals.
Deal Entry and Deal Exit : Copy and paste the message for the deal start signal and close order at Market Price of the DCA Bot. This is the message that will be sent with the alert to the Bot, you must verify that it is the same as the bot so that it can process properly so that it executes and starts the trade.
DCA Bot Multi-Pair: You must activate it if you want to use the signals in a DCA Bot Multi-pair in the text box you must enter (using the correct format) the symbol in which you are creating the alert, you can check the format of each symbol when you create the bot.
👨🏻💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented.
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The information and publications within the 3Commas TradingView account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Multi-Indicator Signals with Selectable Options by DiGetMulti-Indicator Signals with Selectable Options
Script Overview
This Pine Script is a multi-indicator trading strategy designed to generate buy/sell signals based on combinations of popular technical indicators: RSI (Relative Strength Index) , CCI (Commodity Channel Index) , and Stochastic Oscillator . The script allows you to select which combination of signals to display, making it highly customizable and adaptable to different trading styles.
The primary goal of this script is to provide clear and actionable entry/exit points by visualizing buy/sell signals with arrows , labels , and vertical lines directly on the chart. It also includes input validation, dynamic signal plotting, and clutter-free line management to ensure a clean and professional user experience.
Key Features
1. Customizable Signal Types
You can choose from five signal types:
RSI & CCI : Combines RSI and CCI signals for confirmation.
RSI & Stochastic : Combines RSI and Stochastic signals.
CCI & Stochastic : Combines CCI and Stochastic signals.
RSI & CCI & Stochastic : Requires all three indicators to align for a signal.
All Signals : Displays individual signals from each indicator separately.
This flexibility allows you to test and use the combination that works best for your trading strategy.
2. Clear Buy/Sell Indicators
Arrows : Buy signals are marked with upward arrows (green/lime/yellow) below the candles, while sell signals are marked with downward arrows (red/fuchsia/gray) above the candles.
Labels : Each signal is accompanied by a label ("BUY" or "SELL") near the arrow for clarity.
Vertical Lines : A vertical line is drawn at the exact bar where the signal occurs, extending from the low to the high of the candle. This ensures you can pinpoint the exact entry point without ambiguity.
3. Dynamic Overbought/Oversold Levels
You can customize the overbought and oversold levels for each indicator:
RSI: Default values are 70 (overbought) and 30 (oversold).
CCI: Default values are +100 (overbought) and -100 (oversold).
Stochastic: Default values are 80 (overbought) and 20 (oversold).
These levels can be adjusted to suit your trading preferences or market conditions.
4. Input Validation
The script includes built-in validation to ensure that oversold levels are always lower than overbought levels for each indicator. If the inputs are invalid, an error message will appear, preventing incorrect configurations.
5. Clean Chart Design
To avoid clutter, the script dynamically manages vertical lines:
Only the most recent 50 buy/sell lines are displayed. Older lines are automatically deleted to keep the chart clean.
Labels and arrows are placed strategically to avoid overlapping with candles.
6. ATR-Based Offset
The vertical lines and labels are offset using the Average True Range (ATR) to ensure they don’t overlap with the price action. This makes the signals easier to see, especially during volatile market conditions.
7. Scalable and Professional
The script uses arrays to manage multiple vertical lines, ensuring scalability and performance even when many signals are generated.
It adheres to Pine Script v6 standards, ensuring compatibility and reliability.
How It Works
Indicator Calculations :
The script calculates the values of RSI, CCI, and Stochastic Oscillator based on user-defined lengths and smoothing parameters.
It then checks for crossover/crossunder conditions relative to the overbought/oversold levels to generate individual signals.
Combined Signals :
Depending on the selected signal type, the script combines the individual signals logically:
For example, a "RSI & CCI" buy signal requires both RSI and CCI to cross into their respective oversold zones simultaneously.
Signal Plotting :
When a signal is generated, the script:
Plots an arrow (upward for buy, downward for sell) at the corresponding bar.
Adds a label ("BUY" or "SELL") near the arrow for clarity.
Draws a vertical line extending from the low to the high of the candle to mark the exact entry point.
Line Management :
To prevent clutter, the script stores up to 50 vertical lines in arrays (buy_lines and sell_lines). Older lines are automatically deleted when the limit is exceeded.
Why Use This Script?
Versatility : Whether you're a scalper, swing trader, or long-term investor, this script can be tailored to your needs by selecting the appropriate signal type and adjusting the indicator parameters.
Clarity : The combination of arrows, labels, and vertical lines ensures that signals are easy to spot and interpret, even in fast-moving markets.
Customization : With adjustable overbought/oversold levels and multiple signal options, you can fine-tune the script to match your trading strategy.
Professional Design : The script avoids clutter by limiting the number of lines displayed and using ATR-based offsets for better visibility.
How to Use This Script
Add the Script to Your Chart :
Copy and paste the script into the Pine Editor in TradingView.
Save and add it to your chart.
Select Signal Type :
Use the "Signal Type" dropdown menu to choose the combination of indicators you want to use.
Adjust Parameters :
Customize the lengths of RSI, CCI, and Stochastic, as well as their overbought/oversold levels, to match your trading preferences.
Interpret Signals :
Look for green arrows and "BUY" labels for buy signals, and red arrows and "SELL" labels for sell signals.
Vertical lines will help you identify the exact bar where the signal occurred.
Tips for Traders
Backtest Thoroughly : Before using this script in live trading, backtest it on historical data to ensure it aligns with your strategy.
Combine with Other Tools : While this script provides reliable signals, consider combining it with other tools like support/resistance levels or volume analysis for additional confirmation.
Avoid Overloading the Chart : If you notice too many signals, try tightening the overbought/oversold levels or switching to a combined signal type (e.g., "RSI & CCI & Stochastic") for fewer but higher-confidence signals.
Cluster Reversal Zones📌 Cluster Reversal Zones – Smart Market Turning Point Detector
📌 Category : Public (Restricted/Closed-Source) Indicator
📌 Designed for : Traders looking for high-accuracy reversal zones based on price clustering & liquidity shifts.
🔍 Overview
The Cluster Reversal Zones Indicator is an advanced market reversal detection tool that helps traders identify key turning points using a combination of price clustering, order flow analysis, and liquidity tracking. Instead of relying on static support and resistance levels, this tool dynamically adjusts to live market conditions, ensuring traders get the most accurate reversal signals possible.
📊 Core Features:
✅ Real-Time Reversal Zone Mapping – Detects high-probability market turning points using price clustering & order flow imbalance.
✅ Liquidity-Based Support/Resistance Detection – Identifies strong rejection zones based on real-time liquidity shifts.
✅ Order Flow Sensitivity for Smart Filtering – Filters out weak reversals by detecting real market participation behind price movements.
✅ Momentum Divergence for Confirmation – Aligns reversal zones with momentum divergences to increase accuracy.
✅ Adaptive Risk Management System – Adjusts risk parameters dynamically based on volatility and trend state.
🔒 Justification for Mashup
The Cluster Reversal Zones Indicator contains custom-built methodologies that extend beyond traditional support/resistance indicators:
✔ Smart Price Clustering Algorithm: Instead of plotting fixed support/resistance lines, this system analyzes historical price clustering to detect active reversal areas.
✔ Order Flow Delta & Liquidity Shift Sensitivity: The tool tracks real-time order flow data, identifying price zones with the highest accumulation or distribution levels.
✔ Momentum-Based Reversal Validation: Unlike traditional indicators, this tool requires a momentum shift confirmation before validating a potential reversal.
✔ Adaptive Reversal Filtering Mechanism: Uses a combination of historical confluence detection + live market validation to improve accuracy.
🛠️ How to Use:
• Works well for reversal traders, scalpers, and swing traders seeking precise turning points.
• Best combined with VWAP, Market Profile, and Delta Volume indicators for confirmation.
• Suitable for Forex, Indices, Commodities, Crypto, and Stock markets.
🚨 Important Note:
For educational & analytical purposes only.
Blockchain Fundamentals: Global LiquidityGlobal Liquidity Indicator Overview
This indicator provides a comprehensive technical analysis of liquidity trends by deriving a Global Liquidity metric from multiple data sources. It applies a suite of technical indicators directly on this liquidity measure, rather than on price data. When this metric is expanding Bitcoin and crypto tends to bullish conditions.
Features:
1. Global Liquidity Calculation
Data Integration: Combines multiple market data sources using a ratio-based formula to produce a unique liquidity measure.
Custom Metric: This liquidity metric serves as the foundational input for further technical analysis.
2. Timeframe Customization
User-Selected Period: Users can select the data timeframe (default is 2 months) to ensure consistency and flexibility in analysis.
3. Additional Technical Indicators
RSI, Momentum, ROC, MACD, and Stochastic:
Each indicator is computed using the Global Liquidity series rather than price.
User-selectable toggles allow for enabling or disabling each individual indicator as desired.
4. Enhanced MACD Visualization
Dynamic Histogram Coloring:
The MACD histogram color adjusts dynamically: brighter hues indicate rising histogram values while darker hues indicate falling values.
When the histogram is above zero, green is used; when below zero, red is applied, offering immediate visual insight into momentum shifts.
Conclusion
This indicator is an enlightening tool for understanding liquidity dynamics, aiding in macroeconomic analysis and investment decision-making by highlighting shifts in liquidity conditions and market momentum.
Fractal Trend Anticipator (FTA)How to Use FTA
Purpose:
FTA is designed to detect when a consolidating (or choppy) market—with a high choppiness index—is poised to break into a trend as indicated by an RSI crossover.
Signals:
Bullish Breakout: When the Choppiness Index is above your set threshold and the RSI crosses upward over 50, a bullish arrow (triangle up) appears below the bar.
Bearish Breakout: Conversely, when the RSI crosses downward from above 50 under high choppiness, a bearish arrow (triangle down) appears above the bar.
Trading Insight:
In crypto markets, when price is range-bound, a sudden release of momentum can be captured early by FTA. Use these signals as early alerts to join moves as they begin—whether you plan to ride a short-term spike or a medium-term trend.
Feel free to adjust the and parameters to suit your trading style and asset volatility. Enjoy trading with your updated Fractal Trend Anticipator!
Volatility-Adjusted Momentum Oscillator (VAMO)Concept & Rationale: This indicator combines momentum and volatility into one oscillator. The idea is that a price move accompanied by high volatility has greater significance. We use Rate of Change (ROC) for momentum and Average True Range (ATR) for volatility, multiplying them to gauge “volatility-weighted momentum.” This concept is inspired by the Weighted Momentum & Volatility Indicator, which multiplies normalized ROC and ATR values. The result is shown as a histogram oscillating around zero – rising green bars indicate bullish momentum, while falling red bars indicate bearish momentum. When the histogram crosses above or below zero, it provides clear buy/sell signals. Higher magnitude bars suggest a stronger trend move. Crypto markets often see volatility spikes preceding big moves, so VAMO aims to capture those moments when momentum and volatility align for a powerful breakout.
Key Features:
Momentum-Volatility Fusion: Measures momentum (price ROC) adjusted by volatility (ATR). Strong trends register prominently only when price change is significant and volatility is elevated.
Intuitive Histogram: Plotted as a color-coded histogram around a zero line – green bars above zero for bullish trends, red bars below zero for bearish. This makes it easy to visualize trend strength and direction at a glance.
Clear Signals: A cross above 0 signals a buy, and below 0 signals a sell. Traders can also watch for the histogram peaking and then shrinking as an early sign of a trend reversal (e.g. bars switching from growing to shrinking while still positive could mean bullish momentum is waning).
Optimized for Volatility: Because ATR is built-in, the oscillator naturally adapts to crypto volatility. In calm periods, signals will be smaller (reducing noise), whereas during volatile swings the indicator accentuates the move, helping predict big price swings.
Customization: The lookback period is adjustable. Shorter periods (e.g. 5-10) make it more sensitive for scalping, while longer periods (20+) smooth it out for swing trading.
How to Use: When VAMO bars turn green and push above zero, it indicates bullish momentum with strong volatility – a cue that price is likely to rally in the near term. Conversely, red bars below zero signal bearish pressure. For example, if a coin’s price has been flat and then VAMO spikes green above zero, it suggests an explosive upward move is brewing. Traders can enter on the zero-line cross (or on the first green bar) and consider exiting when the histogram peaks and starts shrinking (signaling momentum slowdown). In sideways markets, VAMO will hover near zero – staying out during those low-volatility periods helps avoid false signals. This indicator’s strength is catching the moment when a quiet market turns volatile in one direction, which often precedes the next few candlesticks of sustained movement.
Fixed Range LevelsThis indicator draws horizontal price levels on your chart based on a starting price and a range size that you define. It can also draw midpoint lines between the main levels if enabled.
Here's a breakdown of its functionality:
Key Features:
Starting Price:
You define a starting price (e.g., 21630).
The indicator calculates a corrected base price by rounding the starting price to the nearest multiple of the range size.
Range Size:
You define a range size (e.g., 71).
The indicator draws horizontal lines at intervals of the range size above and below the corrected base price.
Dual Ranges:
You can define two range sizes (e.g., 71 and 29).
The indicator can draw levels for both ranges simultaneously or individually, depending on your settings.
Midpoint Lines:
If enabled, the indicator draws midpoint lines between the main levels.
For example, if the main levels are at 21584 and 21655, the midpoint line will be at 21619.5.
Customizable Styles:
You can customize the line style (solid, dotted, dashed) and color for both the main levels and midpoint lines.
Dynamic Levels:
The levels are recalculated and redrawn dynamically based on the starting price and range size.
How It Works:
Corrected Base Price Calculation:
The indicator calculates the corrected base price using the formula:
pinescript
Copy
correctedBasePrice = math.floor(startingPrice / rangeSize) * rangeSize
For example, if startingPrice = 21630 and rangeSize = 71:
Copy
correctedBasePrice = math.floor(21630 / 71) * 71 = 304 * 71 = 21584
Drawing Levels:
The indicator draws horizontal lines at intervals of the range size above and below the corrected base price.
For example, if rangeSize = 71 and maxLevels = 5, the levels will be drawn at:
Copy
21584 - (5 * 71) = 21249
21584 - (4 * 71) = 21320
...
21584 + (5 * 71) = 21939
Midpoint Lines:
If enabled, the indicator draws midpoint lines between the main levels.
For example, if the main levels are at 21584 and 21655, the midpoint line will be at:
Copy
(21584 + 21655) / 2 = 21619.5
Dual Ranges:
If you enable both ranges, the indicator will draw levels for both range sizes simultaneously.
For example, if rangeSize1 = 71 and rangeSize2 = 29, the indicator will draw two sets of levels:
Levels at intervals of 71 (e.g., 21584, 21655, 21726, ...).
Levels at intervals of 29 (e.g., 21634, 21663, 21692, ...).
Example Use Case:
Imagine you're trading a stock or cryptocurrency, and you want to identify key support and resistance levels based on a specific price range. Here's how you can use this indicator:
Set the Starting Price:
For example, if the current price is 21630, you can set this as the starting price.
Define the Range Size:
If you believe the price moves in increments of 71, set rangeSize1 = 71.
If you also want to track smaller increments of 29, set rangeSize2 = 29.
Enable Midpoint Lines:
If you want to see the midpoint between the main levels, enable Show Midpoint Line.
Customize Line Styles:
Choose different colors and styles for the main levels and midpoint lines to make them visually distinct.
Analyze the Chart:
The indicator will draw horizontal lines at the specified intervals, helping you identify potential support, resistance, and midpoint levels.
Why Is This Useful?
Support and Resistance Levels:
The horizontal lines act as dynamic support and resistance levels based on the range size you define.
Price Targets:
You can use the levels to identify potential price targets or areas where the price might reverse.
Midpoint Analysis:
The midpoint lines can help you identify areas of consolidation or potential breakout points.
Flexibility:
You can customize the range sizes, colors, and styles to suit your trading strategy.
Summary:
This indicator is a powerful tool for traders who want to visualize price levels and midpoints based on a specific range size. It helps you identify key levels for support, resistance, and potential price targets, making it easier to plan your trades.
Volatility Momentum Breakout StrategyDescription:
Overview:
The Volatility Momentum Breakout Strategy is designed to capture significant price moves by combining a volatility breakout approach with trend and momentum filters. This strategy dynamically calculates breakout levels based on market volatility and uses these levels along with trend and momentum conditions to identify trade opportunities.
How It Works:
1. Volatility Breakout:
• Methodology:
The strategy computes the highest high and lowest low over a defined lookback period (excluding the current bar to avoid look-ahead bias). A multiple of the Average True Range (ATR) is then added to (or subtracted from) these levels to form dynamic breakout thresholds.
• Purpose:
This method helps capture significant price movements (breakouts) while ensuring that only past data is used, thereby maintaining realistic signal generation.
2. Trend Filtering:
• Methodology:
A short-term Exponential Moving Average (EMA) is applied to determine the prevailing trend.
• Purpose:
Long trades are considered only when the current price is above the EMA, indicating an uptrend, while short trades are taken only when the price is below the EMA, indicating a downtrend.
3. Momentum Confirmation:
• Methodology:
The Relative Strength Index (RSI) is used to gauge market momentum.
• Purpose:
For long entries, the RSI must be above a mid-level (e.g., above 50) to confirm upward momentum, and for short entries, it must be below a similar threshold. This helps filter out signals during overextended conditions.
Entry Conditions:
• Long Entry:
A long position is triggered when the current closing price exceeds the calculated long breakout level, the price is above the short-term EMA, and the RSI confirms momentum (e.g., above 50).
• Short Entry:
A short position is triggered when the closing price falls below the calculated short breakout level, the price is below the EMA, and the RSI confirms momentum (e.g., below 50).
Risk Management:
• Position Sizing:
Trades are sized to risk a fixed percentage of account equity (set here to 5% per trade in the code, with each trade’s stop loss defined so that risk is limited to approximately 2% of the entry price).
• Stop Loss & Take Profit:
A stop loss is placed a fixed ATR multiple away from the entry price, and a take profit target is set to achieve a 1:2 risk-reward ratio.
• Realistic Backtesting:
The strategy is backtested using an initial capital of $10,000, with a commission of 0.1% per trade and slippage of 1 tick per bar—parameters chosen to reflect conditions faced by the average trader.
Important Disclaimers:
• No Look-Ahead Bias:
All breakout levels are calculated using only past data (excluding the current bar) to ensure that the strategy does not “peek” into future data.
• Educational Purpose:
This strategy is experimental and provided solely for educational purposes. Past performance is not indicative of future results.
• User Responsibility:
Traders should thoroughly backtest and paper trade the strategy under various market conditions and adjust parameters to fit their own risk tolerance and trading style before live deployment.
Conclusion:
By integrating volatility-based breakout signals with trend and momentum filters, the Volatility Momentum Breakout Strategy offers a unique method to capture significant price moves in a disciplined manner. This publication provides a transparent explanation of the strategy’s components and realistic backtesting parameters, making it a useful tool for educational purposes and further customization by the TradingView community.
WAGMI LAB Trend Reversal Indicator HMA-Kahlman (m15)WAGMI HMA-Kahlman Trend Reversal Indicator
This indicator combines the Hull Moving Average (HMA) with the Kahlman filter to provide a dynamic trend reversal signal, perfect for volatile assets like Bitcoin. The strategy works particularly well on lower timeframes, making it ideal for intraday trading and fast-moving markets.
Key Features:
Trend Detection: It uses a blend of HMA and Kahlman filters to detect trend reversals, providing more accurate and timely signals.
Volatility Adaptability: Designed with volatile assets like Bitcoin in mind, this indicator adapts to rapid price movements, offering smoother trend detection during high volatility.
Easy Visualization: Buy (B) and Sell (S) signals are clearly marked with labels, helping traders spot trend shifts quickly and accurately.
Trendlines Module: The indicator plots trendlines based on pivot points, highlighting important support and resistance levels. This helps traders understand the market structure and identify potential breakout or breakdown zones.
Customizable: Adjust the HMA and Kahlman parameters to fit different assets or trading styles, making it flexible for various market conditions.
Usage Tips:
Best Timeframes: The indicator performs exceptionally well on lower timeframes (such as 15-minute to 1-hour charts), making it ideal for scalping and short-term trading strategies.
Ideal for Volatile Assets: This strategy is perfect for highly volatile assets like Bitcoin, but can also be applied to other cryptocurrencies and traditional markets with high price fluctuations.
Signal Confirmation: Use the trend signals (green for uptrend, red for downtrend) along with the buy/sell labels to help you confirm potential entries and exits. It's also recommended to combine the signals with other technical tools like volume analysis or RSI for enhanced confirmation.
Trendline Analysis: The plotted trendlines provide additional visual context to identify key market zones, supporting your trading decisions with a clear view of ongoing trends and possible reversal areas.
Risk Management: As with any strategy, always consider proper risk management techniques, such as stop-loss and take-profit levels, to protect against unforeseen market moves.
Ultimate Stochastics Strategy by NHBprod Use to Day Trade BTCHey All!
Here's a new script I worked on that's super simple but at the same time useful. Check out the backtest results. The backtest results include slippage and fees/commission, and is still quite profitable. Obviously the profitability magnitude depends on how much capital you begin with, and how much the user utilizes per order, but in any event it seems to be profitable according to backtests.
This is different because it allows you full functionality over the stochastics calculations which is designed for random datasets. This script allows you to:
Designate ANY period of time to analyze and study
Choose between Long trading, short trading, and Long & Short trading
It allows you to enter trades based on the stochastics calculations
It allows you to EXIT trades using the stochastics calculations or take profit, or stop loss, Or any combination of those, which is nice because then the user can see how one variable effects the overall performance.
As for the actual stochastics formula, you get control, and get to SEE the plot lines for slow K, slow D, and fast K, which is usually not considered.
You also get the chance to modify the smoothing method, which has not been done with regular stochastics indicators. You get to choose the standard simple moving average (SMA) method, but I also allow you to choose other MA's such as the HMA and WMA.
Lastly, the user gets the option of using a custom trade extender, which essentially allows a buy or sell signal to exist for X amount of candles after the initial signal. For example, you can use "max bars since signal" to 1, and this will allow the indicator to produce an extra sequential buy signal when a buy signal is generated. This can be useful because it is possible that you use a small take profit (TP) and quickly exit a profitable trade. With the max bars since signal variable, you're able to reenter on the next candle and allow for another opportunity.
Let me know if you have any questions! Please take a look at the performance report and let me know your thoughts! :)
Multi-indicator Signal Builder [Skyrexio]Overview
Multi-Indicator Signal Builder is a versatile, all-in-one script designed to streamline your trading workflow by combining multiple popular technical indicators under a single roof. It features a single-entry, single-exit logic, intrabar stop-loss/take-profit handling, an optional time filter, a visually accessible condition table, and a built-in statistics label. Traders can choose any combination of 12+ indicators (RSI, Ultimate Oscillator, Bollinger %B, Moving Averages, ADX, Stochastic, MACD, PSAR, MFI, CCI, Heikin Ashi, and a “TV Screener” placeholder) to form entry or exit conditions. This script aims to simplify strategy creation and analysis, making it a powerful toolkit for technical traders.
Indicators Overview
1. RSI (Relative Strength Index)
Measures recent price changes to evaluate overbought or oversold conditions on a 0–100 scale.
2. Ultimate Oscillator (UO)
Uses weighted averages of three different timeframes, aiming to confirm price momentum while avoiding false divergences.
3. Bollinger %B
Expresses price relative to Bollinger Bands, indicating whether price is near the upper band (overbought) or lower band (oversold).
4. Moving Average (MA)
Smooths price data over a specified period. The script supports both SMA and EMA to help identify trend direction and potential crossovers.
5. ADX (Average Directional Index)
Gauges the strength of a trend (0–100). Higher ADX signals stronger momentum, while lower ADX indicates a weaker trend.
6. Stochastic
Compares a closing price to a price range over a given period to identify momentum shifts and potential reversals.
7. MACD (Moving Average Convergence/Divergence)
Tracks the difference between two EMAs plus a signal line, commonly used to spot momentum flips through crossovers.
8. PSAR (Parabolic SAR)
Plots a trailing stop-and-reverse dot that moves with the trend. Often used to signal potential reversals when price crosses PSAR.
9. MFI (Money Flow Index)
Similar to RSI but incorporates volume data. A reading above 80 can suggest overbought conditions, while below 20 may indicate oversold.
10. CCI (Commodity Channel Index)
Identifies cyclical trends or overbought/oversold levels by comparing current price to an average price over a set timeframe.
11. Heikin Ashi
A type of candlestick charting that filters out market noise. The script uses a streak-based approach (multiple consecutive bullish or bearish bars) to gauge mini-trends.
12. TV Screener
A placeholder condition designed to integrate external buy/sell logic (like a TradingView “Buy” or “Sell” rating). Users can override or reference external signals if desired.
Unique Features
1. Multi-Indicator Entry and Exit
You can selectively enable any subset of 12+ classic indicators, each with customizable parameters and conditions. A position opens only if all enabled entry conditions are met, and it closes only when all enabled exit conditions are satisfied, helping reduce false triggers.
2. Single-Entry / Single-Exit with Intrabar SL/TP
The script supports a single position at a time. Once a position is open, it monitors intrabar to see if the price hits your stop-loss or take-profit levels before the bar closes, making results more realistic for fast-moving markets.
3. Time Window Filter
Users may specify a start/end date range during which trades are allowed, making it convenient to focus on specific market cycles for backtesting or live trading.
4. Condition Table and Statistics
A table at the bottom of the chart lists all active entry/exit indicators. Upon each closed trade, an integrated statistics label displays net profit, total trades, win/loss count, average and median PnL, etc.
5. Seamless Alerts and Automation
Configure alerts in TradingView using “Any alert() function call.”
The script sends JSON alert messages you can route to your own webhook.
The indicator can be integrated with Skyrexio alert bots to automate execution on major cryptocurrency exchanges
6. Optional MA/PSAR Plots
For added visual clarity, optionally plot the chosen moving averages or PSAR on the chart to confirm signals without stacking multiple indicators.
Methodology
1. Multi-Indicator Entry Logic
When multiple entry indicators are enabled (e.g., RSI + Stochastic + MACD), the script requires all signals to align before generating an entry. Each indicator can be set for crossovers, crossunders, thresholds (above/below), etc. This “AND” logic aims to filter out low-confidence triggers.
2. Single-Entry Intrabar SL/TP
One Position At a Time: Once an entry signal triggers, a trade opens at the bar’s close.
Intrabar Checks: Stop-loss and take-profit levels (if enabled) are monitored on every tick. If either is reached, the position closes immediately, without waiting for the bar to end.
3. Exit Logic
All Conditions Must Agree: If the trade is still open (SL/TP not triggered), then all enabled exit indicators must confirm a closure before the script exits on the bar’s close.
4. Time Filter
Optional Trading Window: You can activate a date/time range to constrain entries and exits strictly to that interval.
Justification of Methodology
Indicator Confluence: Combining multiple tools (RSI, MACD, etc.) can reduce noise and false signals.
Intrabar SL/TP: Capturing real-time spikes or dips provides a more precise reflection of typical live trading scenarios.
Single-Entry Model: Straightforward for both manual and automated tracking (especially important in bridging to bots).
Custom Date Range: Helps refine backtesting for specific market conditions or to avoid known irregular data periods.
How to Use
1. Add the Script to Your Chart
In TradingView, open Indicators , search for “Multi-indicator Signal Builder”.
Click to add it to your chart.
2. Configure Inputs
Time Filter: Set a start and end date for trades.
Alerts Messages: Input any JSON or text payload needed by your external service or bot.
Entry Conditions: Enable and configure any indicators (e.g., RSI, MACD) for a confluence-based entry.
Close Conditions: Enable exit indicators, along with optional SL (negative %) and TP (positive %) levels.
3. Set Up Alerts
In TradingView, select “Create Alert” → Condition = “Any alert() function call” → choose this script.
Entry Alert: Triggers on the script’s entry signal.
Close Alert: Triggers on the script’s close signal (or if SL/TP is hit).
Skyrexio Alert Bots: You can route these alerts via webhook to Skyrexio alert bots to automate order execution on major crypto exchanges (or any other supported broker).
4. Visual Reference
A condition table at the bottom summarizes active signals.
Statistics Label updates automatically as trades are closed, showing PnL stats and distribution metrics.
Backtesting Guidelines
Symbol/Timeframe: Works on multiple assets and timeframes; always do thorough testing.
Realistic Costs: Adjust commissions and potential slippage to match typical exchange conditions.
Risk Management: If using the built-in stop-loss/take-profit, set percentages that reflect your personal risk tolerance.
Longer Test Horizons: Verify performance across diverse market cycles to gauge reliability.
Example of statistic calculation
Test Period: 2023-01-01 to 2025-12-31
Initial Capital: $1,000
Commission: 0.1%, Slippage ~5 ticks
Trade Count: 468 (varies by strategy conditions)
Win rate: 76% (varies by strategy conditions)
Net Profit: +96.17% (varies by strategy conditions)
Disclaimer
This indicator is provided strictly for informational and educational purposes .
It does not constitute financial or trading advice.
Past performance never guarantees future results.
Always test thoroughly in demo environments before using real capital.
Enjoy exploring the Multi-Indicator Signal Builder! Experiment with different indicator combinations and adjust parameters to align with your trading preferences, whether you trade manually or link your alerts to external automation services. Happy trading and stay safe!
PlanDeFi: Adaptive Trend Ribbons [ATR+RSI]#### **Overview**
The **Crypto Half-Trend Pro ** is a trend-following indicator designed to identify bullish and bearish market conditions using a combination of **moving averages, volatility adjustments, and dynamic ATR bands**. This enhanced version improves on the traditional Half-Trend system by incorporating **EMA smoothing, volatility-based adjustments, and additional fakeout/reversal detection mechanisms**.
#### **Key Features**
✅ **Trend Detection:**
- Uses a combination of fast and slow moving averages (EMA/SMA) to determine trend direction.
- Implements **Hull Moving Average (HMA)** smoothing for better trend visualization.
✅ **Dynamic ATR Bands:**
- Adjusts bands based on market volatility using **RSI-based ATR multipliers**.
- Helps identify potential **breakouts and trend reversals**.
✅ **Fakeout & Reversal Detection:**
- Detects potential **fake breakouts** by analyzing price action against extended ATR bands.
- Identifies **early reversal signals** using price crossovers and volume confirmation.
✅ **Customizable Alerts & Visuals:**
- Built-in **buy & sell signals** for trend confirmation.
- Color-coded bullish/bearish trend lines and **fakeout warnings**.
- **TradingView alerts** for trend shifts and reversals.
#### **How It Works**
🔹 The indicator calculates a **smoothed trend line** using a Hull Moving Average on dynamic price levels.
🔹 ATR bands expand/contract dynamically based on **market volatility** to improve signal accuracy.
🔹 Trend direction is confirmed when price crosses the trend line **with volume confirmation**.
🔹 **Fakeouts** are detected when price temporarily exceeds extended bands but fails to hold momentum.
🔹 **Reversal signals** are generated when price breaks back into the ATR zone with volume spikes.
#### **How to Use It**
- 📈 **Buy Signal:** When price breaks above the trend line, confirmed by volume and crossover signals.
- 📉 **Sell Signal:** When price breaks below the trend line with confirmed bearish conditions.
- 🚨 **Reversal Warning:** If price sharply re-enters the ATR zone with volume confirmation, expect a potential trend shift.
- 🛑 **Fakeout Alert:** If price temporarily breaks resistance but closes back inside, it may be a false move.
#### **Ideal For**
✔️ Crypto & Forex traders looking for **dynamic trend signals**
✔️ Swing traders wanting to **avoid fakeouts & catch reversals**
✔️ Traders seeking a **customizable, volatility-adjusted trend system**
🚀 **Try PlanDeFi: Adaptive Trend Ribbons today and improve your trend analysis!**
QT RSI [ W.ARITAS ]The QT RSI is an innovative technical analysis indicator designed to enhance precision in market trend identification and decision-making. Developed using advanced concepts in quantum mechanics, machine learning (LSTM), and signal processing, this indicator provides actionable insights for traders across multiple asset classes, including stocks, crypto, and forex.
Key Features:
Dynamic Color Gradient: Visualizes market conditions for intuitive interpretation:
Green: Strong buy signal indicating bullish momentum.
Blue: Neutral or observation zone, suggesting caution or lack of a clear trend.
Red: Strong sell signal indicating bearish momentum.
Quantum-Enhanced RSI: Integrates adaptive energy levels, dynamic smoothing, and quantum oscillators for precise trend detection.
Hybrid Machine Learning Model: Combines LSTM neural networks and wavelet transforms for accurate prediction and signal refinement.
Customizable Settings: Includes advanced parameters for dynamic thresholds, sensitivity adjustment, and noise reduction using Kalman and Jurik filters.
How to Use:
Interpret the Color Gradient:
Green Zone: Indicates bullish conditions and potential buy opportunities. Look for upward momentum in the RSI plot.
Blue Zone: Represents a neutral or consolidation phase. Monitor the market for trend confirmation.
Red Zone: Indicates bearish conditions and potential sell opportunities. Look for downward momentum in the RSI plot.
Follow Overbought/Oversold Boundaries:
Use the upper and lower RSI boundaries to identify overbought and oversold conditions.
Leverage Advanced Filtering:
The smoothed signals and quantum oscillator provide a robust framework for filtering false signals, making it suitable for volatile markets.
Application: Ideal for traders and analysts seeking high-precision tools for:
Identifying entry and exit points.
Detecting market reversals and momentum shifts.
Enhancing algorithmic trading strategies with cutting-edge analytics.
Dominance: USDT + USDCThis script combines the dominance of USDT and USDC, the two largest stablecoins in the market, to provide a clear and accurate view of their impact on the total cryptocurrency market cap.
Key Features:
- Individual Dominance: Displays the percentage dominance of USDT and USDC separately.
- Combined Dominance: Shows a line combining the dominance of both stablecoins to understand their total market influence.
- Real-Time Accuracy: Updates values based on the latest TradingView data.
- Visual Clarity: Unique colors for each line for easy interpretation:
- Blue: USDT Dominance.
- Green: USDC Dominance.
- Red: Total Combined Dominance.
Benefits:
- Strategic Analysis: Evaluate how stablecoins influence capital flow in the crypto market.
- Identify Trends: Understand growth or decline in dominance to detect market direction changes.
- Informed Decisions: Ideal for traders analyzing the relationship between stablecoins and overall market movements.
How to Use:
- Add the script to your chart and monitor the dominance lines.
- Use the insights to support your trading strategy.
Note: This script does not provide buy or sell signals. It is intended for informational and analytical purposes.
Currency ComparatorIndicator Description
This script helps you compare the price changes of various cryptocurrencies against each other.
While TradingView provides some pairs like ETH/BTC or BNB/BTC, it lacks support for comparing lower-market-cap coins against BTC or other currencies. That’s where this script comes in, allowing you to easily view ratios like DOGS/BTC, LSD/BTC, and more.
You can also analyze the relationship between two high-market-cap assets, such as ETH/SOL, which is often not available directly on TradingView.
Additionally, this indicator enables you to view the changes of two cryptocurrencies alongside a base currency. For example, you can observe how Bitcoin's rise impacts LSD and whether it strengthens or weakens relative to BTC.
Features
Maximized View: You can open the indicator in a maximized chart view and use it like any other chart for your technical analysis.
Customizable Comparisons: Compare any two assets with ease by configuring the indicator inputs.
Important Notes
1.Preserving Drawings:
Drawings and tools applied to the indicator chart are not tied to the indicator’s settings. This means changing the inputs won’t affect them. To avoid losing your work:
Open the chart of the base asset (e.g., LSD/USDT) where you want to analyze a specific pair (e.g., LSD/BTC).
Use the indicator there. This way, whenever you want to revisit your analysis, you only need to open the base chart (e.g., LSD/USDT) and update the indicator inputs to the desired pair (e.g., LSD/BTC).
2.Deleting the Indicator:
Removing the indicator from the chart will also delete all your drawings. If you need to keep them, do not delete the indicator.
3.Precision Settings:
By default, the indicator displays up to 12 decimal places (precision). For pairs where such precision isn’t required, you can adjust it in the settings under the "Style" section to your preferred value. If you need higher precision again, simply reset it to the default value.
DCA Simulation for CryptoCommunity v1.1Overview
This script provides a detailed simulation of a Dollar-Cost Averaging (DCA) strategy tailored for crypto traders. It allows users to visualize how their DCA strategy would perform historically under specific parameters. The script is designed to help traders understand the mechanics of DCA and how it influences average price movement, budget utilization, and trade outcomes.
Key Features:
Combines Interval and Safety Order DCA:
Interval DCA: Regular purchases based on predefined time intervals.
Safety Order DCA: Additional buys triggered by percentage price drops.
Interactive Visualization:
Displays buy levels, average price, and profit-taking points on the chart.
Allows traders to assess how their strategy adapts to price movements.
Comprehensive Dashboard:
Tracks money spent, contracts acquired, and budget utilization.
Shows maximum amounts used if profit-taking is active.
Dynamic Safety Orders:
Resets safety orders when a new higher high is established.
Customizable Parameters:
Adjustable buy frequency, safety order settings, and profit-taking levels.
Suitable for traders with varying budgets and risk tolerances.
Default Strategy Settings:
Account Size: Default account size is set to $10,000 to represent a realistic budget for the average trader.
Commission & Slippage: Includes realistic trading fees and slippage assumptions to ensure accurate backtesting results.
Risk Management: Defaults to risking no more than 5% of the account balance per trade.
Sample Size: Optimized to generate a minimum of 100 trades for meaningful statistical analysis. Users can adjust parameters to fit longer timeframes or different datasets.
Usage Instructions:
Configure Your Strategy: Set the base order, safety order size, and buy frequency based on your preferred DCA approach.
Analyze Historical Performance: Use the chart and dashboard to understand how the strategy performs under different market conditions.
Optimize Parameters: Adjust settings to align with your risk tolerance and trading objectives.
Important Notes:
This script is for educational and simulation purposes. It is not intended to provide financial advice or guarantee profitability.
If the strategy's default settings do not meet your needs, feel free to adjust them while keeping risk management in mind.
TradingView limits the number of open trades to 999, so reduce the buy frequency if necessary to fit longer timeframes.
Codi's Perp-Spot Basis# Perp-Spot Basis Indicator
This indicator calculates the percentage basis between perpetual futures and spot prices for crypto assets. It is inspired by the original concept from **Krugermacro**, with the added improvement of **automatic detection of the asset pairs** based on the current chart symbol. This enhancement makes it faster and easier to apply across different assets without manual configuration.
## How It Works
The indicator compares the perpetual futures price (e.g., `BTCUSDT.P`) to the spot price (e.g., `BTCUSDT`) on Binance. The difference is expressed as a percentage: (Perp - Spot) / Spot * 100
The results are displayed in a color-coded graph:
- **Blue (Positive Basis):** Perpetual futures are trading at a premium, indicating **bullish sentiment** among derivatives traders.
- **Red (Negative Basis):** Perpetual futures are trading at a discount, indicating **bearish sentiment** among derivatives traders.
This percentage basis is a core component in understanding funding rates and derivatives market dynamics. It serves as a faster proxy for funding rates, which typically lag behind real-time price movements.
---
## How to Use It
### General Concept
- **Red (Negative Basis):** Ideal to execute **longs** when derivatives traders are overly bearish.
- **Blue (Positive Basis):** Ideal to execute **shorts** when derivatives traders are overly bullish.
### Pullback Sniping
1. During an **uptrend**:
- If the basis turns **red** temporarily, it can signal an opportunity to **buy the dip**.
2. During a **downtrend**:
- If the basis turns **blue** temporarily, it can signal an opportunity to **sell the rip**.
3. Wait for the basis to **pop back** (higher in uptrend, lower in downtrend) to time entries more effectively—this often coincides with **stop runs** or **liquidations**.
### Intraday Execution
- **When price is falling**:
- If the basis is **red**, the move is derivatives-led (**normal**).
- If the basis is **blue**, spot traders are leading, and perps are offside—wait for **price dumps** before longing.
- **When price is rising**:
- If the basis is **blue**, the move is derivatives-led (**normal**).
- If the basis is **red**, spot traders are leading, and perps are offside—wait for **price pops** before shorting.
### Larger Time Frames
- **Consistently Blue Basis:** Indicates a **bull market** as derivatives traders are bullish over the long term.
- **Consistently Red Basis:** Indicates a **bear market** as derivatives traders are bearish over the long term.
---
## Improvements Over the Original
This version of the Perp-Spot Basis indicator **automatically detects the Binance perpetual futures and spot pairs** based on the current chart symbol. For example:
- If you are viewing `ETHUSDT`, it automatically references `ETHUSDT.P` for the perpetual futures pair and `ETHUSDT` for the spot pair in BINANCE.
MATA GOLD RATIOMata Gold Instrument: User Guide
The Instrument to Gold Oscillator is a technical analysis tool that normalizes the ratio of an instrument's price (e.g., BTC/USD) to the price of gold (XAU/USD) into a 0-100 scale. This provides a clear and intuitive way to evaluate the relative performance of an instrument compared to gold over a specified period.
---
How It Works
1. Calculation of the Ratio:
The ratio is calculated as:
\text{Ratio} = \frac{\text{Instrument Price}}{\text{Gold Price}}
2. Normalization:
The ratio is normalized using the highest and lowest values over a user-defined period (length), typically 14 periods:
\text{Normalized Ratio} = \frac{\text{Ratio} - \text{Min(Ratio)}}{\text{Max(Ratio)} - \text{Min(Ratio)}} \times 100
3. Overbought/Oversold Levels:
Above 80: The instrument is relatively expensive compared to gold (overbought).
Below 20: The instrument is relatively cheap compared to gold (oversold).
---
How to Use the Oscillator
1. Identify Overbought and Oversold Levels:
If the oscillator rises above 80, the instrument may be overvalued relative to gold. This could signal a potential reversal or correction.
If the oscillator falls below 20, the instrument may be undervalued relative to gold. This could signal a buying opportunity.
2. Track Trends:
Rising oscillator values indicate the instrument is gaining value relative to gold.
Falling oscillator values indicate the instrument is losing value relative to gold.
3. Crossing the Midline (50):
When the oscillator crosses above 50, the instrument's value is gaining strength relative to gold.
When it crosses below 50, the instrument is weakening relative to gold.
4. Combine with Other Indicators:
Use this oscillator alongside other technical indicators (e.g., RSI, MACD, STOCH) for more robust decision-making.
Confirm signals from the oscillator with price action or volume analysis.
---
Example Scenarios
1. Trading Cryptocurrencies Against Gold:
If BTC/USD's oscillator value is above 80, Bitcoin may be overvalued relative to gold. Consider reducing exposure or looking for short opportunities.
If BTC/USD's oscillator value is below 20, Bitcoin may be undervalued relative to gold. This could be a good time to accumulate.
2. Commodities vs. Gold:
Analyze the relative strength of commodities (e.g., oil, silver) against gold using the oscillator to identify periods of overperformance or underperformance.
---
Advantages of the Oscillator
Relative Performance Insight: Tracks the performance of an instrument relative to gold, providing a macro perspective.
Clear Visual Representation: The 0-100 scale makes it easy to identify overbought/oversold conditions and trend shifts.
Customizable Periods: The user-defined length allows flexibility in analyzing short- or long-term trends.
---
Limitations
Dependence on Gold: As the oscillator is based on gold prices, any external shocks to gold (e.g., geopolitical events) can influence its signals.
No Absolute Buy/Sell Signals: The oscillator should not be used in isolation but as part of a broader analysis strategy.
---
By using the Instrument to Gold Oscillator effectively, traders and investors can gain valuable insights into the relative valuation and performance of assets compared to gold, enabling more informed trading and investment decisions.
BTC-SPX Momentum Gauge + EMA SignalHere's an explanation of the market dynamics and signal benefits of this script:
Momentum and Sentiment Indicator:
The script uses the momentum of the S&P 500 to change the chart's background color, providing a quick visual cue of market sentiment. Green indicates potential bullish momentum in the broader market, while red suggests bearish momentum. This can help traders gauge overall market direction at a glance.
Bitcoin Trend Analysis:
By plotting the scaled TEMA of Bitcoin (BTC), traders can see how Bitcoin's trend correlates or diverges from the current asset being analyzed. Since Bitcoin is often viewed as a hedge against traditional financial systems or inflation, its trend can signal broader economic shifts or investor sentiment towards alternative investments.
Dual Trend Confirmation:
The script offers two trend lines: one for Bitcoin and one for the current ticker. When these lines move in tandem, it might indicate a strong market trend across both traditional and crypto markets. Divergence between these lines can highlight potential market anomalies or opportunities for arbitrage or hedging.
Smoothness vs. Reactivity:
The use of TEMA for Bitcoin provides a smoother signal than a simple moving average, reducing lag while still reacting to price changes. This can be particularly useful for identifying longer-term trends in Bitcoin's volatile market. The 20-period EMA for the current ticker, on the other hand, gives a quicker response to price changes in the asset you're directly trading.
Cross-Asset Correlation:
By overlaying Bitcoin's trend on another asset's chart, traders can analyze how these markets might influence each other. For instance, if Bitcoin is in an uptrend while a traditional asset is declining, it might suggest capital rotation into cryptocurrencies.
Trading Signals:
Crossovers or divergences between the TEMA of Bitcoin and the EMA of the current ticker could be used as signals for entry or exit points. For example, if the BTC TEMA crosses above the current ticker's EMA, it might suggest a shift towards crypto assets.
Risk Management:
The visual cues from the background color and moving averages can aid in risk management. For example, trading in the direction of the momentum indicated by the background color might be seen as going with the market flow, potentially reducing risk.
Macro-Economic Insights:
The relationship between Bitcoin and traditional markets can offer insights into macroeconomic conditions, particularly related to inflation, monetary policy, and investor sentiment towards fiat currencies.
Headwind and tailwind:
Currently BTC correlated trade instruments experience headwind or tailwind from the broader market. This indicator lets the user see it to help their trade decision process.
Additional Statement:
As the market realizes the dangers of the fiat that its construct is built upon and evolves and migrates into stable money, incorruptible by inflation, this indicator will reveal the external influence of that corruptible and the internal influence of the incorruptible; having diminishing returns as the rise of stable money overtakes the treasuries of the fiat construct.
MEMEQUANTMEMEQUANT
This script is a comprehensive and specialized tool designed for tracking trends and money flow within meme coins and DEX tokens. By combining various features such as trend lines, Fibonacci levels, and category-based indices, it helps traders make informed decisions in highly volatile markets.
Key Features:
1. Category-Based Indices:
• Tracks the performance of token categories like:
• AI Agent Tokens
• AI Tokens
• Animal Tokens
• Murad Picks
• Each category consists of leader tokens, which are selected based on their higher market cap and trading volume. These tokens act as benchmarks for their respective categories.
• Visualizes category indices in a line chart to identify trends and compare money flow between categories.
2. Fibonacci Correction Zones:
• Highlights key retracement levels (e.g., 60%, 70%, 80%).
• These levels are crucial for identifying potential reversal zones, commonly observed in meme coin trading patterns.
• Fully customizable to match individual trading strategies.
3. Trend Lines:
• Automatically detects major support and resistance levels.
• Separates long-term and short-term trend lines, allowing traders to focus on significant price movements.
4. Enhanced Info Table:
• Provides real-time insights, including:
• % Distance from All-Time High (ATH)
• Current Trading Volume
• 50-bar Average Volume
• Volume Change Percentage
• Displays information in an easy-to-read table on the chart.
5. Customizable Settings:
• Users can adjust transparency, colors, and ranges for Fibonacci zones, trend lines, and the table.
• Enables or disables individual features (e.g., Fibonacci, trend lines, table) based on preferences.
How It Works:
1. Tracking Money Flow Across Categories:
• The script calculates the market cap to volume ratio for each category of tokens to help identify the dominant trend.
• A higher ratio indicates greater liquidity and stability, while a lower ratio suggests higher volatility or price manipulation.
2. Identifying Retracement Patterns:
• Leverages common retracement behaviors (e.g., 70% correction levels) observed in meme coins to detect potential reversal zones.
• Combines this with trend line analysis for additional confirmation.
3. Leader Tokens as Indicators:
• Each category is represented by its leader tokens, which have historically higher liquidity and market cap. This allows the script to accurately reflect the overall trend in each category.
When to Use:
• Trend Analysis: To identify which category (e.g., AI Tokens or Animal Tokens) is leading the market.
• Reversal Zones: To spot potential support or resistance levels using Fibonacci zones.
• Money Flow: To understand how capital is moving across different token categories in real time.
Who Is This For?
This script is tailored for:
• Traders specializing in meme coins and DEX tokens.
• Those looking for an edge in trend-based trading by analyzing market cap, volume, and retracement levels.
• Anyone aiming to track money flow dynamics between different token categories.
Future Updates:
This is the initial version of the script. Future updates may include:
• Support for additional token categories and DEX data.
• More advanced pattern recognition and alerts for volume and price anomalies.
• Enhanced visualization for historical data trends.
With this tool, traders can combine money flow analysis with the 60-70% retracement strategy, turning it into a powerful assistant for navigating the fast-paced world of meme coins and DEX tokens.
This script is designed to provide meaningful insights and practical utility for traders, adhering to TradingView’s standards for originality, clarity, and user value.
Enhanced SPX and BTC Overlay with EMASPX-BTC Momentum Gauge and EMA Cross Indicator
Thorough Analysis:
• Combined Overlay (Green/Red Line):
o Function: Plots a wide line over the price chart, representing a composite of SPX and BTC dynamics adjusted by volume data.
o Color Coding:
Green: Indicates bullish conditions when the combined value exceeds its 10-period SMA and Bitcoin volume increases.
Red: Signals bearish conditions when the combined value drops below its 10-period SMA and Bitcoin volume decreases.
o Line Characteristics:
Width: Set at 8 for high visibility.
Transparency: 86% for both colors to overlay without obscuring candlesticks.
Scaling: Uses a factor of 0.02446 to amplify movements, making trend changes more noticeable.
• Continuous Bright Red and Green Lines:
o 20-period EMA of Current Ticker (Red):
Purpose: Acts as a medium-term trend indicator, smoothing price data to reflect the asset's general direction over time.
Color: Bright red for easy identification.
Transparency: 60% to keep it visible but not overpowering.
o 5-period EMA of BTC (Green):
Purpose: Provides insights into short-term Bitcoin momentum, capturing rapid changes in market sentiment.
Color: Bright green to distinguish from the red EMA.
Transparency: 30% for high visibility against price movements.
Detailed Analysis of the EMA Cross:
• Crossing Points:
o Bullish Crossover:
Occurs when the 5-period BTC EMA (green) moves above the 20-period EMA of the current ticker (red).
Suggests that Bitcoin's short-term momentum is gaining strength relative to the asset's medium-term trend, potentially signaling an upcoming uptrend or strengthening of an existing one.
o Bearish Crossover:
When the green line falls below the red, it indicates that Bitcoin's immediate momentum is weakening compared to the asset's medium-term trend, which might precede a downtrend or confirm one.
• Early Trade Signals:
o Entry/Exit Points:
These crossovers can guide traders in making timely decisions to enter or exit trades, especially when corroborated by the combined overlay's color.
o Confirmation:
EMA crossovers can confirm trends indicated by the combined overlay. For example, a bullish crossover with a green combined line could validate a buying opportunity.
o Volatility Insights:
The rapid shifts in Bitcoin's 5-period EMA highlight potential volatility spikes, offering an additional layer of market analysis, particularly useful in volatile markets.
• Strategic Use:
o Multi-Market Insight: The script integrates data from both traditional (SPX) and crypto (BTC) markets, allowing for a more comprehensive analysis of market conditions.
o Decision-Making: Provides traders with visual cues for market sentiment, trend direction, and potential reversals, enhancing strategic trading decisions.
o Trend Confirmation: The combination of EMA crossovers and the overlay's color changes offers a multi-faceted approach to trend confirmation or divergence.
In Summary:
• This script merges elements of traditional stock market analysis with cryptocurrency dynamics, utilizing color changes, line thickness, and EMA crossovers to visually communicate market conditions, offering traders a robust tool for analyzing and acting on market movements.
Lead-Lag Market Detector [CryptoSea]The Lead-Lag Market Detector is an advanced tool designed to help traders identify leading and lagging assets within a chosen market. This indicator leverages correlation analysis to rank assets based on their influence, making it ideal for traders seeking to optimise their portfolio or spot key market trends.
Key Features
Dynamic Asset Ranking: Utilises real-time correlation calculations to rank assets by their influence on the market, helping traders identify market leaders and laggers.
Customisable Parameters: Includes adjustable lookback periods and correlation thresholds to adapt the analysis to different market conditions and trading styles.
Comprehensive Asset Coverage: Supports up to 30 assets, offering broad market insights across cryptocurrencies, stocks, or other markets.
Gradient-Enhanced Table Display: Presents results in a colour-coded table, where assets are ranked dynamically with influence scores, aiding in quick visual analysis.
In the example below, the ranking highlights how assets tend to move in groups. For instance, BTCUSDT, ETHUSDT, BNBUSDT, SOLUSDT, and LTCUSDT are highly correlated and moving together as a group. Similarly, another group of correlated assets includes XRPUSDT, FILUSDT, APEUSDT, XTZUSDT, THETAUSDT, and CAKEUSDT. This grouping of assets provides valuable insights for traders to diversify or spread exposure.
If you believe one asset in a group is likely to perform well, you can spread your exposure into other correlated assets within the same group to capitalise on their collective movement. Additionally, assets like AVAXUSDT and ZECUSDT, which appear less correlated or uncorrelated with the rest, may offer opportunities to act as potential hedges in your trading strategy.
How it Works
Correlation-Based Scoring: Calculates pairwise correlations between assets over a user-defined lookback period, identifying assets with high influence scores as market leaders.
Customisable Thresholds: Allows traders to define a correlation threshold, ensuring the analysis focuses only on significant relationships between assets.
Dynamic Score Calculation: Scores are updated dynamically based on the timeframe and input settings, providing real-time insights into market behaviour.
Colour-Enhanced Results: The table display uses gradients to visually distinguish between leading and lagging assets, simplifying data interpretation.
Application
Portfolio Optimisation: Identifies influential assets to help traders allocate their portfolio effectively and reduce exposure to lagging assets.
Market Trend Identification: Highlights leading assets that may signal broader market trends, aiding in strategic decision-making.
Customised Trading Strategies: Adapts to various trading styles through extensive input settings, ensuring the analysis meets the specific needs of each trader.
The Lead-Lag Market Detector by is an essential tool for traders aiming to uncover market leaders and laggers, navigate complex market dynamics, and optimise their trading strategies with precision and insight.
