Auf geht's

S&P 500 (SPX500)

Volatility Index Percentile Risk STOCK StrategyVolatility-Index Percentile Risk STOCK Strategy ────────────────────────────────────────────── PURPOSE • Go long equities only when implied volatility (from any VIX-style index) is in its quietest percentile band. • Scale stop-loss distance automatically with live volatility so risk stays proportional across timeframes and market regimes. HOW IT WORKS 1. Pull the closing price of a user-selected volatility index (default: CBOE VIX, Nasdaq VXN, etc.). 2. Compute its 1-year (252-bar) percentile. – If percentile < “Enter” threshold → open / maintain long. – If percentile > “Exit” threshold → flatten. 3. Set the stop-loss every bar at: SL % = (current VIX value) ÷ Risk Divisor (e.g., VIX = 20 and divisor = 57 → 0.35 % SL below entry). This keeps risk tighter when volatility is high and looser when it’s calm. USER INPUTS • VIX-style Index   — symbol of any volatility index • Look-back     — length for percentile (default 252) • Enter Long < Percentile — calm-market trigger (default 15 %) • Exit Long > Percentile — fear trigger (default 60 %) • Risk Divisor (SL)  — higher number = tighter stop; start with 57 on 30-min charts • Show Debug Plots — optional visibility of percentile & SL% RECOMMENDED BACK-TEST SETTINGS • Timeframe: 30 min – Daily on liquid stocks/ETFs highly correlated to the chosen VIX. • Initial capital: 100 000 | Order size: 10 % of equity • Commission: 0.03 %   | Slippage: 5 ticks • Enable *Bar Magnifier* and *Fill on bar close* for realistic execution. ADDITIONAL INFORMATION • **Self-calibrating risk** – no static ATR or fixed %, adapts instantly to changing volatility. • **Percentile filter** – regime-aware entry logic that avoids false calm periods signalled by raw VIX levels. • **Timeframe-agnostic** – works from intraday to weekly; √T-style divisor lets you fine-tune stops quickly ,together with the percentiles and days length. • Zero look-ahead. CAVEATS • Long-only; no built-in profit target. Add one if your plan requires fixed R:R exits. • Works best on indices/stocks that move with the selected vol index. • Back-test results are educational; past performance never guarantees future returns. LICENSE & CREDITS Released under the Mozilla Public License 2.0. Inspired by academic research on volatility risk premia and mean-reversion. DISCLAIMER This script is for informational and educational purposes only. It is **not** financial advice. Use at your own risk.
Pine Script® Strategie
von exlux
SHYY TFC SPX Sectors list This script provides a clean, configurable table displaying real-time data for the major SPX sectors, key indices, and market sentiment indicators such as VIX and the 10-year yield (US10Y). It includes 16 columns with two rows: * The top row shows the sector/asset symbol. * The bottom row shows the most recent daily close price. Each price cell is dynamically color-coded based on: * Direction (green/red) during regular trading hours * Separate colors during extended hours (pre-market or post-market) * VIX values greater than 30 trigger a distinct background highlight Users can fully control the position of the table on the chart via input settings. This flexibility allows traders to place the table in any screen corner or center without overlapping key price action. The script is designed for: * Monitoring broad market health at a glance * Understanding sector performance in real-time * Spotting risk-on/risk-off behavior (via SPY, QQQ, VIX, US10Y) Unlike traditional watchlists, this table visually encodes directional movement and trading session context (regular vs. extended hours), making it highly actionable for intraday, swing, or macro-level analysis. All data is pulled using `request.security()` on daily candles and uses pure Pine logic without external dependencies. To use: 1. Add the indicator to your chart. 2. Adjust the table position via the input dropdown. 3. Read sector strength or weakness directly from the table.
Pine Script® Indikator
von shayy110
SPX Weekly Expected Moves# SPX Weekly Expected Moves Indicator A professional Pine Script indicator for TradingView that displays weekly expected move levels for SPX based on real options data, with integrated Fibonacci retracement analysis and intelligent alerting system. ## Overview This indicator helps options and equity traders visualize weekly expected move ranges for the S&P 500 Index (SPX) by plotting historical and current week expected move boundaries derived from weekly options pricing. Unlike theoretical volatility calculations, this indicator uses actual market-based expected move data that you provide from options platforms. ## Key Features ### 📈 **Expected Move Visualization** - **Historical Lines**: Display past weeks' expected moves with configurable history (10, 26, or 52 weeks) - **Current Week Focus**: Highlighted current week with extended lines to present time - **Friday Close Reference**: Orange baseline showing the previous Friday's close price - **Timeframe Independent**: Works consistently across all chart timeframes (1m to 1D) ### 🎯 **Fibonacci Integration** - **Five Fibonacci Levels**: 23.6%, 38.2%, 50%, 61.8%, 76.4% between Friday close and expected move boundaries - **Color-Coded Levels**: - Red: 23.6% & 76.4% (outer levels) - Blue: 38.2% & 61.8% (golden ratio levels) - Black: 50% (midpoint - most critical level) - **Current Week Only**: Fibonacci levels shown only for active trading week to reduce clutter ### 📊 **Real-Time Information Table** - **Current SPX Price**: Live market price - **Expected Move**: ±EM value for current week - **Previous Close**: Friday close price (baseline for calculations) - **100% EM Levels**: Exact upper and lower boundary prices - **Current Location**: Real-time position within the EM structure (e.g., "Above 38.2% Fib (upper zone)") ### 🚨 **Intelligent Alert System** - **Zone-Aware Alerts**: Separate alerts for upper and lower zones - **Key Level Breaches**: Alerts for 23.6% and 76.4% Fibonacci level crossings - **Bar Close Based**: Alerts trigger on confirmed bar closes, not tick-by-tick - **Customizable**: Enable/disable alerts through settings ## How It Works ### Data Input Method The indicator uses a **manual data entry approach** where you input actual expected move values obtained from options platforms: ```pinescript // Add entries using the options expiration Friday date map.put(expected_moves, 20250613, 91.244) // Week ending June 13, 2025 map.put(expected_moves, 20250620, 95.150) // Week ending June 20, 2025 ``` ### Weekly Structure - **Monday 9:30 AM ET**: Week begins - **Friday 4:00 PM ET**: Week ends - **Lines Extend**: From Monday open to Friday close (historical) or current time + 5 bars (current week) - **Timezone Handling**: Uses "America/New_York" for proper DST handling ### Calculation Logic 1. **Base Price**: Previous Friday's SPX close price 2. **Expected Move**: Market-derived ±EM value from weekly options 3. **Upper Boundary**: Friday Close + Expected Move 4. **Lower Boundary**: Friday Close - Expected Move 5. **Fibonacci Levels**: Proportional levels between Friday close and EM boundaries ## Setup Instructions ### 1. Data Collection Obtain weekly expected move values from options platforms such as: - **ThinkOrSwim**: Use thinkBack feature to look up weekly expected moves - **Tastyworks**: Check weekly options expected move data - **CBOE**: Reference SPX weekly options data - **Manual Calculation**: (ATM Call Premium + ATM Put Premium) × 0.85 ### 2. Data Entry After each Friday close, update the indicator with the next week's expected move: ```pinescript // Example: On Friday June 7, 2025, add data for week ending June 13 map.put(expected_moves, 20250613, 91.244) // Actual EM value from your platform ``` ### 3. Configuration Customize the indicator through the settings panel: #### Visual Settings - **Show Current Week EM**: Toggle current week display - **Show Past Weeks**: Toggle historical weeks display - **Max Weeks History**: Choose 10, 26, or 52 weeks of history - **Show Fibonacci Levels**: Toggle Fibonacci retracement levels - **Label Controls**: Customize which labels to display #### Colors - **Current Week EM**: Default yellow for active week - **Past Weeks EM**: Default gray for historical weeks - **Friday Close**: Default orange for baseline - **Fibonacci Levels**: Customizable colors for each level type #### Alerts - **Enable EM Breach Alerts**: Master toggle for all alerts - **Specific Alerts**: Four alert types for Fibonacci level breaches ## Trading Applications ### Options Trading - **Straddle/Strangle Positioning**: Visualize breakeven levels for neutral strategies - **Directional Plays**: Assess probability of reaching target levels - **Earnings Plays**: Compare actual vs. expected move outcomes ### Equity Trading - **Support/Resistance**: Use EM boundaries and Fibonacci levels as key levels - **Breakout Trading**: Monitor for moves beyond expected ranges - **Mean Reversion**: Look for reversals at extreme Fibonacci levels ### Risk Management - **Position Sizing**: Gauge likely price ranges for the week - **Stop Placement**: Use Fibonacci levels for logical stop locations - **Profit Targets**: Set targets based on EM structure probabilities ## Technical Implementation ### Performance Features - **Memory Managed**: Configurable history limits prevent memory issues - **Timeframe Independent**: Uses timestamp-based calculations for consistency - **Object Management**: Automatic cleanup of drawing objects prevents duplicates - **Error Handling**: Robust bounds checking and NA value handling ### Pine Script Best Practices - **v6 Compliance**: Uses latest Pine Script version features - **User Defined Types**: Structured data management with WeeklyEM type - **Efficient Drawing**: Smart line/label creation and deletion - **Professional Standards**: Clean code organization and comprehensive documentation ## Customization Guide ### Adding New Weeks ```pinescript // Add after market close each Friday map.put(expected_moves, YYYYMMDD, EM_VALUE) ``` ### Color Schemes Customize colors for different trading styles: - **Dark Theme**: Use bright colors for visibility - **Light Theme**: Use contrasting dark colors - **Minimalist**: Use single color with transparency ### Label Management Control label density: - **Show Current Week Labels Only**: Reduce clutter for active trading - **Show All Labels**: Full information for analysis - **Selective Display**: Choose specific label types ## Troubleshooting ### Common Issues 1. **No Lines Appearing**: Check that expected move data is entered for current/recent weeks 2. **Wrong Time Display**: Ensure "America/New_York" timezone is properly handled 3. **Duplicate Lines**: Restart indicator if drawing objects appear duplicated 4. **Missing Fibonacci Levels**: Verify "Show Fibonacci Levels" is enabled ### Data Validation - **Expected Move Format**: Use positive numbers (e.g., 91.244, not ±91.244) - **Date Format**: Use YYYYMMDD format (e.g., 20250613) - **Reasonable Values**: Verify EM values are realistic (typically 50-200 for SPX) ## Version History ### Current Version - **Pine Script v6**: Latest version compatibility - **Fibonacci Integration**: Five-level retracement analysis - **Zone-Aware Alerts**: Upper/lower zone differentiation - **Dynamic Line Management**: Smart current week extension - **Professional UI**: Comprehensive information table ### Future Enhancements - **Multiple Symbols**: Extend beyond SPX to other indices - **Automated Data**: Integration with options data APIs - **Statistical Analysis**: Success rate tracking for EM predictions - **Additional Levels**: Custom percentage levels beyond Fibonacci ## License & Usage This indicator is designed for educational and trading purposes. Users are responsible for: - **Data Accuracy**: Ensuring correct expected move values - **Risk Management**: Proper position sizing and risk controls - **Market Understanding**: Comprehending options-based expected move concepts ## Support For questions, issues, or feature requests related to this indicator, please refer to the code comments and documentation within the Pine Script file. --- **Disclaimer**: This indicator is for informational purposes only. Trading involves substantial risk of loss and is not suitable for all investors. Past performance does not guarantee future results.
Pine Script® Indikator
von MovingIndex
2
QQQ Strategy v2 ESL | easy-peasy-x This is a strategy optimized for QQQ (and SPY) for the 1H timeframe. It significantly outperforms passive buy-and-hold approach. With settings adjustments, it can be used on various assets like stocks and cryptos and various timeframes, although the default out of the box settings favor QQQ 1H. The strategy uses various triggers to take both long and short trades. These can be adjusted in settings. If you try a different asset, see what combination of triggers works best for you. Some of the triggers employ LuxAlgo's Ultimate RSI - shoutout to him for great script, check it out here . Other triggers are based on custom signed standard deviation - basically the idea is to trade Bollinger Bands expansions (long to the upside, short to the downside) and fade or stay out of contractions. There are three key moving averages in the strategy - LONG MA, SHORT MA, BASIC MA. Long and Short MAs are guides to eyes on the chart and also act as possible trend filters (adjustable in settings). Basic MA acts as guide to eye and a possible trade trigger (adjustable in settings). There are a few trend filters the strategy can use - moving average, signed standard deviation, ultimate RSI or none. The filters act as an additional condition on triggers, making the strategy take trades only if both triggers and trend filter allows. That way one can filter out trades with unfavorable risk/reward (for instance, don't long if price is under the MA200). Different trade filters can be used for long and short trades. The strategy employs various stop loss types, the default of which is a trailing %-based stop loss type. ATR-based stop loss is also available. The default 1.5% trailing stop loss is suitable for leveraged trading. Lastly, the strategy can trigger take profit orders if certain conditions are met, adjustable in settings. Also, it can hold onto winning trades and exit only after stop out (in which case, consecutive triggers to take other positions will be ignored until stop out). Let me know if you like it and if you use it, what kind of tweaks would you like to see. With kind regards, easy-peasy-x
Pine Script® Strategie
von easy-peasy-x
Sector 50MA vs 200MA ComparisonThis TradingView indicator compares the 50-period Moving Average (50MA) and 200-period Moving Average (200MA) of a selected market sector or index, providing a visual and analytical tool to assess relative strength and trend direction. Here's a detailed breakdown of its functionality: Purpose: The indicator plots the 50MA and 200MA of a chosen sector or index on a separate panel, highlighting their relationship to identify bullish (50MA > 200MA) or bearish (50MA < 200MA) trends. It also includes a histogram and threshold lines to gauge momentum and key levels. Inputs: Resolution: Allows users to select the timeframe for calculations (Daily, Weekly, or Monthly; default is Daily). Sector Selection: Users can choose from a list of sectors or indices, including Tech, Financials, Consumer Discretionary, Utilities, Energy, Communication Services, Materials, Industrials, Health Care, Consumer Staples, Real Estate, S&P 500 Value, S&P 500 Growth, S&P 500, NASDAQ, Russell 2000, and S&P SmallCap 600. Each sector maps to specific ticker pairs for 50MA and 200MA data. Data Retrieval: The indicator fetches closing prices for the 50MA and 200MA of the selected sector using the request.security function, based on the chosen timeframe and ticker pairs. Visual Elements: Main Chart: Plots the 50MA (blue line) and 200MA (red line) for the selected sector. Fills the area between the 50MA and 200MA with green (when 50MA > 200MA, indicating bullishness) or red (when 50MA < 200MA, indicating bearishness). Threshold Lines: Horizontal lines at 0 (zero line), 20 (lower threshold), 50 (center), 80 (upper threshold), and 100 (upper limit) provide reference points for the 50MA's position. Fills between 0-20 (green) and 80-100 (red) highlight key zones for potential overbought or oversold conditions. Sector Information Table: A table in the top-right corner displays the selected sector and its corresponding 50MA and 200MA ticker symbols for clarity. Alerts: Generates alert conditions for: Bullish Crossover: When the 50MA crosses above the 200MA (indicating potential upward momentum). Bearish Crossover: When the 50MA crosses below the 200MA (indicating potential downward momentum). Use Case: Traders can use this indicator to monitor the relative strength of a sector's short-term trend (50MA) against its long-term trend (200MA). The visual fill between the moving averages and the threshold lines helps identify trend direction, momentum, and potential reversal points. The sector selection feature allows for comparative analysis across different market segments, aiding in sector rotation strategies or market trend analysis. This indicator is ideal for traders seeking to analyze sector performance, identify trend shifts, and make informed decisions based on moving average crossovers and momentum thresholds.
Pine Script® Indikator
von chuckaschultz
IBS (Internal Bar Strength) Trading Strategy for SPY and NDQImplementation by AlgoTradeKit Overview The IBS Trading Strategy is a daily bars long-only trading system, based on the concept of Internal Bar Strength (IBS). The strategy aims to identify potential reversals by monitoring how the previous bar’s close positions itself within its high-low range. It is suitable for stock and US indices. The default parameters are optimized for SPY/SPX and NDQ/QQQ Strategy Concept The Internal Bar Strength (IBS) is calculated using the formula: IBS = (Previous Close - Previous Low) / (Previous High - Previous Low) This value always lies between 0 and 1. An IBS value below 0.2 is typically interpreted as an oversold condition, while a value above 0.9 suggests an overbought state. Trading Rules - Long Entry : - Condition 1 : IBS is below the user-defined entry threshold (default is 0.2). - Condition 2 : The current price is above an N-period Exponential Moving Average (EMA) (default period is 252). - Note : You can disable the EMA condition by setting the EMA period to 0. - Long Exit - The position is closed when IBS rises above the user-defined exit threshold (default is 0.9). Customization Options - IBS Entry Threshold : Adjust to set the sensitivity for entering a long trade based on oversold conditions. - IBS Exit Threshold : Customize to define the exit point when the market becomes overbought. - EMA Period : Set the lookback period for the EMA to align with your trend bias; disable this condition by setting the period to 0. Risk Management & Trading Considerations - Designed for daily charts, the strategy captures higher timeframe trends and minimizes noise. - The entry and exit conditions are straightforward, aiming to avoid over-trading while letting clear signals dictate trade management. - Always use proper risk management techniques and test the strategy thoroughly on historical data and in a simulated environment before applying it in live markets. Disclaimer This strategy is for educational and informational purposes only and does not constitute financial advice. Trading involves risk, and past performance is not indicative of future results. Always conduct your own research and consider your risk tolerance before making any trades.
Pine Script® Strategie
von Algotradekit
3
2xSPYTIPS Strategy by Fra public versionThis is a test strategy with S&P500, open source so everyone can suggest everything, I'm open to any advice. Rules of the "2xSPYTIPS" Strategy : This trading strategy is designed to operate on the S&P 500 index and the TIPS ETF. Here’s how it works: 1. Buy Conditions ("BUY"): - The S&P 500 must be above its **200-day simple moving average (SMA 200)**. - This condition is checked at the **end of each month**. 2. Position Management: - If leverage is enabled (**2x leverage**), the purchase quantity is increased based on a configurable percentage. 3. Take Profit: - A **Take Profit** is set at a fixed percentage above the entry price. 4. Visualization & Alerts: - The **SMA 200** for both S&P 500 and TIPS is plotted on the chart. - A **BUY signal** appears visually and an alert is triggered. What This Strategy Does NOT Do - It does not use a **Stop Loss** or **Trailing Stop**. - It does not directly manage position exits except through Take Profit.
Pine Script® Strategie
von Francesco_TaCat
1
S&P 500 Sector StrengthsThe "S&P 500 Sector Strengths" indicator is a sophisticated tool designed to provide traders and investors with a comprehensive view of the relative performance of various sectors within the S&P 500 index. This indicator utilizes the True Strength Index (TSI) to measure and compare the strength of different sectors, offering valuable insights into market trends and sector rotations. At its core, the indicator calculates the TSI for each sector using price data obtained through the request.security() function. The TSI, a momentum oscillator, is computed using a user-defined smoothing period, allowing for customization based on individual preferences and trading styles. The resulting TSI values for each sector are then plotted on the chart, creating a visual representation of sector strengths. To use this indicator effectively, traders should focus on comparing the movements of different sector lines. Sectors with lines moving higher are showing increasing strength, while those with descending lines are exhibiting weakness. This comparative analysis can help identify potential investment opportunities and sector rotations. Additionally, when multiple sector lines move in tandem, it may signal a broader market trend. The indicator includes dashed lines at 0.5 and -0.5, serving as reference points for overbought and oversold conditions. Sectors with TSI values above 0.5 might be considered overbought, suggesting caution, while those below -0.5 could be viewed as oversold, potentially indicating buying opportunities. One of the key advantages of this indicator is its flexibility. Users can toggle the visibility of individual sectors and customize their colors, allowing for a tailored analysis experience. This feature is particularly useful when focusing on specific sectors or reducing chart clutter for clearer visualization. The indicator's ability to provide a comprehensive overview of all major S&P 500 sectors in a single chart is a significant benefit. This consolidated view enables quick comparisons and helps in identifying relative strengths and weaknesses across sectors. Such insights can be invaluable for portfolio allocation decisions and in spotting emerging market trends. Moreover, the dynamic legend feature enhances the indicator's usability. It automatically updates to display only the visible sectors, improving chart readability and interpretation. By leveraging this indicator, market participants can gain a deeper understanding of sector dynamics within the S&P 500. This enhanced perspective can lead to more informed decision-making in sector allocation strategies and individual stock selection. The indicator's ability to potentially detect early trends by comparing sector strengths adds another layer of value, allowing users to position themselves ahead of broader market movements. In conclusion, the "S&P 500 Sector Strengths" indicator is a powerful tool that combines technical analysis with sector comparison. Its user-friendly interface, customizable features, and comprehensive sector coverage make it an valuable asset for traders and investors seeking to navigate the complexities of the S&P 500 market with greater confidence and insight.
Pine Script® Indikator
von Julien_Eche
Simple RSI stock Strategy [1D] The "Simple RSI Stock Strategy " is designed to long-term traders. Strategy uses a daily time frame to capitalize on signals generated by the Relative Strength Index (RSI) and the Simple Moving Average (SMA). This strategy is suitable for low-leverage trading environments and focuses on identifying potential buy opportunities when the market is oversold, while incorporating strong risk management with both dynamic and static Stop Loss mechanisms. This strategy is recommended for use with a relatively small amount of capital and is best applied by diversifying across multiple stocks in a strong uptrend, particularly in the S&P 500 stock market. It is specifically designed for equities, and may not perform well in other markets such as commodities, forex, or cryptocurrencies, where different market dynamics and volatility patterns apply. Indicators Used in the Strategy: 1. RSI (Relative Strength Index): - The RSI is a momentum oscillator used to identify overbought and oversold conditions in the market. - This strategy enters long positions when the RSI drops below the oversold level (default: 30), indicating a potential buying opportunity. - It focuses on oversold conditions but uses a filter (SMA 200) to ensure trades are only made in the context of an overall uptrend. 2. SMA 200 (Simple Moving Average): - The 200-period SMA serves as a trend filter, ensuring that trades are only executed when the price is above the SMA, signaling a bullish market. - This filter helps to avoid entering trades in a downtrend, thereby reducing the risk of holding positions in a declining market. 3. ATR (Average True Range): - The ATR is used to measure market volatility and is instrumental in setting the Stop Loss. - By multiplying the ATR value by a custom multiplier (default: 1.5), the strategy dynamically adjusts the Stop Loss level based on market volatility, allowing for flexibility in risk management. How the Strategy Works: Entry Signals: The strategy opens long positions when RSI indicates that the market is oversold (below 30), and the price is above the 200-period SMA. This ensures that the strategy buys into potential market bottoms within the context of a long-term uptrend. Take Profit Levels: The strategy defines three distinct Take Profit (TP) levels: TP 1: A 5% from the entry price. TP 2: A 10% from the entry price. TP 3: A 15% from the entry price. As each TP level is reached, the strategy closes portions of the position to secure profits: 33% of the position is closed at TP 1, 66% at TP 2, and 100% at TP 3. Visualizing Target Points: The strategy provides visual feedback by plotting plotshapes at each Take Profit level (TP 1, TP 2, TP 3). This allows traders to easily see the target profit levels on the chart, making it easier to monitor and manage positions as they approach key profit-taking areas. Stop Loss Mechanism: The strategy uses a dual Stop Loss system to effectively manage risk: ATR Trailing Stop: This dynamic Stop Loss adjusts based on the ATR value and trails the price as the position moves in the trader’s favor. If a price reversal occurs and the market begins to trend downward, the trailing stop closes the position, locking in gains or minimizing losses. Basic Stop Loss: Additionally, a fixed Stop Loss is set at 25%, limiting potential losses. This basic Stop Loss serves as a safeguard, automatically closing the position if the price drops 25% from the entry point. This higher Stop Loss is designed specifically for low-leverage trading, allowing more room for market fluctuations without prematurely closing positions. to determine the level of stop loss and target point I used a piece of code by RafaelZioni, here is the script from which a piece of code was taken Together, these mechanisms ensure that the strategy dynamically manages risk while offering robust protection against significant losses in case of sharp market downturns. The position size has been estimated by me at 75% of the total capital. For optimal capital allocation, a recommended value based on the Kelly Criterion, which is calculated to be 59.13% of the total capital per trade, can also be considered. Enjoy !
Pine Script® Strategie
von wielkieef
2
Unlock the Power of Seasonality: Monthly Performance StrategyThe Monthly Performance Strategy leverages the power of seasonality—those cyclical patterns that emerge in financial markets at specific times of the year. From tax deadlines to industry-specific events and global holidays, historical data shows that certain months can offer strong opportunities for trading. This strategy was designed to help traders capture those opportunities and take advantage of recurring market patterns through an automated and highly customizable approach. The Inspiration Behind the Strategy: This strategy began with the idea that market performance is often influenced by seasonal factors. Historically, certain months outperform others due to a variety of reasons, like earnings reports, holiday shopping, or fiscal year-end events. By identifying these periods, traders can better time their market entries and exits, giving them an advantage over those who solely rely on technical indicators or news events. The Monthly Performance Strategy was built to take this concept and automate it. Instead of manually analyzing market data for each month, this strategy enables you to select which months you want to focus on and then executes trades based on predefined rules, saving you time and optimizing the performance of your trades. Key Features: Customizable Month Selection: The strategy allows traders to choose specific months to test or trade on. You can select any combination of months—for example, January, July, and December—to focus on based on historical trends. Whether you’re targeting the historically strong months like December (often driven by the 'Santa Rally') or analyzing quieter months for low volatility trades, this strategy gives you full control. Automated Monthly Entries and Exits: The strategy automatically enters a long position on the first day of your selected month(s) and exits the trade at the beginning of the next month. This makes it perfect for traders who want to benefit from seasonal patterns without manually monitoring the market. It ensures precision in entering and exiting trades based on pre-set timeframes. Re-entry on Stop Loss or Take Profit: One of the standout features of this strategy is its ability to re-enter a trade if a position hits the stop loss (SL) or take profit (TP) level during the selected month. If your trade reaches either a SL or TP before the month ends, the strategy will automatically re-enter a new trade the next trading day. This feature ensures that you capture multiple trading opportunities within the same month, instead of exiting entirely after a successful or unsuccessful trade. Essentially, it keeps your capital working for you throughout the entire month, not just when conditions align perfectly at the beginning. Built-in Risk Management: Risk management is a vital part of this strategy. It incorporates an Average True Range (ATR)-based stop loss and take profit system. The ATR helps set dynamic levels based on the market’s volatility, ensuring that your stops and targets adjust to changing market conditions. This not only helps limit potential losses but also maximizes profit potential by adapting to market behavior. Historical Performance Testing: You can backtest this strategy on any period by setting the start year. This allows traders to analyze past market data and optimize their strategy based on historical performance. You can fine-tune which months to trade based on years of data, helping you identify trends and patterns that provide the best trading results. Versatility Across Asset Classes: While this strategy can be particularly effective for stock market indices and sector rotation, it’s versatile enough to apply to other asset classes like forex, commodities, and even cryptocurrencies. Each asset class may exhibit different seasonal behaviors, allowing you to explore opportunities across various markets with this strategy. How It Works: The trader selects which months to test or trade, for example, January, April, and October. The strategy will automatically open a long position on the first trading day of each selected month. If the trade hits either the take profit or stop loss within the month, the strategy will close the current position and re-enter a new trade on the next trading day, provided the month has not yet ended. This ensures that the strategy continues to capture any potential gains throughout the month, rather than stopping after one successful trade. At the start of the next month, the position is closed, and if the next month is also selected, a new trade is initiated following the same process. Risk Management and Dynamic Adjustments: Incorporating risk management with this strategy is as easy as turning on the ATR-based system. The strategy will automatically calculate stop loss and take profit levels based on the market’s current volatility, adjusting dynamically to the conditions. This ensures that the risk is controlled while allowing for flexibility in capturing profits during both high and low volatility periods. Maximizing the Seasonal Edge: By automating entries and exits based on specific months and combining that with dynamic risk management, the Ultimate Monthly Performance Strategy takes advantage of seasonal patterns without requiring constant monitoring. The added re-entry feature after hitting a stop loss or take profit ensures that you are always in the game, maximizing your chances to capture profitable trades during favorable seasonal periods. Who Can Benefit from This Strategy? This strategy is perfect for traders who: Want to exploit the predictable, recurring patterns that occur during specific months of the year. Prefer a hands-off, automated trading approach that allows them to focus on other aspects of their portfolio or life. Seek to manage risk effectively with ATR-based stop losses and take profits that adjust to market conditions. Appreciate the ability to re-enter trades when a take profit or stop loss is hit within the month, ensuring that they don't miss out on multiple opportunities during a favorable period. In summary, the Ultimate Monthly Performance Strategy provides traders with a comprehensive tool to capitalize on seasonal trends, optimize their trading opportunities throughout the year, and manage risk effectively. The built-in re-entry system ensures you continue to benefit from the market even after hitting targets within the same month, making it a robust strategy for traders looking to maximize their edge in any market. Risk Disclaimer: Trading financial markets involves significant risk and may not be suitable for all investors. The Monthly Performance Strategy is designed to help traders identify seasonal trends, but past performance does not guarantee future results. It is important to carefully consider your risk tolerance, financial situation, and trading goals before using any strategy. Always use appropriate risk management and consult with a professional financial advisor if necessary. The use of this strategy does not eliminate the risk of losses, and traders should be prepared for the possibility of losing their entire investment. Be sure to test the strategy on a demo account before applying it in live markets.
Pine Script® Strategie
von exlux
2
Money Flow DivergenceThe Money Flow Divergence indicator is designed to help traders identify periods when there is a significant divergence between the growth of the U.S. M2 money supply and the S&P 500 index (SPX). This divergence can provide insights into potential market turning points, making it a valuable tool for long-term investors and traders looking to capitalize on macroeconomic trends. How It Works: Data Sources: S&P 500 Index (SPX) and U.S. M2 Money Supply. Calculating Growth Rates: SPX Growth: The script calculates the percentage growth of the S&P 500 index by comparing the current closing price with the previous period's closing price. M2 Growth: Similarly, it calculates the percentage growth of the U.S. M2 money supply by comparing the current value with the previous period's value. Growth Gap/Delta: Growth Gap: The core of the indicator is the "growth gap" or "delta," which is the difference between the M2 money supply growth and the SPX growth. This gap indicates whether liquidity in the economy (represented by M2) is outpacing or lagging behind the performance of the stock market. Interpretation: Positive Gap (Green Bars): When the M2 growth outpaces SPX growth, the gap is positive, indicating that there is more liquidity in the system than what is being reflected in the stock market. This scenario often signals potential upward momentum in the market, making it a good time to consider buying. Negative Gap (Red Bars): When the SPX growth outpaces M2 growth, the gap is negative, suggesting that the market may be overextended relative to the available liquidity. This can be a warning sign of potential market corrections or downturns. Visualization: The indicator plots the growth gap as a histogram with bars colored based on the gap value: Green Bars: Indicate a positive gap where M2 growth is higher than SPX growth. Red Bars: Indicate a negative gap where SPX growth is higher than M2 growth. The bars are thickened for better visibility, and a horizontal line at zero is plotted to help users easily distinguish between positive and negative gaps. How To Use It: Time Frame Selection: Users can select the desired time frame (e.g., monthly, weekly) for the data. This flexibility allows traders to analyze the indicator over different periods, depending on their investment horizon. Monthly time frames seem to work best. Interpreting the Indicator: Bullish Signals: Look for sustained periods of positive growth gaps (green bars), which may indicate a favorable environment for buying or holding long positions. Bearish Signals: Be cautious during periods of negative growth gaps (red bars), which could signal overvaluation in the market or potential pullbacks. Enjoy and let me know if you have any questions.
Pine Script® Indikator
von HenriqueCentieiro
25
SP500 RatiosThe "SP500 Ratios" indicator is a powerful tool developed for the TradingView platform, allowing users to access a variety of financial ratios and inflation-adjusted data related to the S&P 500 index. This indicator integrates with Nasdaq Data Link (formerly known as Quandl) to retrieve historical data, providing a comprehensive overview of key financial metrics associated with the S&P 500. Key Features Price to Sales Ratio: Quarterly ratio of price to sales (revenue) for the S&P 500. Dividend Yield: Monthly dividend yield based on 12-month dividend per share. Price Earnings Ratio (PE Ratio): Monthly price-to-earnings ratio based on trailing twelve-month reported earnings. CAPE Ratio (Shiller PE Ratio): Monthly cyclically adjusted PE ratio, based on average inflation-adjusted earnings over the past ten years. Earnings Yield: Monthly earnings yield, the inverse of the PE ratio. Price to Book Ratio: Quarterly ratio of price to book value. Inflation Adjusted S&P 500: Monthly S&P 500 level adjusted for inflation. Revenue Per Share: Quarterly trailing twelve-month sales per share, not adjusted for inflation. Earnings Per Share: Monthly real earnings per share, adjusted for inflation. User Configuration The indicator offers flexibility through user-configurable options. You can choose to display or hide each metric according to your analysis needs. Users can also adjust the line width for better visibility on the chart. Visualization The selected data is plotted on the chart with distinct colors for each metric, facilitating visual analysis. A dynamic legend table is also generated in the top-right corner of the chart, listing the currently displayed metrics with their associated colors. This indicator is ideal for traders and analysts seeking detailed insights into the financial performance and valuations of the S&P 500, while benefiting from the customization flexibility offered by TradingView.
Pine Script® Indikator
von Julien_Eche
5
Market Inner Strength IndexThe "Market Inner Strength Index" is an indicator designed to visually represent the market strength by analyzing the six major sectors: XLK, XLV, XLF, XLY, XLC and XLI. These sectors represent more than 80% of the SPX index, making their performance crucial for understanding overall market conditions. The indicator calculates the individual strengths of these sectors and combines them to provide an overall market strength index, helping to identify scenarios of sector rotation, euphoria, or panic. Rationale: The six major sectors (XLK, XLV, XLF, XLY, XLC, XLI) are essential as they encompass a significant portion of the SPX index. Typically, money rotates among these sectors, meaning some sectors grow while others decline. Rare occasions where all sectors move in the same direction can indicate market-wide euphoria (upwards) or panic (downwards). The Market Inner Strength Index helps track sector performance and identify these scenarios. Methodology: Script requests current timeframe data for each of the sectors and assigns scores, based on its performance. It will work best on the daily and higher timeframes but can also be used on the lower timeframes. Score assignment: If the sector is green (positive performance) for the given timeframe, it receives positive points. If the sector is red (negative performance), it receives negative points. If the current close price is above the previous period high, additional positive points are assigned. If the current close price is below the previous period low, additional negative points are assigned. The scores for the six sectors are averaged to compute a total score, which is plotted on the chart. A table displays the performance of each sector, color-coded based on their scores for the last period. Parameters: Neutral Zone : Define the neutral zone threshold. Heikin Ashi : Option to use Heikin Ashi candles instead of normal ones. Show Divergency : Option to show divergences on the chart. Divergence occurs when the SPY is bullish, but the sector score is bearish, or vice versa. This option will only work on SPY chart. Sector selections : Enable/disable specific sectors in score calculation.
Pine Script® Indikator
von hermes_trisme
2
Dickey-Fuller Test for Mean Reversion and Stationarity **IF YOU NEED EXTRA SPECIAL HELP UNDERSTANDING THIS INDICATOR, GO TO THE BOTTOM OF THE DESCRIPTION FOR AN EVEN SIMPLER DESCRIPTION** Dickey Fuller Test: The Dickey-Fuller test is a statistical test used to determine whether a time series is stationary or has a unit root (a characteristic of a time series that makes it non-stationary), indicating that it is non-stationary. Stationarity means that the statistical properties of a time series, such as mean and variance, are constant over time. The test checks to see if the time series is mean-reverting or not. Many traders falsely assume that raw stock prices are mean-reverting when they are not, as evidenced by many different types of statistical models that show how stock prices are almost always positively autocorrelated or statistical tests like this one, which show that stock prices are not stationary. Note: This indicator uses past results, and the results will always be changing as new data comes in. Just because it's stationary during a rare occurrence doesn't mean it will always be stationary. Especially in price, where this would be a rare occurrence on this test. (The Test Statistic is below the critical value.) The indicator also shows the option to either choose Raw Price, Simple Returns, or Log Returns for the test. Raw Prices: Stock prices are usually non-stationary because they follow some type of random walk, exhibiting positive autocorrelation and trends in the long term. The Dickey-Fuller test on raw prices will indicate non-stationary most of the time since prices are expected to have a unit root. (If the test statistic is higher than the critical value, it suggests the presence of a unit root, confirming non-stationarity.) Simple Returns and Log Returns: Simple and log returns are more stationary than prices, if not completely stationary, because they measure relative changes rather than absolute levels. This test on simple and log returns may indicate stationary behavior, especially over longer periods. (The test statistic being below the critical value suggests the absence of a unit root, indicating stationarity.) Null Hypothesis (H0): The time series has a unit root (it is non-stationary). Alternative Hypothesis (H1): The time series does not have a unit root (it is stationary) Interpretation: If the test statistic is less than the critical value, we reject the null hypothesis and conclude that the time series is stationary. Types of Dickey-Fuller Tests: 1. (What this indicator uses) Standard Dickey-Fuller Test: Tests the null hypothesis that a unit root is present in a simple autoregressive model. This test is used for simple cases where we just want to check if the series has a consistent statistical property over time without considering any trends or additional complexities. It examines the relationship between the current value of the series and its previous value to see if the series tends to drift over time or revert to the mean. 2. Augmented Dickey-Fuller (ADF) Test: Tests for a unit root while accounting for more complex structures like trends and higher-order correlations in the data. This test is more robust and is used when the time series has trends or other patterns that need to be considered. It extends the regular test by including additional terms to account for the complexities, and this test may be more reliable than the regular Dickey-Fuller Test. For things like stock prices, the ADF would be more appropriate because stock prices are almost always trending and positively autocorrelated, while the Dickey-Fuller Test is more appropriate for more simple time series. Critical Values This indicator uses the following critical values that are essential for interpreting the Dickey-Fuller test results. The critical values depend on the chosen significance levels: 1% Significance Level: Critical value of -3.43. 5% Significance Level: Critical value of -2.86. 10% Significance Level: Critical value of -2.57. These critical values are thresholds that help determine whether to reject the null hypothesis of a unit root (non-stationarity). If the test statistic is less than (or more negative than) the critical value, it indicates that the time series is stationary. Conversely, if the test statistic is greater than the critical value, the series is considered non-stationary. This indicator uses a dotted blue line by default to show the critical value. If the test-static, which is the gray column, goes below the critical value, then the test-static will become yellow, and the test will indicate that the time series is stationary or mean reverting for the current period of time. What does this mean? This is the weekly chart of BTCUSD with the Dickey-Fuller Test, with a length of 100 and a critical value of 1%. So basically, in the long term, mean-reversion strategies that involve raw prices are not a good idea. You don't really need a statistical test either for this; just from seeing the chart itself, you can see that prices in the long term are trending and no mean reversion is present. For the people who can't understand that the gray column being above the blue dotted line means price doesn't mean revert, here is a more simple description (you know you are): Average (I have to include the meaning because they may not know what average is): The middle number is when you add up all the numbers and then divide by how many numbers there are. EX: If you have the numbers 2, 4, and 6, you add them up to get 12, and then divide by 3 (because there are 3 numbers), so the average is 4. It tells you what a typical number is in a group of numbers. This indicator checks if a time series (like stock prices) tends to return to its average value or time. Raw prices, which is just the regular price chart, are usually not mean-reverting (It's "always" positively autocorrelating but this group of people doesn't like that word). Price follows trends. Simple returns and log returns are more likely to have periods of mean reversion. How to use it: Gray Column (the gray bars) Above the Blue Dotted Line: The price does not mean revert (non-stationary). Gray Column Below Blue Line: The time series mean reverts (stationary) So, if the test statistic (gray column) is below the critical value, which is the blue dotted line, then the series is stationary and mean reverting, but if it is above the blue dotted line, then the time series is not stationary or mean reverting, and strategies involving mean reversion will most likely result in a loss given enough occurrences.
Pine Script® Indikator
von Traders_Endeavors
2
Chande Kroll Trend Strategy (SPX, 1H) | PINEINDICATORSThe "Chande Kroll Stop Strategy" is designed to optimize trading on the SPX using a 1-hour timeframe. This strategy effectively combines the Chande Kroll Stop indicator with a Simple Moving Average (SMA) to create a robust method for identifying long entry and exit points. This detailed description will explain the components, rationale, and usage to ensure compliance with TradingView's guidelines and help traders understand the strategy's utility and application. Objective The primary goal of this strategy is to identify potential long trading opportunities in the SPX by leveraging volatility-adjusted stop levels and trend-following principles. It aims to capture upward price movements while managing risk through dynamically calculated stops. Chande Kroll Stop Parameters: Calculation Mode: Offers "Linear" and "Exponential" options for position size calculation. The default mode is "Exponential." Risk Multiplier: An adjustable multiplier for risk management and position sizing, defaulting to 5. ATR Period: Defines the period for calculating the Average True Range (ATR), with a default of 10. ATR Multiplier: A multiplier applied to the ATR to set stop levels, defaulting to 3. Stop Length: Period used to determine the highest high and lowest low for stop calculation, defaulting to 21. SMA Length: Period for the Simple Moving Average, defaulting to 21. Calculation Details: ATR Calculation: ATR is calculated over the specified period to measure market volatility. Chande Kroll Stop Calculation: High Stop: The highest high over the stop length minus the ATR multiplied by the ATR multiplier. Low Stop: The lowest low over the stop length plus the ATR multiplied by the ATR multiplier. SMA Calculation: The 21-period SMA of the closing price is used as a trend filter. Entry and Exit Conditions: Long Entry: A long position is initiated when the closing price crosses over the low stop and is above the 21-period SMA. This condition ensures that the market is trending upward and that the entry is made in the direction of the prevailing trend. Exit Long: The long position is exited when the closing price falls below the high stop, indicating potential downward movement and protecting against significant drawdowns. Position Sizing: The quantity of shares to trade is calculated based on the selected calculation mode (linear or exponential) and the risk multiplier. This ensures position size is adjusted dynamically based on current market conditions and user-defined risk tolerance. Exponential Mode: Quantity is calculated using the formula: riskMultiplier / lowestClose * 1000 * strategy.equity / strategy.initial_capital. Linear Mode: Quantity is calculated using the formula: riskMultiplier / lowestClose * 1000. Execution: When the long entry condition is met, the strategy triggers a buy signal, and a long position is entered with the calculated quantity. An alert is generated to notify the trader. When the exit condition is met, the strategy closes the position and triggers a sell signal, accompanied by an alert. Plotting: Buy Signals: Indicated with an upward triangle below the bar. Sell Signals: Indicated with a downward triangle above the bar. Application This strategy is particularly effective for trading the SPX on a 1-hour timeframe, capitalizing on price movements by adjusting stop levels dynamically based on market volatility and trend direction. Default Setup Initial Capital: $1,000 Risk Multiplier: 5 ATR Period: 10 ATR Multiplier: 3 Stop Length: 21 SMA Length: 21 Commission: 0.01 Slippage: 3 Ticks Backtesting Results Backtesting indicates that the "Chande Kroll Stop Strategy" performs optimally on the SPX when applied to the 1-hour timeframe. The strategy's dynamic adjustment of stop levels helps manage risk effectively while capturing significant upward price movements. Backtesting was conducted with a realistic initial capital of $1,000, and commissions and slippage were included to ensure the results are not misleading. Risk Management The strategy incorporates risk management through dynamically calculated stop levels based on the ATR and a user-defined risk multiplier. This approach ensures that position sizes are adjusted according to market volatility, helping to mitigate potential losses. Trades are sized to risk a sustainable amount of equity, adhering to the guideline of risking no more than 5-10% per trade. Usage Notes Customization: Users can adjust the ATR period, ATR multiplier, stop length, and SMA length to better suit their trading style and risk tolerance. Alerts: The strategy includes alerts for buy and sell signals to keep traders informed of potential entry and exit points. Pyramiding: Although possible, the strategy yields the best results without pyramiding. Justification of Components The Chande Kroll Stop indicator and the 21-period SMA are combined to provide a robust framework for identifying long trading opportunities in trending markets. Here is why they work well together: Chande Kroll Stop Indicator: This indicator provides dynamic stop levels that adapt to market volatility, allowing traders to set logical stop-loss levels that account for current price movements. It is particularly useful in volatile markets where fixed stops can be easily hit by random price fluctuations. By using the ATR, the stop levels adjust based on recent market activity, ensuring they remain relevant in varying market conditions. 21-Period SMA: The 21-period SMA acts as a trend filter to ensure trades are taken in the direction of the prevailing market trend. By requiring the closing price to be above the SMA for long entries, the strategy aligns itself with the broader market trend, reducing the risk of entering trades against the overall market direction. This helps to avoid false signals and ensures that the trades are in line with the dominant market movement. Combining these two components creates a balanced approach that captures trending price movements while protecting against significant drawdowns through adaptive stop levels. The Chande Kroll Stop ensures that the stops are placed at levels that reflect current volatility, while the SMA filter ensures that trades are only taken when the market is trending in the desired direction. Concepts Underlying Calculations ATR (Average True Range): Used to measure market volatility, which informs the stop levels. SMA (Simple Moving Average): Used to filter trades, ensuring positions are taken in the direction of the trend. Chande Kroll Stop: Combines high and low price levels with ATR to create dynamic stop levels that adapt to market conditions. Risk Disclaimer Trading involves substantial risk, and most day traders incur losses. The "Chande Kroll Stop Strategy" is provided for informational and educational purposes only. Past performance is not indicative of future results. Users are advised to adjust and personalize this trading strategy to better match their individual trading preferences and risk tolerance.
Pine Script® Strategie
von PineIndicators
7
Buffett IndicatorThis is an open-source version of the Buffett indicator. The old version was code-protected and broken, so I created another version. It's computed simply as the entire SPX 500 capitalization divided by the US GDP. Since TradingView does not have data for the SPX 500 capitalization, I used quarterly values of SPX devisors as a proxy. I tried to create another version of the Buffett indicator for other countries/indexes, but I can't find the data. If you can help me find data for index divisors, I can add more choices to this indicator. It's interesting to see how this indicator's behavior has changed in the last few years. Levels that looked crazy are not so crazy anymore. Disclaimer Please remember that past performance may not be indicative of future results. Due to various factors, including changing market conditions, the strategy may no longer perform as well as in historical backtesting. This post and the script don’t provide any financial advice.
Pine Script® Indikator
von QuantNomad
1
VIX Statistical Sentiment Index [Nasan]** THIS IS ONLY FOR US STOCK MARKET** The indicator analyzes market sentiment by computing the Rate of Change (ROC) for the VIX and S&P 500, visualizing the data as histograms with conditional coloring. It measures the correlation between the VIX, the specific stock, and the S&P 500, displaying the results on the chart. The reliability measure combines these correlations, offering an overall assessment of data robustness. One can use this information to gauge the inverse relationship between VIX and S&P 500, the alignment of the specific stock with the market, and the overall reliability of the correlations for informed decision-making based on the inverse relationship of VIX and price movement. **WHEN THE VIX ROC IS ABOVE ZERO (RED COLOR) AND RASING ONE CAN EXPECT THE PRICE TO MOVE DOWNWARDS, WHEN THE VIX ROC IS BELOW ZERO (GREEN)AND DECREASING ONE CAN EXPECT THE PRICE TO MOVE UPWARDS" Understanding the VIX Concept: The VIX, or Volatility Index, is a widely used indicator in finance that measures the market's expectation of volatility over the next 30 days. Here are key points about the VIX: Fear Gauge: Often referred to as the "fear gauge," the VIX tends to rise during periods of market uncertainty or fear and fall during calmer market conditions. Inverse Relationship with Market: The VIX typically has an inverse relationship with the stock market. When the stock market experiences a sell-off, the VIX tends to rise, indicating increased expected volatility. Implied Volatility: The VIX is derived from the prices of options on the S&P 500. It represents the market's expectations for future volatility and is often referred to as "implied volatility." Contrarian Indicator: Extremely high VIX levels may indicate oversold conditions, suggesting a potential market rebound. Conversely, very low VIX levels may signal complacency and a potential reversal. VIX vs. SPX Correlation: This correlation measures the strength and direction of the relationship between the VIX (Volatility Index) and the S&P 500 (SPX). A negative correlation indicates an inverse relationship. When the VIX goes up, the SPX tends to go down, and vice versa. The correlation value closer to -1 suggests a stronger inverse relationship between VIX and SPX. Stock vs. SPX Correlation: This correlation measures the strength and direction of the relationship between the closing price of the stock (retrieved using src1) and the S&P 500 (SPX). This correlation helps assess how closely the stock's price movements align with the broader market represented by the S&P 500. A positive correlation suggests that the stock tends to move in the same direction as the S&P 500, while a negative correlation indicates an opposite movement. Reliability Measure: Combines the squared values of the VIX vs. SPX and Stock vs. SPX correlations and takes the square root to create a reliability measure. This measure provides an overall assessment of how reliable the correlation information is in guiding decision-making. Interpretation: A higher reliability measure implies that the correlations between VIX and SPX, as well as between the stock and SPX, are more robust and consistent. One can use this reliability measure to gauge the confidence they can place in the correlations when making decisions about the specific stock based on VIX data and its correlation with the broader market.
Pine Script® Indikator
von federalTacos5392b
3
BTFD strategy [3min]Hello I would like to introduce a very simple strategy to buy lows and sell with minimal profit This strategy works very well in the markets when there is no clear trend and in other words, the trend going sideways this strategy works very well for stable financial markets like spx500, nasdaq100 and dow jones 30 two indicators were used to determine the best time to enter the market: volume + rsi values volume is usually the number of stocks or contracts traded over a certain period of time. Thus, it is an important indicator of market activity and liquidity. Each transaction constitutes an individual exchange between the buyer and the seller and constitutes the trading volume of a given instrument or asset. The RSI measures the strength of uptrends versus downtrends. The signal is the entry or exit of the indicator value of the oversold or overbought level of the market. It is assumed that a value below or equal 30 indicates an oversold level of the market, and an RSI value above or equal 70 indicates an overbought level. the strategy uses a maximum of 5 market entries after each candle that meets the condition uses 5 target point levels to close the position: tp1= 0.4% tp2= 0.6% tp3= 0.8% tp4= 1.0% tp5= 1.2% after reaching a given profit value, a piece of the position is cut off gradually, where tp5 closes 100% of the remaining position each time you enter a position, a stop loss of 5.0% is set, which is quite a high value, however, when buying each, sometimes very active downward price movement, you need a lot of space for market decisions in which direction it wants to go to determine the level of stop loss and target point I used a piece of code by RafaelZioni , here is the script from which a piece of code was taken this strategy is used for automation, however, I would recommend brokers that have the lowest commission values ​​when opening and closing positions, because the strategy generates very high commission costs Enjoy and trade safe ;)
Pine Script® Strategie
von wielkieef
17
Hobbiecode - SP500 IBS + HigherThis is a simple strategy that is working well on SPY but also well performing on Mini Futures SP500. The strategy is composed by the followin rules: 1. Today is Monday. 2. The close must be lower than the close on Friday. 3. The IBS must be below 0.5. 4. If 1-3 are true, then enter at the close. 5. Sell 5 trading days later (at the close). If you backtest it on Mini Futures SP500 you will be able to track data from 1993. It is important to select D1 as timeframe. Please share any comment or idea below. Have a good trading, Ramón.
Pine Script® Strategie
von hobbiecode
1
Market Relative Candle Ratio ComparatorIntroducing the Market Relative Candle Ratio Comparator, a visually captivating script that eases the way you compare two financial assets, such as cryptocurrencies and market indices. Leveraging a distinctive calculation method based on percentage changes and their averages, this tool presents a crystal-clear view of how your chosen assets perform in relation to each other, both for individual candles and over a range of previous candles. Tailoring the script to your preferences is a walk in the park, as it allows you to easily adjust input symbols, moving average lengths, and other parameters to match your analytical approach. The visually arresting column chart it creates employs vivid red and green colors to underscore the differences between the two assets on each candle. Simultaneously, the lower-opacity columns depict the accumulated differences over a specified lookback period. This vibrant blend of colors and opacities results in a dynamic visual experience, enabling you to better grasp market trends relative to each other. The reverse bool input is a handy feature that lets you invert the effect of the input symbol (DXY by default) in the comparison. When you set the reverse input to true, the script multiplies the calculated DXY percentage change by -1, effectively reversing the comparison. This is particularly useful when examining assets with an inverse relationship or when you'd like to analyze the input symbol's impact in the opposite direction. For instance, if the input symbol represents a market index that generally moves in the opposite direction of the selected cryptocurrency, enabling the reverse input will help you better visualize and understand the relationship between the two assets by inverting the input symbol's effect on the comparison. In the accompanying chart, you can observe the comparison of Bitcoin's movement relative to the Dollar, Gold, Bonds, and the S&P 500. The indicator reveals that in the last day, Bitcoin outperformed Bonds, Gold, and the Dollar but not the S&P 500!
Pine Script® Indikator
von NoaTrader
Correlation prix [SP500, TESLA, BTCBefore you see this post I want to thank all the TradingView team. Every day that passes I learn better and better to use Pine script and I owe this to all those who publish and to the philosophy of TradingView. Thanks from Amos This trading indicator compares the prices of the S&P 500 Index (SP500), Tesla (TSLA), and Bitcoin (BTC) to find correlations between them. To make the prices of SP500 and Tesla comparable to the price of Bitcoin, the indicator multiplies the closing price of Tesla by 114 and the closing price of the S&P 500 Index by 5.6. In this way we can superimpose the prices on the BTC chart and see what happens. Average BTC price/ tesla price = 114, so if we multiply the tesla price by 114 times we can superimpose it on the BTC price At average BTC/SPX price = 5.6, also in this case we multiply the price of SPX by 5.6 to overlay the graph and see any correlations. The indicator then calculates the average price between SP500 and Tesla, using the formula (SP500 + Tesla) / 2. This calculation creates a new line on the chart that represents the average price between these two assets. The BTC_SP_TE variable is then calculated as the average of the closing price of Bitcoin and the previously calculated average price of SP500 and Tesla, using the formula (Btc + SP_TE) / 2. This calculation creates another line on the chart that represents the average price between Bitcoin and the previously calculated average between SP500 and Tesla. The idea behind calculating these averages is to find correlations and patterns between the prices of these assets, which can help identify potential trading opportunities. By comparing the average prices of different assets, the trader can look for trends and patterns that might not be apparent when looking at each asset individually. The indicator plots these prices on a chart and fills the area between them with either green or fuchsia, depending on which one is higher. The strategy suggests buying Bitcoin when the average price of SP500 and Tesla is higher than the current price of Bitcoin, and selling when it is lower. To add visual cues to the trading strategy, the indicator uses the plotchar function to display a small triangle below the chart when it detects a potential buying opportunity. This is done with the following parameters: Value: BTC_SP_TE < Btc and Btc > Btc1 and Btc1 > Btc , which is a logical expression that checks whether the average price of SP500 and Tesla is less than the current price of Bitcoin (BTC_SP_TE < Btc), and whether the current price of Bitcoin is higher than the price 10 bars ago (Btc > Btc1 ) and higher than the price on the previous bar (Btc1 > Btc ). Text: "Moyen BTC_SP_Te", which is the text to display inside the marker. Symbol: "▲", which is the symbol to use for the marker. In this case, it is a small triangle pointing upwards. Location: location.belowbar, which specifies that the marker should be placed below the bar. I hope this is an example of how to create an indicator on TradingView, remember that correlations do not always last, it is possible that when you see the graph this correspondence no longer exists, do your studies and get inspired.
Pine Script® Indikator
von AmosTradingSystem
Pin Candle DetectionPin candles are a variation of hammer candles that are useful in technical analysis . In particular, when combined with volume profile studies, they can be a powerful set up for long entries or other decision making. For example, when looking at volume profiles, a long entry would be a fair value area (i.e. 40%) below the close of a pin candle. When combined with a support level , the set up is stronger. While most scripts look for hammer candles, pin candles are somewhat different in that the length of the wick is significant. This script and its parameters was built for ES futures 15 min chart in mind. This script is unique in that it allows for the below parameters to be adjusted to suit other instruments and timeframes: 1. Fib level: Candle must close within a certain retracement level). My preference is 0.55. Some traders like 0.5, while others prefer 0.33 2. Wick length: Pin candles differ from pure hammers in that the length of the wick must be significant. My preference is 7 points on ES (as in $ and not ticks) Add this script to your alerts to no longer miss these set ups.
Pine Script® Indikator
von xfuturesgod