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Ethereum (Kriptopara)

Filter Wave1. Indicator Name Filter Wave 2. One-line Introduction A visually enhanced trend strength indicator that uses linear regression scoring to render smoothed, color-shifting waves synced to price action. 3. General Overview Filter Wave+ is a trend analysis tool designed to provide an intuitive and visually dynamic representation of market momentum. It uses a pairwise comparison algorithm on linear regression values over a lookback period to determine whether price action is consistently moving upward or downward. The result is a trend score, which is normalized and translated into a color-coded wave that floats above or below the current price. The wave's opacity increases with trend strength, giving a visual cue for confidence in the trend. The wave itself is not a raw line—it goes through a three-stage smoothing process, producing a natural, flowing curve that is aesthetically aligned with price movement. This makes it ideal for traders who need a quick visual context before acting on signals from other tools. While Filter Wave+ does not generate buy/sell signals directly, its secure and efficient design allows it to serve as a high-confidence trend filter in any trading system. 4. Key Advantages 🌊 Smooth, Dynamic Wave Output 3-stage smoothed curves give clean, flowing visual feedback on market conditions. 🎨 Trend Strength Visualized by Color Intensity Stronger trends appear with more solid coloring, while weak/neutral trends fade visually. 🔍 Quantitative Trend Detection Linear regression ordering delivers precise, math-based trend scoring for confidence assessment. 📊 Price-Synced Floating Wave Wave is dynamically positioned based on ATR and price to align naturally with market structure. 🧩 Compatible with Any Strategy No conflicting signals—Filter Wave+ serves as a directional overlay that enhances clarity. 🔒 Secure Core Logic Core algorithm is lightweight and secure, with minimal code exposure and strong encapsulation. 📘 Indicator User Guide 📌 Basic Concept Filter Wave+ calculates trend direction and intensity using linear regression alignment over time. The resulting wave is rendered as a smoothed curve, colored based on trend direction (green for up, red for down, gray for neutral), and adjusted in transparency to reflect trend strength. This allows for fast trend interpretation without overwhelming the chart with signals. ⚙️ Settings Explained Lookback Period: Number of bars used for pairwise regression comparisons (higher = smoother detection) Range Tolerance (%): Threshold to qualify as an up/down trend (lower = more sensitive) Regression Source: The price input used in regression calculation (default: close) Linear Regression Length: The period used for the core regression line Bull/Bear Color: Customize the color for bullish and bearish waves 📈 Timing Example Wave color changes to green and becomes more visible (less transparent) Wave floats above price and aligns with an uptrend Use as trend confirmation when other signals are present 📉 Timing Example Wave shifts to red and darkens, floating below the price Regression direction down; price continues beneath the wave Acts as bearish confirmation for short trades or risk-off positioning 🧪 Recommended Use Cases Use as a trend confidence overlay on your existing strategies Especially useful in swing trading for detecting and confirming dominant market direction Combine with RSI, MACD, or price action for high-accuracy setups 🔒 Precautions This is not a signal generator—intended as a trend filter or directional guide May respond slightly slower in volatile reversals; pair with responsive indicators Wave position is influenced by ATR and price but does not represent exact entry/exit levels Parameter optimization is recommended based on asset class and timeframe
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c9indicator tarafından
Asset vs Total Market Cap & Relative Strength Purpose This indicator allows traders to compare a selected asset to the major market benchmarks: BTC – primary crypto market leader ETH – secondary crypto market leader USDT.D – shows market risk-on vs risk-off sentiment TOTAL – total crypto market capitalization, useful for overall market trends It also provides relative strength calculations: Rel. Strength = Asset % change - USDT.D % change Rel. Strength vs Total = Asset % change - Total % change This allows you to see if your asset is outperforming or underperforming broader benchmarks. The table covers multiple timeframes, making it easy to scan both short-term and longer-term trends: Row Timeframe 0 Current 1 15m 2 1H 3 4H 4 1D Selected Asset / BTC / ETH: Green for positive % change Red for negative % change Gradient intensity proportional to magnitude (maxAbsChange input) USDT.D: Orange if rising (risk-off) Teal if falling (risk-on) Total Market Cap / Rel. Strength: Gradient reflects asset performance relative to total market, independent of USDT.D. Positives Compact dashboard: Everything is in one table for quick scanning. Multi-timeframe comparison: Traders can instantly see short-term vs long-term strength. Relative performance visualization: Gradients immediately highlight outperformers and underperformers. Benchmark comparisons: Asset vs BTC, ETH, USDT.D, and Total Market Cap. Independent Rel. Strength: Highlights whether the asset is outperforming even if the total market moves. Customizable gradient sensitivity: maxAbsChange and maxRelChange allow tuning how “strong” the colors appear. Chart plotting: Rel. Strength vs total market is plotted for further visual reference. How to Use Green table cells → strong positive movement Red table cells → negative movement Rel. Strength > 0 → asset outperforming Rel. Strength < 0 → asset underperforming Use table to compare relative performance vs BTC, ETH, and total market for informed trading decisions.
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coachyrod tarafından
LRHS Strategy - (@BAKARAFX)LRHS Strategy by @Bakarafx 🇫🇷 Indicateur avancé conçu pour identifier les zones de retournement potentielles basées sur les chasses de liquidités et la structure du marché. Il aide les traders à comprendre où les grands acteurs piègent les participants avant un mouvement significatif, et à repérer les points clés de renversement avec précision. ⚙️ Fonctionnalités principales : • Détection automatique des chasses de liquidités (hauts/bas précédents). • Lecture multi-timeframe avec filtrage intelligent selon le timeframe de chasse et de confirmation. • Signaux visuels clairs indiquant les zones de renversement structurel • Outil compatible avec Bitcoin et Ethereum • Optimisé pour le price action 🇺🇸 An advanced indicator designed to identify potential reversal zones based on liquidity hunts and market structure. It helps traders understand where major players trap participants before a significant move, allowing for more precise detection of key reversal points. ⚙️ Main Features: • Automatic detection of liquidity grabs (previous highs/lows) • Multi-timeframe analysis with smart filtering between hunt and confirmation timeframes • Clear visual signals highlighting structural reversal zones • Compatible with Bitcoin and Ethereum • Optimized for price action trading 📍 Développé par : @Bakarafx ⚠️ Disclaimer / Avertissement This indicator is for educational and informational purposes only. It does not constitute financial or investment advice. Trading involves a high level of risk, and the author is not responsible for any financial losses that may occur. Always do your own analysis and risk management before taking a trade. Past performance does not guarantee future results.
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Bakarafx tarafından
Heikin Ashi Overlay SuiteHeikin Ashi Overlay Suite is designed to give traders more control and clarity when working with Heikin Ashi candles — whether you're analyzing trend strength, reducing chart noise, or simply improving your visual read of market momentum. It works by layering multiple types of HA overlays and color systems on top of your standard candlestick chart — without switching chart types. With dynamic gradient coloring, smoothing options, and a predictive line tool, this script helps you see not just what the current trend is, but how strong it is, and what it would take to reverse it. Heikin Ashi candles help reduce noise but this script goes further by: ➡️adding color intelligence that shows trend strength using a streak counter ➡️uses smoothing logic to clean up chop and whipsaws ➡️introduces a predictive close line — a subtle but powerful guide for anticipating trend flips before they happen Everything is configurable: colors, candle sources, overlays, predictive tools, and line styles. It’s built for traders who want visual speed, but don’t want to sacrifice signal quality. At its core, the script offers two powerful dropdown controls: 💥HA Color Scheme (Colors Regular Candles) — Applies Heikin Ashi-derived coloring to your regular candles based on trend direction or streak strength. This gives you instant visual context without switching to a separate chart type. 💥HA Candle Overlay Mode — Overlays actual Heikin Ashi-style candles directly on top of your chart, using your preferred source: ➡️Custom HA candles using internal formula logic ➡️TradingView’s built-in Heikin Ashi source with your own colors ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 🎨 Custom + Gradient HA Coloring🎨 See trend strength at a glance: ➡️1–4 bar streaks → lighter tone ➡️5–8 bars → medium tone ➡️9+ bars → bold tone, ideal for momentum-based entries, exits, or scaling strategies → Choose from: ➡️Your own custom color set ➡️A simple 2-color base mode ➡️Or a 3-level gradient for progressive trend analysis (using the streak counter) 🏛️ TradingView Official Heikin Ashi Overlay Prefer native HA candles but want your own colors? This mode plots TradingView's Heikin Ashi source, with your personal bullish/bearish color scheme. ➡️Ensures consistency with built-in charts while still leveraging your visual style. 🌊 Smoothed Heikin Ashi Candles — Clarity in Chaos🌊 These aren’t your standard HA candles. Smoothed Heikin Ashi uses a two-step EMA process to transform chaotic price action into a cleaner, slower-moving trend structure: 🔹 First, it smooths the raw OHLC data using EMA — filtering out minor price fluctuations. 🔹 Then, it applies the Heikin Ashi transformation on top of the smoothed data. 🔹 Finally, it applies a second EMA smoothing pass to the HA values — creating ultra-smooth candles. 📈 What You See: Trends appear more fluid and consistent. Choppy ranges and fakeouts are visually suppressed. Minor pullbacks within a trend are de-emphasized, helping you avoid premature exits. 🎯 Best For: Swing traders looking to stay in positions longer. Intraday traders dealing with volatile or noisy instruments. Anyone who wants a "trend map" overlay without the distractions of raw price action. ✅ Reduces whipsaws ✅ Delivers high-contrast trend zones ✅ Makes reversals more visually apparent (but with a slight lag) 📍 Predictive Close Line📍 Shows where the real close must land to flip the current HA candle's color. ✅ Use it like predictive support/resistance ✅ Know if the trend is actually at risk ✅Visualize potential fakeouts or confirmation Color-coded based on current HA direction (bullish, bearish, or neutral). 📈 Tick by tick & bar-to-bar Plots📈 Provides 2 plot types: 1)1 plot that tracks a bar tick by tick 2)another plot that tracks the close from bar to bar For the bar to bar plot, you can choose between 2 options: ✅Full Plot — continuous line colored by HA trend ✅Recent Segments — color just the last few bars (configurable) to reduce chart clutter ✅ Customize width, number of bars, and visibility ➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖➖ 📘 How to Use this script📘 Imagine you're watching a choppy 15-minute chart on a volatile crypto pair — price action is messy, and it’s hard to tell if a trend is forming or just noise. Here’s how to cut through the chaos using Heikin Ashi Overlay Suite: 🔹 Step 1: Enable "Smoothed HA Candles" Start by turning on the smoothed candles. You’ll immediately notice the noise fades, and broader directional moves become easier to follow. It's like switching from static to clean trend zones. 🧠 Why: Smoothed HA uses a double EMA process that filters out small reversals and lets larger moves stand out. Perfect for sideways or jittery charts. 🔹 Step 2: Watch the Color Gradient Build As the smoothed candles begin to align in one direction, the gradient coloring (1–4, 5–8, 9+ streaks) gives you an at-a-glance visual of how strong the trend is. ✅ If you see 9+ same-colored candles? You’re likely in a mature trend. ✅ If it resets often? You’re in chop — consider staying out. 🔹 Step 3: Use the Predictive Close Line for Anticipation Now here’s the edge — this line tells you where the candle would have to close to flip colors. 📉 If price is hovering just above it during a bullish run — momentum may be weakening. 📈 If price bounces off it — the trend may be strengthening. This is excellent for confirming entries, exits, or spotting early warning signs. 🔹 Step 4: Switch Between Candle Modes as Needed You can flip between: ✅ Custom HA: Gradient candles with your colors ✅ TradingView HA: The official source with your styling ✅ None: Just color regular candles using the HA logic Use what fits your style — everything is modular. 🔹 Step 5: Tune It to Your Chart Lastly, tweak streak thresholds (currently only can do this within the source code), smoothing lengths, and line styles to match your timeframe and strategy. 🎯 Tailor The Settings to Fit Your Trading Style🎯 🔹 🧪 Scalper (1–5 min charts) If you’re trading fast intraday moves, you want quicker responsiveness and less lag. Try these settings: 🔸Smoothing Lengths: Use lower values (e.g. len = 3, len2 = 5) 🔸Candle Mode: Use Custom HA or TV’s HA for real-time color flips 🔸Predictive Close Line: Great for ultra-fast anticipation of color reversals 🔸Line Mode: Use Recent Segments mode to track short bursts of trend 🔸Colors: Use high-contrast, opaque colors for clarity ✅ These settings help you catch micro-trends and flip signals faster, while still filtering out the worst of the noise. 🔹 🧪 Swing Trader (30m–4h charts and beyond) If you’re looking for multi-hour or multi-day trend confirmation, prioritize clarity and staying in moves longer. Recommended setup: 🔸Smoothing Lengths: Medium to high values (e.g. len = 8, len2 = 21) 🔸Candle Mode: Use Smoothed HA Candles to block out intrabar chop 🔸Gradient Colors: Enable to visualize trend maturity and strength 🔸Predictive Close Line: Helps confirm trend continuation or spot early reversals 🔸Line Mode: Use Full Plot Line for clean HA-based trend tracking ✅ These settings give you a calm, clean view of the bigger picture — ideal for holding positions longer and avoiding early exits. 🔧 This script isn’t just a chart overlay — it’s a visual trend engine.🔧 Ideal For: 🔶 Trend-followers who want clean, color-coded confirmation 🔶 Reversal traders spotting exhaustion via predictive flips 🔶 Scalpers filtering noise with lighter smoothing 🔶 Swing traders using smoothed visuals to hold longer 📌 Final Note Heikin Ashi Overlay Pro is designed to help you see momentum, trend shifts, and market structure with greater clarity — not to predict price on its own. For best results: ✔️ Combine with support/resistance, moving averages, or price action patterns ✔️ Use Predictive Close as a confirmation tool, not a signal generator ✔️ Pair gradient colors with structure to gauge trend maturity ✔️ Always zoom out and check higher timeframes for context 🧠 Use this as part of a layered approach — not a standalone system. 🙏 Credits🙏 ⚡HA logic based on SimpleCryptoLife ⚡Smoothed HA concept adapted from a script by Jackvmk 💡💡💡Turn logic into clarity. Structure into trades. And uncertainty into confidence.💡💡💡
Pine Script® göstergesi
MYNAMEISBRANDON tarafından
7
Mutanabby_AI __ OSC+ST+SQZMOMMutanabby_AI OSC+ST+SQZMOM: Multi-Component Trading Analysis Tool Overview The Mutanabby_AI OSC+ST+SQZMOM indicator combines three proven technical analysis components into a unified trading system, providing comprehensive market analysis through integrated oscillator signals, trend identification, and volatility assessment. Core Components Wave Trend Oscillator (OSC): Identifies overbought and oversold market conditions using exponential moving average calculations. Key threshold levels include overbought zones at 60 and 53, with oversold areas marked at -60 and -53. Crossover signals between the two oscillator lines generate entry opportunities, displayed as colored circles on the chart for easy identification. Supertrend Indicator (ST): Determines overall market direction using Average True Range calculations with a 2.5 factor and 10-period ATR configuration. Green lines indicate confirmed uptrends while red lines signal downtrend conditions. The indicator automatically adapts to market volatility changes, providing reliable trend identification across different market environments. Squeeze Momentum (SQZMOM): Compares Bollinger Bands with Keltner Channels to identify consolidation periods and potential breakout scenarios. Black squares indicate squeeze conditions representing low volatility periods, green triangles signal confirmed upward breakouts, and red triangles mark downward breakout confirmations. Signal Generation Logic Long Entry Conditions: Green triangles from Squeeze Momentum component Supertrend line transitioning to green Bullish crossovers in Wave Trend Oscillator from oversold territory Short Entry Conditions: Red triangles from Squeeze Momentum component Supertrend line transitioning to red Bearish crossovers in Wave Trend Oscillator from overbought territory Automated Risk Management The indicator incorporates comprehensive risk management through ATR-based calculations. Stop losses are automatically positioned at 3x ATR distance from entry points, while three progressive take profit targets are established at 1x, 2x, and 3x ATR multiples respectively. All risk management levels are clearly displayed on the chart using colored lines and informative labels. When trend direction changes, the system automatically clears previous risk levels and generates new calculations, ensuring all risk parameters remain current and relevant to existing market conditions. Alert and Notification System Comprehensive alert framework includes trend change notifications with complete trade setup details, squeeze release alerts for breakout opportunity identification, and trend weakness warnings for active position management. Alert messages contain specific trading pair information, timeframe specifications, and all relevant entry and exit level data. Implementation Guidelines Timeframe Selection: Higher timeframes including 4-hour and daily charts provide the most reliable signals for position trading strategies. One-hour charts demonstrate good performance for day trading applications, while 15-30 minute timeframes enable scalping approaches with enhanced risk management requirements. Risk Management Integration: Limit individual trade risk to 1-2% of total capital using the automatically calculated stop loss levels for precise position sizing. Implement systematic profit-taking at each target level while adjusting stop loss positions to protect accumulated gains. Market Volatility Adaptation: The indicator's ATR-based calculations automatically adjust to changing market volatility conditions. During high volatility periods, risk management levels appropriately widen, while low volatility conditions result in tighter risk parameters. Optimization Techniques Combine indicator signals with fundamental support and resistance level analysis for enhanced signal validation. Monitor volume patterns to confirm breakout strength, particularly when Squeeze Momentum signals develop. Maintain awareness of scheduled economic events that may influence market behavior independent of technical indicator signals. The multi-component design provides internal signal confirmation through multiple alignment requirements, significantly reducing false signal occurrence while maintaining reasonable trade frequency for active trading strategies. Technical Specifications The Wave Trend Oscillator utilizes customizable channel length (default 10) and average length (default 21) parameters for optimal market sensitivity. Supertrend calculations employ ATR period of 10 with factor multiplier of 2.5 for balanced signal quality. Squeeze Momentum analysis uses Bollinger Band length of 20 periods with 2.0 multiplication factor, combined with Keltner Channel length of 20 periods and 1.5 multiplication factor. Conclusion The Mutanabby_AI OSC+ST+SQZMOM indicator provides a systematic approach to technical market analysis through the integration of proven oscillator, trend, and momentum components. Success requires thorough understanding of each element's functionality and disciplined implementation of proper risk management principles. Practice with demo trading accounts before live implementation to develop familiarity with signal interpretation and trade management procedures. The indicator's systematic approach effectively reduces emotional decision-making while providing clear, objective guidelines for trade entry, management, and exit strategies across various market conditions.
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Mutanabby_AI tarafından
1
RATIO TPI ETHBTC | JeffreyTimmermansETHBTC Ratio Trend Probability Indicator Medium-Term Trend Assessment | Dominant Major Detector: The ETHBTC Ratio TPI is a medium-term trend-following indicator designed to measure the relative strength between Ethereum and Bitcoin — the two most dominant assets in crypto. By analyzing the ETHBTC ratio, this tool provides insights into which of the two is currently leading the market trend. Unlike absolute price indicators, this tool tracks relative dominance. When Ethereum outperforms Bitcoin, the ratio trends upward, signaling ETH dominance. When Bitcoin outperforms Ethereum, the ratio trends downward, signaling BTC dominance. Key Features Dominant Major Identification: The core purpose of this TPI is to determine which asset — Ethereum or Bitcoin — is the dominant major in the current crypto cycle. ETH Dominant: ETHBTC is trending up BTC Dominant: ETHBTC is trending down Neutral: No clear directional edge 8 Trend-Following Inputs: The indicator aggregates 8 hand-picked, medium-term trend-following metrics into a single score that simplifies the ETHBTC trend assessment. Score-Based Regime Classification: Score > 0.1 → ETH is in relative uptrend → Dominant Major: ETH Score < -0.1 → BTC is in relative uptrend → Dominant Major: BTC Between -0.1 and 0.1 → Neutral trend → No clear dominance Dynamic Visuals: Background color adapts to the dominant asset Score, trend state per input, and composite result are shown in a clean dashboard Use Cases: Rotation Strategy Insight: Understand whether capital is flowing into Ethereum or Bitcoin to adjust your portfolio positioning accordingly. Dominance-Based Macro Timing: Use the dominance shift as a leading signal for broader altcoin cycles. Multi-Timeframe Confirmation: Combine with LTPI (Long-Term) and STPI (Short-Term) to build directional conviction. Conclusion The ETHBTC Ratio TPI is a highly focused tool that simplifies the complex relationship between Ethereum and Bitcoin into one clear output: who is currently leading the crypto market. With 8 inputs driving a composite trend score and a dynamic dominance label, this indicator is essential for anyone looking to time ETH vs BTC rotations with precision.
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JeffreyTimmermans tarafından
Reversal IndicatorWhat does this indicator do? This indicator is designed to help traders spot potential reversal points in the market by combining multiple conditions: ✅ Multi-Timeframe RSI – Checks RSI on a lower timeframe (like 5m) to see if the market is oversold or overbought. ✅ Higher Timeframe SMA Filter – Uses a higher timeframe SMA (like 1h) as a trend filter, so signals only trigger in the direction of the bigger trend. ✅ Candle Pattern Confirmation – Looks for bullish or bearish engulfing candles to confirm price exhaustion before signaling a reversal. When all these conditions align, the indicator plots a triangle under/above the candle to highlight a possible reversal. Why is this useful? Many traders struggle with false RSI signals or candle patterns that fail because they don’t respect the larger trend. This indicator filters out weak setups by requiring alignment between: A lower timeframe RSI oversold/overbought condition, A higher timeframe trend filter (SMA), And a strong candle reversal pattern. This multi-layer approach helps avoid chasing every RSI dip and focuses only on high-probability reversal zones. How does it work? Bullish reversal signal → appears when RSI on the lower TF is oversold, price is still above the higher TF SMA (trend still intact), AND a bullish engulfing candle forms. Bearish reversal signal → appears when RSI on the lower TF is overbought, price is below the higher TF SMA, AND a bearish engulfing candle forms. When all conditions match, the indicator plots a triangle under the candle for bullish signals and above the candle for bearish signals. How to use it? Choose your timeframes: A timeframe for trend filtering (e.g. 1h). A timeframe for RSI (e.g. 4h). NOTICE: THE RSI TIMEFRAME SHOULD BE GREATER THEN THE TIMEFRAME FOR THE SMA Otherwise it will not generate that much signals. Watch for signals ONLY in the direction of the higher trend. Use the signals as potential reversal points, not as guaranteed entries. Combine with your own confluence. Optionally set alerts for bullish or bearish reversal conditions so you never miss a setup. Customization ✅ Choose your RSI length & overbought/oversold levels. ✅ Select which timeframes you want for SMA & RSI. ✅ Toggle the higher TF SMA display on/off. ✅ Adjust signal appearance (triangles). Important Notes ⚠️ This is not a standalone trading system. It’s a tool to help spot possible reversal areas. Always confirm with price action, support/resistance, or your own strategy
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FunStriker tarafından
10
Spent Output Profit Ratio Z-Score | Vistula LabsOverview The Spent Output Profit Ratio (SOPR) Z-Score indicator is a sophisticated tool designed by Vistula Labs to help cryptocurrency traders analyze market sentiment and identify potential trend reversals. It leverages on-chain data from Glassnode to calculate the Spent Output Profit Ratio (SOPR) for Bitcoin and Ethereum, transforming this metric into a Z-Score for easy interpretation. What is SOPR? Spent Output Profit Ratio (SOPR) measures the profit ratio of spent outputs (transactions) on the blockchain: SOPR > 1: Indicates that, on average, coins are being sold at a profit. SOPR < 1: Suggests that coins are being sold at a loss. SOPR = 1: Break-even point, often seen as a key psychological level. SOPR provides insights into holder behavior—whether they are locking in profits or cutting losses—making it a valuable gauge of market sentiment. How It Works The indicator applies a Z-Score to the SOPR data to normalize it relative to its historical behavior: Z-Score = (Smoothed SOPR - Moving Average of Smoothed SOPR) / Standard Deviation of Smoothed SOPR Smoothed SOPR: A moving average (e.g., WMA) of SOPR over a short period (default: 30 bars) to reduce noise. Moving Average of Smoothed SOPR: A longer moving average (default: 180 bars) of the smoothed SOPR. Standard Deviation: Calculated over a lookback period (default: 200 bars). This Z-Score highlights how extreme the current SOPR is compared to its historical norm, helping traders spot significant deviations. Key Features Data Source: Selectable between BTC and ETH, using daily SOPR data from Glassnode. Customization: Moving Average Types: Choose from SMA, EMA, DEMA, RMA, WMA, or VWMA for both smoothing and main averages. Lengths: Adjust the smoothing period (default: 30) and main moving average length (default: 180). Z-Score Lookback: Default is 200 bars. Thresholds: Set levels for long/short signals and overbought/oversold conditions. Signals: Long Signal: Triggered when Z-Score crosses above 1.02, suggesting potential upward momentum. Short Signal: Triggered when Z-Score crosses below -0.66, indicating potential downward momentum. Overbought/Oversold Conditions: Overbought: Z-Score > 2.5, signaling potential overvaluation. Oversold: Z-Score < -2.0, indicating potential undervaluation. Visualizations: Z-Score Plot: Teal for long signals, magenta for short signals. Threshold Lines: Dashed for long/short, solid for overbought/oversold. Candlestick Coloring: Matches signal colors. Arrows: Green up-triangles for long entries, red down-triangles for short entries. Background Colors: Magenta for overbought, teal for oversold. Alerts: Conditions for Long Opportunity, Short Opportunity, Overbought, and Oversold. Usage Guide Select Cryptocurrency: Choose BTC or ETH. Adjust Moving Averages: Customize types and lengths for smoothing and main averages. Set Thresholds: Define Z-Score levels for signals and extreme conditions. Monitor Signals: Use color changes, arrows, and background highlights to identify opportunities. Enable Alerts: Stay informed without constant chart watching. Interpretation High Z-Score (>1.02): SOPR is significantly above its historical mean, potentially indicating overvaluation or strong bullish momentum. Low Z-Score (<-0.66): SOPR is below its mean, suggesting undervaluation or bearish momentum. Extreme Conditions: Z-Scores above 2.5 or below -2.0 highlight overbought or oversold markets, often preceding reversals. Conclusion The SOPR Z-Score indicator combines on-chain data with statistical analysis to provide traders with a clear, actionable view of market sentiment. Its customizable settings, visual clarity, and alert system make it an essential tool for both novice and experienced traders seeking an edge in the cryptocurrency markets.
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GiraffeCodes tarafından
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.
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UnknownUnicorn7763682 tarafından
WMA Killer Ratio Analysis | JeffreyTimmermansWMA Killer Ratio Analysis The WMA Killer Ratio Analysis is a highly responsive trend-following indicator designed to deliver quick and actionable insights on the ETHBTC ratio. By utilizing advanced smoothing methods and normalized thresholds, this tool efficiently identifies market trends. Let’s dive into the details: Core Mechanics 1. Smoothing with Standard Deviations The WMA Killer Ratio Analysis begins by smoothing source price data using standard deviations, which measure the typical variance in price movements. This creates dynamic deviation levels: Upper Deviation: Marks the high boundary, indicating potential overbought conditions. Lower Deviation: Marks the low boundary, signaling potential oversold conditions. These levels are integrated with the Weighted Moving Average (WMA), filtering out market noise and honing in on significant price shifts. 2. Weighted WMA Bands The WMA is further refined with dynamic weighting: Upper Weight: Expands the WMA, creating an Upper Band to capture extreme price highs. Lower Weight: Compresses the WMA, forming a Lower Band to reflect price lows. This adaptive dual-weighting system highlights potential areas for trend reversals or continuations with precision. 3. Normalized WMA (NWMA) Analysis The Normalized WMA adds a deeper layer of trend evaluation: It calculates the percentage change between the source price and its smoothed average. Positive NWMA values suggest overbought conditions, while negative NWMA values point to oversold conditions. Traders can customize long (buy) and short (sell) thresholds to align signal sensitivity with their strategy and market conditions. Signal Logic Buy (Long) Signals: Triggered when the price remains above the lower deviation level and the NWMA crosses above the long threshold. Indicates a bullish trend and potential upward momentum. Sell (Short) Signals: Triggered when the price dips below the upper deviation level and the NWMA falls beneath the short threshold. Suggests bearish momentum and a potential downward trend. Note: The WMA Killer Ratio Analysis is most effective when paired with other forms of analysis, such as volume, higher time-frame trends, or fundamental data. Visual Enhancements The WMA Killer Ratio Analysis emphasizes usability with clear and dynamic plotting features: 1. Color-Coded Trend Indicators: The indicator changes color dynamically to represent trend direction. Users can customize colors to suit specific trading pairs (e.g., ETHBTC, SOLBTC). 2. Threshold Markers: Dashed horizontal lines represent long and short thresholds, giving traders a visual reference for signal levels. 3. Deviation Bands with Fill Areas: Upper and Lower Bands are plotted around the WMA. Shaded regions highlight deviation zones, making trend boundaries easier to spot. 4. Signal Arrows and Bar Coloring: Arrows or triangles appear on the chart to mark potential buy (upward) or sell (downward) points. Candlesticks are color-coded based on the prevailing trend, allowing traders to interpret the market direction at a glance. Customization Options Adjustable Thresholds: Tailor the sensitivity of long and short signals to your strategy. Dynamic Weighting: Modify upper and lower band weights to adapt the WMA to varying market conditions. Source Selection: Choose the preferred input for price data smoothing, such as closing price or an average (hl2). The WMA Killer Ratio Analysis combines rigorous mathematical analysis with intuitive visual features, providing traders with a reliable way to identify trends and make data-driven decisions. While it excels at detecting key market shifts, its effectiveness increases when integrated into a broader trading strategy. -Jeffrey
Pine Script® göstergesi
JeffreyTimmermans tarafından
Cabal Dev IndicatorThis is a TradingView Pine Script (version 6) that creates a technical analysis indicator called the "Cabal Dev Indicator." Here's what it does: 1. Core Functionality: - It calculates a modified version of the Stochastic Momentum Index (SMI), which is a momentum indicator that shows where the current close is relative to the high/low range over a period - The indicator combines elements of stochastic oscillator calculations with exponential moving averages (EMA) 2. Key Components: - Uses configurable input parameters for: - Percent K Length (default 15) - Percent D Length (default 3) - EMA Signal Length (default 15) - Smoothing Period (default 5) - Overbought level (default 40) - Oversold level (default -40) 3. Calculation Method: - Calculates the highest high and lowest low over the specified period - Finds the difference between current close and the midpoint of the high-low range - Applies EMA smoothing to both the range and relative differences - Generates an SMI value and further smooths it using a simple moving average (SMA) - Creates an EMA signal line based on the smoothed SMI 4. Visual Output: - Plots the smoothed SMI line in green - Plots an EMA signal line in red - Shows overbought and oversold levels as gray horizontal lines - Fills the areas above the overbought level with light red - Fills the areas below the oversold level with light green This indicator appears designed to help traders identify potential overbought and oversold conditions in the market, as well as momentum shifts, which could be used for trading decisions. Would you like me to explain any specific part of the indicator in more detail?
Pine Script® göstergesi
SolanaMemeCoins tarafından
MultiSector Performance Tracker [LuxAlgo]The MultiSector Performance Tracker tool shows the overall performance of different crypto market sectors within a selected time frame, overlaid on a single chart for easy comparison. Users can customize the time frame to suit their specific needs, whether daily, weekly, monthly, or yearly. 🔶 USAGE The tool displays the performance of up to 6 crypto sectors within a selected time period, such as each day, week, month or year, or from the beginning of the year for any of the last 4 years. The sectors and tickers within each sector are as follows: Layer 1: CRYPTOCAP:ETH CRYPTOCAP:SOL CRYPTOCAP:TON Layer 2: SEED_DONKEYDAN_MARKET_CAP:MATIC TSX:MNT AMEX:ARB CEX: CRYPTOCAP:BNB CRYPTOCAP:OKB NYSE:BGB DEX: CRYPTOCAP:UNI LSE:JUP CRYPTOCAP:RUNE AI: CRYPTOCAP:NEAR GETTEX:TAO CRYPTOCAP:ICP Ethereum Memes: CRYPTOCAP:PEPE CRYPTOCAP:SHIB CRYPTOCAP:FLOKI Traders can compare the relative performance of a custom ticker against the sector of their choice and view the average of all sectors. The tool is fully customizable, allowing traders to enable or disable any of the features or sectors. 🔹 Dashboard The tool also displays the data in an ascending or descending sector performance dashboard, allowing traders to see at a glance which sectors are overperforming or underperforming. Other dashboard features include custom ticker vs. sector comparison and sectors average, and traders can choose the location and size of the dashboard. 🔶 SETTINGS Period: View all data by time period, daily, weekly, etc. Or view data from last year, last 2 years, etc. Relative Performance Against: Enable/Disable relative performance comparison against a sector. Use chart ticker: Enable the use of the chart ticker or a custom ticker for relative performance comparison. 🔹 Dashboard Show Dashboard: Enable / disable Dashboard display. Order: Choose between ascending and descending order. Position: Selection of dashboard location. Size: Selection of dashboard size. 🔹 Style Show Sectors Labels: Enable / disable sector labels Layer 1: Enable / disable Layer 1 sector Layer 2: Enable / disable Layer 2 sector CEX: Enable / disable CEX sector DEX: Enable / disable DEX sector AI: Enable / disable AI sector Ethereum Memes: Enable / disable Ethereum Memes sector Average: Enable / disable sectors average display Custom Ticker: Enable / disable custom ticker display
Pine Script® göstergesi
LuxAlgo tarafından
Crypto Wallets Profitability & Performance [LuxAlgo]The Crypto Wallets Profitability & Performance indicator provides a comprehensive view of the financial status of cryptocurrency wallets by leveraging on-chain data from IntoTheBlock. It measures the percentage of wallets profiting, losing, or breaking even based on current market prices. Additionally, it offers performance metrics across different timeframes, enabling traders to better assess market conditions. This information can be crucial for understanding market sentiment and making informed trading decisions. 🔶 USAGE 🔹 Wallets Profitability This indicator is designed to help traders and analysts evaluate the profitability of cryptocurrency wallets in real-time. It aggregates data gathered from the blockchain on the number of wallets that are in profit, loss, or breaking even and presents it visually on the chart. Breaking even line demonstrates how realized gains and losses have changed, while the profit and the loss monitor unrealized gains and losses. The signal line helps traders by providing a smoothed average and highlighting areas relative to profiting and losing levels. This makes it easier to identify and confirm trading momentum, assess strength, and filter out market noise. 🔹 Profitability Meter The Profitability Meter is an alternative display that visually represents the percentage of wallets that are profiting, losing, or breaking even. 🔹 Performance The script provides a view of the financial health of cryptocurrency wallets, showing the percentage of wallets in profit, loss, or breaking even. By combining these metrics with performance data across various timeframes, traders can gain valuable insights into overall wallet performance, assess trend strength, and identify potential market reversals. 🔹 Dashboard The dashboard presents a consolidated view of key statistics. It allows traders to quickly assess the overall financial health of wallets, monitor trend strength, and gauge market conditions. 🔶 DETAILS 🔹 The Chart Occupation Option The chart occupation option adjusts the occupation percentage of the chart to balance the visibility of the indicator. 🔹 The Height in Performance Options Crypto markets often experience significant volatility, leading to rapid and substantial gains or losses. Hence, plotting performance graphs on top of the chart alongside other indicators can result in a cluttered display. The height option allows you to adjust the plotting for balanced visibility, ensuring a clearer and more organized chart. 🔶 SETTINGS The script offers a range of customizable settings to tailor the analysis to your trading needs. Chart Occupation %: Adjust the occupation percentage of the chart to balance the visibility of the indicator. 🔹 Profiting Wallets Profiting Percentage: Toggle to display the percentage of wallets in profit. Smoothing: Adjust the smoothing period for the profiting percentage line. Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) to overlay on the profiting percentage. 🔹 Losing Wallets Losing Percentage: Toggle to display the percentage of wallets in loss. Smoothing: Adjust the smoothing period for the losing percentage line. Signal Line: Choose a signal line type (SMA, EMA, RMA, or None) to overlay on the losing percentage. 🔹 Breaking Even Wallets Breaking-Even Percentage: Toggle to display the percentage of wallets breaking even. Smoothing: Adjust the smoothing period for the breaking-even percentage line. 🔹 Profitability Meter Profitability Meter: Enable or disable the meter display, set its width, and adjust the offset. 🔹 Performance Performance Metrics: Choose the timeframe for performance metrics (Day to Date, Week to Date, etc.). Height: Adjust the height of the chart visuals to balance the visibility of the indicator. 🔹 Dashboard Block Profitability Stats: Toggle the display of profitability stats. Performance Stats: Toggle the display of performance stats. Dashboard Size and Position: Customize the size and position of the performance dashboard on the chart. 🔶 RELATED SCRIPTS Market-Sentiment-Technicals Multi-Chart-Widget
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LuxAlgo tarafından
Altcoin Total Average Divergence (YavuzAkbay)The "Average Price and Divergence" indicator is a strong tool built exclusively for cryptocurrency traders who understand the significance of comparing altcoins to Bitcoin (BTC). While traditional research frequently focusses on the value of cryptocurrencies against fiat currencies such as the US dollar, this indicator switches the focus to the value of altcoins against Bitcoin itself, allowing you to detect potential market opportunities and divergences. The indicator allows you to compare the price of an altcoin to Bitcoin (e.g., ETHBTC, SOLBTC), which is critical for determining how well an altcoin performs against the main cryptocurrency. This is especially important for investors who expect Bitcoin's price will continue to rise logarithmically and want to ensure that their altcoin holdings retain or expand in market capitalisation compared to Bitcoin. The indicator computes the average price of the chosen cryptocurrency relative to Bitcoin over the viewable portion of the chart. This average acts as a benchmark, indicating the normal value around which the altcoin's price moves. The primary objective of this indicator is to calculate and plot the divergence, which is the difference between the altcoin's current price relative to Bitcoin and its average value. This divergence can reveal probable overbought or oversold conditions, allowing traders to make better decisions about entry and exit points. The divergence is represented as a histogram, with bars representing the magnitude of the difference between the current and average prices. Positive values indicate that the altcoin is trading above its average value in comparison to Bitcoin, whereas negative values indicate that it is trading below its average. The indicator automatically adjusts to the chart's visible range, ensuring that the average price and divergence are always calculated using the most relevant data. This makes the indicator extremely sensitive to changes in the chart view and market conditions. How to Use: A significant positive divergence may imply that the cryptocurrency is overbought in comparison to Bitcoin and is headed for a correction. A significant negative divergence, on the other hand, may indicate that the cryptocurrency has been oversold and is cheap in comparison to Bitcoin. Tracking how an altcoin's price deviates from its average relative to Bitcoin can provide insights about the market's opinion towards that altcoin. Persistent positive divergence may suggest high market confidence, whilst constant negative divergence may imply a lack of interest or eroding fundamentals. Use divergence data to better time your trades, either by entering when a cryptocurrency is discounted in comparison to its average (negative divergence) or departing when it is overpriced (positive divergence). This allows you to capture value as the price returns to its mean. Ideal For: Cryptocurrency Traders who want to understand how altcoins are performing relative to Bitcoin rather than just against fiat currencies. Long-term Investors looking to ensure their altcoin investments are maintaining or growing their value relative to Bitcoin. Market Analysts interested in identifying potential reversals or continuations in altcoin prices based on divergence from their average value relative to Bitcoin.
Pine Script® göstergesi
YavuzAkbay tarafından
1
Ethereum ETF Tracker (EET)Get all the information you need about all the different Ethereum ETF. With the Ethereum ETF Tracker, you can observe all possible Ethereum ETF data: ETF name. Ticker. Price. Volume. Share of total ETF volume. Fees. Exchange. Custodian. At the bottom of the table, you'll find the ETHE Premium (and ETH per Share), and day's total volume. In addition, you can see the volume for the different Exchanges, as well as for the different Custodians. If you don't want to display these lines to save space, you can uncheck "Show Additional Data" in the indicator settings. The Idea The goal is to provide the community with a tool for tracking all Ethereum ETF data in a synthesized way, directly in your TradingView chart. How to Use Simply read the information in the table. You can hover above the Fees and Exchanges cells for more details. The table takes space on the chart, you can remove the extra lines by unchecking "Show Additional Data" in the indicator settings or reduce text size by changing the "Table Text Size" parameter. Aggregate volume can be displayed directly on the graph (this volume can be displayed on any asset, such as Ethereum itself). The display can be disabled in the settings.
Pine Script® göstergesi
Blockunity tarafından
Multi ETH Rolling APY Calculator [presentTrading]This one is for SEC paves way for Ethereum ETFs in boost for crypto! █ Introduction and How it is Different The "Multi ETH Rolling APY Calculator" is a sophisticated Pine Script tool designed to analyze the annualized difference between Ethereum (ETH) spot and futures prices. This tool is essential for identifying arbitrage opportunities and assessing market sentiment, offering traders invaluable insights into market dynamics. By calculating the premium or discount of futures contracts relative to the spot price and annualizing this figure based on the time until each contract's expiration, the Multi ETH Rolling APY Calculator provides a clear view of potential profit margins and market trends. Unlike traditional trading indicators that focus solely on price movements or technical patterns, this calculator delves deeper into the futures market, providing a dual-purpose tool. It not only helps in spotting arbitrage opportunities but also serves as a gauge for the emotional state of the market, thereby offering a more comprehensive analysis of market conditions. This dual functionality sets it apart, making it a must-have for traders looking to navigate the volatile cryptocurrency trading landscape effectively. Historical backtesting has revealed that Bitcoin's Rolling APY can serve as a robust indicator of market sentiment: - Below 0%: Often indicates panic or 'end-of-world' scenarios. - 0-5%: Signifies extreme market fear. - 5-10%: Reflects a calm market environment. - 10-15%: Suggests a moderately warm market. - 15-20%: Indicates an overheated market. - **Above 20%: Signals FOMO (fear of missing out). █ Strategy, How it Works: Detailed Explanation The Multi ETH Rolling APY Calculator employs a systematic approach to derive its insights. The process is broken down into several steps, each contributing to the overall analysis: 🔶 Data Fetching: The script first fetches the necessary data, including the closing prices of Ethereum's spot market and selected futures contracts. These futures contracts are typically set to expire at different dates, providing a broad perspective on market expectations over time. 🔶 Time and Expiration: The tool takes into account the current time and the expiration dates of the futures contracts. This helps in calculating the number of days remaining until each contract's expiration. 🔶 Premium Calculations: The premium or discount of each futures contract relative to the spot price is computed. This is done by subtracting the spot price from the futures price and then dividing the result by the spot price. This calculation gives a percentage that represents the premium or discount. 🔶 Annualized Percentage Yield (APY) Calculations: The calculated premium or discount is then annualized based on the number of days remaining until the contract's expiration. This involves multiplying the premium or discount by the factor (365 / days remaining) to annualize the figure. If the user chooses not to annualize the numbers, this step is skipped. 🔶 Plotting Results: The annualized yields are then plotted on a chart, allowing traders to visualize the potential returns from different futures contracts. The plots are color-coded for easy differentiation and quick analysis. By following this structured approach, the Multi ETH Rolling APY Calculator provides traders with clear, actionable insights into market dynamics and potential arbitrage opportunities. █ Trade Direction While this tool does not provide direct trading signals, it informs traders about potential arbitrage opportunities and the prevailing market sentiment. Traders can leverage this data to make strategic decisions, aligning long or short positions with the anticipated market movements and arbitrage conditions. █ Usage By inputting specific parameters related to their market analysis, traders can monitor discrepancies in Bitcoin’s pricing across different timelines, which is especially beneficial for those involved in derivatives trading, arbitrage, and sentiment analysis. █ Default Settings - Resolution: Controls the frequency of data (default is daily). - Show numbers in annual: Determines whether APY is displayed on an annual basis. - Base Symbol and Future Symbols: Specify the spot and futures markets for analysis.
Pine Script® göstergesi
PresentTrading tarafından
ETH Long/Short Ratio BITFINEX - (ALPHRACTAL)Indicator Description: ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) The ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) indicator provides a detailed analysis of Ethereum (ETH) long and short positions in USD and USDT on the Bitfinex exchange. This indicator is ideal for traders who want to monitor market behavior and better understand the relationship between long and short positions. Features: USD and USDT Long/Short Ratio: Calculates and displays the ratio between long and short ETH positions in USD and USDT. Helps identify market trends and the relative strength between buyers and sellers. Color Configuration: Allows customization of chart colors for clear and distinct visualization of USD and USDT ratios. Uses colors with adjustable transparency to enhance chart visibility. Label Display: Option to show or hide labels indicating the type of ratio (USD or USDT) at the latest chart value. Labels are useful for quickly identifying the visualized ratio. Display Control: Option to enable or disable the display of individual USD and USDT ratio charts. Flexibility to view only the relevant data for your analysis. How to Use: Add the indicator to your chart to visualize the long/short ratios of ETH in USD and USDT. Adjust colors and transparency as per your preference for better visual distinction. Use the option to show or hide labels for quick identification of the data. Analyze the relationship between long and short positions to make informed trading decisions, observing market buying and selling trends. Example Use Cases: Market Sentiment Analysis: An increase in the Long/Short ratio may indicate bullish sentiment among traders, while a decrease may indicate bearish sentiment. Identifying Opportunities: Significant discrepancies between USD and USDT ratios may signal arbitrage opportunities or alert to significant market movements. This indicator is a powerful tool for Ethereum traders who want a deeper understanding of market behavior and the dynamics of long and short positions on Bitfinex. Add the ETH Long/Short Ratio BITFINEX - (ALPHRACTAL) to your technical analysis toolkit and gain an edge in your trading strategy.
Pine Script® göstergesi
joaowedsonf tarafından
Heikin Ashi RSI + OTT [Erebor]Relative Strength Index (RSI) The Relative Strength Index (RSI) is a popular momentum oscillator used in technical analysis to measure the speed and change of price movements. Developed by J. Welles Wilder, the RSI is calculated using the average gains and losses over a specified period, typically 14 days. Here's how it works: Description and Calculation: 1. Average Gain and Average Loss Calculation: - Calculate the average gain and average loss over the chosen period (e.g., 14 days). - The average gain is the sum of gains divided by the period, and the average loss is the sum of losses divided by the period. 2. Relative Strength (RS) Calculation: - The relative strength is the ratio of average gain to average loss. The RSI oscillates between 0 and 100. Traditionally, an RSI above 70 indicates overbought conditions, suggesting a potential sell signal, while an RSI below 30 suggests oversold conditions, indicating a potential buy signal. Pros of RSI: - Identifying Overbought and Oversold Conditions: RSI helps traders identify potential reversal points in the market due to overbought or oversold conditions. - Confirmation Tool: RSI can be used in conjunction with other technical indicators or chart patterns to confirm signals, enhancing the reliability of trading decisions. - Versatility: RSI can be applied to various timeframes, from intraday to long-term charts, making it adaptable to different trading styles. Cons of RSI: - Whipsaws: In ranging markets, RSI can generate false signals, leading to whipsaws (rapid price movements followed by a reversal). - Not Always Accurate: RSI may give false signals, especially in strongly trending markets where overbought or oversold conditions persist for extended periods. - Subjectivity: Interpretation of RSI levels (e.g., 70 for overbought, 30 for oversold) is somewhat subjective and can vary depending on market conditions and individual preferences. Checking RSIs in Different Periods: Traders often use multiple timeframes to analyze RSI for a more comprehensive view: - Fast RSI (e.g., 8-period): Provides more sensitive signals, suitable for short-term trading and quick decision-making. - Slow RSI (e.g., 32-period): Offers a smoother representation of price movements, useful for identifying longer-term trends and reducing noise. By comparing RSI readings across different periods, traders can gain insights into the momentum and strength of price movements over various timeframes, helping them make more informed trading decisions. Additionally, divergence between fast and slow RSI readings may signal potential trend reversals or continuation patterns. Heikin Ashi Candles Let's consider a modification to the traditional “Heikin Ashi Candles” where we introduce a new parameter: the period of calculation. The traditional HA candles are derived from the open 01, high 00 low 00, and close 00 prices of the underlying asset. Now, let's introduce a new parameter, period, which will determine how many periods are considered in the calculation of the HA candles. This period parameter will affect the smoothing and responsiveness of the resulting candles. In this modification, instead of considering just the current period, we're averaging or aggregating the prices over a specified number of periods . This will result in candles that reflect a longer-term trend or sentiment, depending on the chosen period value. For example, if period is set to 1, it would essentially be the same as traditional Heikin Ashi candles. However, if period is set to a higher value, say 5, each candle will represent the average price movement over the last 5 periods, providing a smoother representation of the trend but potentially with delayed signals compared to lower period values. Traders can adjust the period parameter based on their trading style, the timeframe they're analyzing, and the level of smoothing or responsiveness they prefer in their candlestick patterns. Optimized Trend Tracker The "Optimized Trend Tracker" is a proprietary trading indicator developed by TradingView user ANIL ÖZEKŞİ. It is designed to identify and track trends in financial markets efficiently. The indicator attempts to smooth out price fluctuations and provide clear signals for trend direction. The Optimized Trend Tracker uses a combination of moving averages and adaptive filters to detect trends. It aims to reduce lag and noise typically associated with traditional moving averages, thereby providing more timely and accurate signals. Some of the key features and applications of the OTT include: • Trend Identification: The indicator helps traders identify the direction of the prevailing trend in a market. It distinguishes between uptrends, downtrends, and sideways consolidations. • Entry and Exit Signals: The OTT generates buy and sell signals based on crossovers and direction changes of the trend. Traders can use these signals to time their entries and exits in the market. • Trend Strength: It also provides insights into the strength of the trend by analyzing the slope and momentum of price movements. This information can help traders assess the conviction behind the trend and adjust their trading strategies accordingly. • Filter Noise: By employing adaptive filters, the indicator aims to filter out market noise and false signals, thereby enhancing the reliability of trend identification. • Customization: Traders can customize the parameters of the OTT to suit their specific trading preferences and market conditions. This flexibility allows for adaptation to different timeframes and asset classes. Overall, the OTT can be a valuable tool for traders seeking to capitalize on trending market conditions while minimizing false signals and noise. However, like any trading indicator, it is essential to combine its signals with other forms of analysis and risk management strategies for optimal results. Additionally, traders should thoroughly back-test the indicator and practice using it in a demo environment before applying it to live trading. The following types of moving average have been included: "SMA", "EMA", "SMMA (RMA)", "WMA", "VWMA", "HMA", "KAMA", "LSMA", "TRAMA", "VAR", "DEMA", "ZLEMA", "TSF", "WWMA". Thanks to the authors. Thank you for your indicator “Optimized Trend Tracker”. © kivancozbilgic Thank you for your programming language, indicators and strategies. © TradingView Kind regards. © Erebor_GIT
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Erebor_GIT tarafından
6
Blockcircle Hard Forks & HalvingsThe Hard Forks & Halvings indicator simply displays the dates of system wide network upgrades being completed for Bitcoin and Ethereum. Those upgrades are called hard forks and halvings. In the screenshot you will see that March 13 marked for the system wide Ethereum network upgrade called "ETH Dencun", it is marked in blue. HOW IT WORKS? For example: Bitcoin Halvings: Nov 28, 2012, Jul 9, 2016, May 11, 2020, etc.. Bitcoin Hard Forks: Aug 2015, Feb 2016, Mar 2016, Aug 2017, etc.. Ethereum Hard Forks: Jul 30, 2015, Mar 14, 2016, Mar 13, 2024, etc... It's conveniently an indicator so it allows you to overlay it on top of any price chart, e.g. BTC/USD, ETH/USD, ARB/USD, MATIC/USD, OP/USD, RONIN/USD, STRK/USD, etc...so you can measure the exact impact each individual significant event had on the underlying asset price. HOW TO USE IT? You can apply this to examine price impact on competing Layer 1s and complimentary and key beneficiary Layer 2s like ARB/OP/MATIC/STRK, which are worth monitoring closely in light of the recent Ethereum Hard Fork Dencun Upgrade and Bitcoin Halving on April 18-19. WHAT MAKES IT' USEFUL AND ORIGINAL? I could not find an indicator that does anything remotely close to this, so decided to build it as it's so useful to track these key dates. You can plan ahead! One of the key benefits is a sharp reduction in Layer 2 transaction processing fees, and will lay the ground work required for "Data Blobs", think of it as a form of transaction optimization to improve scalability for the entire Ethereum ecosystem. This will strongly accelerate staking and retaking efforts. This indicator has already helped so much in being to forecast that we were going to experience a bit of a pull back post Dencun upgrade, because historically, we've generally reverted back to the mean post upgrade. If you have any questions about it, please post it them! Thank you
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blockcircle tarafından