Mutitimeftame — Indicators and Strategies — PulseWire

Crypto Market RSI Heatmap [BigBeluga]🔵 OVERVIEW The Crypto Market RSI Heatmap is a comprehensive, institutional-grade sector momentum matrix built for PulseWire. It consolidates relative strength metrics for up to 20 cross-sectional crypto assets into a single, highly readable multi-group pane. Instead of forcing you to open dozens of browser tabs or flip back and forth between charts, this system runs concurrent structural background queries to map real-time market overbought expansions and oversold depressions using an advanced, color-gradient visual framework. 🔵 FEATURES The indicator tracks cross-asset momentum cycles through an isolated data processing engine: 1 — Multi-Asset Matrix Architecture Modular Asset Grouping: Assets are automatically split into 4 distinct structural sectors (Group A through Group D). Each section handles up to 5 completely customizable tickers, allowing you to organize setups by Layer 1s, DeFi, Memes, or Major pairs. Independent Timeframe Anchors: Every group has an isolated execution timeframe filter ( Timeframe ). This allows you to monitor short-term scalping momentum in one sector while simultaneously tracking macroscopic daily trend structures in another. Dynamic Highlight Tracking: The background matrix scans the active workspace. The exact asset loaded on your current open chart is highlighted with a custom accent marker ( Current Chart Asset Highlight ) so you never lose your visual anchor. 2 — Momentum Filters & Statistical Computations Flexible Core Oscillators: The engine isn't limited to standard RSI calculations. Users can instantly toggle between a classic Relative Strength Index, Money Flow Index (MFI) to capture volume distribution, or a fast-response Stochastic RSI. Group Average Horizon Lines: Dotted real-time horizontal baselines calculate the mean historical mathematical score of each active group, providing an instant look at overall sector health. Real-Time Cluster Stats: A live sub-label maps out the active average, minimum, and maximum value points for every cluster directly across the base of the indicator workspace. // 3-Point Color Gradient Engine & Highlighting Mechanism color dynamicCoinColor = colorMidYel if coinRSI >= 50.0 dynamicCoinColor := color.from_gradient(coinRSI, 50.0, 75.0, colorMidYel, colorMaxRed) else dynamicCoinColor := color.from_gradient(coinRSI, 25.0, 50.0, colorMaxGrn, colorMidYel) bool isActiveChartAsset = str.contains(str.split(symbol, ":").last(), syminfo.ticker) if isActiveChartAsset dynamicCoinColor := colorActive 🔵 HOW TO USE Using the system to gauge sector rotation requires a systematic analysis flow: Evaluating Sector Divergences: Monitor the separate group structures to identify relative market leaders and laggards. When Group A’s average baseline pushes deeply into the upper red expansion zone while Group B remains pinned inside the lower green oversold region, money is explicitly rotating out of one pocket and into the other. Tracking Active Momentum Continuations: Watch the trailing dashed historical lines to catch velocity expansions. Assets that break heavily out of the neutral 50 level and carry an institutional-grade gradient color shift provide high-probability breakout opportunities. Isolating Market Anomalies: Use the bottom statistics panel to hunt down structural outliers. If a major sector average is floating heavily at a overbought 75 reading, but an individual coin within that exact cluster is sitting at a depressed 35 minimum level, you have found an inefficiencies setup. 🔵 NOTES Why this implementation is unique: It completely replaces standard, bulky multi-pane monitor clusters by arranging up to 20 assets side-by-side using a clean, space-staggered horizontal charting layout. The dual-layer label framework overlays readable ticker identifiers directly on top of real-time momentum tracking nodes, preserving chart real estate without sacrificing readability. It bridges standard price-derived momentum structures with user-defined asset lists, creating a bespoke internal crypto index tracking workspace.

Indicator

by BigBeluga

Strategy

by buble_lab

Multi-Timeframe Confluence Indicator The Multi-Timeframe Confluence Indicator strategically combines multiple timeframes with technical tools like EMA and RSI to provide robust, high-probability trading signals. This combination is grounded in the principles of technical analysis and market behavior, tailored for traders across all styles—whether intraday, swing, or positional. 1. The Power of Multi-Timeframe Confluence Markets are influenced by participants operating on different time horizons: • Intraday traders act on short-term price fluctuations. • Swing traders focus on intermediate trends lasting days or weeks. • Position traders aim to capture multi-month or long-term trends. By aligning signals from a higher timeframe (macro trend) with a lower timeframe (micro trend), the indicator ensures that short-term entries are in harmony with the broader market direction. This multi-timeframe approach significantly reduces false signals caused by temporary market noise or counter-trend moves. Example: A bullish trend on the daily chart (higher timeframe) combined with a bullish RSI and EMA alignment on the 15-minute chart (lower timeframe) provides a stronger confirmation than relying on the 15-minute chart alone. 2. Why EMA and RSI Are Essential Each element of the indicator serves a unique role in ensuring accuracy and reliability: • EMA (Exponential Moving Average): • A dynamic trend filter that adjusts quickly to price changes. • On the higher timeframe, it establishes the overall trend direction (e.g., bullish or bearish). • On the lower timeframe, it identifies precise entry/exit zones within the trend. • RSI (Relative Strength Index): • Adds a momentum-based perspective, confirming whether a trend is backed by strong buying or selling pressure. • Ensures that signals occur in areas of strength (RSI > 55 for bullish signals, RSI < 45 for bearish signals), filtering out weak or uncertain price movements. By combining EMA (trend) and RSI (momentum), the indicator delivers confluence-based validation, where both trend and momentum align, making signals more reliable. 3. Cooldown Period for Signal Optimization Trading in choppy or sideways markets often leads to overtrading and false signals. The cooldown period ensures that once a signal is generated, subsequent signals are suppressed for a defined number of bars. This prevents traders from entering low-probability trades during indecisive market phases, improving overall signal quality. Example: After a bullish confluence signal, the cooldown period prevents a bearish signal from being triggered prematurely if the market enters a temporary retracement. 4. Use Cases Across Trading Styles This indicator caters to various trading styles, each benefiting from the confluence of timeframes and technical elements: • Intraday Trading: • Use a 1-hour chart as the higher timeframe and a 5-minute chart as the lower timeframe. • Benefit: Align intraday entries with the hourly trend for higher win rates. • Swing Trading: • Use a daily chart as the higher timeframe and a 1-hour chart as the lower timeframe. • Benefit: Capture multi-day moves while avoiding counter-trend entries. • Scalping: • Use a 30-minute chart as the higher timeframe and a 1-minute chart as the lower timeframe. • Benefit: Enhance scalping efficiency by ensuring short-term trades align with broader intraday trends. • Position Trading: • Use a weekly chart as the higher timeframe and a daily chart as the lower timeframe. • Benefit: Time long-term entries more precisely, maximizing profit potential. 5. Robustness Through Customization The indicator allows traders to customize: • Timeframes for higher and lower analysis. • EMA lengths for trend filtering. • RSI settings for momentum confirmation. • Cooldown periods to adapt to market volatility. This flexibility ensures that the indicator can be tailored to suit individual trading preferences, market conditions, and asset classes, making it a comprehensive tool for any trading strategy. Why This Mashup Stands Out The Multi-Timeframe Confluence Indicator is more than a sum of its parts. It leverages: • EMA’s ability to identify trends, combined with RSI’s insight into momentum, ensuring each signal is well-supported. • A multi-timeframe perspective that incorporates both macro and micro trends, filtering out noise and improving reliability. • A cooldown mechanism that prevents overtrading, a common pitfall for traders in volatile markets. This integration results in a powerful, adaptable indicator that provides actionable, high-confidence signals, reducing uncertainty and enhancing trading performance across all styles.

Indicator

by TradeTechanalysis

TDMACD Divergence Multi Timeframe and Alert [5ema]I reused some functions, made by (i believe that): @paaax: The table position function. @everget: The RSI divergence function. @QuantNomad: The function calculated value and array to show on table for input symbols. @ChaosTrader: The function calculated value TDMACD. ----- What to do? MACD divergence signal. The crossing of MACD and Signal line. The reversal of MACD. The reversal of Signal line. The screener follow 6 different timeframes. Set notification alert when signal appears. ----- How is it created? MACD line = fastMA - slowMA. Signal line = ta.ema(macd(), signalLength) Make function for pivot low & high point of MACD and price. Request.security that function for earch time frame. ----- How to use? Can be combined with many other indicators or candlestick patterns. Customize the input indicators to suit your strategy 1. MACD reversed: 2. Signal line reversed: 3. MACD Divergence : 4. MACD crossing Signal line: 5. Signal on Screener for multi time frame: Green ⦿: Buy. Red ⦿: Sell. Green 〇: Review Buy. Red 〇: Review Sell. ----- This indicator is for reference only, you need your own method and strategy. If you have any questions, please let me know in the comments.

Indicator

by vn5ema