Get started

Indicators and strategies

Danny Gee EMA Trend RibbonDanny Gee EMA Trend Ribbon - Multi-Timeframe Trend Analysis A sophisticated 9-EMA ribbon system designed to visualize trend strength and direction with precision. This indicator creates a dynamic color-coded ribbon that adapts to market conditions, making trend identification effortless. Key Features: 9 Customizable EMAs - Default periods: 8, 14, 20, 26, 32, 38, 44, 50, and 60 Intelligent Ribbon Coloring - Automatically displays bullish (green), bearish (red), or neutral (gray) based on EMA consensus Smoothing Control - Adjustable smoothing period (default 2) reduces noise and false signals Real-Time Trend Status - Live dashboard showing current trend state and EMA agreement count (e.g., "Bullish 8/9") Visual Clarity - Color-coded EMA lines with the 60 EMA highlighted for key support/resistance How It Works: The indicator analyzes the slope direction of all 9 EMAs. When 7 or more EMAs agree on direction, the ribbon displays a clear bullish or bearish color. This consensus-based approach helps filter out weak or conflicting trends, keeping you focused on high-probability setups. Best Used For: ✓ Identifying strong trending conditions ✓ Avoiding choppy, sideways markets ✓ Confirming trade direction with other indicators ✓ Multi-timeframe analysis (works on any chart timeframe) Customization Options: Adjust all EMA periods to match your trading style Customize ribbon colors for personal preference Toggle ribbon visibility on/off Modify smoothing sensitivity Perfect for swing traders, scalpers, and day traders looking for a clean, reliable trend filter that works across all markets - forex, crypto, stocks, and indices.
Pine Script® indicator
by DJG9911
Session HeatmapIntraday Seasonality Overview Analyzes historical patterns by time of day. Identifies when volatility, volume, and open interest changes tend to be highest or lowest. Features Multiple Metrics: TR (volatility), Volume, and Open Interest changes Flexible Grouping: View patterns by weekday or month to spot day-of-week or seasonal effects Heatmap Visualization: Blue (low) to Red (high) color scale for quick pattern recognition Percentile Mode: Reduces outlier impact by using 5th-95th percentile range Timezone Support: Display in UTC alongside your local time Metrics Explained TR: Volatility - when markets move most Volume: Liquidity - when participation is highest OI Increase: When new positions are opened OI Decrease: When positions are closed OI Net: Net open interest change Usage Set your timezone and preferred slot size (30min/1H) Choose a date range (relative or custom) Select a metric to analyze Use "Group By" to see weekday or monthly patterns Switch to Percentile color scale if outliers dominate Notes Chart timeframe should be equal to or smaller than Slot Size OI metrics require Binance Perpetual symbols DST is not automatically adjusted; consider seasonal shifts for US/EU sessions
Pine Script® indicator
by ketan_kee
Probability-Based Adaptive Detection🙏🏻 PBAD (Probability-Based Adaptive Detection) : adaptive control tool for outliers || novelty detection, made for worst case data & processes, for the highest time complexity O(n^2) compared with the alternatives (would be explained in a sec). Thresholds are completely data driven and axiomatic, no need in provided hyperparameters, are not learned or optimized. The method accepts multiple weights, e.g. both temporal and volatility weights. Method briefly explained (I can go deeper if any1 asks explicitly): Performs weighted KDE on initial input data, finds KDE global maximum (mode), creates new “residuals” dataset by centering initial data around this value; Performs weighted KDE on residuals, uses sigmoid based probability mass targets with increasing probability coverage to construct a set of non-disjoint High Density Intervals (also called HDR, HPD in Bayesian terms); Uses these intervals to calculate analogs of centralized & standardized moments; Uses these ^^ moments to construct a set of control thresholds. The scheme used in PBAD is not only based on a central threshold, or on neighboring ones, it utilizes all previous thresholds, gaining more information. ... The most important part is to understand whether you really need PBAD. Because even tho it seems to be the best one given highest algocomplexity, irl it would work worse in cases when it’s not required by your data. Here’s the menu (aka taxonomy omg) of methods you can use that would let you make the right choice: Moment-Based Adaptive Detection (MBAD) : Norm: L2 Time complexity: original O(n), successfully reduced to O(1) in online version Use case: default, general purpose Based on: method of moments (powers of residuals from mean) Thresholds architecture: centralized Quantile-Based Adaptive Detection (QBAD): Norm: L1 Time complexity: O(nlogn) Use case: either bad data Or process instability Based on: quantile moments (dyadic percentiles of residuals from median) Thresholds architecture: chained/recursive/sequential Probability-Based Adaptive Detection (PBAD): Norm: L0 Time complexity: O(n^2) Use case: both bad data And process instability Based on: probability moments (target probability masses of residuals from KDE mode) Thresholds architecture: decentralized (for lack of a better name xd, the idea is that these thresholds gain information from the all other threshold and are Not exclusively based on the central or neighboring thresholds) ... Examples of true use cases: ^^ an appropriate financial instrument to use PBAD ^^ and another one ... Additional details about how to use it: Keep the student5 kernel, it’s the best you can do. I added others mostly for comparisons and if you want to use the tool Not for its primary purpose (on a fine data) “Calculate for N bars” and “Starting at bar N” options allow to reduce calculation period only on the N number of last bars or next bars from a chosen one. It's vital, because calculations here are heavy Keep plotting offset at 1 (allows to visually compare current bar with the previous threshold values). This is the way it should be done on price data. HLC3 is the optimal source input, unless you want to use your own better one point estimate of each datapoint (in the best case done by using PBAD itself on OHLC+ values). In essence it should be used just like MBAD or QBAD, fade/push extensions and limit, fade/push/skip deviations & basis, or other strategies of your. Again, the only reason for 3 methods to exist is to be chosen for according data characteristics. Btw: This is the initial version, I don’t consider it perfected tbh, even tho it works as expected, however this method is very situational anyways. In this script KDE function is modified to ensure the outcoming probabilities Do sum up to 1. I didn’t do this normalization in Weighted KDE Mode script , but there it’s not required since we just need a KDE global max. see ya ∞
Pine Script® indicator
by gorx1
1
Box Indicator - Auto Draw Previous Day's - High / Midline / LowThis indicator draws a box around the previous day’s high and low, calculates the midline, and displays them on the current day’s chart. It helps visualize key support/resistance levels from the prior trading day. This script gives you a static reference box from the prior day’s trading range, including a midpoint. It’s useful for spotting potential reversal zones, breakout levels, or intraday targets based on yesterday’s price action.
Pine Script® indicator
by alexh1166
Selected Days Indicator V3-TrDoes the stock drop every Wednesday? Do March months always move similarly? Does the 1st week of the month behave differently? Do you ever say "it always makes this move in these months"? Don't you want to see more clearly whether it actually makes this move or not? Don't you want to see and test periodically repeating price patterns? Hisse her Çarşamba düşüyor mu? Mart ayları hep benzer mi hareket ediyor? Ayın 1. haftası farklı mı davranıyor? Bazen "bu aylarda hep bu hareketi yapıyor" dediğiniz oluyor mu? Gerçekten de bu hareketi yapıp yapmadığını daha net görmek istemez misiniz? Periyodik tekrarlayan fiyat kalıplarını görmek ve test etmek istemiyor musunuz? 1. Problem Some stocks or crypto assets exhibit systematic behaviors on certain days, weeks, or months. But it's hard to see - everything is mixed together on the chart. This indicator isolates the days/weeks/months you want and shows only them. Hides everything else. 2. How It Works Three-layer filter: Day (Monday, Tuesday...), Week (1st, 2nd, 3rd week of the month), Month (January, February...). Select what you want, let the rest disappear. Example: Show only Thursdays of March-June-September. Or compare every 1st week of the month. View as candlestick, line, or column chart. 3. What's It Good For? Test "end-of-month effect". Find "day-of-the-week anomaly". Analyze crypto volatility by days. See seasonality in commodities. Discover patterns specific to your own strategy. Past data doesn't guarantee the future but provides statistical advantage.
Pine Script® indicator
by ExperiMentalist
Box Theory StrategyHere is an explanation of the Box Theory trading strategy. The Core Philosophy This strategy is based on the idea that the market is a battle between buyers and sellers, and that these groups often defend the same price levels they used previously. Instead of trying to predict every move, this method focuses on trading only at the "extremes" where the probabilities are highest, while avoiding the middle of the chart where price action is random. 1. The Setup: Drawing the Box To use this strategy, you must define the "playing field" for the day before you take any trades. Top of the Box: Draw a line at the Previous Day’s High. Bottom of the Box: Draw a line at the Previous Day’s Low. Center Line: Draw a line roughly in the middle of these two points. This box represents the established range where the market recently found value. 2. The Three Zones & Rules Once the box is drawn, the chart is divided into three zones. Each zone dictates a specific action. Zone 1: The Top (Resistance / Sell Zone) What it represents: This is where sellers previously stepped in and pushed the price down. It is a known area of supply. The Rule: NO BUYING. If the price rallies to this level, you should look for Short/Sell opportunities. Why? Buying here means purchasing at a price that was previously rejected. The probability of a reversal (price going down) is high. Zone 2: The Bottom (Support / Buy Zone) What it represents: This is where buyers previously stepped in and pushed the price up. It is a known area of demand. The Rule: NO SELLING. If the price drops to this level, you should look for Long/Buy opportunities. Why? Selling here means shorting into support. The probability of a bounce (price going up) is high. Zone 3: The Middle (Indecision Zone) What it represents: This is the area of noise and confusion. Neither buyers nor sellers have clear control here. The Rule: DO NOT TRADE. Why? In the middle of the range, the odds of the price going up or down are roughly 50/50. Trading here is considered gambling because you do not have a statistical edge. 3. Execution: How to Trade The Entry Short Setup: Wait for the price to touch or slightly pierce the Top of the Box. Enter a short position when you see the price failing to break out (e.g., leaving a wick and closing back inside the box). Long Setup: Wait for the price to touch or slightly pierce the Bottom of the Box. Enter a long position when you see the price failing to break down (e.g., bouncing off the level). Stop Loss (Risk Management) This strategy offers a very clear invalidation point. For Shorts: Place your Stop Loss just above the box. For Longs: Place your Stop Loss just below the box. Logic: If the price clearly breaks out of the box, the range is broken, and you want to exit the trade immediately with a small loss. Take Profit (Targets) First Target: The Center Line. This is a safe place to take some profit or move your stop loss to breakeven. Main Target: The opposite side of the box (e.g., if you sold at the top, target the bottom). 4. Handling Gaps (The "Cheater Box") If the market opens significantly higher or lower than the previous day's range (a large gap), the original box may be too far away to be useful. Adjustment: In this scenario, you can draw a new box using the highest and lowest price points of the current trading session so far. Once this new range is established, apply the same rules: Sell the high, Buy the low, and avoid the middle.
Pine Script® indicator
by Prospecttrades
Tails and WicksTails and Wicks 📊 A clean price action tool that spots strong wick rejection candles and draws semi-transparent colored boxes around their high-to-low range. 🔍 Boxes extend forward to highlight potential S/R zones – perfect for pinbars, hammers, shooting stars & indecision dojis! 🚀 Features: • 🟢 Bullish tails (long lower wick – default green) • 🔴 Bearish tails (long upper wick – default red) • 🟠 Indecision (both long wicks – default orange) • Independent toggles & custom colors 🎨 • Adjustable wick % threshold (default 60%) • Fixed or infinite right extension ➡️ • Limit recent zones per type (default 4) to keep charts tidy 🧹 • Pure visual – no text clutter (disable "Labels on price scale" in indicator Style tab if needed) Lightweight, customizable, and great for clean price action trading! 💹
Pine Script® indicator
by MichaelBalika
SHAP-Aligned BUY Signal (Daily, Edge-Triggered)Based on the XGBoost + SHAP interpretation report, I'll explain which indicators to monitor for buying NVO. However, I must emphasize that this model performed poorly (47.5% accuracy) and should NOT be used for actual trading! That said, here's what the model learned (for educational purposes): 📊 Top Indicators to Monitor for BUY Signals 1. Days_Since_Low (Most Important - 1.264) Direction: BULLISH ↑ Interpretation: Higher values → UP prediction What to monitor: Track how many days since the stock hit its recent low Buy signal: When the stock has been recovering for an extended period (e.g., 100+ days from low) Why it matters: The model learned that stocks in long-term recovery tend to continue rising 2. SMA_50 (50-day Moving Average) (0.413) Direction: BULLISH ↑ Interpretation: Higher absolute SMA_50 values → UP prediction What to monitor: The 50-day simple moving average price level Buy signal: When SMA_50 is at higher levels (e.g., above $80-90) Why it matters: Higher moving averages indicate stronger long-term trends 3. SMA_200 (200-day Moving Average) (0.274) Direction: BULLISH ↑ Interpretation: Higher SMA_200 → UP prediction What to monitor: The 200-day simple moving average Buy signal: When SMA_200 is trending upward and at elevated levels Why it matters: Long-term trend indicator; golden cross (SMA_50 > SMA_200) is traditionally bullish 4. BB_Width (Bollinger Band Width) (0.199) Direction: BULLISH ↑ Interpretation: WIDER Bollinger Bands → UP prediction What to monitor: The distance between upper and lower Bollinger Bands Buy signal: When BB_Width is expanding (increasing volatility often precedes trend moves) Why it matters: Widening bands can signal the start of a new trend 5. Price_SMA_50_Ratio (0.158) Direction: BULLISH ↑ Interpretation: When price is ABOVE the 50-day MA → UP prediction What to monitor: Current price ÷ SMA_50 Buy signal: When ratio > 1.0 (price is above the 50-day average) Why it matters: Price above moving averages indicates uptrend 6. Momentum_21D (21-day Momentum) (0.152) Direction: BULLISH ↑ Interpretation: Positive 21-day momentum → UP prediction What to monitor: 21-day rate of change Buy signal: When momentum is positive and increasing Why it matters: Positive momentum suggests continuation 7. Stoch_K (Stochastic Oscillator) (0.142) Direction: BULLISH ↑ Interpretation: Higher Stochastic K → UP prediction What to monitor: Stochastic oscillator (0-100 scale) Buy signal: When Stoch_K is rising from oversold (<20) or in mid-range (40-60) Why it matters: Measures momentum and overbought/oversold conditions
Pine Script® indicator
by yellowpierid
Timeframe Overlay 24HrDaily High–Low Box (00:00–23:59) This indicator highlights each trading day with a shaded box spanning from 00:00 to 23:59 (based on the selected timezone) and covering the day’s highest and lowest price. • Green box when the day closes above its open • Red box when the day closes below its open • Historical days are fully drawn for easy comparison • Current day box builds dynamically as new candles form Useful for visualising daily range, market bias, and intraday structure across all timeframes.
Pine Script® indicator
by Knotty0807
BTC - Bitcoin Strategic Dashboard by RM Title: BTC - Bitcoin Strategic Dashboard | RM Overview & Philosophy The Bitcoin Strategic Dashboard is a comprehensive analytics tool designed to provide deeper market context beyond simple price action. While a standard chart displays price history, this dashboard focuses on the structural health of the market. It aims to answer clearer questions: Is the asset statistically overextended? Is the current volatility compressed or expanding? How is Bitcoin currently correlating with traditional equity markets? This script aggregates key data points—Performance, Risk, Valuation, and Macro Correlations—into a single, organized table. It is designed to be a quiet, high-density reference tool that sits unobtrusively in the corner of your screen, helping to contextualize daily price movements without cluttering your workspace. Methodology & Module Breakdown The dashboard is divided into 5 strategic modules. Here is exactly how to read them, how they are calculated, and how to interpret the data. 1. PERFORMANCE This section answers: "Is Bitcoin actually beating the traditional market, and by how much?" BTC Return : The raw percentage growth of Bitcoin. Timeframes: 1-Year (Tactical Trend) and 4-Year (The Halving Cycle). Alpha (vs SPX / Gold): Meaning : "Alpha" measures true outperformance. It tells you how much better your capital worked in Bitcoin compared to the S&P 500 (Stocks) or Gold. Calculation : We use a Relative Growth Ratio. Instead of simple subtraction, we calculate the growth factor of BTC divided by the growth factor of the Benchmark. Interpretation : Green: Bitcoin is outperforming. It is the superior vehicle for capital. Red: Bitcoin is underperforming traditional assets (Opportunity Cost is high). 2. RISK PROFILE This section answers: "How dangerous is the market right now?" Drawdown (DD): Meaning : The percentage loss from the 1-Year High. Interpretation : Deep Drawdowns (e.g., > -50%) historically signal generational buying opportunities (Deep Red). Small Drawdowns (< -5%) signal we are near "Discovery Mode" (Blue/Green). Sharpe Ratio: Meaning : The industry standard for "Risk-Adjusted Return." It asks: "Is the profit worth the stress?" Timeframe : Annualized over 365 Days. Interpretation : > 1.0: Good. The return justifies the risk. > 2.0: Excellent. (Dark Green). < 0.0: Bad. You are taking risk for negative returns. Sortino Ratio: Meaning : Similar to Sharpe, but it only counts downside volatility as "risk." Bitcoin often rallies aggressively (Good Volatility); Sortino ignores the upside "risk" and focuses only on minimizing losses. Volatility (Vol) & Rank: Meaning : How violently the price is moving. Calculation : We compare the current 30-Day Volatility against the last 4 Years of volatility history (Rank 0-100). Interpretation (The Squeeze Strategy) : BLUE (Cold / <25%): Volatility is historically low. The market is "compressed." Big moves often follow these periods. RED (Hot / >75%): Volatility is extreme. High risk of mean reversion or panic. 3. VALUATION & MOMENTUM This section answers: "Is Bitcoin cheap or expensive?" Mayer Multiple (MM): Meaning: A "Godfather" of Bitcoin ratios. Calculation : Current Price divided by the 200-Day Moving Average. Interpretation : < 0.8 (Blue): Historically "Cheap." 1.0: Fair Value (Price = Trend). > 2.4 (Red): Speculative Bubble territory. RSI (Relative Strength Index): Timeframe : 14 Days. Interpretation : >70 suggests the market is overheated (Red). <30 suggests oversold conditions (Blue). Trend (ADX) : Meaning : The Average Directional Index measures the strength of a trend, not the direction. Interpretation : Values >25 (Green) indicate a strong trend is present. Values <20 (Gray) indicate a choppy/sideways market (no trend). vs 200W (Macro): Meaning : The distance to the 200-Week Moving Average. Interpretation : This line is historically the "Cycle Bottom" or "Absolute Support" for Bitcoin. Being close to it (or below it) is rare and often marks cycle lows. 4. MACRO CORRELATIONS This section answers: "Is Bitcoin moving on its own, or just following the Stock Market?" vs TradFi (SPX): Timeframe : 90-Day Correlation Coefficient. Interpretation : High Positive (Red): BTC is just acting like a tech stock. No "Safe Haven" status. Negative/Zero (Green): BTC is "decoupled." It is moving independently of Wall Street. vs DXY (US Dollar): Interpretation : Bitcoin usually moves inverse to the Dollar. Negative (Green): Normal healthy behavior. Positive (Red): Warning signal. If both DXY and BTC rise, something is breaking in the system. 5. HISTORICAL LEDGER A Year-by-Year breakdown of returns. Feature : You can toggle the comparison column in the settings to compare Bitcoin against either S&P 500 or Gold. Usage : Helps visualize the cyclical nature of returns (e.g., the 4-year cycle pattern of Green-Green-Green-Red). How to Read the Visuals (Heatmap) The dashboard uses a standardized Bloomberg-style heatmap to let you assess the market state in milliseconds: 🟢 Green: Profit / Good Performance / Positive Alpha. 🔴 Red: Loss / Overheating / High Risk. 🔵 Blue: "Cold" / Cheap / Low Volatility (Potential Buy Zones). 🟠 Orange: Warning / High Drawdown. ⚫ Gray/Black: Neutral or Fair Value. Settings & Customization Visuals: Change the text size (Tiny, Small, Normal) to fit your screen resolution. Modules: You can toggle individual sections on/off to save screen space. Calculation: Switch the Historical Benchmark between "S&P 500" and "Gold" depending on your thesis. Disclaimer This script is for research and educational purposes only. The metrics provided (Sharpe, Sortino, Mayer Multiple) are derived from historical data and do not guarantee future performance. "Cheap" (Low Mayer Multiple) does not mean the price cannot go lower. Always manage your own risk. Tags bitcoin, btc, bloomberg, terminal, dashboard, onchain, mayer multiple, sharpe ratio, volatility, alpha, risk management, Rob Maths
Pine Script® indicator
by Rob_Maths
Session ATR Progression Tracker📊 Session ATR Progression Tracker - SIYL Regression Trading Tool Track how much of your instrument's 7-day Average True Range (ATR) has been covered during the current trading session. This indicator is specifically designed for regression traders who follow the "Stay In Your Lane" (SIYL) methodology, helping you identify when the probability of mean reversion significantly increases. If you are interested in more on that check out Rod Casselli and tradersdevgroup.com. 🎯 Key Features: • Real-time ATR Coverage Percentage - See at a glance what percentage of the 7-day ATR has been covered in the current session • SIYL-Optimized Thresholds - See at a glance when the instrument has achieved 80% and 100% ATR coverage, the proven thresholds where mean reversion probability increases (customizable) • Flexible Session Modes: - Daily: Resets at calendar day change - Session: Uses exchange-defined trading sessions - Custom Session: Set your exact session start/end times (perfect for futures traders and international markets) • Visual Alerts - Color-coded display (gray → orange → red) and optional background highlighting • Repositionable Display - Choose from 9 screen positions to avoid chart clutter • Session Markers - Green triangles mark the start of each new session • Detailed Stats - View current range, ATR value, session high/low, and session status 💡 Why Use This Indicator? This tool is built around a proven concept: regression trading becomes significantly more effective once a session has achieved at least 80% of its 7-day ATR. At this threshold, the probability of price reverting to mean increases substantially, creating higher-probability trade setups for SIYL practitioners. Benefits for regression traders: - Identify optimal entry points when mean reversion probability is highest (≥80% ATR coverage) - Avoid premature regression entries before adequate range has been established - Recognize when daily moves have "earned their range" and are ripe for reversal - Time fade-the-move and counter-trend strategies with statistical backing - Improve win rates by trading only after proven probability thresholds are met ⚙️ Setup Instructions: 1. Add the indicator to your chart 2. Select your preferred "Reset Mode" (recommend "Custom Session" for futures/international markets) 3. If using Custom Session, enter your session times in 24-hour format (e.g., 0930-1600 for US stocks, 1700-1600 for CME futures) 4. Adjust alert thresholds if desired (default: 80% and 100% - proven SIYL thresholds) 5. Position the display where it's most visible on your chart 📈 Works Across All Markets: Stocks • Futures • Forex • Indices • Crypto • Commodities Perfect for regression traders, mean reversion specialists, and SIYL practitioners who want to trade with probability on their side by entering only after the session has "earned its range." --- Tip: For futures contracts with overnight sessions that span calendar days (like MES, MNQ, MYM), use "Custom Session" mode with your exchange's official session times for accurate tracking.
Pine Script® indicator
by jmaybe
[AlscapeLabs] HTF Candle Stack (Multi-Timeframe) Overview The HTF Candle Stack (Multi-TF) indicator is a powerful visualization tool designed to overlay high-timeframe (HTF) price action directly onto your current chart, independent of the chart's price scale. This gives traders a clear, aligned, and non-overlapping view of simultaneous price movements across customizable timeframes. By stacking the candles horizontally next to the chart's price action, the indicator allows for quick identification of multi-timeframe correlation, trend confluence, and key levels without switching chart timeframes. Key Features 6 Independent Stacks: Configure up to 6 separate timeframes (e.g., 5m, 15m, 1H, 4H, Daily, Weekly) to view the complete market fractals from micro to macro. Price-Aligned Visualization : All HTF candle stacks are perfectly aligned with the main chart's vertical price axis Replay Mode Safe : Includes dedicated logic to prevent "duplicate candles" during Bar Replay, ensuring accurate backtesting and historical analysis. Toggleable Stacks : Each stack can be individually enabled or disabled via input settings Dynamic Spacing : The distance between active stacks is automatically calculated and adjusted based on the visibility of the preceding stack. Settings Guide Stack Configuration (1 - 6) Each of the six stacks has identical controls: Show/Hide : Enable or disable this specific stack. Timeframe : The specific HTF to display (e.g., "60" for 1 Hour, "D" for Daily). [*} Count : How many candles to show in this stack (Current Active Candle + Past Closed Candles). Tip: Use higher counts (10-12) for lower TFs (Stack 1-2) and lower counts (2-4) for higher TFs (Stack 5-6) Candle Color Controls global coloring Bullish / Bearish : Customize the body colors. Wick : Separate control for wick color and transparency Layout Distance from Chart : How far (in bars) to the right the first stack begins Space between Stacks : The gap (in bars) between each active stack. Candle Width : The thickness of the HTF candles. Labels Displays a time-frame next to the active (live) candle in each stack Show TF Labels : Enable or disable labels through all stacks Text Color : Label text color Background : Label background color Style : Label position (Left, Down) Size : Label text size (Tiny, Small, Normal, Large, Huge) Developed by AlscapeLabs
Pine Script® indicator
by AlscapeLabs
X-Trend Macro Command CenterX-Trend Macro Command Center (MCC) | Institutional Grade Dashboard 📝 Description Body The Invisible Engine of the Market Revealed. Traders often focus solely on Price Action, ignoring the massive underwater currents that actually drive trends: Global Liquidity, Inflation, and Central Bank Policy. We created X-Trend Macro Command Center (MCC) to solve this problem. This is not just an indicator. It is a fundamental heads-up display that bridges the gap between technical charts and macroeconomic reality. 💡 The Idea & Philosophy Markets don't move in a vacuum. Bull runs are fueled by M2 Money Supply expansion and negative real yields. Crashes are triggered by liquidity crunches and aggressive rate hikes. X-Trend MCC was built to give retail traders the same "Macro Awareness" that institutional desks possess. It aggregates fragmented economic data from Federal Reserve databases (FRED) directly onto your chart in real-time. 🚀 Application & Logic This tool is designed for Trend Traders, Crypto Investors, and Macro Analysts. Identify the Regime: Instantly see if the environment is "RISK ON" (High Liquidity, Low Real Rates) or "RISK OFF" (Monetary Tightening). Validate the Trend: Don't buy the dip if Liquidity (M2) is crashing. Don't short the rally if Real Yields are negative. Multi-Region Analysis: Switch instantly between economic powerhouses (US, China, Japan) to see where the capital is flowing. 📊 Dashboard Metrics Explained Every row in the Command Center tells a specific story about the economy: Interest Rate: The "Gravity" of finance. Higher rates weigh down risk assets (Stocks/Crypto). Inflation (YoY): The erosion of purchasing power. We calculate this dynamically based on CPI data. Real Yield (The "Golden" Metric): Calculated as Interest Rate - Inflation. Green: Real Yield is low/negative. Cash is trash, assets fly. Red: Real Yield is high. Cash is King, assets struggle. US Debt & GDP: Fiscal health indicators formatted in Trillions ($T). Watch the Debt-to-GDP ratio—if it spikes >120%, expect currency debasement. M2 Money Supply: The fuel tank of the market. Tracks the total amount of money in circulation. ↗ Trend: Liquidity is entering the system (Bullish). ↘ Trend: Liquidity is drying up (Bearish). 🧩 The X-Trend Ecosystem X-Trend MCC is just the tip of the iceberg. This module is part of the larger X-Trend Project — a comprehensive suite of algorithmic tools being developed to quantify market chaos. While our Price Action algorithms (Lite/Pro/Ultra) handle the Micro, the MCC handles the Macro. Technical Note: Data Sources: Direct connection to FRED (Federal Reserve Economic Data). Zero Repainting: Historical data is requested strictly using closed bars to ensure accuracy. Open Source: We believe in transparency. The code is open for study under MPL 2.0. Build by Dev0880 | X-Trend © 2025
Pine Script® indicator
by Dev0880
EMA 8 / 20 / 200Created to easily use the 8/20/200 strategy. This indicator is designed to give a clear, multi-timeframe view of trend, momentum, and structure using three exponential moving averages. 1. Trend direction (EMA 200 – pink) The 200 EMA acts as the long-term trend filter. Price above the 200 EMA suggests a bullish market bias. Price below the 200 EMA suggests a bearish market bias. Many traders avoid taking trades against this higher-timeframe direction. 2. Momentum and trade bias (EMA 20 – blue) The 20 EMA reflects short-term momentum. When price respects the 20 EMA in an uptrend, pullbacks often provide continuation entries. In downtrends, the 20 EMA frequently acts as dynamic resistance. 3. Entry timing (EMA 8 – yellow) The 8 EMA is a fast reaction line used for precise timing. Crosses of the 8 EMA over the 20 EMA can signal momentum shifts. Strong trends often show price holding above (or below) the 8 EMA during impulse moves. 4. Confluence and trade filtering The indicator works best when the EMAs are aligned: Bullish alignment: EMA 8 > EMA 20 > EMA 200 Bearish alignment: EMA 8 < EMA 20 < EMA 200 Misaligned EMAs usually indicate consolidation or low-probability conditions. 5. Risk management context EMAs can act as dynamic support and resistance: Stops are often placed beyond the 20 EMA or 200 EMA depending on trade horizon. Loss of EMA structure is a warning sign that the trend may be weakening. In short, the indicator is a trend-first, momentum-second framework that helps you decide when to trade, in which direction, and when to stay out.
Pine Script® indicator
by Knotty0807