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Triple Sine Oscillator (TSO) — Squeeze EditionTriple Sine Oscillator (TSO) – Squeeze Edition A unique sine-cubed momentum oscillator that identifies cyclic exhaustion zones combined with real-time liquidity stress detection (MLO proxy via credit spreads + VIX). Designed for both normal stocks and heavily shorted names (GME/AMC-style). Features: • Overbought/oversold reversals • Bullish/bearish divergence • "Squeeze Favorable" background + amplified alerts • Real-time dashboard with trading advice • Special 🚀 SQUEEZE and 💎 MEGA alerts when conditions align
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Timmy741 tarafından
ES-VIX Daily Price Bands - Inner and OuterES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Low + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily High - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's extremes. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's low Lower band (red) contracts from the current day's high Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Outer upper band (green) at 150% of expected move Outer lower band (red) at 150% of expected move Shaded zone between bands for visual clarity Information table displaying: Current ES price and VIX level Running daily high and low Current upper and lower band values
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alanjeremiebarbe tarafından
Universal Heatmap - QuantSyUniversal Heatmap - QuantSy A sophisticated market valuation tool that synthesizes multiple on-chain and technical metrics into a single, intuitive heat-mapped visualization. Provides probabilistic assessment of market extremes through dynamic gradient coloring. What it does: Analyzes various dimensions of market behavior including value metrics, profit/loss ratios, momentum signals, and risk-adjusted performance. Converts complex data into a simple visual spectrum where blue indicates undervalued conditions and red signals overvalued territory. Best for: Identifying potential reversal zones Gauging relative market positioning Risk management and allocation decisions Multi-timeframe valuation analysis The percentile-based color scaling adapts to each asset's unique history, making it applicable across different markets and timeframes. Get an at-a-glance read on where current conditions stand relative to historical norms. **⚠️ Disclaimer** Educational tool only - does not constitute investment advice. The developer assumes no liability for any trading profits or losses incurred through the use/misuse of this indicator. This indicator does not include any features related to interest, leverage, or gambling. Users are fully responsible for making sure their assets and trading practices align with Islamic guidelines.
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QuantSy tarafından
PST Super Simple System v2.5+PinkSlips Trading was built to give traders real structure, real tools, and real support — without the confusion or false promises you find everywhere else. Everything we provide is focused on helping you trade with clarity and confidence. Professional-Grade Indicators We develop custom TradingView indicators designed to simplify your decision-making. Clean, reliable, and built to support consistent trading. Daily Live Trading Sessions Members can watch the market with us in real time. We walk through bias, key levels, trade execution, and risk management so you can learn the process step-by-step. Personal Guidance and Trade Planning Whether you need help building a strategy, fixing your discipline, or understanding your data, we offer direct support and tailored plans to help you improve faster. A Focused, Results-Driven Community PinkSlips Trading is built for traders who want to get better — not for hype. You’ll be surrounded by people who take trading seriously and are committed to long-term growth.
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Shoebug tarafından
Institutional Moving Averages (50/100/200)A streamlined Moving Average suite designed for institutional-style trend analysis. This indicator plots the three most critical trend baselines used by traders and funds: 50 MA (Blue): Short-term trend and momentum. 100 MA (Orange): Medium-term support/resistance. 200 MA (Purple): Long-term trend definition (Bull/Bear line). Features: Fully Customizable: Switch between SMA, EMA, WMA, RMA, or HMA. Clean Visuals: Optimized colors for dark and light themes. Native Performance: Uses standard TradingView plotting for maximum speed and compatibility with the "Style" tab visibility settings.
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Venu_7_ tarafından
Real Relative Strength Indicator### What is RRS (Real Relative Strength)? RRS is a volatility-normalized relative strength indicator that shows you – in real time – whether your stock, crypto, or any asset is genuinely beating or lagging the broader market after adjusting for risk and volatility. Unlike the classic “price ÷ SPY” line that gets completely fooled by volatility regimes, RRS answers the only question that actually matters to professional traders: “Is this ticker moving better (or worse) than the market on a risk-adjusted basis right now?” It does this by measuring the excess momentum of your ticker versus a benchmark (SPY, QQQ, BTC, etc.) and then dividing that excess by the average volatility (ATR) of both instruments. The result is a clean, centered-around-zero oscillator that works the same way in calm markets, crash markets, or parabolic bull runs. ### How to Use the RRS Indicator (Aqua/Purple Area Version) in Practice The indicator is deliberately simple to read once you know the rules: Positive area (aqua) means genuine outperformance. Negative area (purple) means genuine underperformance. The farther from zero, the stronger the leadership or weakness. #### Core Signals and How to Trade Them - RRS crossing above zero → one of the highest-probability long signals in existence. The asset has just started outperforming the market on a risk-adjusted basis. Enter or add aggressively if price structure agrees. - RRS crossing below zero → leadership is ending. Tighten stops, take partial or full profits, or flip short if you trade both sides. - RRS above +2 (bright aqua area) → clear leadership. This is where the real money is made in bull markets. Trail stops, add on pullbacks, let winners run. - RRS below –2 (bright purple area) → clear distribution or capitulation. Avoid new longs, consider short entries or protective puts. - Extreme readings above +4 or below –4 (background tint appears) → rare, very high-conviction moves. Treat these like once-a-month opportunities. - Divergence (not plotted here, but easy to spot visually): price making new highs while the aqua area is shrinking → distribution. Price making new lows while the purple area is shrinking → hidden buying and coming reversal. #### Best Settings by Style and Asset Class For stocks and ETFs: keep benchmark as SPY (or QQQ for tech-heavy names) and length 14–20 on daily/4H charts. For crypto: change the benchmark to BTCUSD (or ETHUSD) immediately — otherwise the reading is meaningless. Length 10–14 works best on 1H–4H crypto charts because volatility is higher. For day trading: drop length to 10–12 and use 15-minute or 5-minute charts. Signals are faster and still extremely clean. #### Highest-Edge Setups (What Actually Prints Money) - RRS crosses above zero while price is still below a major moving average (50 EMA, 200 SMA, etc.) → early leadership, often catches the exact bottom of a new leg up. - RRS already deep aqua (+3 or higher) and price pulls back to support without RRS dropping below +1 → textbook add-on or re-entry zone. - RRS deep purple and suddenly turns flat or starts curling up while price is still falling → hidden accumulation, usually the exact low tick. That’s it. Master these few rules and the RRS becomes one of the most powerful edge tools you will ever use for rotation trading...
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EMA34TRADER tarafından
Nifty Scalping System by Rakesh Sharma🎯 What This Indicator Does: Core Features: ✅ Fast Entry/Exit Signals - Quick BUY/SELL labels on chart ✅ 3 Signal Modes: Aggressive - More signals, faster entries Moderate - Balanced (Recommended) Conservative - Fewer but high-quality signals ✅ Automatic Target & Stop Loss - Plotted on chart as soon as you enter ✅ Time Filter - Only trades during your specified hours (9:20 AM - 3:15 PM default) ✅ Trade Statistics - Win rate, W/L ratio tracked automatically ✅ Live Dashboard - Shows trend, RSI, VWAP position, current trade status Indicators Used: 📊 3 EMAs (9, 21, 50) - Trend direction 📈 Supertrend - Primary trend filter 💪 RSI - Momentum & overbought/oversold 💜 VWAP - Intraday support/resistance 📉 ATR - Dynamic stop loss & targets 📊 Volume - Confirmation of moves ⚙️ Best Settings for Nifty/Bank Nifty: For 5-Minute Charts (Most Popular): Signal Mode: Moderate Target R:R: 1.5 (1:1.5 risk-reward) Time Filter: 9:20 AM to 3:15 PM For 3-Minute Charts (More Scalps): Signal Mode: Aggressive Target R:R: 1.0 (quick exits) Time Filter: 9:20 AM to 3:15 PM For 15-Minute Charts (Swing Scalping): Signal Mode: Conservative Target R:R: 2.0 (bigger targets) Time Filter: 9:30 AM to 3:00 PM 💡 How to Use: Step 1: Setup Add indicator to 5-min Nifty or Bank Nifty chart Choose your Signal Mode (start with Moderate) Set Risk:Reward (1.5 is balanced) Enable Time Filter (avoid first 10 mins) Step 2: Trading BUY Signal appears = Go LONG Green label shows entry price Green line = Target Red line = Stop Loss SELL Signal appears = Go SHORT Red label shows entry price Green line = Target Red line = Stop Loss Exit automatically when Target or SL is hit Step 3: Risk Management Automatic SL based on ATR (volatility) Adjustable R:R ratio Never trade outside session hours 🎯 Trading Rules (Important!): ✅ Take the Trade When: Signal appears during trading session Dashboard shows strong trend Volume spike present Price above/below VWAP (for buy/sell) ❌ Avoid Trading When: First 10 minutes (9:15-9:25 AM) Last 15 minutes (3:15-3:30 PM) Dashboard shows "SIDEWAYS" Major news events 📊 Dashboard Explained: FieldWhat It MeansModeYour current signal sensitivityTrendOverall market directionRSIOverbought/Oversold/NeutralPrice vs VWAPAbove = Bullish, Below = BearishCurrent TradeShows if you're in a positionSessionTrading time active or notWin RateYour success % 🚀 Pro Tips for Nifty/Bank Nifty: Best Timeframe: 5-minute chart Best Time: 9:30 AM - 2:30 PM (avoid opening/closing rushes) Risk per Trade: 1-2% of capital max Follow the Trend: Take only BUY in uptrend, SELL in downtrend Use Alerts: Set alerts so you don't miss signals Start Small: Paper trade first with 1 lot ⚡ Quick Start Guide: For Bank Nifty (5-min chart): 1. Signal Mode: Moderate 2. Target R:R: 1.5 3. Trading Hours: 9:20 AM - 3:15 PM 4. Watch for 3-5 signals per day 5. Average 30-50 points per trade For Nifty 50 (5-min chart): 1. Signal Mode: Moderate 2. Target R:R: 1.5 3. Trading Hours: 9:20 AM - 3:15 PM 4. Watch for 3-5 signals per day 5. Average 15-30 points per trade 📈 Expected Performance: Conservative Mode: 2-4 trades/day, 65-70% win rate Moderate Mode: 4-8 trades/day, 55-65% win rate Aggressive Mode: 8-15 trades/day, 45-55% win rate This is a complete scalping system, Rakesh! All you need to do is: Add to chart Wait for signals Follow the targets/stop losses Track your stats Ready to test it? Let me know if you want any adjustments! 🎯💰Claude can make mistakes. Please double-check responses.
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rabin97 tarafından
Meet The Neural Brain: The "Glass Box" AnalystIt observes. It thinks. It speaks. Most indicators are "Black Boxes"—they give you a signal, but they never tell you why. If you don't know the why, you can't trust the trade. The Neural Brain is different. It is a "Glass Box" AI Market Analyst that lives on your chart. It breaks down its decision-making process into plain English, so you never have to guess. How It "Thinks" (The 3-Layer Cortex) It processes market data through three human-like layers: 1. PERCEPTION (The Eyes) Forensic Analysis: It scans price action for "clean" vs. "noisy" movement. Spread History: It tracks momentum expansion in real-time. 2. COGNITION (The Mind) Mode Selection: It mathematically decides whether to TRACK a trend or REPEL choppy conditions. Conviction Monitor: It tells you if its confidence in the trade is growing or fading. 3. NARRATIVE (The Voice) The Killer Feature: It synthesizes all data into a final strategic summary displayed right on your screen: "STRONG TREND + NOISY ACTION = HOLDING (Ignoring Noise)" "Is this Real AI?" Transparency is our priority. This is not "Generative AI" (like ChatGPT) that hallucinates or scours the internet. This is Expert Systems Machine Learning. The Math: We utilize the Rational Quadratic Kernel, a sophisticated technique used in Gaussian Process Regression. This allows the code to "learn" the structure of volatility without being explicitly hard-coded. It adapts to the market curve. The Logic: It mimics the thought process of a professional trader running a complex Decision Tree: Human Thought: "The trend is up, but it's choppy, so I should wait." Neural Logic: IF (Trend > 0) AND (Efficiency < 0.3) THEN Strategy = "HOLDING" The Result: A Synthetic Cortex that adapts to the situation just like a pro trader would, giving you the clarity to execute with zero hesitation.
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CustomQuantLabs tarafından
PinkSlips Sauce IndicatorChecklist v4PinkSlips’ personal checklist assistant for catching clean trend moves. It stacks EMAs (20/50/200), checks RSI strength, filters chop with ATR, then prints a simple YES/NO checklist so you know when the sauce is actually there. What it does EMA trend filter (bullish / bearish structure) RSI confirmation for high-probability longs & shorts ATR chop filter so you avoid dead zones On-chart checklist box: trend up/down, ATR OK, long/short ready, last signal Optional LONG/SHORT labels on the candles for execution Use this as your pre–entry checklist so you stop forcing trades and only take the clean PinkSlips setups.
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Shoebug tarafından
Volume based liquidity This indicator finds area where the price moves relatively mildly compared to the size of the volume, the target area. It also finds weak areas, that have low volume in a relatively large price movement. Larger and more recent target areas are much more useful in finding liquidity. the weak areas could be a tell for when price will reverse into a target area. Make sure a target area hasn't already had its liquidity swept.
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Napoleonthegeneral tarafından
MACD Forecast Colorful [DiFlip]MACD Forecast Colorful The Future of Predictive MACD — is one of the most advanced and customizable MACD indicators ever published on TradingView. Built on the classic MACD foundation, this upgraded version integrates statistical forecasting through linear regression to anticipate future movements — not just react to the past. With a total of 22 fully configurable long and short entry conditions, visual enhancements, and full automation support, this indicator is designed for serious traders seeking an analytical edge. ⯁ Real-Time MACD Forecasting For the first time, a public MACD script combines the classic structure of MACD with predictive analytics powered by linear regression. Instead of simply responding to current values, this tool projects the MACD line, signal line, and histogram n bars into the future, allowing you to trade with foresight rather than hindsight. ⯁ Fully Customizable This indicator is built for flexibility. It includes 22 entry conditions, all of which are fully configurable. Each condition can be turned on/off, chained using AND/OR logic, and adapted to your trading model. Whether you're building a rules-based quant system, automating alerts, or refining discretionary signals, MACD Forecast Colorful gives you full control over how signals are generated, displayed, and triggered. ⯁ With MACD Forecast Colorful, you can: • Detect MACD crossovers before they happen. • Anticipate trend reversals with greater precision. • React earlier than traditional indicators. • Gain a powerful edge in both discretionary and automated strategies. • This isn’t just smarter MACD — it’s predictive momentum intelligence. ⯁ Scientifically Powered by Linear Regression MACD Forecast Colorful is the first public MACD indicator to apply least-squares predictive modeling to MACD behavior — effectively introducing machine learning logic into a time-tested tool. It uses statistical regression to analyze historical behavior of the MACD and project future trajectories. The result is a forward-shifted MACD forecast that can detect upcoming crossovers and divergences before they appear on the chart. ⯁ Linear Regression: Technical Foundation Linear regression is a statistical method that models the relationship between a dependent variable (y) and one or more independent variables (x). The basic formula for simple linear regression is: y = β₀ + β₁x + ε Where: y  = predicted variable (e.g., future MACD value) x  = independent variable (e.g., bar index) β₀ = intercept β₁ = slope ε   = random error (residual) The regression model calculates β₀ and β₁ using the least squares method, minimizing the sum of squared prediction errors to produce the best-fit line through historical values. This line is then extended forward, generating a forecast based on recent price momentum. ⯁ Least Squares Estimation The regression coefficients are computed with the following formulas: β₁ = Σ((xᵢ - x̄)(yᵢ - ȳ)) / Σ((xᵢ - x̄)²) β₀ = ȳ - β₁x̄ Where: Σ denotes summation; x̄ and ȳ are the means of x and y; and i ranges from 1 to n (number of observations). These equations produce the best linear unbiased estimator under the Gauss–Markov assumptions — constant variance (homoscedasticity) and a linear relationship between variables. ⯁ Regression in Machine Learning Linear regression is a foundational model in supervised learning. Its ability to provide precise, explainable, and fast forecasts makes it critical in AI systems and quantitative analysis. Applying linear regression to MACD forecasting is the equivalent of injecting artificial intelligence into one of the most widely used momentum tools in trading. ⯁ Visual Interpretation Picture the MACD values over time like this: Time  → MACD → A regression line is fitted to recent MACD values, then projected forward n periods. The result is a predictive trajectory that can cross over the real MACD or signal line — offering an early-warning system for trend shifts and momentum changes. The indicator plots both current MACD and forecasted MACD, allowing you to visually compare short-term future behavior against historical movement. ⯁ Scientific Concepts Used Linear Regression: models the relationship between variables using a straight line. Least Squares Method: minimizes squared prediction errors for best-fit. Time-Series Forecasting: projects future data based on past patterns. Supervised Learning: predictive modeling using labeled inputs. Statistical Smoothing: filters noise to highlight trends. ⯁ Why This Indicator Is Revolutionary First open-source MACD with real-time predictive modeling. Scientifically grounded with linear regression logic. Automatable through TradingView alerts and bots. Smart signal generation using forecasted crossovers. Highly customizable with 22 buy/sell conditions. Enhanced visuals with background (bgcolor) and area fill (fill) support. This isn’t just an update — it’s the next evolution of MACD forecasting. ⯁ Example of simple linear regression with one independent variable This example demonstrates how a basic linear regression works when there is only one independent variable influencing the dependent variable. This type of model is used to identify a direct relationship between two variables. ⯁ In linear regression, observations (red) are considered the result of random deviations (green) from an underlying relationship (blue) between a dependent variable (y) and an independent variable (x) This concept illustrates that sampled data points rarely align perfectly with the true trend line. Instead, each observed point represents the combination of the true underlying relationship and a random error component. ⯁ Visualizing heteroscedasticity in a scatterplot with 100 random fitted values using Matlab Heteroscedasticity occurs when the variance of the errors is not constant across the range of fitted values. This visualization highlights how the spread of data can change unpredictably, which is an important factor in evaluating the validity of regression models. ⯁ The datasets in Anscombe’s quartet were designed to have nearly the same linear regression line (as well as nearly identical means, standard deviations, and correlations) but look very different when plotted This classic example shows that summary statistics alone can be misleading. Even with identical numerical metrics, the datasets display completely different patterns, emphasizing the importance of visual inspection when interpreting a model. ⯁ Result of fitting a set of data points with a quadratic function This example illustrates how a second-degree polynomial model can better fit certain datasets that do not follow a linear trend. The resulting curve reflects the true shape of the data more accurately than a straight line. ⯁ What is the MACD? The Moving Average Convergence Divergence (MACD) is a technical analysis indicator developed by Gerald Appel. It measures the relationship between two moving averages of a security’s price to identify changes in momentum, direction, and strength of a trend. The MACD is composed of three components: the MACD line, the signal line, and the histogram. ⯁ How to use the MACD? The MACD is calculated by subtracting the 26-period Exponential Moving Average (EMA) from the 12-period EMA. A 9-period EMA of the MACD line, called the signal line, is then plotted on top of the MACD line. The MACD histogram represents the difference between the MACD line and the signal line. Here are the primary signals generated by the MACD: • Bullish Crossover: When the MACD line crosses above the signal line, indicating a potential buy signal. • Bearish Crossover: When the MACD line crosses below the signal line, indicating a potential sell signal. • Divergence: When the price of the security diverges from the MACD, suggesting a potential reversal. • Overbought/Oversold Conditions: Indicated by the MACD line moving far away from the signal line, though this is less common than in oscillators like the RSI. ⯁ How to use MACD forecast? The MACD Forecast is built on the same foundation as the classic MACD, but with predictive capabilities. Step 1 — Spot Predicted Crossovers: Watch for forecasted bullish or bearish crossovers. These signals anticipate when the MACD line will cross the signal line in the future, letting you prepare trades before the move. Step 2 — Confirm with Histogram Projection: Use the projected histogram to validate momentum direction. A rising histogram signals strengthening bullish momentum, while a falling projection points to weakening or bearish conditions. Step 3 — Combine with Multi-Timeframe Analysis: Use forecasts across multiple timeframes to confirm signal strength (e.g., a 1h forecast aligned with a 4h forecast). Step 4 — Set Entry Conditions & Automation: Customize your buy/sell rules with the 20 forecast-based conditions and enable automation for bots or alerts. Step 5 — Trade Ahead of the Market: By preparing for future momentum shifts instead of reacting to the past, you’ll always stay one step ahead of lagging traders. 📈 BUY 🍟 Signal Validity: The signal will remain valid for X bars. 🍟 Signal Sequence: Configurable as AND or OR. 🍟 MACD > Signal Smoothing 🍟 MACD < Signal Smoothing 🍟 Histogram > 0 🍟 Histogram < 0 🍟 Histogram Positive 🍟 Histogram Negative 🍟 MACD > 0 🍟 MACD < 0 🍟 Signal > 0 🍟 Signal < 0 🍟 MACD > Histogram 🍟 MACD < Histogram 🍟 Signal > Histogram 🍟 Signal < Histogram 🍟 MACD (Crossover) Signal 🍟 MACD (Crossunder) Signal 🍟 MACD (Crossover) 0 🍟 MACD (Crossunder) 0 🍟 Signal (Crossover) 0 🍟 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast 📉 SELL 🍟 Signal Validity: The signal will remain valid for X bars. 🍟 Signal Sequence: Configurable as AND or OR. 🍟 MACD > Signal Smoothing 🍟 MACD < Signal Smoothing 🍟 Histogram > 0 🍟 Histogram < 0 🍟 Histogram Positive 🍟 Histogram Negative 🍟 MACD > 0 🍟 MACD < 0 🍟 Signal > 0 🍟 Signal < 0 🍟 MACD > Histogram 🍟 MACD < Histogram 🍟 Signal > Histogram 🍟 Signal < Histogram 🍟 MACD (Crossover) Signal 🍟 MACD (Crossunder) Signal 🍟 MACD (Crossover) 0 🍟 MACD (Crossunder) 0 🍟 Signal (Crossover) 0 🍟 Signal (Crossunder) 0 🔮 MACD (Crossover) Signal Forecast 🔮 MACD (Crossunder) Signal Forecast 🤖 Automation All BUY and SELL conditions can be automated using TradingView alerts. Every configurable condition can trigger alerts suitable for fully automated or semi-automated strategies. ⯁ Unique Features Linear Regression: (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill" Linear Regression (Forecast) Signal Validity: The signal will remain valid for X bars Signal Sequence: Configurable as AND/OR Table of Conditions: BUY/SELL Conditions Label: BUY/SELL Plot Labels in the graph above: BUY/SELL Automate & Monitor Signals/Alerts: BUY/SELL Background Colors: "bgcolor" Background Colors: "fill"
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DiFlip tarafından
Trinity CCI Pro PlusWhat It Is Trinity CCI Pro Plus is an innovative overlay indicator that reimagines the classic Commodity Channel Index (CCI) by plotting its levels directly on the price chart. No more separate oscillator panel—instead, you get dynamic price-based bands and lines for instant momentum insights. What You See on the Chart Orange line: The CCI zero line (20-period SMA of typical price, hlc3)—acts as the baseline. Aqua line: Dynamic upper band at CCI = +100 (overbought threshold). Purple line: Dynamic lower band at CCI = -100 (oversold threshold). Optional thick purple line: The extra SMA of CCI (14-period smooth) scaled back to price—serves as a signal line for crossovers. Optional outer zones: ±200 bands (aqua/purple extensions) for extreme momentum levels, often added as dotted or filled areas to spot blow-off tops/bottoms. Key Differences from Regular CCI Standard CCI lives in a lower pane with fixed horizontal lines at +100, 0, and -100, forcing you to split your focus. This version overlays everything on price: the bands curve with market volatility, the zero line becomes a moving average, and the extra SMA/signal line integrates seamlessly for price-action trading. Plus, it naturally supports outer ±200 zones without extra coding, making extremes visually pop. How Traders Use It Momentum breakouts: Buy when price closes above the +100 aqua band (or +200 for aggressive entries); sell below -100 purple (or -200). Mean reversion: Fade touches on the bands—take profits if price rejects the +100/-100 levels, or watch for exhaustion at ±200. Trend bias: Price above orange zero = bullish filter; below = bearish. Use the extra SMA for confirmation (e.g., price crossing above it signals upside). Crossover signals: Price vs. the thick purple SMA line—bullish above, bearish below—pairs perfectly with band breaks. Range trading: Treat ±100 bands as dynamic support/resistance; outer ±200 zones highlight potential breakout setups. This setup shines in trending markets (e.g., stocks or forex on 1H/daily charts), turning CCI into a one-glance channel system. Start with the defaults, add the ±200 and extra SMA via simple code tweaks, and backtest for your style—it's versatile and reduces screen clutter dramatically. More Info The 20 period MA is the original and still the most common setting for CCI, and it is exactly what the creator of the CCI, Donald Lambert, published it in 1980 with these exact parameters: Length: 20 periods Constant: 0.015 (to make CCI fall between +100 and –100 about 70–80 % of the time) Typical Price: hlc3 (or sometimes (high + low + close)/3) Deviation measure: Mean Deviation (not standard deviation) So the “Trinity CCI Pro Plus” you are using is 100 % faithful to Lambert’s original design when the length is set to 20.
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EMA34TRADER tarafından
Macros+AMD [NW]Macros + AMD - Daily & Weekly Time-Based Analysis Multi-timeframe AMD (Accumulation, Manipulation, Distribution) visualization with ICT Macro timing windows for time-based market analysis. Overview This indicator visualizes the AMD (Accumulation, Manipulation, Distribution) framework on both daily and weekly timeframes, combined with ICT Macro timing windows. It is designed as an educational tool to help traders study time-based market structure and algorithmic price delivery concepts. The AMD model is based on the idea that markets move through distinct phases within each trading period: Accumulation (A) - Initial range formation, liquidity building Manipulation (M) - False moves to trap traders, liquidity sweeps Distribution (D) - True directional move, price delivery to targets What This Indicator Displays Daily AMD Phases Displays the intraday AMD cycle based on New York trading hours: A Phase (Blue): 4:00 AM - 8:35 AM EST — Morning accumulation, Asian/London overlap M Phase (Red): 8:35 AM - 11:25 AM EST — NY session manipulation, news events D Phase (Green): 11:25 AM - 4:00 PM EST — Afternoon distribution and price delivery Weekly AMD Phases Displays the weekly AMD cycle from Monday to Monday: A Phase: Monday 00:00 - Tuesday 21:56 EST — Weekly high/low formation begins M Phase: Tuesday 21:56 - Thursday 02:04 EST — Mid-week reversal zone D Phase: Thursday 02:04 - Monday 00:00 EST — Weekly price delivery Inner M Phase Fibs When enabled, subdivides the M (Manipulation) phase using Fibonacci levels: 0.382 level — Inner accumulation ends 0.500 level — Mid-point of manipulation 0.618 level — Inner distribution begins This helps identify potential reversal points within the manipulation phase. ICT Macro Windows Horizontal lines marking the XX:42 to XX:15 macro periods (33-minute windows): 2:42 - 3:15 AM 3:42 - 4:15 AM (London) 7:42 - 8:15 AM 8:42 - 9:15 AM 9:42 - 10:15 AM (Prime AM session) 10:42 - 11:15 AM 11:42 - 12:15 PM 12:42 - 1:15 PM 1:42 - 2:15 PM 2:42 - 3:15 PM These windows represent times when algorithmic price delivery is more likely to occur. How To Use Understanding the AMD Framework During the A Phase: Observe range formation and initial liquidity pools Note the high and low established during this phase Wait for manipulation before committing to direction During the M Phase: Watch for false breakouts and stop hunts Look for reversal patterns after liquidity sweeps The inner fibs (0.382, 0.5, 0.618) can help time entries within this phase Mid-week (Wednesday) often sees key reversals on weekly AMD During the D Phase: This is typically when the true move occurs Price tends to deliver toward draw on liquidity targets The direction is often opposite to the manipulation move Using the Macro Windows The XX:42 to XX:15 windows are times to pay attention to price action: These 33-minute periods often see increased algorithmic activity Look for displacement, fair value gaps, or order blocks forming The 9:42-10:15 AM window is considered particularly significant for NY session Weekly Day Labels Monday/Tuesday: "H/L of Week" — Watch for weekly high or low formation Wednesday: "Reversal Day" — Mid-week reversal probability increases Thursday/Friday: "Reversal Day" — Continuation or secondary reversal Settings Guide Main Settings Timezone: Set to your broker's timezone or preferred timezone Macros On Top: Toggle macro lines above or below AMD boxes Show All Text Labels: Master toggle for all text (turn off for clean charts on HTF) Daily/Weekly AMD Show: Enable/disable the AMD visualization Opacity: Adjust transparency of the phase boxes (higher = more transparent) AMD Colors Customize colors for each phase (A, M, D) Default: Blue (A), Red (M), Green (D) Inner M Style Customize the inner M phase fib lines and text colors Default: Black lines for clean visibility Macro Settings Adjust macro line color and thickness Toggle individual macro windows on/off Important Notes This indicator is for educational purposes and time-based analysis It does not provide buy/sell signals Always use in conjunction with proper price action analysis Past price behavior during these time windows does not guarantee future results The AMD framework is one lens for viewing market structure — use it as part of a complete methodology Credits This indicator is based on concepts taught by ICT (Inner Circle Trader) and the broader Smart Money Concepts community. The AMD framework, macro timing windows, and weekly profile concepts are derived from this educational methodology. Timeframe Recommendations Best viewed on 1-minute to 15-minute charts Text labels automatically hide on 9-minute and higher timeframes for cleaner visualization Indicator hides completely on 1-hour and higher timeframes Changelog v1.0 - Initial release Daily AMD phases (4am-4pm EST) Weekly AMD phases (Monday-Monday) Inner M phase Fibonacci subdivisions 10 ICT Macro timing windows Full customization options Automatic 9-day cleanup
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