Inizia

Indicatori e strategie

SIC_TICKER_DATAThe SIC Ticker Data is an advanced and efficient library for ticker-to-industry classification and sector analysis. Built with enterprise-grade performance optimizations, this library provides instant access to SIC codes, industry classifications, and peer company data for comprehensive market analysis. Perfect for: Sector rotation strategies, peer analysis, portfolio diversification, market screening, and financial research tools. The simple idea behind this library is to pull any data related to SIC number of any US stock market ticker provided by SEC in order to see the industry and also see the exact competitors of the ticker. The library stores 3 types of data: SIC number, Ticker, and Industry name. What makes it very useful is that you can pull any one of this data using the other. For example, if you would like to know which tickers are inside a certain SIC, or what's the SIC number of a specific ticker, or even which tickers are inside a certain industry, you can use this library to pull this data. The idea for data inside this library is to be accessible in any direction possible as long as they're related to each other. We've also published a simple indicator that uses this library in order to demonstrate the inner workings of this library. The library stores thousands of tickers and their relevant SIC code and industry for your use and is constantly updated with new data when available. This is a large library but it is optimized to run as fast as possible. The previous unpublished versions would take over 40 seconds to load any data but the final public version here loads the data in less than 5 seconds. 🔍 Primary Lookup Functions createDataStore() Initialize the library with all pre-loaded data. store = data.createDataStore() getSicByTicker(store, ticker) Get SIC code for any ticker symbol. sic = data.getSicByTicker(store, "AAPL") // Returns: "3571" getIndustryByTicker(store, ticker) Get industry classification for any ticker. industry = data.getIndustryByTicker(store, "AAPL") // Returns: "Computer Hardware" getTickersBySic(store, sic) Get all companies in a specific SIC code. software = data.getTickersBySic(store, "7372") // Returns: "MSFT,GOOGL,META,V,MA,CRM,ADBE,ORCL,NOW,INTU" getTickersByIndustry(store, industry) Get all companies in an industry. retail = data.getTickersByIndustry(store, "Retail") // Returns: "AMZN,HD,WMT,TGT,COST,LOW" 📊 Array & Analysis Functions getTickerArrayBySic(store, sic) Get tickers as array for processing. techArray = data.getTickerArrayBySic(store, "7372") for i = 0 to array.size(techArray) - 1 ticker = array.get(techArray, i) // Process each tech company getTickerCountBySic(store, sic) Count companies in a sector (ultra-fast). pinescripttechCount = data.getTickerCountBySic(store, "7372") // Returns: 10 🎯 Utility Functions tickerExists(store, ticker) Check if ticker exists in database. exists = data.tickerExists(store, "AAPL") // Returns: true tickerInSic(store, ticker, sic) Check if ticker belongs to specific sector. isInTech = data.tickerInSic(store, "AAPL", "3571") // Returns: true 💡 Usage Examples Example 1: Basic Ticker Lookup // @version=6 import EdgeTerminal/SIC_TICKER_DATA/1 as data indicator("Ticker Analysis", overlay=true) store = data.createDataStore() currentSic = data.getSicByTicker(store, syminfo.ticker) currentIndustry = data.getIndustryByTicker(store, syminfo.ticker) if barstate.islast and currentSic != "NOT_FOUND" label.new(bar_index, high, syminfo.ticker + " SIC: " + currentSic + " Industry: " + currentIndustry) Example 2: Sector Analysis // @version=6 import EdgeTerminal/SIC_TICKER_DATA/1 as data indicator("Sector Comparison", overlay=false) store = data.createDataStore() // Compare sector sizes techCount = data.getTickerCountBySic(store, "7372") // Software financeCount = data.getTickerCountBySic(store, "6199") // Finance healthCount = data.getTickerCountBySic(store, "2834") // Pharmaceutical plot(techCount, title="Tech Companies", color=color.blue) plot(financeCount, title="Finance Companies", color=color.green) plot(healthCount, title="Health Companies", color=color.red) Example 3: Peer Analysis // @version=6 import EdgeTerminal/SIC_TICKER_DATA/1 as data indicator("Find Competitors", overlay=true) store = data.createDataStore() currentSic = data.getSicByTicker(store, syminfo.ticker) if currentSic != "NOT_FOUND" competitors = data.getTickersBySic(store, currentSic) peerCount = data.getTickerCountBySic(store, currentSic) if barstate.islast label.new(bar_index, high, "Competitors (" + str.tostring(peerCount) + "): " + competitors) Example 4: Portfolio Sector Allocation // @version=6 import EdgeTerminal/SIC_TICKER_DATA/1 as data indicator("Portfolio Analysis", overlay=false) store = data.createDataStore() // Analyze your portfolio's sector distribution portfolioTickers = array.from("AAPL", "MSFT", "GOOGL", "JPM", "JNJ") sectorCount = map.new() for i = 0 to array.size(portfolioTickers) - 1 ticker = array.get(portfolioTickers, i) industry = data.getIndustryByTicker(store, ticker) if industry != "NOT_FOUND" currentCount = map.get(sectorCount, industry) newCount = na(currentCount) ? 1 : currentCount + 1 map.put(sectorCount, industry, newCount) 🔧 Advanced Feature You can also bulk load data for large data sets like this: // Pre-format your data as pipe-separated string bulkData = "AAPL:3571:Computer Hardware|MSFT:7372:Software|GOOGL:7372:Software" store = data.createDataStoreFromBulk(bulkData)
Libreria Pine Script®
di EdgeTerminal
Fusion AI IndicatorWhat is Fusion AI? The Fusion AI Indicator blends three proven momentum & mean-reversion signals into a single composite “AI Score.” By normalizing and weighting EMA crossovers, RSI bias and MACD momentum, you get one clean line that captures multi-factor strength shifts in real time—plus optional price-chart arrows and built-in alerts. How it works Fast vs. Slow EMA (40%) (EMA(fastLen) – EMA(slowLen)) / EMA(slowLen) RSI Deviation (30%) (RSI(rsiLen) – 50) / 50 MACD Momentum (30%) (MACD.line – MACD.signal) / ATR(14) AI Score = 0.4 · EMA + 0.3 · RSI + 0.3 · MACD Thresholds Buy when AI Score crosses up through +Threshold Sell when it crosses down through –Threshold Default Inputs (tuned for balanced signals) Fast MA Length: 12 Slow MA Length: 26 RSI Length: 14 MACD Fast EMA: 12 MACD Slow EMA: 26 MACD Signal Smoothing: 9 AI Score Threshold: 0.30 Show Overlay Arrows: ✔️ Alert on Bar Close Only: ✔️ (You can lower Threshold toward 0.10–0.20 for more frequent signals in quieter markets.) Recommended Markets & Timeframes Bitcoin (BTCUSD) on 1 H, 4 H – captures crypto swings Ethereum (ETHUSD) on 1 H, 4 H AAPL, TSLA, SPY on 15 M, 1 H – ideal for intraday setups How to Add Alerts Add the indicator to your chart. Open Create Alert → Condition → Fusion AI Indicator with Alerts & Overlay → choose Buy Signal or Sell Signal. Set Frequency to Once per bar close (default) or Once per bar. Paste a custom message or use the default: “Fusion AI: Bullish crossover detected” “Fusion AI: Bearish crossunder detected” Usage Tips Combine with volume filters or support/resistance zones for higher-probability entries. Use the gradient-colored subchart to spot building momentum even before arrows appear. Back-test threshold levels per asset: volatility will dictate whether 0.30 is too loose or too tight. Enjoy smoother, multi-factor signals in one indicator—Fusion AI does the math so your eyes can focus on the trade.
Indicatore Pine Script®
di FindBetterTrades
2
USDT + USDC DominanceUSDT and USDC Dominance: This refers to the combined market capitalization of Tether (USDT) and USD Coin (USDC) as a percentage of the total cryptocurrency market capitalization. It measures the proportion of the crypto market held by these stablecoins, which are pegged to the US dollar. High dominance indicates a "risk-off" sentiment, where investors hold stablecoins for safety during market uncertainty. A drop in dominance suggests capital is flowing into riskier assets like altcoins, often signaling a bullish market or the start of an "alt season."
Indicatore Pine Script®
di cariste
Correlation Coefficient with MA & BB中文版介紹 相關係數、移動平均線與布林帶指標 (Correlation Coefficient with MA & BB) 這個 Pine Script 指標是一款強大的工具，旨在幫助交易者和投資者深入分析兩個市場標的之間的關係強度與方向，並結合移動平均線 (MA) 和布林帶 (BB) 來進一步洞察這種關係的趨勢和波動性。 無論您是想尋找配對交易機會、管理投資組合風險，還是僅僅想更好地理解市場動態，這個指標都能提供有價值的見解。 指標特色與功能： 動態相關係數計算： 您可以選擇任何您想比較的股票、商品或加密貨幣代號（例如，預設為 GOOG）。 指標會自動計算當前圖表（主數據源，預設為收盤價）與您指定標的之間的相關係數。 相關係數值介於 -1 (完美負相關) 至 1 (完美正相關) 之間，0 表示無線性關係。 視覺化呈現相關係數線，並標示 1、0、-1 參考水平線，同時填充完美相關區間，讓您一目了然。 特別之處：程式碼中包含了 ticker.modify，確保比較標的數據考慮了股息調整或延長交易時段，使相關性分析更加精準。 相關係數的移動平均線 (MA)： 為了平滑相關係數的短期波動，指標提供了多種移動平均線類型供您選擇，包括：SMA、EMA、WMA、SMMA。 您可以設定計算 MA 的週期長度（預設 20 週期）。 這條 MA 線有助於識別相關係數的長期趨勢，判斷兩者關係是趨於增強還是減弱。 相關係數的布林帶 (BB)： 將布林帶應用於相關係數，以衡量其波動性和相對高低水平。 中軌與您選擇的移動平均線保持一致。 上軌和下軌則根據相關係數的標準差和您設定的 Z 值（預設 2.0 倍標準差）動態調整。 布林帶可以幫助您識別相關係數何時處於極端水平，可能預示著未來會回歸均值。 如何運用這個指標？ 配對交易策略：當兩個通常高度相關的資產，其相關係數短期內顯著偏離平均水平（例如，一個資產價格上漲而另一個原地踏步），您可能可以考慮利用此「失衡」進行配對交易。 投資組合多元化：了解不同資產之間的相關性，有助於構建更穩健的投資組合，避免過度集中於同向變動的資產，有效分散風險。 市場趨勢洞察：透過觀察相關係數的趨勢和波動，您可以更好地理解不同市場板塊或資產類別之間的聯動性，為您的宏觀經濟分析提供數據支持。 請注意，相關性不等於因果性。使用此指標時，請結合您的整體交易策略、宏觀經濟分析以及其他技術指標進行綜合判斷。 English Version Introduction Correlation Coefficient with Moving Average & Bollinger Bands Indicator (Correlation Coefficient with MA & BB) This Pine Script indicator is a powerful tool designed to help traders and investors deeply analyze the strength and direction of the relationship between two market instruments. It integrates Moving Averages (MA) and Bollinger Bands (BB) to further insight into the trend and volatility of this relationship. Whether you're looking for pair trading opportunities, managing portfolio risk, or simply aiming to better understand market dynamics, this indicator can provide valuable insights. Indicator Features & Functionality: Dynamic Correlation Coefficient Calculation: You can select any symbol you wish to compare (e.g., default is GOOG), be it stocks, commodities, or cryptocurrencies. The indicator automatically calculates the correlation coefficient between the current chart (main data source, default is close price) and your specified symbol. Correlation values range from -1 (perfect negative correlation) to 1 (perfect positive correlation), with 0 indicating no linear relationship. It visually plots the correlation line, marks 1, 0, -1 reference levels, and fills the perfect correlation zone for clear visualization. Special Feature: The code includes ticker.modify, ensuring that the comparative symbol's data accounts for dividend adjustments or extended trading hours, leading to more precise correlation analysis. Moving Average (MA) for Correlation: To smooth out short-term fluctuations in the correlation coefficient, the indicator offers multiple MA types for you to choose from: SMA, EMA, WMA, SMMA. You can set the length of the MA period (default 20 periods). This MA line helps identify the long-term trend of the correlation coefficient, indicating whether the relationship between the two instruments is strengthening or weakening. Bollinger Bands (BB) for Correlation: Bollinger Bands are applied to the correlation coefficient itself to gauge its volatility and relative high/low levels. The middle band aligns with your chosen Moving Average. The upper and lower bands dynamically adjust based on the correlation coefficient's standard deviation and your set Z-score (default 2.0 standard deviations). Bollinger Bands can help you identify when the correlation coefficient is at extreme levels, potentially signaling a future reversion to the mean. How to Utilize This Indicator: Pair Trading Strategies: When two typically highly correlated assets show a significant short-term deviation from their average correlation (e.g., one asset's price rises while the other stagnates), you might consider exploiting this "imbalance" for pair trading. Portfolio Diversification: Understanding the correlation between different assets helps build a more robust investment portfolio, preventing over-concentration in co-moving assets and effectively diversifying risk. Market Trend Insight: By observing the trend and volatility of the correlation coefficient, you can better understand the联动 (interconnectedness) between different market sectors or asset classes, providing data support for your macroeconomic analysis. Please note that correlation does not imply causation. When using this indicator, combine it with your overall trading strategy, macroeconomic analysis, and other technical indicators for comprehensive decision-making.
Indicatore Pine Script®
di ZhaoXianC
ADR TableTrack volatility and session momentum in real-time with customizable precision. Key Features: Average Daily Range (ADR): Configurable length (default 5 days), based on previous daily high–low ranges. Session Anchor Options: Choose anchor at 4 am NY, 6 pm NY, 9:30 am NY, 8:30 am NY, Previous Day Close, or Current Bar. Session Range & %ADR: Displays the real-time range from the chosen anchor, plus what percentage of ADR has been covered. High / Low Target Levels: Calculates ADR targets based on anchor: anchor ± ADR. Optional Target Lines: Draw horizontal lines for high and low targets across the session; customize color and width. Dynamic Table Display: User-selectable table size and text size (Tiny to Huge) for optimal readability. Robust Anchor Logic: Uses the first bar at-or-after anchor time each NY day, ensuring stability even on irregular intraday timeframes. How to Use Choose your anchor in settings. View ADR, session range (with %ADR), and target price levels in the top-right pane.Toggle High/Low lines to overlay targets on the chart. Adjust table and text size to match your workspace. Why It Matters Quickly assess where price stands relative to typical volatility. Easily identify intraday price exhaustion or breakout zones. Anchor flexibility enables use for both futures and equities, aligning with your trading session. Clean, professional display—no clutter, no guesswork.
Indicatore Pine Script®
di OliverC-H
Economy RadarEconomy Radar — Key US Macro Indicators Visualized A handy tool for traders and investors to monitor major US economic data in one chart. Includes: Inflation: CPI, PCE, yearly %, expectations Monetary policy: Fed funds rate, M2 money supply Labor market: Unemployment, jobless claims, consumer sentiment Economy & markets: GDP, 10Y yield, US Dollar Index (DXY) Options: Toggle indicators on/off Customizable colors Tooltips explain each metric (in Russian & English) Perfect for spotting economic cycles and supporting trading decisions. Add to your chart and get a clear macro picture instantly!
Indicatore Pine Script®
di Melatue
Kase Convergence Divergence [BackQuant]Kase Convergence Divergence The Kase Convergence Divergence is a sophisticated oscillator designed to measure directional market strength through the lens of volatility-adjusted log return structures. Inspired by Cynthia Kase’s work on statistical momentum and price projection ranges, this unique indicator offers a hybrid framework that merges signal processing, multi-length sweep logic, and adaptive smoothing techniques. Unlike traditional momentum oscillators like MACD or RSI, which rely on static moving average differences, KCD introduces a dual-process system combining: Kase-style statistical range projection (via log returns and volatility), A sweeping loop of lookback lengths for robustness, First and second derivative modes to capture both velocity and acceleration of price movement. Core Logic & Computation The KCD calculation is centered on two volatility-normalized transforms: KSDI Up: Measures how far the current high has moved relative to a past low, normalized by return volatility. KSDI Down: Measures how far the current low has moved relative to a past high, also normalized. For every length in a user-defined sweep range (e.g., 25–35), both KSDI_up and KSDI_dn are computed, and their maximum values across the loop are retained. The difference between these two max values produces the raw signal: KPO (Kase Projection Oscillator): Measures directional skew. KCD (Kase Convergence Divergence): Defined as KPO – MA(KPO) — similar in spirit to MACD but structurally different. Users can choose to visualize either the first derivative (KPO) , or the second derivative (KCD) , depending on market conditions or strategy style. Key Features ✅ Multi-Length Sweep Logic: Improves signal reliability by aggregating statistical range projections across a set of lookbacks. ✅ Advanced Smoothing Modes: Supports DEMA, HMA, TEMA, LINREG, WMA and more for dynamic adaptation. ✅ Dual Derivative Modes: Choose between speed (first derivative) or smoothness (second derivative) to fit your trading regime. ✅ Color-Encoded Signal Bands: Heatmap-style oscillator coloring enhances visual feedback on trend strength. ✅ Candlestick Painting: Optional bar coloring makes it easy to spot trend shifts on the main chart. ✅ Adaptive Fill Zones: Green and red fills between the oscillator and zero line help distinguish bullish and bearish regimes at a glance. Practical Applications 📈 Trend Confirmation: Use KCD as a secondary confirmation layer after breakout or pullback entries. 📉 Momentum Shifts: Crossover and crossunder of the zero line highlight potential regime changes. 📊 Strategy Filters: Incorporate into algos to avoid trendless or mean-reverting environments. 🧪 Derivative Switching: Flip between KPO and KCD modes depending on whether you want to measure acceleration or deceleration of price flow. Alerts & Signals Two built-in alerts help you catch regime shifts in real time: Long Signal: Triggered when the selected oscillator crosses above zero. Short Signal: Triggered when it crosses below zero. These events can be used to generate entries, exits, or trend validation cues in multi-layer systems. Conclusion The Kase Convergence Divergence goes beyond traditional oscillators by offering a volatility-normalized, derivative-aware signal engine with enhanced visual dynamics. Its sweeping architecture and dynamic fill logic make it especially powerful for identifying trending environments, filtering chop, and adding statistical rigor to your trading toolkit. Whether you’re a discretionary trader seeking precision, or a quant looking to model more robust return structures, KCD offers a creative yet analytically grounded solution.
Indicatore Pine Script®
di BackQuant
Alma SD SuperTrend | OquantAlma SD SuperTrend | Oquant The "Alma SD SuperTrend | Oquant" is a trend-following indicator that integrates the Arnaud Legoux Moving Average (ALMA) with a SuperTrend calculation based on standard deviation (SD). Designed to quickly identify and follow market trends while reducing noise, this script provides buy and sell signals for traders across various assets and timeframes. This script offers a unique approach by combining ALMA with a SuperTrend framework that uses standard deviation instead of the traditional Average True Range (ATR). This implementation focuses on fast trend detection with minimized noise, making it suitable for trend-following or swing trading strategies. The script’s customizable parameters allow traders to adapt it to their preferred trading style. How It Works Arnaud Legoux Moving Average (ALMA): ALMA is an advanced moving average that applies a Gaussian filter to smooth price data, reducing market noise while preserving responsiveness to price changes. It uses three parameters: Length: Sets the lookback period for smoothing. Longer periods produce smoother results. Offset: Shifts the moving average toward recent prices. Higher offsets emphasize newer data for faster trend detection. Sigma controls the smoothness and lag of the Alma by adjusting the spread of the Gaussian distribution used in the calculation. Standard Deviation (SD) Calculation: The script calculates the standard deviation of the price over a specified period to measure volatility. SD measures how much the prices deviate from its mean, offering a statistical perspective on market volatility. This is used to create dynamic upper and lower bands around the ALMA line, adjusted by a user-defined factor. The bands expand in volatile markets and contract in stable conditions, helping in trend detection. SuperTrend Logic: The script generates a SuperTrend line that dynamically tracks market trends by switching between upper and lower volatility bands based on price movement. Here's how it works: The SuperTrend line is calculated using the ALMA (Arnaud Legoux Moving Average) as a baseline, with upper and lower bands created by adding and subtracting a multiple(Factor) of the standard deviation (SD) from the ALMA. When the price moves above the upper band, the SuperTrend line shifts to the lower band, indicating a bullish trend (potential buy signal). When the price falls below the lower band, the SuperTrend line switches to the upper band, signaling a bearish trend (potential sell signal). To avoid quick, unreliable changes, this script intelligently adjusts the SuperTrend bands for stability. While the SuperTrend line dynamically follows market movements, it's designed to hold at its previous level if the price doesn't cross a band or confirm a new trend direction. This approach ensures the SuperTrend quickly identifies and follows genuine market trends, providing clear signals while effectively reducing false alerts from short-term price swings. Differences from Traditional SuperTrend: Baseline: The traditional SuperTrend typically uses a hl2((high + low)/2)as its baseline, while this script employs ALMA for a smoother, noise-filtered trend foundation. Volatility Measure: Instead of ATR, this script uses standard deviation to calculate the bands. Standard deviation measures how much the prices vary or spread out from its mean. Visualization: The script plots the SuperTrend line, colors candles to match the trend, and fills the area between the price and the SuperTrend line for visual clarity, helping traders quickly identify trend direction and strength (green for bullish, purple for bearish). How to Use It Add to Chart: Apply the indicator to any market and timeframe. Interpret Signals: Green Line and Candles: Bullish trend (price above the SuperTrend line). Consider long entries. Purple Line and Candles: Bearish trend (price below the SuperTrend line). Consider short entries. Filled Area: The shaded area between price and the SuperTrend line highlights trend direction(green for bullish, purple for bearish). Adjust Inputs: Source: Select the price data to use (e.g., close, open, high, low). Factor: Adjusts band width. Higher values widen bands, reducing sensitivity. SD Length: Period for calculating standard deviation. Longer periods smooth volatility. ALMA Length: Period for ALMA. Longer periods increase smoothness. Alma Offset: Shift the moving average toward recent or older prices. Higher offsets emphasize newer data for faster trend detection. ALMA Sigma control the smoothness and lag of the Alma by adjusting the spread of the Gaussian distribution used in the calculation. Alerts This indicator includes optional built-in alert conditions that notify you when the signal crosses above 0 (long signal, price above upper band) or below 0 (short signal, price below lower band). Enable these alerts to get timely updates on potential trend shifts without constantly monitoring the chart. ⚠️ Disclaimer: This indicator is intended for educational and informational purposes only. Trading/investing involves risk, and past performance does not guarantee future results. Always test and evaluate indicators/strategies before applying them in live markets. Use at your own risk.
Indicatore Pine Script®
di oquant
GOLD Auto-Alert Strategy [Enhanced+Signals+UT Bot]New Version The Indicator ✅ BUY Signal Triggers Only If: UT Buy signal flips (from down to up) ADX > Threshold → market has strength RSI is outside the 40–60 range Volume is spiking above 20-bar average × 1.2 EMA Fast > EMA Slow → uptrend confirmed Close > EMA Fast → price above short-term trend Bullish Engulfing candle 🔻 SELL Signal Triggers Only If: UT Sell signal flips (from up to down) ADX > Threshold → market has strength RSI is outside the 40–60 range Volume is spiking above average EMA Fast < EMA Slow → downtrend confirmed Close < EMA Fast → bearish structure Bearish Engulfing candle
Indicatore Pine Script®
di aashiqasmr
Checklist Dashboard Table# Checklist Dashboard Table – ICT/SMC Trading Helper Overview The “Checklist Dashboard Table” is a TradingView indicator designed to help traders structure, organize, and validate their market analyses following the ICT/SMC (Inner Circle Trader / Smart Money Concepts) methodology. It provides a visual and interactive checklist directly on your chart, ensuring you never miss a crucial step in your decision-making process. Key Features - Visual Checklist : All your trading criteria are displayed as color-coded checkboxes (green for validated, red for not validated), making your analysis process both clear and efficient. - Clear Separation Between Analysis and Confirmations : - Analysis : Reminders for your routine, such as timeframe selection (M3 to H4), trend analysis via RSI, and identification of key zones (Midnight Open, SSL/BSL, Asian High/Low). - Confirmations : Six customizable criteria to check off as you validate your setup (clear trend, OB + FVG, OTE zone, Premium/Discount, R/R > 1:2, CBDR/Midnight). - Personal Notes Section : Keep your trade entries, observations, or comments in a dedicated field in the indicator’s settings. Your notes are displayed right in the checklist for quick reference and journaling. - Elegant and Compact Display : The table is styled for readability and can be positioned anywhere on your chart. - Quick Customization : Instantly update any criterion or your personal notes via the script settings. How to Use 1. Add the indicator to your chart. 2. Review the “Analysis” section as your pre-trade routine reminder. 3. Check off the “Confirmations” criteria as you validate your entry strategy. 4. Write your trade notes or comments in the provided notes section. 5. Use the checklist to reinforce discipline and repeatability in your trading. Why Use This Checklist? - Prevents you from skipping important steps in your analysis. - Reinforces trading discipline and consistency. - Allows you to document and review your trade decisions for ongoing improvement. Who Is It For? Perfect for ICT/SMC traders, but also valuable for anyone looking to organize and systematize their trading process. Happy trading!
Indicatore Pine Script®
di Eamda
Useful Open Price Lines - Multi-Timeframe SupportDisplay important opening price levels on your chart with this comprehensive indicator. KEY FEATURES: ✓ Track up to 6 different opening prices simultaneously ✓ Support for intraday time-based opens (any hour:minute) ✓ Higher timeframe opens: Daily, Weekly, Monthly, Quarterly, Semi-Annual, Yearly ✓ Automatic line extension with customizable cutoff ✓ Clean chart option - hide previous day's lines ✓ Full timezone support for global markets ✓ Customizable colors, labels, and line styles USE CASES: - Day traders: Track key session opens (Asian, London, NY) - Swing traders: Monitor weekly and monthly opens - Position traders: Track quarterly and yearly opens - Multi-timeframe analysis: See all key levels at once CUSTOMIZATION: - Choose any time for intraday opens (00:00 - 23:00) - Select from multiple timeframes (D, W, M, 3M, 6M, 12M) - Customize labels, colors, and line styles - Adjust label offset and size - Set line extension cutoff time The indicator is optimized for performance and works smoothly on all timeframes.
Indicatore Pine Script®
di itisfilipe
Fibonacci retracementHi all! This indicator will show you the most recent Fibonacci retracement in the current trend. So if the trend is bullish the Fibonacci retracement will be drawn from swing low to high and from swing high to low in a bearish trend. The uniqueness in this script lies in the adaptation to trend. To only plot the Fibonacci retracements according to the current market trend. The trend is determined through break of structures (BOS) and change of characters (CHoCH). A change of character can be of type change of character plus (with a failed swing) and will then be shown as CHoCH+. This is possible through my library 'MarketStructure' (). It only uses break of structures and change of characters to be able to determine the trend, if you want a more detailed picture of the market structure you can use my script 'Market structure' (). History and what to look for Fibonacci retracement levels are used by many traders and are levels that are not Fibonacci sequence numbers themselves but they deriver from them. Some examples are: 23,6% - Divide a number by one three places ahead (e.g. 13/55) 38,2% - Divide a number by the one two places ahead (e.g. 21/55) 50% - Not from the Fibonacci sequence, but it's a number that price has reacted from in the past. Markets tend to retrace half a move before continuing 61,8% - The "golden retracement level". It derives from the "golden ratio" and is a core component of the Fibonacci sequence. The further you go in the Fibonacci sequence the preceding number divided by the current number will get closer and closer to this "golden ratio". This level is considered the most important Fibonacci retracement level by many traders 78,6% - Square root of 61.8%. This is often considered a deep correction (but not a trend reversal) and are often used for late entries These levels are considered "key" and most significant. You want to look for a retracement of the price (down in a bullish trend and up in a bearish trend) to give you good entries. Settings For the trend you can set the pivot/swing lengths (right and left) and use the checkbox if you want these pivots to have labels. This can be done in the 'Market strucure' section. In the 'Fibonacci retracement' section there is settings for the actual Fibonacci retracement. You can enable the trendline, set the color and the style of it. You can select which levels that should be shown by the indicator. There are 11 levels enabled by default, they are; 0-4.236. All settings in this section tries to be as similar to the "Fib Retracement" tool in Tradingview. You can also select the style of these lines (solid, dashed or dotted) and if you want them to extend to the right or not. After this you can select if the Fibonacci retracement should be reversed or not, if prices should be displayed, if levels should be displayed and if to show the decimal levels or percentages and lastly the font size of these labels. All defaults are based on the "Fib Retracement" tool by Tradingview. Visualization This indicator aims to be as visually similar to the default ("Fib Retracement") tool here on Tradingview. It will plot the Fibonacci retracement (called Auto Fibonacci/Auto fib) according to the trend from the library 'MarketStrucure'. The big differences from the "Fib Retracement" tool by Tradingview is that it's automatic (that adapts to trend), the market structure is visualized through lines and labels (showing 'BOS' for break of structures and 'CHoCH'/'CHoCH+' for change of characters) and that the labels showing information about the levels are positioned to be highly visible (left if <50% otherwise right if in a bullish trend, vice versa in a bearish trend or if reversed). Don't hesitate if you have any feedback or nice feature suggestions! Best of trading luck!
Indicatore Pine Script®
di mickes
DMA Buy & Sell Signal with AlertsThis script identifies **BUY** signals when the 20 DMA crosses **below** the 50 DMA, with the alignment: `200 DMA > 50 DMA > 20 DMA > Price`. It also plots **SELL** signals when the 20 DMA crosses **above** the 50 DMA, with the alignment: `Price > 20 DMA > 50 DMA > 200 DMA`. Each signal is plotted on the chart with green "BUY" and red "SELL" labels. The script includes alert conditions for both signals. It uses simple moving averages (SMA) of 20, 50, and 200 periods.
Indicatore Pine Script®
di ShibouThomas
Supply/Demand Market Structure (SMA Multi-Timeframe)Supply/Demand Based Market Structure Structure + Order Blocks from Synthetic SMA Candles Overview: The SMA Supply/Demand Market Structure indicator combines market structure analysis with supply/demand logic, powered by SMA-based synthetic candles . Instead of relying on raw candle data, this tool generates smoothed higher-timeframe candles using simple moving averages to identify more stable zones and cleaner structure shifts. It detects bullish and bearish breaks of structure (BoS) , highlights swing points like HH, HL, LH, LL , and plots institutional-style supply and demand zones formed from aggressive rallies or drops. The result is a precise and noise-filtered view of market intent, perfect for trend-following or smart money strategies. How It Works: - Synthetic candles are created using SMA of OHLC values on your selected timeframe (HTF). - A bullish break occurs when price closes above the high of the last bearish synthetic candle. - A bearish break occurs when price closes below the low of the last bullish synthetic candle. - Upon break confirmation: - A demand zone is drawn using the last bearish candle. - A supply zone is drawn using the last bullish candle. - Each zone is extended forward for a user-defined number of bars and optionally deleted upon mitigation. - Zigzag-based internal structure connects valid swing points and classifies them as HH, HL, LH, LL , including Liquidity Sweeps (LS) . - BoS levels are highlighted with lines that automatically reset when new structure forms. Key Features: - Synthetic SMA Candles : Smooth and reliable structure from average-based HTF candles - Break Modes : Choose between raw HTF closes or SMA closes for break logic - Custom Timeframe Selection : Analyze structure across any HTF you choose - Dynamic Supply/Demand Zones : Auto-plot boxes from valid rallies/drops - Mitigation Detection : Optionally fade or delete zones when price trades through - Zigzag Structure Mapping : Automatically connect structural highs/lows - BoS Detection : Real-time breakout of swing points with visual confirmation - Smart Labels : Marks HH, HL, LH, LL, and LS directly on the chart - Multi-timeframe Alert System : Notify for all structural changes, BoS, and new zones How to Use: - Set your desired HTF and SMA Length for synthetic candle smoothing. - Use SMA=1 for raw candles - Select a Break Mode : - Raw Close : Uses standard HTF close values - SMA Close : Uses smoothed closes from SMA - Watch for bullish or bearish breaks — zones are plotted when price confirms breakout structure. - Use demand zones as long entry areas and supply zones as short setups on retests. - Rely on internal shifts and zigzag swings to monitor structure continuity. - Enable alerts for swing formations, BoS, and liquidity sweeps to trade hands-free. Recommended Strategies: - Smart Money & ICT Models : Use synthetic demand/supply + BoS for mitigation or continuation plays - Swing Trading : Align with higher timeframe structure and use zones for entry triggers - Trend Trading : Confirm structure alignment and wait for pullbacks into zones - Reversal Entries : Trade structure breaks when zones fail and a BoS confirms the shift Customization Options: - Timeframe input for custom HTF control - SMA Length to adjust candle smoothing - Zone Style : Control zone color, transparency, and duration - Structure Display : Toggle swing labels and zigzag visuals - Alert Mode : Choose between LTF, MTF, or HTF alerts Summary: SMA Supply/Demand Market Structure provides a clean, flexible view of price structure and institutional intent by fusing market structure with SMA-based synthetic candles. It’s ideal for anyone seeking reduced noise, visually guided entries, and rule-based trading based on structural shifts and real-time demand/supply dynamics.
Indicatore Pine Script®
di The_Forex_Steward