Mulakan

Statistics

Stochastic Z-Score [AlgoAlpha]🟠 OVERVIEW This indicator is a custom-built oscillator called the Stochastic Z-Score , which blends a volatility-normalized Z-Score with stochastic principles and smooths it using a Hull Moving Average (HMA). It transforms raw price deviations into a normalized momentum structure, then processes that through a stochastic function to better identify extreme moves. A secondary long-term momentum component is also included using an ALMA smoother. The result is a responsive oscillator that reacts to sharp imbalances while remaining stable in sideways conditions. Colored histograms, dynamic oscillator bands, and reversal labels help users visually assess shifts in momentum and identify potential turning points. 🟠 CONCEPTS The Z-Score is calculated by comparing price to its mean and dividing by its standard deviation—this normalizes movement and highlights how far current price has stretched from typical values. This Z-Score is then passed through a stochastic function, which further refines the signal into a bounded range for easier interpretation. To reduce noise, a Hull Moving Average is applied. A separate long-term trend filter based on the ALMA of the Z-Score helps determine broader context, filtering out short-term traps. Zones are mapped with thresholds at ±2 and ±2.5 to distinguish regular momentum from extreme exhaustion. The tool is built to adapt across timeframes and assets. 🟠 FEATURES Z-Score histogram with gradient color to visualize deviation intensity (optional toggle). Primary oscillator line (smoothed stochastic Z-Score) with adaptive coloring based on momentum direction. Dynamic bands at ±2 and ±2.5 to represent regular vs extreme momentum zones. Long-term momentum line (ALMA) with contextual coloring to separate trend phases. Automatic reversal markers when short-term crosses occur at extremes with supporting long-term momentum. Built-in alerts for oscillator direction changes, zero-line crosses, overbought/oversold entries, and trend confirmation. 🟠 USAGE Use this script to track momentum shifts and identify potential reversal areas. When the oscillator is rising and crosses above the previous value—especially from deeply negative zones (below -2)—and the ALMA is also above zero, this suggests bullish reversal conditions. The opposite holds for bearish setups. Reversal labels ("▲" and "▼") appear only when both short- and long-term conditions align. The ±2 and ±2.5 thresholds act as momentum warning zones; values inside are typical trends, while those beyond suggest exhaustion or extremes. Adjust the length input to match the asset’s volatility. Enable the histogram to explore underlying raw Z-Score movements. Alerts can be configured to notify key changes in momentum or zone entries.
Penunjuk Pine Script®
oleh AlgoAlpha
5
Market to NAV Premium Arbitrage Alpha IndicatorBitcoin treasury companies such as Microstrategy are known for trading at significant premiums. but how big exactly is the premium? And how can we measure it in real time? I developed this quantitative tool to identify statistical mispricings between market capitalization and net asset value (NAV), specifically designed for arbitrage strategies and alpha generation in Bitcoin-holding companies, such as MicroStrategy or Sharplink Gaming, or SPACs used primarily to hold cryptocurrencies, Bitcoin ETFs, and other NAV-based instruments. It can probably also be used in certain spin-offs. KEY FEATURES: ✅ Real-time Premium/Discount Calculation • Automatically retrieves market cap data from TradingView • Calculates precise NAV based on underlying asset holdings (for example Bitcoin) • Formula: (Market Cap - NAV) / NAV × 100 ✅ Statistical Analysis • Historical percentile rankings (customizable lookback period) • Standard deviation bands (2σ) for extreme value detection (close to these values might be seen as interesting points to short or go long) • Smoothing period to reduce noise ✅ Multi-Source Market Cap Detection • You can add the ticker of the NAV asset, but if necessary, you can also put it manually. Priority system: TradingView data → Calculated → Manual override ✅ Advanced NAV Modeling • Basic NAV: Asset holdings + cash. • Adjusted NAV: Includes software business value, debt, preferred shares. If the company has a lot of this kind of intrinsic value, put it in the "cash" field • Support for any underlying asset (BTC, ETH, etc.) TRADING APPLICATIONS: 🎯 Pairs Trading Signals • Long/Short opportunities when premium reaches statistical extremes • Mean reversion strategies based on historical ranges • Risk-adjusted position sizing using percentile ranks 🎯 Arbitrage Detection • Identifies when market pricing significantly deviates from fair value • Quantifies the magnitude of mispricing for profit potential • Historical context for timing entry/exit points CONFIGURATION OPTIONS: • Underlying Asset: Any symbol (default: COINBASE:BTCUSD) NEEDS MANUAL INPUT • Asset Quantity: Precise holdings amount (for example, how much BTC does the company currently hold). NEEDS MANUAL INPUT • Cash Holdings: Additional liquid assets. NEEDS MANUAL INPUT • Market Cap Mode: Auto-detect, calculated, or manual • Advanced Adjustments: Business value, debt, preferred shares • Display Settings: Lookback period, smoothing, custom colors IT CAN BE USED BY: • Quantitative traders focused on statistical arbitrage • Institutional investors monitoring NAV-based instruments • Bitcoin ETF and MSTR traders seeking alpha generation • Risk managers tracking premium/discount exposures • Academic researchers studying market efficiency (as you can see, markets are not efficient 😉)
Penunjuk Pine Script®
oleh HenriqueCentieiro
GLOBEX BOX v1.0All credit to the creator and teacher of this strategy, @RS. The "GOBEX BOX v1.0" indicator draws customizable horizontal rectangles (with optional midlines and labels) around specific opening candles in the EST timezone ("America/New_York"). It highlights: The 09:30–09:31 EST 1-minute candle high/low for Monday through Friday. The 18:00–18:05 EST 5-minute candle high/low for Sunday through Thursday. Various customizable features are in the indicator settings. Happy trading!
Penunjuk Pine Script®
oleh Sherbertt
Clarix 5m Scalping Breakout StrategyPurpose A 5-minute scalping breakout strategy designed to capture fast 3-5 pip moves, using premium/discount zone filters and market bias conditions. How It Works The script monitors price action in 5-minute intervals, forming a 15-minute high and low range by tracking the highs and lows of the first 3 consecutive 5-minute candles starting from a custom time. In the next 3 candles, it waits for a breakout above the 15m high or below the 15m low while confirming market bias using custom equilibrium zones. Buy signals trigger when price breaks the 15m high while in a discount zone Sell signals trigger when price breaks the 15m low while in a premium zone The strategy simulates trades with fixed 3-5 pip take profit and stop loss values (configurable). All trades are recorded in a backtest table with live trade results and an automatically updated win rate. Features Designed exclusively for the 5-minute timeframe Custom 15-minute high/low breakout logic Premium, Discount, and Equilibrium zone display Built-in backtest tracker with live trade results, statistics, and win rate Customizable start time, take profit, and stop loss settings Real-time alerts on breakout signals Visual markers for trade entries and failed trades Consistent win rate exceeding 90–95% on average when following market conditions Usage Tips Use strictly on 5-minute charts for accurate signal performance. Avoid during high-impact news releases. Important: Once a trade is opened, manually set your take profit at +3 to +5 pips immediately to secure the move, as these quick scalps often hit the target within a single candle. This prevents missed exits during rapid price action.
Penunjuk Pine Script®
oleh CLARIX_WEALTH
Markov Chain Trend ProbabilityA Markov Chain is a mathematical model that predicts future states based on the current state, assuming that the future depends only on the present (not the past). Originally developed by Russian mathematician Andrey Markov, this concept is widely used in: Finance: Risk modeling, portfolio optimization, credit scoring, algorithmic trading Weather Forecasting: Predicting sunny/rainy days, temperature patterns, storm tracking Here's an example of a Markov chain: If the weather is sunny, the probability that will be sunny 30 min later is say 90%. However, if the state changes, i.e. it starts raining, how the probability that will be raining 30 min later is say 70% and only 30% sunny. Similar concept can be applied to markets price action and trends. Mathematical Foundation The core principle follows the Markov Property: P(X_{t+1}|X_t, X_{t-1}, ..., X_0) = P(X_{t+1}|X_t) Transition Matrix : -------------Next State Current---- --------P11 P12 -----P21 P22 Probability Calculations: P(Up→Up) = Count(Up→Up) / Count(Up states) P(Down→Down) = Count(Down→Down) / Count(Down states) Steady-state probability: π = πP (where π is the stationary distribution) State Definition: State = UPTREND if (Price_t - Price_{t-n})/ATR > threshold State = DOWNTREND if (Price_t - Price_{t-n})/ATR < -threshold How It Works in Trading This indicator applies Markov Chain theory to market trends by: Defining States: Classifies market conditions as UPTREND or DOWNTREND based on price movement relative to ATR (Average True Range) Learning Transitions: Analyzes historical data to calculate probabilities of moving from one state to another Predicting Probabilities: Estimates the likelihood of future trend continuation or reversal How to Use Parameters: Lookback Period: Number of bars to analyze for trend detection (default: 14) ATR Threshold: Sensitivity multiplier for state changes (default: 0.5) Historical Periods: Sample size for probability calculations (default: 33) Trading Applications: Trend confirmation for entry/exit decisions Risk assessment through probability analysis Market regime identification Early warning system for potential trend reversals The indicator works on any timeframe and asset class. Enjoy!
Penunjuk Pine Script®
oleh HenriqueCentieiro
ES Gap Trading Levels# ES Gap Trading Levels ## Overview A professional gap trading indicator designed specifically for ES Futures traders. This indicator automatically captures the closing price at 3:59 PM ET (NYSE close) and immediately displays key gap levels for the evening trading session starting at 6:00 PM ET. ## Key Features ### ✅ **Automatic Gap Level Detection** - Captures ES Futures closing price at 3:59-4:00 PM ET - Instantly displays gap levels for immediate session planning - Resets daily for fresh gap analysis ### ✅ **Six Critical Gap Levels** - **±10 Points** (White lines) - Short-term gap targets - **±20 Points** (Light Blue lines) - Medium gap targets - **±30 Points** (Red lines) - Extended gap targets ### ✅ **Professional Display** - Clean horizontal lines with customizable colors - Clear labels showing point values (+30, +20, +10, -10, -20, -30) - Gap levels table showing exact price targets - Optional closing price reference line ### ✅ **Customizable Settings** - Adjustable line colors, width, and extension - Toggle labels and reference table on/off - Manual closing price override for testing - Debug mode for troubleshooting ### ✅ **Smart Management** - Automatic cleanup of previous day's levels - Lines appear immediately after market close - Optimized for ES1!, MES1!, and other ES futures contracts ## How It Works 1. **Market Close Capture**: At 3:59 PM ET, the indicator captures the ES closing price 2. **Instant Display**: Gap levels immediately appear on your chart 3. **Evening Session Ready**: Lines are positioned for 6:00 PM ET session start 4. **Daily Reset**: Old levels are automatically cleared each new trading day ## Perfect For: - Gap trading strategies - Overnight futures trading - ES futures scalping - Session transition analysis - Risk management levels ## Usage Tips: - Best used on 1-15 minute ES futures charts - Ensure chart timezone shows ET times - Use manual mode for backtesting specific dates - Combine with volume and momentum indicators ## Settings Guide: - **Display Settings**: Control lines, labels, and table visibility - **Colors**: Customize each gap level color scheme - **Manual Settings**: Override closing price for testing - **Debug**: View time detection and diagnostic information *Designed by traders, for traders. Clean, professional, and reliable gap level detection for serious ES futures trading.*
Penunjuk Pine Script®
oleh CeresTrader
HTF Current/Average RangeThe "HTF(Higher Timeframe) Current/Average Range" indicator calculates and displays the current and average price ranges across multiple timeframes, including daily, weekly, monthly, 4 hour, and user-defined custom timeframes. Users can customize the lookback period, table size, timeframe, and font color; with the indicator efficiently updating on the final bar to optimize performance. When the current range surpasses the average range for a given timeframe, the corresponding table cell is highlighted in green, indicating potential maximum price expansion and signaling the possibility of an impending retracement or consolidation. For day trading strategies, the daily average range can serve as a guide, allowing traders to hold positions until the current daily range approaches or meets the average range, at which point exiting the trade may be considered. For scalping strategies, the 15min and 5min average range can be utilized to determine optimal holding periods for fast trades. Other strategies: Intraday Trading - 1h and 4h Average Range Swing Trading - Monthly Average Range Short-term Trading - Weekly Average Range Also using these statistics in accordance with Power 3 ICT concepts, will assist in holding trades to their statistical average range of the chosen HTF candle. CODE The core functionality lies in the data retrieval and table population sections. The request.security function (e.g., = request.security(syminfo.tickerid, "D", , lookahead = barmerge.lookahead_off)) retrieves high and low prices from specified timeframes without lookahead bias, ensuring accurate historical data. These values are used to compute current ranges and average ranges (ta.sma(high - low, avgLength)), which are then displayed in a dynamically generated table starting at (if barstate.islast) using table.new, with conditional green highlighting when the current range is greater than average range, providing a clear visual cue for volatility analysis.
Penunjuk Pine Script®
oleh Eightgent7
Synthetic VX3! & VX4! continuous /VX futuresTradingView is missing continuous 3rd and 4th month VIX (/VX) futures, so I decided to try to make a synthetic one that emulates what continuous maturity futures would look like. This is useful for backtesting/historical purposes as it enables traders to see how their further out VX contracts would've performed vs the front month contract. The indicator pulls actual realtime data (if you subscribe to the CBOE data package) or 15 minute delayed data for the VIX spot (the actual non-tradeable VIX index), the continuous front month (VX1!), and the continuous second month (VX2!) continually rolled contracts. Then the indicator's script applies a formula to fairly closely estimate how 3rd and 4th month continuous contracts would've moved. It uses an exponential mean‑reversion to a long‑run level formula using: σ(T) = θ+(σ0−θ)e−kT You can expect it to be off by ~5% or so (in times of backwardation it might be less accurate).
Penunjuk Pine Script®
oleh djayjp
BTC Breakout Bot (TP/SL + Alerts) 🚀This strategy targets Bitcoin (BTC/USDT) breakout trades by detecting price moves beyond recent highs and lows, with built-in risk management and alerts. How it works: 📈 Long Entry: When price breaks above the highest high of the last N candles (default 20) 📉 Short Entry: When price breaks below the lowest low of the last N candles 🎯 Take Profit: Automatically set at a percentage from entry price (default 5%) ⚠️ Stop Loss: Automatically set at a percentage from entry price (default 2%) 🔔 Alerts: Triggered on every long and short breakout trade, compatible with Telegram/webhook notifications Parameters: ⏳ Breakout Lookback: Number of candles used to identify breakout levels (default 20) 💰 Take Profit (%): Profit target as % from entry (default 5%) 🛑 Stop Loss (%): Maximum allowed loss as % from entry (default 2%)
Strategi Pine Script®
oleh MEDUSA7
Simple SMA StrategyThis strategy uses two Simple Moving Averages (SMAs) to spot trend changes and generate trade signals on any market or timeframe. How it works: ➡️ Long Entry: When the fast SMA (default 14) crosses above the slow SMA (default 28), enter a long position. ⬇️ Short Entry: When the fast SMA crosses below the slow SMA, enter a short position. 🔄 Exit: Positions close when the opposite crossover happens, capturing trend reversals. Features: ⚙️ Adjustable SMA lengths for different markets or styles 💰 Position sizing as % of equity (default 1%) for risk management 📊 Plots fast (blue) and slow (orange) SMAs on the chart 🔔 Alerts on every long & short entry crossover for automation or notifications Use Cases: Perfect for trend-following traders in crypto, stocks, forex, and more — simple and effective. ⚠️ Disclaimer Backtests and alerts are based on historical data and don’t guarantee future results. Always test carefully and manage your risk!
Strategi Pine Script®
oleh MEDUSA7
My strategyThis strategy is designed for BTC/USDT breakout trading on short-to-medium timeframes. It enters positions when price breaks out above recent highs or below recent lows, using automated risk management and alerts. 🔍 Core Logic Long entry: When price breaks above the highest high of the last N candles (default: 20). Short entry: When price breaks below the lowest low of the last N candles. This logic helps detect momentum-driven breakout moves based on recent price consolidation. ⚙️ Strategy Settings Capital: $10,000 Order size: 1% of equity per trade Commission: 0.1% per trade (simulating exchange fees) Slippage: 3 ticks (for realism) Take Profit: 3% from entry Stop Loss: 1.5% from entry These settings aim to provide realistic, risk-conscious backtest results, suitable for individual traders. 📊 Visual Features Green line = Breakout High Red line = Breakout Low Entry/exit markers are plotted on the chart 🔔 Alerts Alerts are integrated for: Long Entry Short Entry You can create TradingView alerts using this script to automate notifications or connect to external bots (e.g., via webhook for Telegram or Discord). 🧠 How This Strategy Is Different While many breakout bots use standard Donchian channels, this version allows you to: Tune the breakout sensitivity (via the adjustable lookback period) Customize TP/SL without external inputs Integrate alerts for real-time decision making or automation The simplicity and flexibility make it useful as both a live tool and a framework for further development. ⚠️ Disclaimer This script is for educational purposes only. Backtests are based on historical data and do not guarantee future results. Always test thoroughly before using in live trading. Risk only what you can afford to lose.
Strategi Pine Script®
oleh MEDUSA7
Waterfall ScreenerHow to Use This to Screen Stocks: A Step-by-Step Guide Save the Screener Script: Open the Pine Editor, paste the code above, and save it with a clear name like "Waterfall Screener". Open the Stock Screener: Go to the TradingView homepage or any chart page and click the "Screener" tab at the bottom. Make sure you are on the "Stock" screener. Set Your Market: Choose the market you want to scan (e.g., NASDAQ, NYSE). Add Your Custom Filter (The Magic Step): Click the "Filters" button on the right side of the screener panel. In the search box that appears, type the name of your new script: "Waterfall Screener". It will appear as a selectable filter. Click it. Configure the Filter: A new filter will appear in your screener list named "Waterfall Screener". You can now set conditions for the "ScreenerSignal" value we plotted. To find stocks with a new, actionable trade plan, set the filter to: Waterfall Screener | Equal | 1 Refine and Scan: Add other essential filters to reduce noise, such as: Volume > 1M (to find liquid stocks) Market Cap > 1B (to find established companies) The screener will now automatically update and show you a list of all stocks that currently have a "PENDING_ENTRY" setup according to the indicator's logic and your chosen timeframe (e.g., Daily).
Penunjuk Pine Script®
oleh somberDinosaur23703
Custom Screener with Alerts @RAMLAKSHMANDASScan the Nifty 50 directly on TradingView! This script provides a real-time screener for the top 40 Nifty 50 stocks ranked by current index weightage (starting from RELIANCE, HDFCBANK, ICICIBANK, etc.), offering rapid on-chart multi-symbol analysis. Features Multi-symbol screener: Monitors the leading 40 Nifty constituents (NSE equities) in one view. Full indicator table: Get snapshot values for Price, RSI, TSI, ADX, and SuperTrend for every symbol. Dynamic filtering: Instantly filter results by any indicator value (e.g., highlight all stocks with RSI below 30). Customizable symbols: Easily edit the symbol list to match updated Nifty composition or your stocks of interest. Multi-timeframe support: Table values will update for any chosen chart timeframe. Real-time alerts: Set up alerts for filtered stocks matching your strategy.
Penunjuk Pine Script®
oleh Bull_Bear_Beast
MVRV Altcoins📌 Technical Description of Indicator: MVRV Altcoins This advanced script calculates the Market Value to Realized Value (MVRV) ratio across multiple cryptocurrencies simultaneously. It offers two analytical modes: Normal and Z-Score, optimized for visual comparison and real-time monitoring of up to 13 predefined assets. If a user applies the indicator to a symbol that is not among the 13 programmed assets, the default behavior displays the Bitcoin chart as a fallback reference. 🔍 What Is MVRV and Why Is It Important? MVRV is an on-chain metric designed to assess whether a cryptocurrency is overvalued or undervalued by comparing its market capitalization to its realized capitalization. - Market Cap: The total circulating supply multiplied by the current market price. - Realized Cap: The sum value of all coins based on the price at the time they last moved on-chain, offering a time-weighted valuation. Normal Calculation: MVRV_Normal = Market Cap / Realized Cap This version reflects investor profitability and identifies potential accumulation or distribution zones. 📊 Z-Score Calculation: MVRV_ZScore = (Market Cap − Realized Cap) / Standard Deviation of Market Cap This formula evaluates how extreme the current market conditions are compared to historical norms. It normalizes the difference using statistical dispersion, turning it into a volatility-aware metric that better reflects valuation extremes. 🔎 How Market Cap Is Computed Unlike conventional indicators relying on consolidated feeds, this script uses modular components from CoinMetrics to construct the active capitalization more accurately, especially for altcoins. Here's the breakdown: Active Capitalization = MARKETCAPFF + MARKETCAPACTSPLY Realized Capitalization = MARKETCAPREAL Component Definitions: - MARKETCAPFF: Market Cap Free Float — total valuation based only on truly circulating coins. - MARKETCAPACTSPLY: Capitalization from actively circulating supply — filters dormant or locked coins. - MARKETCAPREAL: Realized Cap — historical valuation weighted by the last on-chain movement of each coin. This method offers enhanced precision and compatibility across assets that may lack comprehensive data from centralized providers. ⚙️ User-Configurable Parameters - MVRV Mode: Choose between Normal and Z-Score. - Percentage Scale View: If enabled, visual output is scaled using predefined divisors (100 / 3.5 or 100 / 6). - Thresholds for Analysis: - Normal mode: Define overbought and oversold levels (default 1.0 and 3.5). - Z-Score mode: Configure statistical boundaries (default 0.0 and 6.0). - Table Controls: - Adjustable position on screen (9 options). - Font size customization: tiny, small, normal, large. - Color scheme personalization: - Header: text and background - Body: text and background - Central column separator color 📊 Multicrypto Table Architecture The indicator renders a high-performance visual table displaying data from up to 13 assets simultaneously. Each asset is represented as a vertical column featuring eigth historical data points plus the most recent value. - Assets are displayed in two blocks separated by a decorative column. - Each value is rounded to one decimal place for clarity. - Cells are styled dynamically based on user settings. 🎨 Decorative Column Separator Since the entire table is built as a unified structure, a color-configurable empty column is inserted mid-table to act as a visual divider. This approach improves readability and aesthetic balance without duplicating code or splitting table logic. 🔁 Default Behavior on Unsupported Assets If the active chart is not one of the 13 predefined assets, the indicator will automatically display Bitcoin’s data. This ensures the chart remains functional and informative even outside the target asset group. 🎯 Color Interpretation by Condition The MVRV value for each asset is highlighted using a traffic light system: - Green: Undervalued (below oversold threshold) - Red: Overvalued (above overbought threshold) - Yellow: Neutral zone This coding simplifies decision-making and visual scanning across assets. Final Notes This indicator is modular and fully adaptable, with well-commented sections designed for efficient customization. Its multiactive architecture makes it a valuable tool for crypto analysts tracking diversified portfolios beyond Bitcoin and Ethereum. It supports visual storytelling across assets, comparative historical evaluation, and identification of strategic zones — whether for accumulation, distribution, or monitoring on-chain sentiment.
Penunjuk Pine Script®
oleh Trader_Algoritmico
Days Since ±1% Move on CloseInterpretation & Use‑Case The “Days Since ±1% Move” indicator simply tells you how many trading days have passed since the last daily close that moved at least 1% in either direction. Here’s how to put it to work: Complacency Gauge A long stretch without a ≥1% move often signals that realized volatility has collapsed and market participants may be under‑positioned for a sudden swing. Positioning Insight When institutional hedges and systematic strategies see low recent volatility, they tend to scale back protection (fewer options hedges, tighter risk limits), which can amplify the impact of any eventual volatility pickup. Mean‑Reversion Signal After an extended streak (e.g. 20–30 days), a fresh ≥1% move is more likely—and often more violent—because pent‑up positioning flows rush to adjust. Trend Confirmation Conversely, a reset in the count (i.e., a new ≥1% move) that coincides with strong volume and follow‑through suggests genuine directional conviction rather than just a volatility “blip.”
Penunjuk Pine Script®
oleh furkan.baran3
MR.Z Strategy Reversal Signal Nadaraya SMA)Nadaraya-Watson Envelope (NW Envelope): A smoothed, non-linear dynamic envelope that adapts to price structure. It visually identifies price extremes using kernel regression. The upper and lower bands move with the chart and provide reliable dynamic support and resistance. EMA Levels: Includes three key exponential moving averages: EMA 50 (short-term trend) EMA 100 (medium-term) EMA 200 (long-term, institutional level) Fully Scrollable and Responsive: All lines and envelopes are plotted using plot() so they move with the chart and respond to zoom and pan actions naturally. 🧠 Ideal Use: Identify reversal zones, dynamic support/resistance, and trend momentum exhaustion. Combine WTB and NW Envelope for confluence-based entries. Use EMA structure for trend confirmation or breakout anticipation. Let me know if you'd like to add: Divergence detection Buy/Sell signals Alerts or signal filtering options I’ll be happy to extend the description or the script accordingly!
Penunjuk Pine Script®
oleh grigory84
MA Table [RanaAlgo]The "MA Table " indicator is a comprehensive and visually appealing tool for tracking moving average signals in TradingView. Here's a short summary of its usefulness: Key Features: Dual MA Support: Tracks both EMA (Exponential Moving Average) and SMA (Simple Moving Average) signals (10, 20, 30, 50, 100 periods). Users can toggle visibility for EMA/SMA separately. Clear Signal Visualization: Displays Buy (▲) or Sell (▼) signals based on price position relative to each MA. Color-coded (green for buy, red for sell) for quick interpretation. Customizable Table Design: Adjustable position (9 placement options), colors, text size, and border styling. Alternating row colors improve readability. Optional MA Plots: Can display the actual MA lines on the chart for visual confirmation (with distinct colors/styles). Usefulness: Quick Overview: The table consolidates multiple MA signals in one place, saving time compared to checking each MA individually. Trend Confirmation: Helps confirm trend strength when multiple MAs align (e.g., price above all MAs → strong uptrend). Flexible: Suitable for both short-term (10-20 period) and long-term (50-100 period) traders. Aesthetic: Professional design enhances chart clarity without clutter. Ideal For: Traders who rely on moving average crossovers or price-MA relationships. Multi-timeframe analysis when combined with other tools. Beginners learning MA strategies (clear visual feedback).
Penunjuk Pine Script®
oleh RanaAlgo