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Deadband Hysteresis Supertrend [BackQuant]Deadband Hysteresis Supertrend A two-stage trend tool that first filters price with a deadband baseline, then runs a Supertrend around that baseline with optional flip hysteresis and ATR-based adverse exits. What this is A hybrid of two ideas: Deadband Hysteresis Baseline that only advances when price pulls far enough from the baseline to matter. This suppresses micro noise and gives you a stable centerline. Supertrend bands wrapped around that baseline instead of raw price. Flips are further gated by an extra margin so side changes are more deliberate. The goal is fewer whipsaws in chop and clearer regime identification during trends. How it works (high level) Deadband step — compute a per-bar “deadband” size from one of four modes: ATR, Percent of price, Ticks, or Points. If price deviates from the baseline by more than this amount, move the baseline forward by a fraction of the excess. If not, hold the line. Centered Supertrend — build upper and lower bands around the baseline using ATR and a user factor. Track the usual trailing logic that tightens a band while price moves in its favor. Flip hysteresis — require price to exceed the active band by an extra flip offset × ATR before switching sides. This adds stickiness at the boundary. Adverse exit — once a side is taken, trigger an exit if price moves against the entry by K × ATR . If you would like to check out the filter by itself: What it plots DBHF baseline (optional) as a smooth centerline. DBHF Supertrend as the active trailing band. Candle coloring by trend side for quick read. Signal markers 𝕃 and 𝕊 at flips plus ✖ on adverse exits. Inputs that matter Price Source — series being filtered. Close is typical. HL2 or HLC3 can be steadier. Deadband mode — ATR, Percent, Ticks, or Points. This defines the “it’s big enough to matter” zone. ATR Length / Mult (DBHF) — only used when mode = ATR. Larger values widen the do-nothing zone. Percent / Ticks / Points — alternatives to ATR; pick what fits your market’s convention. Enter Mult — scales the deadband you must clear before the baseline moves. Increase to filter more noise. Response — fraction of the excess applied to baseline movement. Higher responds faster; lower is smoother. Supertrend ATR Period & Factor — traditional band size controls; higher factor widens and flips less often. Flip Offset ATR — extra ATR buffer required to flip. Useful in choppy regimes. Adverse Stop K·ATR — per-trade danger brake that forces an exit if price moves K×ATR against entry. UI — toggle baseline, supertrend, signals, and bar painting; choose long and short colors. How to read it Green regime — candles painted long and the Supertrend running below price. Pullbacks toward the baseline that fail to breach the opposite band often resume higher. Red regime — candles painted short and the Supertrend running above price. Rallies that cannot reclaim the band may roll over. Frequent side swaps — reduce sensitivity by increasing Enter Mult, using ATR mode, raising the Supertrend factor, or adding Flip Offset ATR. Use cases Bias filter — allow entries only in the direction of the current side. Use your preferred triggers inside that bias. Trailing logic — treat the active band as a dynamic stop. If the side flips or an adverse K·ATR exit prints, reduce or close exposure. Regime map — on higher timeframes, the combination baseline + band produces a clean up vs down template for allocation decisions. Tuning guidance Fast markets — ATR deadband, modest Enter Mult (0.8–1.2), response 0.2–0.35, Supertrend factor 1.7–2.2, small Flip Offset (0.2–0.5 ATR). Choppy ranges — widen deadband or raise Enter Mult, lower response, and add more Flip Offset so flips require stronger evidence. Slow trends — longer ATR periods and higher Supertrend factor to keep you on side longer; use a conservative adverse K. Included alerts DBHF ST Long — side flips to long. DBHF ST Short — side flips to short. Adverse Exit Long / Short — K·ATR stop triggers against the current side. Strengths Deadbanded baseline reduces micro whipsaws before Supertrend logic even begins. Flip hysteresis adds a second layer of confirmation at the boundary. Optional adverse ATR stop provides a uniform risk cut across assets and regimes. Clear visuals and minimal parameters to adjust for symbol behavior. Putting it together Think of this tool as two decisions layered into one view. The deadband baseline answers “does this move even count,” then the Supertrend wrapped around that baseline answers “if it counts, which side should I be on and where do I flip.” When both parts agree you tend to stay on the correct side of a trend for longer, and when they disagree you get an early warning that conditions are changing. When the baseline bends and price cannot reclaim the opposite band , momentum is usually continuing. Pullbacks into the baseline that stall before the far band often resolve in trend. When the baseline flattens and the bands compress , expect indecision. Use the Flip Offset ATR to avoid reacting to the first feint. Wait for a clean band breach with follow through. When an adverse K·ATR exit prints while the side has not flipped , treat it as a risk event rather than a full regime change. Many users cut size, re-enter only if the side reasserts, and let the next flip confirm a new trend. Final thoughts Deadband Hysteresis Supertrend is best read as a regime lens. The baseline defines your tolerance for noise, the bands define your trailing structure, and the flip offset plus adverse ATR stop define how forgiving or strict you want to be at the boundary. On strong trends it helps you hold through shallow shakeouts. In choppy conditions it encourages patience until price does something meaningful. Start with settings that reflect the cadence of your market, observe how often flips occur, then nudge the deadband and flip offset until the tool spends most of its time describing the move you care about rather than the noise in between.
Pine Script® 인디케이터
BackQuant의
8
Fixed Range Volume Profile"Distribution of transaction volume by price group (transaction volume by price block)" Instructions for use (Professional Manual) 1. a basic concept By vertical axis (price), shows the cumulative trading volume traded in the segment. The longer the block, the more transactions took place in that price range. Colors distinguish between buying/selling strength (green = buying advantage, red = selling advantage). 2. Key components POC (Point of Control) → Longest block (most traded price segment, "key selling point"). VAH / VAL (Value Area High/Low) → Top/bottom segments where approximately 70% of the total volume is formed. → Role of "Major Support/Resistance". High Capacity Node (HVN) → Significantly higher trading volumes → strong support/resistance. Low Volume Node (LVN) → Low volume section → areas where prices are easily passed. 3. practical application Find Support/Resistance The thickest block (POC) is used as a place where prices often rebound/resist. a trading entry/liquidation strategy Buy if the price is supported near HVN, When breaking through the LVN, fast movement (gap movement) can be expected. break/goal setting Finger = Under the LVN, Target = Next HVN. Judgment of trends When the block distribution is concentrated above, "Increase to Collection Section" If you're driven below, you're "in a downtrend to a variance section." 4. Precautions The volume distribution is "past data based" and is not an indicator of the future. Rather than using it alone, it is more effective to combine with Fibonacci, trend lines, and candle patterns. In particular, in the volatile market, the LVN breakthrough → may signal a surge/fall. In summary, this block indicator is "a map showing the most market participants at any price point". In other words, it is useful for finding support/resistance as a tool for analyzing sales and establishing the basis for trading strategies.
Pine Script® 인디케이터
xxxbit의
2
Crypto OI AgregatedCrypto OI Aggregated — Open Interest Aggregator for Crypto Exchanges General Description The indicator is designed for comprehensive analysis of Open Interest (OI) across major cryptocurrency exchanges. It consolidates data from multiple platforms, visualizes it as candlestick charts or deltas, and builds tables with breakdowns by exchange and contract type. This allows traders to quickly understand where market interest is concentrated and how the market structure is shifting. Unlike standard tools that only show data from a single exchange, this indicator provides a full market overview and makes it easy to compare dynamics across different platforms. ⸻ Key Features • Aggregation of OI data from exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit (feel free to leave a comment if you’d like me to add other exchanges that provide open interest data) • Support for contract types: USDT.P, USD.P, USDC.P, USD.PM • Automatic normalization of various OI data formats from different providers • Display modes: • OI candlestick chart (total aggregated OI) • OI Delta (change in OI per bar) • Full table with detailed data by exchange and contract type • Short summary table with totals in USD and base assets • Support for USD or COIN denomination • Convenient formatting for large numbers • Customizable colors ⸻ How to Use the Indicator 1. Select Exchanges In the settings, enable or disable specific exchanges. It is recommended to activate only the ones you need for analysis — this will make the indicator faster. 2. Choose Data Type • OI — aggregated open interest from selected exchanges. • OI delta — delta (change in OI compared to the previous bar). 3. Denomination • USD — values are converted into USD equivalents. • COIN — values are shown in the base asset (BTC, ETH, etc.). 4. Reading the Chart • OI candlesticks show the overall OI dynamics. • Delta histogram highlights how much OI has grown or decreased per bar. • Colors are fully customizable. 5. Tables • Enabled via the Show table option. • Full Table → Rows = exchanges, Columns = contract types. Cells contain OI values in either USD or the base asset, depending on settings. Quickly shows where the main interest is concentrated. • Short Table → Displays only the total OI values in USD and the base asset. ⸻ Important Notes • For better readability of large values, two custom formatting functions were implemented. They work similarly to format.volume, but with improved digit grouping and adjustable decimal precision. In the tables, the top row is formatted using format.volume, while the bottom row uses the improved formatting functions for clearer representation. str(d, n, s) => str.substring(d, 0, str.length(d) - n) + '.' + str.substring(d, str.length(d) - n, str.length(d) - (n - 2)) + s format(_r) => d = str.tostring(math.round(_r)) str.length(d) > 9 ? str(d, 9, " B") : str.length(d) > 6 ? str(d, 6, " M") : str.length(d) > 3 ? str(d, 3, " K") : d ⸻ Conclusion: Crypto OI Aggregated is a convenient and powerful tool for cryptocurrency derivatives traders. It enables tracking of OI dynamics across multiple exchanges simultaneously, detecting imbalances between contracts, and identifying signals that are not visible when analyzing a single exchange.
Pine Script® 인디케이터
NoveltyTrade의
4
RotationSUITE [BitAura]𝐑otation𝑺𝑼𝑰𝑻𝑬 This Pine Script® indicator is a dynamic, multi-asset rotation system designed to optimize portfolio allocation by selecting the strongest-performing cryptocurrency from a user-defined basket of up to four assets, with USD as a cash position. By leveraging two complementary relative strength strategies and a proprietary Confidence Score, the system adapts to changing market conditions to aim for superior risk-adjusted returns compared to a buy-and-hold approach. Logic and Core Concepts The system’s goal is to allocate capital to the strongest asset at any given time, dynamically switching between two strategies based on market conditions: 1. Ratios System (Primary Strategy) Mechanism : Performs relative strength analysis by evaluating the trend of each asset pair (e.g., BTCUSD/ETHUSD, BTCUSD/SOLUSD) using a universal trend-capturing function. Scoring : Each asset earns points based on how many other assets (including USD) it outperforms. Allocation : Allocates 100% of the portfolio to the asset with the highest score, following a "long the strongest" approach. 2. Alpha System (Defensive Strategy) Mechanism : Measures each asset’s alpha (excess return relative to market risk, or beta) against a broad market benchmark. A fast trend-following model confirms momentum. Allocation : Allocates to the asset with the highest positive alpha and confirmed momentum, or to USD if no asset meets the criteria. 3. Confidence Score (Decision Engine) Monitors the Ratios System’s performance. High Confidence : Uses the Ratios System for allocation during strong trends. Low Confidence : Switches to the Alpha System or USD during choppy or corrective markets. Features Dynamic Strategy Switching : Seamlessly transitions between Ratios and Alpha systems based on the Confidence Score. Customizable Asset Basket : Supports up to four user-defined crypto assets (e.g., INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , CRYPTO:SUIUSD ). Comprehensive Visuals : Performance Metrics Table : Displays Sharpe, Sortino, Omega, Max Drawdown, and Profit Factor for the system, its sub-strategies, and individual assets’ buy-and-hold performance. Rotation Matrix : Shows pairwise trend scores for the Ratios System and alpha/trend data for the Alpha System. Allocation Table : Indicates the current portfolio allocation (in %). Equity Curve Analysis : Plots equity curves for the system, sub-strategies, and buy-and-hold for comparison. Configurable Alerts : Notifies users of changes in allocation or Confidence Score. Pine Script v6 : Utilizes advanced features like matrices and table formatting for enhanced usability. How to Use Add to Chart : Apply the indicator to any chart (the chart’s ticker does not affect calculations). Configure Assets : In the settings ( Inputs -> Majors Rotation System Tickers ), define up to four crypto assets. Defaults include INDEX:BTCUSD , INDEX:ETHUSD , CRYPTO:SOLUSD , and CRYPTO:SUIUSD . Set Allocation Type : Choose Aggressive (100% to top asset), Moderate (80/20 split), or Conservative (60/40 split) in the settings. Monitor Output : The Portfolio Allocations table shows the current allocation. Use the Performance Metrics and Rotation Matrix tables for deeper insights. Analyze Equity : Enable equity curve plots in the settings to visualize performance. Set Alerts : Right-click a plot, select "Add alert," and choose "Confidence Score changed" or "Calculated Portfolio Allocations Changed" to receive notifications. The system uses robust trend and alpha functions, tested across various timeframes (4h, 8h, 12h) and asset pools to ensure reliability. Notes The script is closed-source Ensure the chart uses a standard price series (not Heikin Ashi or other non-standard types) for accurate results. The script avoids lookahead bias by using barmerge.lookahead_off in request.security() calls. Performance metrics are calculated only on the last confirmed bar to optimize runtime efficiency. Disclaimer : This script is for educational and analytical purposes only and does not constitute financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and apply proper risk management.
Pine Script® 인디케이터
BitAura의
Trade Holding Time Background HighlighterTrade Holding Time Background Highlighter This script visually highlights the chart background based on how old each bar is relative to the current time. It’s designed for crypto futures traders (and other active traders) who want to quickly see whether price action falls inside a day trading window, a swing trading window, or is considered older history. ⸻ 🔑 Features • Dynamic Background Highlighting • Day Trader Zone (default = last 24 hours, light green). • Swing Trader Zone (default = last 2 weeks, light yellow). • Older Zone (beyond 2 weeks, light gray). • Customizable Colors • Choose your own background colors for each zone. • Adjust opacity to make shading subtle or bold. • Adjustable Timeframes • Change day trading hours (default: 24 hours). • Change swing trading window (default: 14 days). • Simple, Intuitive Design • Instantly see whether the current market structure is suitable for scalps/day trades, swing trades, or simply part of older price action. ⸻ 🎯 Why Use This? As a futures/perpetual trader, knowing the context of price action is crucial: • Scalpers/Day Traders focus on the most recent 24h. • Swing Traders look back 1–2 weeks. • Anything older often has less weight for short-term setups. This script highlights those zones automatically, saving you time and giving clarity on whether you’re trading inside a fresh opportunity window or old, less relevant price action.
Pine Script® 인디케이터
marktan93의
Daily SMA200 Distance – Percentile Zones PROIndicator Description — Weekly/Daily SMA200 Distance – Percentile Zones The SMA200 Distance – Percentile Zones indicator measures the percentage distance between the price and its 200-period Simple Moving Average (SMA200), and classifies it into historical percentile zones. This tool helps traders and investors understand the market context of an asset relative to its long-term trend: Cheap Zone (< P25): price at historically low levels compared to SMA200. Value Zone (P25–P50): neutral range, where price trades around its long-term average. Acceptable Zone (P50–P65): moderately high levels, still reasonable within an uptrend. Not Recommended Zone (P65–P76): overextended territory, with increasing correction risk. Very Expensive Zone (≥ P76): extreme levels, historically linked to overvaluation and potential market tops. Percentiles are calculated dynamically from the entire historical dataset (since the SMA200 becomes available), providing a robust and objective statistical framework for decision-making. ✅ In summary: This indicator works as a quantitative valuation map — showing whether the asset is cheap, fairly valued, acceptable, risky, or very expensive relative to its historical behavior against the SMA200.
Pine Script® 인디케이터
ed_andresdl의
High Probability Order Blocks [AlgoAlpha]🟠 OVERVIEW This script detects and visualizes high-probability order blocks by combining a volatility-based z-score trigger with a statistical survival model inspired by Kaplan-Meier estimation. It builds and manages bullish and bearish order blocks dynamically on the chart, displays live survival probabilities per block, and plots optional rejection signals. What makes this tool unique is its use of historical mitigation behavior to estimate and plot how likely each zone is to persist, offering traders a probabilistic perspective on order block strength—something rarely seen in retail indicators. 🟠 CONCEPTS Order blocks are regions of strong institutional interest, often marked by large imbalances between buying and selling. This script identifies those areas using z-score thresholds on directional distance (up or down candles), detecting statistically significant moves that signal potential smart money footprints. A bullish block is drawn when a strong up-move (zUp > 4) follows a down candle, and vice versa for bearish blocks. Over time, each block is evaluated: if price “mitigates” it (i.e., closes cleanly past the opposite side and confirmed with a 1 bar delay), it’s considered resolved and logged. These resolved blocks then inform a Kaplan-Meier-like survival curve, estimating the likelihood that future blocks of a given age will remain unbroken. The indicator then draws a probability curve for each side (bull/bear), updating it in real time. 🟠 FEATURES Live label inside each block showing survival probability or “N.E.D.” if insufficient data. Kaplan-Meier survival curves drawn directly on the chart to show estimated strength decay. Rejection markers (▲ ▼) if price bounces cleanly off an active order block. Alerts for zone creation and rejection signals, supporting rule-based trading workflows. 🟠 USAGE Read the label inside each block for Age | Survival% (or N.E.D. if there aren’t enough samples yet); higher survival % suggests blocks of that age have historically lasted longer. Use the right-side survival curves to gauge how probability decays with age for bull vs bear blocks, and align entries with the side showing stronger survival at current age. Treat ▲ (bullish rejection) and ▼ (bearish rejection) as optional confluence when price tests a boundary and fails to break. Turn on alerts for “Bullish Zone Created,” “Bearish Zone Created,” and rejection signals so you don’t need to watch constantly. If your chart gets crowded, enable Prevent Overlap ; tune Max Box Age to your timeframe; and adjust KM Training Window / Minimum Samples to trade off responsiveness vs stability.
Pine Script® 인디케이터
AlgoAlpha의
15
Stop Loss vs Take Profit Probability and EVThis stop loss and take profit calculator uses a Monte Carlo simulation to calculate the probability of hitting your Stop Loss or Take Profit levels across different time horizons (expressed in bars). It provides data-driven insights to optimize your risk management and position sizing by showing Expected Value for each scenario. As a quant, I love using statistical data to help my decisions and get better EV from my trades. 🔬 How It's Calculated Monte Carlo Simulation: Runs 1,000-10,000 price simulations using a random walk model Volatility Analysis: Combines ATR-based and Historical Volatility for accurate price movement modeling Expected Value: Calculates profit/loss expectation using formula: (TP_Probability × Reward) - (SL_Probability × Risk) Time Horizons: Tests multiple timeframes (1, 5, 10, 20, 50 bars) to find optimal holding periods Risk/Reward Ratios: Automatically calculates and displays R:R ratios for quick assessment 💡 Use Cases Position Sizing - Determine optimal risk per trade based on Expected Value Time Horizon Optimization - Find the best holding period for your strategy Stop Loss Placement - Validate SL levels using probability analysis Take Profit Optimization - Set TP levels with statistical backing Strategy Backtesting - Compare different R:R setups before entering trades Risk Management - Avoid trades with negative Expected Value Swing vs Day Trading - Choose timeframes with highest success probability 🎯 How to Use Setup Trade: Enter your entry price, stop loss, and take profit levels You can add or remove time horizons denominated in bars. Say you are looking at 1h candles, adding a 24-bar time horizon means you are looking into 24 hours Choose Direction: Select Long or Short position Review Table Analyze Expected Value: Focus on positive EV scenarios (green background) Optimize Timing: Select time horizons with best risk/reward profile Adjust Parameters: Modify volatility calculation method and simulation count if needed Examples Here's how you can read the tables. Example 1: In this chart, we are analyzing the TP and SL probabilities as well as the EV (expected value) for a stock. I want to check what the likelihood is that my SL and TP get triggered over the next 5 days. The stock market is open for 6.5 hours per day, which is 13 bars in this 30-minute bar chart. 26 bars is 2 days, 39 bars is 3 days and so on. Although this trade is more likely to trigger my SL than my TP, in some of the time horizons we have a positive expected value because of the risk/reward of our trade (i.e. distance of the SL and TP from the price) and the probability of hitting SL and TP. Example 2: In this example, we have applied the indicator to gold. Because the TP is much closer to the price, the probability of hitting the TP is much higher. We can also observe that the expected Value in the shorter time frames is better than in the longer ones. This can give us some clues to set up our trade. If we know that the EV is positive, we can allocate more to that specific trade. Enjoy, and please let me know your feedback! 😊🥂
Pine Script® 인디케이터
HenriqueCentieiro의
ETFs Sector PerformanceDisplays a table of the Top 8 performing ETFs over a selected period (1M / 2M / 3M / 6M) to quickly identify industry strength. Pre-Set Universe (39 ETFs) ITA — iShares U.S. Aerospace & Defense ETF DBA — Invesco DB Agriculture Fund BOTZ — Global X Robotics & Artificial Intelligence ETF JETS — U.S. Global Jets ETF XLB — Materials Select Sector SPDR Fund XBI — SPDR S&P Biotech ETF PKB — Invesco Dynamic Building & Construction ETF ICLN — iShares Global Clean Energy ETF SKYY — First Trust Cloud Computing ETF DBC — Invesco DB Commodity Index Tracking Fund XLY — Consumer Discretionary Select Sector SPDR Fund XLP — Consumer Staples Select Sector SPDR Fund BLOK — Amplify Transformational Data Sharing ETF KARS — KraneShares Electric Vehicles & Future Mobility ETF XLE — Energy Select Sector SPDR Fund ESPO — VanEck Video Gaming and eSports ETF XLF — Financial Select Sector SPDR Fund PBJ — Invesco Dynamic Food & Beverage ETF ITB — iShares U.S. Home Construction ETF XLI — Industrial Select Sector SPDR Fund PAVE — Global X U.S. Infrastructure Development ETF PEJ — Invesco Dynamic Leisure & Entertainment ETF LIT — Global X Lithium & Battery Tech ETF IHI — iShares U.S. Medical Devices ETF XME — SPDR S&P Metals & Mining ETF FCG — First Trust Natural Gas ETF URA — Global X Uranium ETF PPH — VanEck Pharmaceutical ETF QTUM — Defiance Quantum Computing & Machine Learning ETF IYR — iShares U.S. Real Estate ETF XRT — SPDR S&P Retail ETF SOXX — iShares Semiconductor ETF BOAT — SonicShares Global Shipping ETF IGV — iShares Expanded Tech-Software Sector ETF TAN — Invesco Solar ETF SLX — VanEck Steel ETF IYZ — iShares U.S. Telecommunications ETF IYT — iShares U.S. Transportation ETF XLU — Utilities Select Sector SPDR Fund
Pine Script® 인디케이터
Al_Rasbi의
Theil-Sen Line Filter [BackQuant]Theil-Sen Line Filter A robust, median-slope baseline that tracks price while resisting outliers. Designed for the chart pane as a clean, adaptive reference line with optional candle coloring and slope-flip alerts. What this is A trend filter that estimates the underlying slope of price using a Theil-Sen style median of past slopes, then advances a baseline by a controlled fraction of that slope each bar. The result is a smooth line that reacts to real directional change while staying calm through noise, gaps, and single-bar shocks. Why Theil-Sen Classical moving averages are sensitive to outliers and shape changes. Ordinary least squares is sensitive to large residuals. The Theil-Sen idea replaces a single fragile estimate with the median of many simple slopes, which is statistically robust and less influenced by a few extreme bars. That makes the baseline steadier in choppy conditions and cleaner around regime turns. What it plots Filtered baseline that advances by a fraction of the robust slope each bar. Optional candle coloring by baseline slope sign for quick trend read. Alerts when the baseline slope turns up or down. How it behaves (high level) Looks back over a fixed window and forms many “current vs past” bar-to-bar slopes. Takes the median of those slopes to get a robust estimate for the bar. Optionally caps the magnitude of that per-bar slope so a single volatile bar cannot yank the line. Moves the baseline forward by a user-controlled fraction of the estimated slope. Lower fractions are smoother. Higher fractions are more responsive. Inputs and what they do Price Source — the series the filter tracks. Typical is close; HL2 or HLC3 can be smoother. Window Length — how many bars to consider for slopes. Larger windows are steadier and slower. Smaller windows are quicker and noisier. Response — fraction of the estimated slope applied each bar. 1.00 follows the robust slope closely; values below 1.00 dampen moves. Slope Cap Mode — optional guardrail on each bar’s slope: None — no cap. ATR — cap scales with recent true range. Percent — cap scales with price level. Points — fixed absolute cap in price points. ATR Length / Mult, Cap Percent, Cap Points — tune the chosen cap mode’s size. UI Settings — show or hide the line, paint candles by slope, choose long and short colors. How to read it Up-slope baseline and green candles indicate a rising robust trend. Pullbacks that do not flip the slope often resolve in trend direction. Down-slope baseline and red candles indicate a falling robust trend. Bounces against the slope are lower-probability until proven otherwise. Flat or frequent flips suggest a range. Increase window length or decrease response if you want fewer whipsaws in sideways markets. Use cases Bias filter — only take longs when slope is up, shorts when slope is down. It is a simple way to gate faster setups. Stop or trail reference — use the line as a trailing guide. If price closes beyond the line and the slope flips, consider reducing exposure. Regime detector — widen the window on higher timeframes to define major up vs down regimes for asset rotation or risk toggles. Noise control — enable a cap mode in very volatile symbols to retain the line’s continuity through event bars. Tuning guidance Quick swing trading — shorter window, higher response, optionally add a percent cap to keep it stable on large moves. Position trading — longer window, moderate response. ATR cap tends to scale well across cycles. Low-liquidity or gappy charts — prefer longer window and a points or ATR cap. That reduces jumpiness around discontinuities. Alerts included Theil-Sen Up Slope — baseline’s one-bar change crosses above zero. Theil-Sen Down Slope — baseline’s one-bar change crosses below zero. Strengths Robust to outliers through median-based slope estimation. Continuously advances with price rather than re-anchoring, which reduces lag at turns. User-selectable slope caps to tame shock bars without over-smoothing everything. Minimal visuals with optional candle painting for fast regime recognition. Notes This is a filter, not a trading system. It does not account for execution, spreads, or gaps. Pair it with entry logic, risk management, and higher-timeframe context if you plan to use it for decisions.
Pine Script® 인디케이터
BackQuant의