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Trend Analizi

Liquidity Sweep Trendlines customise htf, bars and switchesThis is not an ordinary trendline, in fact high impact ones, passing through liquidity points of huge significance. In setting of indicator you can choose to have multiple consecutive buys or sells for delayed entry. For automation you can deselect this option so that you get single buy or sell. What is more, for Green and Red lines you can choose different bars. For instance if htf trend is bearish choose 14 bars for red, so you need to sell on rise therefore make 1 bar for green. Similar for opposite. You can separately choose htf on current chart. For instance if on your htf is 5 min and trend is bearish on 5 min, on current chart 1 min(say) you can choose htf 5min for red and to short on every rise choose 1 bar for green and keep its htf of chart. I think need for all other indicator should be over, You will have an awe feeling for sure. Enjoy
Pine Script® göstergesi
vjha55 tarafından
Liquidity Retest Strategy (Apicode) - TP/SL Lines FixedTechnical Documentation: 1. Purpose and underlying concept This strategy targets a common behavior in liquid markets: liquidity sweeps around meaningful support/resistance levels, followed by a retest and rejection (reversal) with confirmation. The core thesis is that many initial “breaks” are not continuation moves, but rather stop-runs and order harvesting. After the sweep, price reclaims the level and closes back on the opposite side, offering a structured entry with defined risk. The strategy includes: Support/Resistance detection via pivots Dynamic selection of the “working” level using an ATR-based proximity window Rejection validation via candle structure (wick + close) Optional filters: volume, VWAP-like bias, and EMA trend Risk management with static TP/SL (ATR-based or %), plus trailing stop (ATR-based or %), with per-trade lines plotted 2. Main components 2.1. Volatility metric: ATR atr = ta.atr(atrLength) is used in two essential places: Level selection (proximity to S/R): prevents trading levels that are too far from current price. Sweep validation (minimum wick size): requires the wick to extend beyond the level by a volatility-relative amount. Optionally, ATR can also be used for: Static TP/SL (when usePercent = false) Trailing stop (when useTrailPercent = false) 2.2. Building S/R levels with pivots Pivots are detected using: pivotHigh = ta.pivothigh(pivotLookback, rightBars) pivotLow = ta.pivotlow(pivotLookback, rightBars) Each confirmed pivot is stored in arrays: resistanceLevels for resistance supportLevels for support The array size is capped by maxLevels, which reduces noise and manages chart resource usage (lines). 2.3. Selecting the “best” level each bar On each bar, a single support S and/or resistance R candidate is chosen: Support: nearest level below price (L < price) Resistance: nearest level above price (L > price) Only levels within atr * maxDistATR are considered This produces dynamic “working levels” that adapt to price location and volatility. 2.4. Rejection pattern (retest + sweep) After selecting the working level: Support rejection (long setup) Conditions: Low touches/crosses support: low <= S Close reclaims above: close > S Bullish candle: close > open Sufficient wick below the level (liquidity sweep): (S - low) >= atr * minWickATR This aims to capture a stop sweep below support followed by immediate recovery. Resistance rejection (short setup) Symmetric conditions: High touches/crosses resistance: high >= R Close rejects back below: close < R Bearish candle: close < open Sufficient wick above the level: (high - R) >= atr * minWickATR 2.5. Optional filters Final signals are the rejection pattern AND enabled filters: 1.- Volume filter High volume is defined as: volume > SMA(volume, 20) * volMult When useVolFilter = true, setups require relatively elevated participation 2.- VWAP-like bias filter A VWAP-like series is computed over vwapLength (typical price weighted by volume) When useVWAPFilter = true: - Longs only if close > vwap - Shorts only if close < vwap 3.- EMA trend filter Uptrend if EMA(fast) > EMA(slow) When useTrendFilter = true: - Longs only in uptrend - Shorts only in downtrend 2.6. Backtest time window (time filter) To keep testing focused and reduce long-history noise: useMaxLookbackDays enables the filter maxLookbackDays defines how many days back from timenow entries are allowed Entries are permitted only when time >= startTime. 3. Entry rules and position control 3.1. Entries strategy.entry('Long', strategy.long) when longSetup and no long position is open strategy.entry('Short', strategy.short) when shortSetup and no short position is open No pyramiding is allowed (pyramiding = 0). Position gating is handled by: Long allowed if strategy.position_size <= 0 Short allowed if strategy.position_size >= 0 4. Risk management: TP/SL and trailing (with plotted lines) 4.1. Detecting entry/exit events Events are identified via changes in strategy.position_size: LongEntry: transition into a long shortEntry: transition into a short flatExit: transition back to flat This drives per-trade line creation, updates, and cleanup of state variables. 4.2. Static TP/SL On entry, entryPrice := strategy.position_avg_price is stored. Percent mode (usePercent = true) Long: staticSL = entryPrice*(1 - slPerc/100) staticTP = entryPrice*(1 + tpPerc/100) Short: staticSL = entryPrice*(1 + slPerc/100) staticTP = entryPrice*(1 - tpPerc/100) ATR mode (usePercent = false) Long: staticSL = entryPrice - atrAtEntry*slATR staticTP = entryPrice + atrAtEntry*tpATR Short: staticSL = entryPrice + atrAtEntry*slATR staticTP = entryPrice - atrAtEntry*tpATR 4.3. Trailing stop (custom) While a position is open, the script tracks the most favorable excursion: Long: hhSinceEntry = highest high since entry Short: llSinceEntry = lowest low since entry A trailing candidate is computed: Percent trailing (useTrailPercent = true) Long: trailCandidate = hhSinceEntry*(1 - trailPerc/100) Short: trailCandidate = llSinceEntry*(1 + trailPerc/100) ATR trailing (useTrailPercent = false) Long: trailCandidate = hhSinceEntry - atr*trailATR Short: trailCandidate = llSinceEntry + atr*trailATR Then the effective stop is selected: Long: slUsed = max(staticSL, trailCandidate) when useTrail is enabled Short: slUsed = min(staticSL, trailCandidate) when useTrail is enabled If useTrail is disabled, slUsed remains the static stop. Take profit remains static: tpUsed = staticTP Exit orders are issued via: strategy.exit(..., stop=slUsed, limit=tpUsed) 4.4. Per-trade TP/SL lines On each entry, two lines are created (SL and TP) via f_createLines(). During the trade, the SL line updates when trailing moves the stop; TP remains fixed. On exit (flatExit), both lines are finalized on the exit bar and left on the chart as historical references. This makes it straightforward to visually audit each trade: entry context, intended TP, and trailing evolution until exit. 5. Visualization and debugging BUY/SELL labels with configurable size (xsize) Debug mode (showDebug) plots the chosen working support/resistance level each bar Stored pivot levels are drawn using reusable line slots, projected a fixed 20 bars to the right to keep the chart readable and efficient 6. Parameter guidance and practical notes pivotLookback / rightBars: controls pivot significance vs responsiveness. Lower rightBars confirms pivots earlier but can increase noise. maxDistATR: too low may reject valid levels; too high may select distant, less relevant levels. minWickATR: key quality gate for “real” sweeps. Higher values reduce frequency but often improve signal quality. Filters: Volume filter tends to help in ranges and active sessions. VWAP bias is useful intraday to align trades with session positioning. EMA trend filter is helpful in directional markets but may remove good mean-reversion setups. Percent TP/SL: provides consistent behavior across assets with variable volatility, but is less adaptive to sudden regime shifts. Percent trailing: can capture extensions well; calibrate trailPerc per asset/timeframe (too tight = premature exits). 7. Known limitations Pivot-derived levels are a heuristic; in strong trends, valid retests may be limited. The time filter uses timenow; behavior may vary depending on historical context and how the platform evaluates “current time.” TP/SL and trailing are computed from bar OHLC; in live trading, intrabar sequencing and fills may differ from bar-close simulation.
Pine Script® stratejisi
Apicode tarafından
ADX + DI **ADX + DI (Final)** is a clean trend-strength and direction tool built on the classic Wilder **Average Directional Index (ADX)** with optional **+DI / -DI** lines. * Plots **ADX (red)** to show *trend strength* (not direction). * Optionally plots **+DI (green)** and **-DI (blue)** to show *directional bias* (bullish when +DI > -DI, bearish when -DI > +DI). * Includes toggleable horizontal reference levels at **20** and **25** to quickly spot range vs trend regimes. * Optional background highlighting when **ADX exceeds a user-defined threshold** (default 25) to visually mark “strong trend” conditions. * Includes alert conditions for: * **+DI crossing above -DI** (bullish directional shift) * **-DI crossing above +DI** (bearish directional shift) * Both crosses **with ADX above the trend threshold** (higher-confidence signals) **Best use:** filter trades by regime—avoid trend strategies when ADX is low (chop), and focus on pullbacks/breakouts when ADX is rising and above your threshold.
Pine Script® göstergesi
ZeroPointEnergyUSA tarafından
SCOTTGO - Liquidity Zones (Sweeps + Tethers) SCOTTGO - Liquidity Zones is a high-performance technical analysis tool designed to identify and track Institutional Liquidity Zones, Price Sweeps, and Pivot Levels with a clean, professional-grade interface. Key Features Dynamic Liquidity Zones: Automatically identifies Bullish and Bearish zones based on customizable pivot lookbacks. Identify Liquidity Sweeps: Detects when price "pokes" through a zone but fails to close beyond it, marking the event with a distinct label and a visual tether line. Active Tracking: Zones and LIQ lines track price in real-time until they are mitigated (broken by a candle close), at which point they visually "deactivate" to reduce clutter. Professional UI: Features a compact, single-row styling menu (Color, Thickness, and Line Style) that mirrors TradingView’s native design. Visual Elements LIQ Lines: Solid or dashed lines tracking the exact pivot price within active zones. Sweep Tethers: Vertical lines connecting the candle extreme to the "SWEEP" label for precise visual confirmation. Detailed Tooltips: Hover over LIQ labels or Sweep tags to view specific price data and zone context. Zone Titles: Clearly labeled "BULL ZONE" and "BEAR ZONE" tags with independent font size controls. How to Use Core Logic: Adjust the Pivot Lookback to define the strength of the levels you want to track. Styling: Use the Inputs Tab for compact, specialized styling of Lines, Borders, and Sweeps. Analysis: Look for "Sweeps" at zone boundaries as potential signs of reversal or stop-running.
Pine Script® göstergesi
SCOTTGO tarafından
1
Yearly Projection ExplorerThis indicator helps you understand how the current market period has behaved historically by overlaying the same date window from previous years and projecting it forward from today’s price. The script works the following way: Aligns past years to today’s calendar date Normalizes all paths to the last close at the start Projects historical performance X bars forward Displays each year as a separate performance path Calculates and plots the mean (average) projection for quick reference 🔧 How It Works Number of Years: choose how many past years to include (e.g. last 10, 20, or 25 years) Projection Length: choose how many bars (days) ahead to project Each line shows how the market moved during the same period in a specific year Labels show the year and total return at the projection end The mean line highlights the average historical outcome 🧠 Why This Is Useful Identify seasonal tendencies Compare current price action to historical analogs Visualize best / worst historical outcomes Set realistic expectations for short-term moves Add context to discretionary or systematic decisions This tool does not predict the future, but it provides a powerful historical framework to assess what has been typical, rare, or extreme for the current market window. ⚠️ Notes Script works on timenow variable for now, and you might see unexpected periods if today is a day off. Results depend on the selected timeframe and instrument Past performance is not a guarantee of future results Designed for analysis and context, not standalone signals
Pine Script® göstergesi
QuantNomad tarafından
4H Previous Candle + FibonacciIndicator Description: 4H Previous Candle + Fibonacci This Pine Script (v5) indicator is a technical analysis tool designed for traders using the TradingView platform. It allows for the visualization of key levels from the previous 4- hour candle directly on any lower time frame. 1. Primary Objective The indicator aims to provide a Higher Time Frame (HTF) perspective automatically. By plotting the high, low, and Fibonacci retracement levels of the last closed 4H candle, it helps identify institutional support and resistance zones without the need to constantly switch time frames. 2. Key Features Feature Description Automatic 4H Levels Automatically plots horizontal lines for the High and Low of the previous 4H candle. Dynamic Adaptation Line colors and styles adapt based on whether the candle was bullish (green) or bearish (red). Fibonacci Retracements Calculates and displays customizable Fibonacci levels (e.g., 23.6%, 38.2%, 50%, 61.8%, 78.6%). Dashboard (HUD) A summary table in the top-right corner displays exact values and the candle type. 3. Technical Functionality Data Retrieval (Multi-Timeframe) The script uses the request.security function to extract data from the 4-hour time frame (“240”). Using the index ensures the indicator is based on a closed candle, eliminating any risk of “repainting” (levels changing during formation). Fibonacci Calculation Logic The calculation of Fibonacci levels is intelligent and directional: Bullish Candle: The retracement is calculated from bottom to top (0% is at the bottom). Bearish Candle: The retracement is calculated from top to bottom (0% is at the top). 4. Configuration Parameters Users can customize the indicator via the settings menu: Visual Settings: Toggle lines, adjust thickness, price labels, and decimal precision. Fibonacci Settings: Enable levels, choose colors, line thickness, and enter custom retracement percentages. 5. Trading Use Cases Bounce Zones: The 50% and 61.8% levels of the previous 4H candle are often considered “Premium” or “Discount” zones where price tends to react. Confluence: Use these levels alongside other indicators (RSI, moving averages) to confirm entry points. Risk Management: Place Stop Losses just beyond the previous 4H High or Low. Document generated for the analysis of the “4H Previous Candle + Fibonacci” Pine Script.
Pine Script® göstergesi
melo95 tarafından
CUSUM Volatility BreakoutCUSUM Volatility Breakout A statistical trend-detection and volatility-breakout indicator that identifies subtle momentum shifts earlier than traditional tools. OVERVIEW The CUSUM control chart is a statistical tool designed to detect small, gradual shifts from a target value. In trading, it helps identify the early stages of a trend, giving traders a heads-up before momentum becomes obvious on standard price charts. By spotting these subtle movements, the CUSUM Volatility Breakout indicator (CUSUM VB) can highlight potential breakout opportunities earlier than traditional indicators. In other words, a statistical trend detection & breakout indicator. Copyright © 2025 CoinOperator HOW IT WORKS CUSUM VB uses a combination of differenced price series, volume normalization, and dynamic control limits: CUSUM Principle: Tracks cumulative deviations of price from a zero reference. Signals occur when cumulative deviations exceed a control limit shown on the chart and clears any enabled filters. Adaptive Volatility: H adjusts automatically based on short- vs long-term ATR ratios, allowing faster detection during volatile periods and reduced false signals in calm markets. Volume Weighting (optional): Amplifies price CUSUM values during high-volume bars to prioritize market participation strength. ATR Confirmation (optional): Ensures breakouts are accompanied by expanded volatility. Bollinger Band Squeeze Integration (optional): Confirms trend breakouts by detecting volatility contraction and release shown on the chart as triangles. Signals: Arrows on the price chart mark the bars where trades are actually filled, based on conditions detected on the prior signal bar. Long Entry: Confirmed positive CUSUM breach (price & volume) with BB breakout (signal bar). Short Entry: Confirmed negative CUSUM breach (price & volume) with BB breakout (signal bar). Exit Signals: Triggered automatically by opposite-side signals. Alerts, when created, fire on the bars where fills occur. CHART COMPONENTS CUSUM Upper Price (CU Price) and CUSUM Lower Price (CL Price) are green/red circles for confirmed signals. ● Rapid upward accumulation of CU Price indicates a developing bullish trend. ● Rapid downward accumulation of CL Price indicates a developing bearish trend. Decision/Control limits (UCL/LCL, red) Zero line (reference for the differenced price series baseline) Optional BB triangles and volume CUSUM SETUP AND CONFIGURATION Differenced Price Series Differenced Price Length and Lag Increase differencing lag or window length → Increases variance of residuals → Wider control limits (UCL/LCL) → Slower to trigger. Decrease lag or window → Tighter limits, more responsive to short-term regime shifts. CUSUM Parameters Volume-Weighted CUSUM NOTE : Uses price length if 'Confirm Price with Volume' is disabled, otherwise will use volume length. Amplifies CUSUM price responses during high-volume bars and reduces them during low-volume bars. This links trend detection to market participation strength. Volume-Weighted CUSUM doesn’t replace price confirmation with volume; it modulates it by volume intensity, amplifying price signals when participation is strong and suppressing them when weak. Recommended when analyzing assets with consistent volume patterns (e.g., stocks, major futures). Disable for low-liquidity or irregular-volume instruments (e.g., crypto pairs, small-cap stocks). ATR Confirmation Enable this feature to confirm CUSUM signals only when price deviations are accompanied by higher-than-normal volatility. The indicator compares current ATR to a smoothed ATR to detect volatility expansion. This helps distinguish true breakouts from low-volatility noise and reduces false signals during quiet periods. Adjust the ATR lookback length, smoothing length, and expansion factor to control sensitivity. Rule of thumb: ATR Length ≈ 0.5 × differenced price length to 1.5 × differenced price length gives balanced sensitivity. ATR Smoothing 5–10 bars. ATR Expansion 5% to 50%. CUSUM Input Mode Select how CUSUM processes differenced price and log-normalized volume — either directly (Txfrm Data) or as deviations from a short-term EMA baseline (Residuals): Txfrm Data = transformed input: differenced price & log-normalized volume as input for CUSUM (larger swings, more frequent control limit breaches) Residuals = deviation from short-term EMA baseline (smaller swings, fewer control limit breaches, but higher signal quality). Residual EMA Length: Defines how quickly the residual baseline adapts to recent differenced price moves. Shorter = more reactive; longer = smoother baseline. Keep EMA length moderate; over-smoothing can distort timing. Control Sensitivity (K) Increase K → Less sensitive → CUSUM accumulates slower → Fewer signals, captures only major trends. Decrease K → More sensitive → CUSUM accumulates faster → More signals, captures minor swings too. Reset Mode : Method of resetting CUSUM values. Immediate Reset: Reset both immediately after any signal breach. Traditional SPC. Opposite-Side Reset: Reset only the opposite side when a valid signal fires. Best for ongoing trend tracking. Decay Reset: Gradually reduce CUSUM values toward zero with a decay factor each bar. Maintains trend memory but allows slow “forgetting.” Threshold Reset: Reset only if CUSUM returns below a small threshold (10 % of H). Filters noise without full wipe. No Reset / Continuous: Never reset; instead track running totals. Long-term cumulative bias measurement. Conflict Handling : Method of handling conflicting signals. Ignore Both: Discards both when overlap occurs. Prioritize Latest: Chooses the direction implied by the most recent close. Prioritize Stronger: Compares absolute magnitudes of CU Price vs CL Price. Average Resolve: Looks at the difference; small overlap → ignore, otherwise pick direction by sign. Sequential Confirm: Requires N consecutive same-direction signals before confirmation. Volume Parameters (Optional) Amplification Factor Adjusts volume sensitivity and effectively rescales the log series of volume to a comparable magnitude with price changes. Since price and volume are normalized in a compatible way, the amplification factor is used instead of independent K and H values for volume. Bollinger Bands (Optional) Lookback Synchronization BB Lookback (for CUSUM): Number of bars that define a window for the BB signal to look back for the CUSUM signal. CUSUM Lookback (for BB): Number of bars that define a window for the CUSUM signal to look back for the BB signal. Both can be enabled for stricter alignment. Relationship Between K, H, ARL₀ and ARL₁ H (max) is usually the only H you need to adjust. With everything else being constant, increasing either K or H (max) generally increases both ARL₀ and ARL₁ : higher thresholds reduce false alarms but slow detection, and lower thresholds do the opposite. Increase Min Target ARL ratio → ARL₀ increases (safer, fewer false alarms) ARL₁ decreases or stays small (faster detection) Control limits slightly expand to achieve separation Strategy becomes more selective and stable Decrease Min Target ARL ratio → ARL₀ decreases (more false alarms tolerated) ARL₁ increases (slower detection tolerated) Control limits tighten Strategy becomes more sensitive but lower quality The ARL Ratio of ARL₀ / ARL₁ is typically between 3 and 8. This implies you want your ARL₀ (false-alarm interval) ≈ 'Min Target ARL ratio' × differenced price length window. Example: "Min Target ARL ratio = 4.0" ⇒ implies you want your ARL₀ (false-alarm interval) ≈ 4 × differenced price length. Assume price length = 50 (typical differencing window). ARL ratio = 4.0 → target ARL = 4 × 50 = 200 bars. ● On a 6-hour chart (≈4 bars/day) → ~50 days between expected false alarms (on average). ● On a daily chart → ~200 trading days between false alarms (very conservative). ARL ratio = 8.0 → target ARL = 400 bars → twice as infrequent signals vs ratio=4. ARL ratio = 2.0 → target ARL = 100 bars → about half the inter-signal interval. Another way to think about it: probability of a false alarm on any bar ≈ 1 / target ARL. If you want ~1% of bars producing alarms, target ARL ≈ 100. QUICK START Start with the defaults. Set price series → length/order/lag Configure CUSUM thresholds → K, H min/max 1. Adjust the price differencing lag/window. 2. Verify that it captures real price inflection points without overreacting to bar noise. Enable optional filters → Volume, ATR, BB The optional Bollinger Bands squeeze usually works best if used with CUSUM Input Mode = Txfrm Data. Monitor CUSUM chart → CU Price, CL Price, thresholds, zero line Act on signals → data window / chart triangles Adjust sensitivity → H (max), K, lengths Monitor ARL ratio and CUSUM behavior for fine-tuning Note : When you’ve finalized the length, lag, and order of the Price Difference, as well as the Ln(Vol) Series of “Confirm Price with Volume” if enabled, then pass both through the Augmented Dickey–Fuller (ADF) mean reversion test to ensure they are stationary, i.e., mean reverting. You can find a ready-made indicator for such use at . Many thanks to tbtkg for this indicator. SUMMARY CUSUM VB combines CUSUM statistical control, volatility-adaptive thresholds, volume weighting, and optional BB breakout confirmation to provide robust, actionable signals across a wide variety of trading instruments. Why traders use it : Fast detection of shifts, reduced false alarms, versatile across markets. Ideal for : Futures (continuous contracts), forex, crypto, stocks, ETFs, and commodity/index CFDs, especially where: ● Price and volume data exist ● Breakouts and volatility shifts are tradable ● There’s enough liquidity for meaningful signals Visualization : Upper/lower CUSUM circles, UCL/LCL thresholds, optional highlight traded background, optional volume and BB overlays on the chart, optional entry/exit labels on the price chart, as well as entry/exit signals in the data window. Alerts : For entry/exit labels when trades are actually filled. CUSUM VB is designed for traders who want statistically grounded trend detection with configurable sensitivity, visual clarity, and multi-market versatility. DISCLAIMER This software and documentation are provided “as is” without any warranties of any kind, express or implied. CoinOperator assumes no responsibility or liability for any errors, omissions, or losses arising from the use or interpretation of this software or its outputs. Trading and investing carry inherent risks, and users are solely responsible for their own decisions and results.
Pine Script® göstergesi
CoinOperator tarafından
2
LockPoint TrackerLockPoint Tracker is a simple yet powerful tool for visually tracking price movement from a locked reference point. Key Features: • Lock any bar’s closing price with a single click. • Reference line drawn at the locked price for clear visual context. • “L” label marks the locked bar. • Live percentage change label shows how far the current price has moved from the locked level. • Green above the bar for gains, red below for losses. • Automatically disappears on the next bar — always shows only the live value. • Configurable label padding for optimal visibility on any chart or timeframe. LockPoint Tracker is perfect for traders who want to monitor key levels, measure intrabar moves, or visually track performance from specific price points without cluttering the chart.
Pine Script® göstergesi
MartyA2424 tarafından
Yivgeny Decision ScoreYivgeny Decision Score is a technical indicator that provides two objective scores (0–10) to support trading decisions: ENTRY Score – evaluates the quality of a potential entry HOLD Score – evaluates whether to hold or exit an existing position The score is based on trend direction (SMA150), EMA20 behavior, volume confirmation, MACD momentum, breakout or bounce signals, and price action structure. Designed for discretionary traders who want a clear, rule-based decision aid without automatic buy/sell signals.
Pine Script® göstergesi
Yivgeny tarafından
Candle Boxes (Border + Midline + Open level)📦 Candle Boxes (Border + Midline + Open Level) Candle Boxes is a visual multi-timeframe (HTF) tool designed to display higher-timeframe candle structure directly on a lower-timeframe chart. It helps traders understand HTF context without constantly switching between timeframes. 🔍 What this indicator displays For each HTF candle, the indicator draws: HTF Box Top = HTF High Bottom = HTF Low Horizontal span = full HTF candle duration Border color Bullish HTF candle → bullish color Bearish HTF candle → bearish color Midline (50%) – optional Exact midpoint of the HTF range: (High + Low) / 2 HTF Open level – optional Horizontal line at the HTF candle open price All elements are drawn without background fill to keep the chart clean and readable. ⏱ Multi-Timeframe logic HTF is selected using the HTF (box timeframe) input Data is retrieved via request.security() with no repainting Levels update only while the HTF candle is forming Once the HTF candle closes, its box and lines remain fixed 🧠 Intended use This indicator is designed for: visualizing higher-timeframe context on lower charts analyzing HTF structure without changing timeframe supporting: support & resistance analysis price action studies intraday and swing trading context This tool does not generate buy/sell signals and is not a trading strategy. ⚙️ Settings HTF & history HTF (box timeframe) – higher timeframe used to build boxes Keep last HTF boxes – number of most recent HTF boxes to keep used to comply with TradingView object limits the script automatically removes the oldest boxes and lines Visual options Border (on/off, width, transparency, colors) Midline (on/off, colors, transparency) HTF Open line (on/off, color, width, transparency) ⚠️ Important notes TradingView enforces strict limits on drawn objects (boxes and lines) This indicator is optimized to: display as much historical data as technically possible automatically manage and delete older objects Higher HTF → fewer boxes visible in history Lower HTF → more boxes, faster object-limit usage 🔁 Suggested Timeframe Combinations This indicator is designed to work best when the selected HTF is significantly higher than the chart timeframe. Below are practical, commonly used combinations: Intraday trading Chart: 5m → HTF: 1H Chart: 15m → HTF: 4H Useful for identifying higher-timeframe structure during active trading sessions. Swing trading Chart: 30m → HTF: 4H Chart: 1H → HTF: Daily Helps visualize major HTF ranges and key levels while managing trades over multiple days. Higher-timeframe analysis Chart: 1H → HTF: Weekly Chart: 4H → HTF: Weekly Best suited for understanding broader market context, range behavior, and HTF price positioning. General guideline A 4× to 8× ratio between chart timeframe and HTF is usually a good starting point Larger ratios provide cleaner structure but fewer visible boxes Smaller ratios provide more detail but consume object limits faster These combinations are guidelines only and can be adjusted based on personal trading style and market conditions. 📌 Disclaimer This indicator is a visual analysis tool only. It does not provide financial advice or guarantee any trading outcome. All trading decisions are made at your own risk. Always combine this tool with your own analysis and risk management rules.
Pine Script® göstergesi
Aleksin_Aleksandar tarafından
7
Open Interest Weighted Average Price [Arjo]Open Interest Weighted Average Price , or OIWAP , is a simple visual indicator that shows the average price of an asset based on changes in open interest . Instead of using trading volume like VWAP, this indicator gives more weight to prices where new futures contracts are being added or removed . This helps highlight the price levels where traders are actively building or closing positions. The indicator shows: A main line that represents the average price weighted by open interest changes. Upper and lower bands (standard deviation bands) that show how far the price moves away from this average. OIWAP is mainly useful for NSE futures markets , where open interest data is available. It helps traders visually understand where most market participation and positioning are taking place relative to price . Concepts: Applies statistical concepts, including weighted averaging and standard deviation, to open interest data Uses the absolute change in open interest as a weighting factor for each price point Creates a dynamic average that reflects where significant open interest activity has occurred during a given period Standard deviation bands are computed from this weighted average to show the statistical spread of prices around the OIWAP line Resets calculations based on user-selected time periods (daily, weekly, monthly, or session-based) Allows for fresh analysis at regular intervals Similar concept to volume-weighted average price (VWAP) indicators, but uses open interest changes as the weighting component Features: Weighted Average: Calculates a central line based on contract activity. Flexible Anchors: Allows users to choose the reset period for the calculation. Volatility Bands: Displays outer and mid-bands to visualize price stretches. Data Check: Built-in alerts notify you if Open Interest data is missing for a symbol. Visual Zones: Color-coded areas help identify price location at a glance. How To Use When you add the indicator to your chart, you will see: A main OIWAP line — the open-interest-weighted price level Mid-bands around the line (±0.5 standard deviations) Outer bands farther away (±2.0 standard deviations) Shaded background zones between these lines You can: Change the reset period to see how the average behaves over different time ranges Adjust the timeframe for open-interest data Turn mid-bands on or off Adjust colors and styles to improve readability Conclusion The OIWAP indicator serves as an educational tool for visualizing the relationship between price movements and open interest activity in futures markets Presents a weighted average price line along with statistical deviation bands Offers a structured framework for chart analysis Customizable settings allow users to adapt the display to their analytical preferences Maintains focus on visual interpretation rather than directional predictions Functions as a supplementary charting overlay that may complement other forms of technical and fundamental analysis Disclaimer This indicator is for educational and visual-analysis purposes only. It does not provide trading signals, financial advice, or guaranteed outcomes . You should perform your own research and consult a licensed financial professional when needed. All trading decisions are solely the responsibility of the user.
Pine Script® göstergesi
ARJO_2019 tarafından
LTF Distribution Analyzer█ OVERVIEW LTF Distribution Analyzer reveals the hidden price distribution and order flow within each candle by sampling lower timeframe data. It visualizes where prices concentrated, how volume was distributed between buyers and sellers, and identifies divergences between price action and actual market participation. Unlike traditional candlesticks showing only OHLC, this indicator exposes the statistical structure of price movement using quartile-based visualization combined with delta analysis. █ CONCEPTS The indicator is built on two core concepts: 1 — Statistical Price Distribution Each candle contains many lower timeframe bars. By analyzing these bars, we calculate: • Q1 (25th percentile) - 25% of prices traded below this level • Q3 (75th percentile) - 75% of prices traded below this level • Median - The middle price value • IQR (Interquartile Range) - The Q3-Q1 spread containing 50% of all prices 2 — Volume Delta Analysis Delta measures buying vs selling pressure: • Delta = Buy Volume − Sell Volume • Positive delta = More aggressive buying • Negative delta = More aggressive selling • Delta Ratio normalizes this as a percentage █ HOW IT WORKS The indicator fetches lower timeframe data using request.security_lower_tf() and processes it to create a statistical summary: Step 1: Timeframe Calculation • Auto mode: Chart timeframe ÷ Auto Divisor = LTF • Example: 1H chart ÷ 1000 = ~3.6 second sampling • Manual mode: User-specified timeframe Step 2: Data Collection • Collects all close prices from LTF bars within current candle • Aggregates volume by candle direction (bullish/bearish) Step 3: Statistical Analysis • Calculates quartiles (Q1, Q3), median, and boundaries • Identifies outliers using 1.5× and 3× IQR fences • Finds Volume POC (price with highest volume) Step 4: Delta Calculation • Sums buy volume (from bullish LTF bars) • Sums sell volume (from bearish LTF bars) • Computes delta ratio for color determination █ VISUAL ELEMENTS ┌─────────────────────────────────────────┐ │ ▲ Extreme outlier (3× IQR) │ │ △ Mild outlier (1.5× IQR) │ │ ─ Upper whisker cap │ │ ┊ Whisker line (dashed) │ │ ▄ IQR Box (Q1 to Q3 range) │ │ ━ Volume POC (highest volume) │ │ ● Median (green=bull, red=bear) │ │ ┊ Whisker line (dashed) │ │ ─ Lower whisker cap │ │ ▽ Mild outlier │ │ ▼ Extreme outlier │ └─────────────────────────────────────────┘ █ COLOR SYSTEM Colors indicate the relationship between candle direction and order flow: 🟢 TEAL (Positive Flow) Bullish candle + Positive delta → Strong buying confirmation → Trend continuation signal 🔴 RED (Negative Flow) Bearish candle + Negative delta → Strong selling confirmation → Trend continuation signal 🟠 ORANGE (Mixed Signal A) Bullish candle + Negative delta → Price up but sellers dominated → Potential weakness/reversal warning 🔵 BLUE (Mixed Signal B) Bearish candle + Positive delta → Price down but buyers dominated → Potential accumulation/reversal signal █ SETTINGS Timeframe Settings • LTF Mode — Auto or Manual selection • Manual Timeframe — Specific LTF when in Manual mode • Auto Divisor — Higher = finer granularity (default: 1000) • Allow Sub-Minute — Requires Premium subscription Visual Style • Positive/Negative Flow colors — Customize the 4 flow colors • Box Transparency — Opacity of the quartile box (0-100%) Statistics Display • Show Statistics Panel — Toggle on-chart stats table • Show Timeframe Badge — Toggle LTF indicator badge • Panel Position — Choose corner placement • Panel Size — Text size selection █ HOW TO USE 1. Divergence Detection Look for color mismatches: • Orange bars in uptrend = weakness, potential reversal • Blue bars in downtrend = strength, potential reversal • Multiple consecutive divergent bars strengthen signal • Wait for confirmation before entry 2. Volume POC Trading • POC marks where most volume traded • POC clusters at similar levels = strong S/R zone • Price often returns to POC before continuing • Use POC for entry/exit targeting 3. Trend Confirmation • Consecutive teal = strong uptrend • Consecutive red = strong downtrend • Median position shows intrabar momentum • Wide boxes indicate high volatility 4. Outlier Analysis • Extreme markers (▲▼) often mark stop hunts • Consider fading extremes at key levels • Mild markers (△▽) = areas to watch █ RECOMMENDED SETTINGS For different chart timeframes: │ Chart TF │ Auto Divisor │ Resulting LTF │ ├──────────┼──────────────┼───────────────┤ │ 15M │ 1500 │ ~1M │ │ 1H │ 1000 │ ~3-4s │ │ 4H │ 600 │ ~24s │ │ Daily │ 500 │ ~2-3M │ Tip: Check the TF badge to confirm active sampling timeframe. █ BEST PRACTICES Do: ✓ Use "Bars" chart style for cleanest display ✓ Combine with support/resistance analysis ✓ Wait for confirmation bars ✓ Note POC clusters across multiple bars ✓ Adjust divisor based on your timeframe Avoid: ✗ Trading single bar signals alone ✗ Using during low volume periods ✗ Trading immediately after news releases ✗ Ignoring overall market context █ LIMITATIONS • Requires adequate market liquidity for reliable signals • Sub-minute timeframes need Premium subscription • Historical data depth depends on TradingView's data availability • Delta calculation assumes volume direction matches candle direction █ NOTES This indicator works best on liquid markets (forex majors, major indices, popular stocks/crypto) where volume data is meaningful. The gray dotted vertical line marks where LTF data becomes available - bars before this line won't display the indicator. For questions or suggestions, leave a comment below.
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A1TradingHub tarafından
Ultimate Auto Trendlines - No Lag, No repaint, & High Accuracy Non-Repainting Auto Trendlines by Pivots – The cleanest way to draw real trendlines automatically! Connects confirmed pivot highs/lows → solid, angled trendlines (no flat junk) Filters by minimum angle → only meaningful trends Shows recent pivots with "R" / "S" labels (optional) Long extension to the right – see future zones instantly Perfect for SPY, QQQ, NASDAQ daily swings – 85%+ touch rate in backtests Why traders love it: • No repaint – safe for live trading & alerts • Keeps chart clean – only recent levels • Angle filter = no useless horizontal lines • Works on any timeframe – daily/4H/1H killer Add to chart now → see the difference immediately! How to Use the "Auto Trendlines by Pivots" Indicator Effectively This indicator automatically draws clean, non-repainting trendlines by connecting confirmed pivot highs and lows, helping you visualize dynamic trend direction, support/resistance from swings, and potential reversal or continuation zones. It's especially powerful on daily and 4H charts for SPY, QQQ, NASDAQ stocks, forex majors, and crypto. Quick Start Guide Add to Chart Open TradingView → Pine Editor → paste the script → Save → Add to Chart. Best symbols/timeframes: SPY/QQQ/ES1! daily, 4H, or 1H. Key Settings (Recommended Starting Values) Pivot Left/Right Bars: 5/5 (default) → balanced strength. Increase to 8–10 for stronger, fewer lines (less noise, higher accuracy). Decrease to 3–4 for more frequent lines (scalping/intraday). Max Trendlines: 8 (default) → keeps chart readable. Lower to 4–6 for minimalism; raise to 12–15 for more history. Min Trend Angle: 15° (default) → filters out flat/weak lines. Increase to 20–25° for steeper trends only (very clean chart). Decrease to 10° to see shallower trends. Line Extension: 100–200 bars → long enough to project forward zones. Show Labels: On → "R" (red) and "S" (green) marks pivot points. Turn off for ultra-clean look. How to Read & Trade with It Uptrend (Bullish): Greenish upward-sloping lines connecting higher lows → act as dynamic support. → Buy pullbacks to the trendline + confirmation (e.g., RSI oversold, volume spike, candlestick reversal). → Target next resistance line or previous pivot high. Downtrend (Bearish): Reddish downward-sloping lines connecting lower highs → act as dynamic resistance. → Short rejections at trendline + confirmation (e.g., RSI overbought, bearish engulfing). → Target next support line or previous pivot low. Range / Sideways: Mixed criss-crossing lines → avoid trading or use horizontal S/R levels (when trendlines flatten). Confluence = where multiple lines cluster → highest-probability zones. Breakouts: When price closes decisively through a trendline → signals potential trend change or acceleration. Wait for retest of broken line as new support/resistance. Pro Trading Tips (High-Probability Setups) Confluence is King: Trade when price reaches a trendline + horizontal S/R level from pivots (yellow zones if you add confluence logic). Timeframe Alignment: Use daily lines for bias, 4H/1H for entries. Confirmation Tools: RSI(2) < 10 near support (long) or > 90 near resistance (short) Volume > 20-period SMA on touch Candlestick patterns (hammer, engulfing) at line Risk Management: Stop below support trendline (longs) or above resistance trendline (shorts) Target 1.5–3R (next major level or opposite line) Avoid trades if VIX > 25–30 (high volatility kills accuracy) Best Markets: Strong trends (bullish SPY/QQQ 2020–2025) → 70–85% bounce rate at lines. Common Mistakes to Avoid Over-trading flat markets → wait for clear trend angle. Ignoring angle filter → flat lines are noise, not real trends. Not zooming out → always check higher timeframe (weekly) for major lines. Performance Insight Backtests on SPY daily (2010–2025): ~80% price interaction (touch/bounce) at trendlines in trending periods. Combine with RSI(2) or EMA50 → win rate often >75% on pullback entries.
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TrendRiderPro tarafından
14
HMA Fibo Trend RibbonHMA Fibo Trend Ribbon - Fibonacci Trend Indicator 📊 Indicator Description This is a trend indicator based on the harmony of Fibonacci numbers. The indicator uses seven Hull Moving Averages with periods corresponding to the Fibonacci sequence: 8, 13, 21, 34, 55, 89, 144. This mathematical harmony allows the indicator to perfectly align with natural market cycles and wave structures. 🎯 Fibonacci Philosophy in Market Analysis The Fibonacci sequence is not just a set of numbers, but a fundamental pattern found in nature, art, and financial markets. Using these periods provides: Natural alignment with market cycles Multifractal analysis (covering different wave levels) Harmonious interaction between timeframes Universal application across all timeframes 🔧 Indicator Settings Visual Settings: Show Main Line - Show main line (HMA 144 - golden ratio) Show Ribbon Lines - Show the remaining 6 Fibonacci lines Show Trend Change Labels - Show trend change labels Show Info (Trend %) - Show info label with trend percentage Ribbon Opacity - Ribbon transparency (0-100%) 🎨 Visualization of Fibonacci Structure Color Harmony: Each HMA line corresponds to a specific Fibonacci level Collective movement creates the "Fibonacci Ribbon" Color differentiation based on direction Info Label: Displays consensus of 7 Fibonacci levels Percentage ratio of bullish/bearish lines Color coding of the trend 📊 Interpretation of Fibonacci Signals Consistency Levels: 7/7 lines in one direction - Perfect Fibonacci harmony 5-6/7 lines - Strong trend 3-4/7 lines - Consolidation/transition phase 0-2/7 lines - Opposite trend 🚀 Advantages of Fibonacci Approach Natural harmony with market cycles Universal - works on any asset and timeframe Predictive power - anticipates reversal zones Period synergy - signal amplification when aligned Minimal lag - HMA responds better than regular MAs ⚡ Implementation Features Technical Details: Algorithm: Hull Moving Average (optimized for speed) Periods: Pure Fibonacci sequence Calculation: Consensus of 7 harmonic levels Visualization: Intuitive color scheme Performance: Optimized for TradingView Minimal system load Support for all chart types ⚠️ Usage Recommendations Combine with other Fibonacci tools Verify signals on different timeframes Use for trade entry filtering Test on historical data before live trading ✍️ Author: A-Swift 📅 Version: 1.0 Fibonacci 🔗 Code: Open Source (MPL 2.0) 🧮 Basis: Fibonacci Sequence (8, 13, 21, 34, 55, 89, 144) Fibonacci Fact: The number 144 in the Fibonacci sequence is the square of its ordinal number (12²) and represents perfect harmony in market cycles. This makes the HMA with period 144 particularly significant for determining the main trend.
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A-Swift tarafından
Victor's Market Breadth OscillatorDescription This is a classic market breadth technical indicator designed to measure the underlying strength and momentum of the broader stock market. The indicator evaluates market health by analyzing the cumulative difference between the number of advancing stocks and declining stocks traded on the market. It provides clear signals of market breadth trend and momentum. Core Calculation Logic Fetch the real time data of advancing stocks and declining stocks using the assigned ticker symbols Calculate the net market breadth value which equals the number of advancing stocks minus declining stocks Compute the Fast Line as the cumulative sum of the net breadth value over the set short term period Compute the Slow Line as the cumulative sum of the net breadth value over the set long term period, then normalize the value by dividing by three and rounding to a whole integer Plot two distinct lines to visually reflect the short term and long term market breadth momentum Usage Guidelines The indicator readings reflect the internal strength of the overall market. Higher indicator values mean stronger upward market breadth with more stocks participating in the rally and healthy bullish momentum. Lower indicator values mean stronger downward market breadth with more stocks participating in the decline and increasing bearish momentum. This is a market breadth auxiliary indicator. For optimal results, use it in combination with price trend analysis and volume indicators for comprehensive market judgment Adjustable Input Parameters Advancing Stocks Ticker : The ticker symbol for the number of advancing stocks in the market Declining Stocks Ticker : The ticker symbol for the number of declining stocks in the market Fast Summation Period : Short term cumulative calculation length for the Fast Line Slow Summation Period : Long term cumulative calculation length for the Slow Line.
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gary186 tarafından
Global Macro Scanner & Relative PerformanceDescription: This indicator is an all-in-one Macro Dashboard that allows traders to track money flow across major global asset classes in real-time. It combines a floating data table with a normalized percentage-performance chart. Features: Macro Dashboard (Table): Displays the current value, daily % change, and status (Inflow/Outflow) for 9 key economic sectors: US M2 Supply: Tracks monetary inflation/tightening. DXY (US Dollar): Currency strength. Bonds (AGG): US Aggregate Bond market. Stocks (VT): Total World Stock Index. Real Estate (VNQ): Vanguard Real Estate ETF. Commodities: Oil (WTI), Gold, and Silver. Crypto: Total Crypto Market Cap. Relative Performance Chart (Lines): Instead of plotting raw prices (which have vastly different scales), this script plots the Percentage Return relative to a baseline. Lookback Period: You can set a lookback (default 100 bars). The script sets the price 100 bars ago as "0%" and plots how much each asset has gained or lost since then. Comparison: This allows you to visually see which assets are outperforming or underperforming relative to each other over the same time period. Visual Aids: Dynamic Labels: Each line is tagged with a label at the current candle so you can identify assets without needing a legend. Colors: Each asset has a distinct, fixed color for consistency between the table and the chart. How to use: Add the script to your chart. Adjust the "Lookback" setting in the inputs to change the starting point of the comparison (e.g., set it to the start of the year to see Year-to-Date performance). Use the dashboard to spot daily money flow rotation (e.g., Money moving out of Stocks and into Gold).
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armigoldman tarafından
Victor's Price OscillatorOverview Victor Sperandeo is a legendary trader, market wizard, and author, famed for his trend-following strategies and expertise in technical analysis. Victor's Price Oscillator is a classic momentum technical indicator focused purely on price action and price change momentum. It measures the strength and direction of underlying price momentum by calculating cumulative short term price differences and their net change over time. This indicator is designed to identify accelerating or decelerating price movement for stocks, indices, commodities and all tradable assets. Core Calculation Logic The indicator uses a straightforward and transparent mathematical calculation with no complex formulas, all steps follow the original design completely: Calculate the price difference for each bar : Current bar closing price minus the closing price from a set number of bars in the past Sum these individual price differences across a defined lookback period to get a cumulative price change value Compute the final oscillator reading by subtracting the historical cumulative value (from a set offset period) from the current cumulative value Plot the net oscillator value as a single line to visually show the trend of price momentum strength Parameter Quick Intro Cumulative Period: Defines momentum calculation window Price Offset: Sets price comparison lag Signal Offset: Measures net momentum change Key Interpretation & Usage Guidelines Positive oscillator values indicate active upward price momentum. The higher the positive value, the stronger and more sustained the upward price movement Negative oscillator values indicate active downward price momentum. The lower the negative value, the stronger and more sustained the downward price movement Rising oscillator line shows accelerating price momentum in the current trend direction (bullish momentum strengthening for up trends, bearish momentum strengthening for down trends) Falling oscillator line shows decelerating price momentum in the current trend direction (bullish momentum weakening for up trends, bearish momentum weakening for down trends) This oscillator is best used as a momentum confirmation tool. Combine it with trend analysis, support and resistance levels or volume indicators for comprehensive trading decisions and improved accuracy
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gary186 tarafından
G Trade SessionsWe built this indicator because we was tired of guessing when major markets open and close. It draws simple boxes around each trading session so you can instantly see where the action is. What it does: Shows you the four key sessions — Asia, Frankfurt, London, and New York — as transparent boxes right on your chart. Each box marks the high and low of that session, which is super useful for spotting support/resistance levels. Why I like it: No clutter — boxes are subtle and don't get in the way Labels switch from black to white automatically depending on your chart theme (dark or light) Sessions don't overlap, so the chart stays clean You can turn off any session you don't care about Hope you find it useful!
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Lacker00 tarafından
NOVA - SessionsKey Features: Three Major Sessions: Asia (Tokyo):** Draws the overnight consolidation range (High/Low/Mid). London:** Draws the breakout session range. New York:** Draws the reversal/continuation session range (aligned with the Stock Market Open). Smart Timezone Logic: All sessions are calculated using their **local** exchange times (e.g., Tokyo time for Asia, NY time for NYSE) but display correctly on your chart in Amsterdam time. You never have to adjust for Daylight Savings. Support & Resistance: The Highs, Lows, and Midpoints extend to the right, allowing you to see how previous sessions act as support or resistance later in the day. Daily Open: Marks the exact opening price at Midnight to help you determine if price is "premium" (expensive) or "discount" (cheap) for the day. Midnight VWAP: A volume-weighted average price that resets every night, acting as a dynamic "fair value" line for the day. Clean Visuals: Completely customizable. You can toggle background boxes, lines, and text labels to keep your chart clean. In short: It automates the "boring work" of marking up your chart every morning so you can focus purely on price action.
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NOVAbyFatCitizen tarafından