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Liquidity + FVG + OB Markings (Fixed v6)This indicator is built for price-action traders. It automatically finds and plots three key structures on your chart: Liquidity Levels – swing highs & lows that often get targeted by price. Fair-Value Gaps (FVG) – inefficient price gaps between candles. Order-Blocks (OB) – zones created by strong, high-volume impulsive candles. It also provides alerts and a small information table so you can quickly gauge the current market context.
Chỉ báo Pine Script®
bởi shiyamsunder87
2
Adaptive Heikin Ashi [CHE]Adaptive Heikin Ashi — volatility-aware HA with fewer fake flips Summary Adaptive Heikin Ashi is a volatility-aware reinterpretation of classic Heikin Ashi that continuously adjusts its internal smoothing based on the current ATR regime, which means that in quiet markets the indicator reacts more quickly to genuine directional changes, while in turbulent phases it deliberately increases its smoothing to suppress jitter and color whipsaws, thereby reducing “noise” and cutting down on fake flips without resorting to heavy fixed smoothing that would lag everywhere. Motivation: why adapt at all? Classic Heikin Ashi replaces raw OHLC candles with a smoothed construction that averages price and blends each new candle with the previous HA state, which typically cleans up trends and improves visual coherence, yet its fixed smoothing amount treats calm and violent markets the same, leading to the usual dilemma where a setting that looks crisp in a narrow range becomes too nervous in a spike, and a setting that tames high volatility feels unnecessarily sluggish as soon as conditions normalize; by allowing the smoothing weight to expand and contract with volatility, Adaptive HA aims to keep candles readable across shifting regimes without constant manual retuning. What is different from normal Heikin Ashi? Fixed vs. adaptive blend: Classic HA implicitly uses a fixed 50/50 blend for the open update (`HA_open_t = 0.5 HA_open_{t-1} + 0.5 HA_close_{t-1}`), while this script replaces the constant 0.5 with a dynamic weight `w_t` that oscillates around 0.5 as a function of observed volatility, which turns the open update into an EMA-like filter whose “alpha” automatically changes with market conditions. Volatility as the steering signal: The script measures volatility via ATR and compares it to a rolling baseline (SMA of ATR over the same length), producing a normalized deviation that is scaled by sensitivity, clamped to ±1 for stability, and then mapped to a bounded weight interval ` `, so the adaptation is strong enough to matter but never runs away. Outcome that matters to traders: In high volatility, the weight shifts upward toward the prior HA open, which strengthens smoothing exactly where classic HA tends to “chatter,” while in low volatility the weight shifts downward toward the most recent HA close, which speeds up reaction so quiet trends do not feel artificially delayed; this is the practical mechanism by which noise and fake signals are reduced without accepting blanket lag. How it works 1. HA close matches classic HA: `HA_close_t = (Open_t + High_t + Low_t + Close_t) / 4` 2. Volatility normalization: `ATR_t` is computed over `atr_length`, its baseline is `ATR_SMA_t = SMA(ATR, atr_length)`, and the raw deviation is `(ATR_t / ATR_SMA_t − 1)`, which is then scaled by `adapt_sensitivity` and clamped to ` ` to obtain `v_t`, ensuring that pathological spikes cannot destabilize the weighting. 3. Adaptive weight around 0.5: `w_t = 0.5 + oscillation_range v_t`, giving `w_t ∈ `, so with a default `range = 0.20` the weight stays between 0.30 and 0.70, which is wide enough to matter but narrow enough to preserve HA identity. 4. EMA-like open update: On the very first bar the open is seeded from a stable combination of the raw open and close, and thereafter the update is `HA_open_t = w_t HA_open_{t−1} + (1 − w_t) HA_close_{t−1}`, which is equivalent to an EMA where higher `w_t` means heavier inertia (more smoothing) and lower `w_t` means stronger pull to the latest price information (more responsiveness). 5. High and low follow classic HA composition: `HA_high_t = max(High_t, max(HA_open_t, HA_close_t))`, `HA_low_t = min(Low_t, min(HA_open_t, HA_close_t))`, thereby keeping visual semantics consistent with standard HA so that your existing reading of bodies, wicks, and transitions still applies. Why this reduces noise and fake signals in practice Fake flips in HA typically occur when a fixed blending rule is forced to process candles during a volatility surge, producing rapid alternations around pivots or within wide intrabar ranges; by increasing smoothing exactly when ATR jumps relative to its baseline, the adaptive open stabilizes the candle body progression and suppresses transient color changes, while in the opposite scenario of compressed ranges, the reduced smoothing allows small but persistent directional pressure to reflect in candle color earlier, which reduces the tendency to enter late after multiple slow transitions. Parameter guide (what each input really does) ATR Length (default 14): controls both the ATR and its baseline window, where longer values dampen the adaptation by making the baseline slower and the deviation smaller, which is helpful for noisy lower timeframes, while shorter values make the regime detector more reactive. Oscillation Range (default 0.20): sets the maximum distance from 0.5 that the weight may travel, so increasing it towards 0.25–0.30 yields stronger smoothing in turbulence and faster response in calm periods, whereas decreasing it to 0.10–0.15 keeps the behavior closer to classical HA and is useful if your strategy already includes heavy downstream smoothing. Adapt Sensitivity (default 6.0): multiplies the normalized ATR deviation before clamping, such that higher sensitivity accelerates adaptation to regime shifts, while lower sensitivity produces gradual transitions; negative values intentionally invert the mapping (higher vol → less smoothing) and are generally not recommended unless you are testing a counter-intuitive hypothesis. Reading the candles and the optional diagnostic You interpret colors and bodies just like with normal HA, but you can additionally enable the Adaptive Weight diagnostic plot to see the regime in real time, where values drifting up toward the upper bound indicate a turbulent context that is being deliberately smoothed, and values gliding down toward the lower bound indicate a calm environment in which the indicator chooses to move faster, which can be valuable for discretionary confirmation when deciding whether a fresh color shift is likely to stick. Practical workflows and combinations Trend-following entries: use color continuity and body expansion as usual, but expect fewer spurious alternations around news spikes or into liquidity gaps; pairing with structure (swing highs/lows, breaks of internal ranges) keeps entries disciplined. Exit management: when the diagnostic weight remains elevated for an extended period, you can be stricter with exit triggers because flips are less likely to be accidental noise; conversely, when the weight is depressed, consider earlier partials since the indicator is intentionally more nimble. Multi-asset, multi-TF: the adaptation is especially helpful if you rotate instruments with very different vol profiles or hop across timeframes, since you will not need to retune a fixed smoothing parameter every time conditions change. Behavior, constraints, and performance The script does not repaint historical bars and uses only past information on closed candles, yet just like any candle-based visualization the current live bar will update until it closes, so you should avoid acting on mid-bar flips without a rule that accounts for bar close; there are no `security()` calls or higher-timeframe lookups, which keeps performance light and execution deterministic, and the clamping of the volatility signal ensures numerical stability even during extreme ATR spikes. Sensible defaults and quick tuning Start with the defaults (`ATR 14`, `Range 0.20`, `Sensitivity 6.0`) and observe the weight plot across a few volatile events; if you still see too many flips in turbulence, either raise `Range` to 0.25 or trim `Sensitivity` to 4–5 so that the weight can move high but does not overreact, and if the indicator feels too slow in quiet markets, lower `Range` toward 0.15 or raise `Sensitivity` to 7–8 to bias the weight a bit more aggressively downward when conditions compress. What this indicator is—and is not Adaptive Heikin Ashi is a context-aware visualization layer that improves the signal-to-noise ratio and reduces fake flips by modulating smoothing with volatility, but it is not a complete trading system, it does not predict the future, and it should be combined with structure, risk controls, and position management that fit your market and timeframe; always forward-test on your instruments, and remember that even adaptive smoothing can delay recognition at sharp turning points when volatility remains elevated. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Best regards and happy trading Chervolino
Chỉ báo Pine Script®
bởi chervolino
1
SMC Volatility Liquidity Prothis one’s a confluence signaler. it fires “BUY CALL” / “BUY PUT” labels only when four things line up at once: trend, volatility squeeze, a liquidity sweep, and MACD momentum. quick breakdown: what each block does Trend filter (context) ema50 > ema200 ⇒ trendUp ema50 < ema200 ⇒ trendDn Plots both EMAs for visual context. Volatility compression (setup) 20-period Bollinger Bands (stdev 2). bb_squeeze is true when current band width < its 20-SMA ⇒ price is compressed (potential energy building). Liquidity sweep (trigger) Tracks 20-bar swing high/low. Long sweep: high > swingHigh ⇒ price just poked above the prior 20-bar high (took buy-side liquidity). Short sweep: low < swingLow ⇒ price just poked below the prior 20-bar low (took sell-side liquidity). MACD momentum (confirmation) Standard MACD(12,26,9) histogram. Bullish: hist > 0 and rising versus previous bar. Bearish: hist < 0 and falling. the actual entry signals LongEntry = trendUp AND bb_squeeze AND liquiditySweepLong AND macdBullish → prints a green “BUY CALL” label below the bar. ShortEntry = trendDn AND bb_squeeze AND liquiditySweepShort AND macdBearish → prints a red “BUY PUT” label above the bar. alerts & dashboard Alerts: fires when those long/short conditions hit so you can set TradingView alerts on them. On-chart dashboard (bottom-right): Trend (Bullish/Bearish/Neutral) Squeeze (Yes/No) Liquidity (Long/Short/None) Momentum (Bullish/Bearish/Neutral) Current Signal (BUY CALL / BUY PUT / WAIT) (btw the comment says “2 columns × 5 rows” but the table is actually 5 columns × 2 rows—values under each label across the row.) what it’s trying to capture (in plain english) Trade with the higher-timeframe bias (EMA 50 over 200). Enter as volatility compresses (bands tight) and a sweep grabs stops beyond a 20-bar extreme. Only pull the trigger when momentum agrees (MACD hist direction & side of zero). caveats / tips It’s an indicator, not a strategy—no entries/exits/backtests baked in. Signals are strict (4 filters), so you’ll get fewer but “cleaner” prints; still not magical. The liquidity-sweep check uses the prior bar’s 20-bar high/low ( ), so on bar close it won’t repaint; intrabar alerts may feel jumpy if you alert “on every tick.” Consider adding: Exit logic (e.g., ATR stop + take-profit, or opposite signal). Minimum squeeze duration (e.g., bb_squeeze true for N bars) to avoid one-bar dips in width. Cool-down after a signal to prevent clustering. Session/time or volume filter if you only want liquid hours. if you want, I can convert this into a backtestable strategy() version with ATR-based stops/targets and a few toggles, so you can see stats right away.
Chỉ báo Pine Script®
bởi lessandoval617
Mystic Pulse V2.0 [CHE] Mystic Pulse V2.0 — Adaptive DI streaks with gradient intensity for clearer trend persistence Summary Mystic Pulse V2.0 measures directional persistence by counting how often the positive or negative directional index strengthens and dominates. These counts drive gradient colors for bars, wicks, and helper plots, so intensity reflects local momentum rather than absolute values. A windowed normalization and gamma control adapt the visuals to recent conditions, preventing one regime from overpowering the next. The result is an immediate, at-a-glance read of trend direction and stamina without relying on crossovers alone. Motivation: Why this design? Classical DI and ADX signals can flip during choppy phases or feel sluggish in calm regimes. This script focuses on persistence: it increments a positive or negative streak only when the corresponding directional pressure both strengthens compared with the prior bar and dominates the other side. Simple OHLC pre-smoothing reduces micro-noise, and local normalization keeps the scale relevant to the last segment of data, not a distant past. What’s different vs. standard approaches? Reference baseline: Traditional DI and ADX lines with crossovers and fixed-scale thresholds. Architecture differences: Wilder-style recursive smoothing on true range and directional movement. Streak counters for positive and negative pressure that advance only on strengthening and dominance. Windowed normalization and gamma shaping for visual intensity. Wick coloring via `plotcandle` with forced overlay from a pane indicator. Practical effect: Bars and wicks grow more vivid during sustained pressure and fade during indecision. The column plots show streak depth directly, which helps filter one-bar flips. How it works (technical) 1. Pre-smoothing: Open, high, low, and close are averaged over a short simple moving window to dampen micro-ticks. 2. Directional inputs: True range and directional movement are formed from the smoothed prices, then recursively smoothed using a Wilder-style update that carries prior state forward. 3. DI comparison: The script derives positive and negative directional ratios relative to smoothed range. A side advances its streak when it increases compared with the previous bar and exceeds the opposite side. The other streak resets. 4. Trend score and color base: The difference between positive and negative streaks defines the active side. 5. Normalization and gamma: The absolute streak magnitude and each side’s streak are normalized within a rolling window. Gamma parameters reshape intensity so mid-range values are either compressed or emphasized. 6. Rendering: Two column plots show positive and negative streak counts in the pane with gradient colors. A square marker at the bottom uses the global gradient as a compact heat cue. Bar colors on the main chart use either the gradient, neutral trend colors, or no paint depending on toggles. Wick, border, and candle overlays are colored via `plotcandle` with forced overlay. 7. State handling: Smoothed values and counters persist across bars; initialization uses first available values without lookahead. No higher-timeframe requests are used, so repaint risk is limited to normal live-bar evolution. Parameter Guide Show neutral candles (fallback) — Paints main-chart bars in plain up or down colors when gradients are disabled — Default false — Use when you prefer simple up/down coloring. Show last N shapes — Limits bottom square markers — Default 333 — Reduce if your chart gets cluttered. ADX smoothing length — Controls the Wilder smoothing window for range and directional movement — Default 9 — Larger values increase stability but respond later. OHLC SMA length — Pre-smoothing for inputs — Default 1 — Increase slightly on noisy assets to reduce flip risk. Gradient barcolor — Enables gradient bar paint on the main chart — Default true — Turn off to use wicks only or neutral bars. Wick coloring — Colors wicks, borders, and bodies via overlay — Default true — Disable if it conflicts with other overlays. Gradient window — Lookback for local normalization — Default 100 — Shorter windows adapt faster; longer windows provide steadier intensity. Gradient transparency — Overall transparency for gradient paints — Default 0 — Increase to make gradients subtler. Gamma bars/shapes — Contrast for bar and shape intensity — Default 0.70 — Lower values brighten mid-tones; higher values compress them. Gamma plots — Contrast for the column plots — Default 0.80 — Tune separately from bar intensity. Wick transparency — Transparency for wick coloring — Default 0 — Raise to let price action show through. Up/Down colors (dark and neon) — Base and accent colors for both directions — Defaults as provided — Adjust to match your chart theme. Reading & Interpretation Pane columns: The green column represents the positive streak count; the red column represents the negative streak count. Taller columns signal stronger persistence. Gradient marker: The bottom square indicates the active side and persistence strength at a glance. Main-chart bars and wicks: Color direction shows the dominant side; intensity reflects the normalized and gamma-shaped streak magnitude. Faded tones suggest weak or fading pressure. Practical Workflows & Combinations Trend following: Enter in the direction of the active side when the corresponding column expands over several bars. Confirm with structure such as higher highs and higher lows or lower highs and lower lows. Exits and stops: Consider scaling out when intensity fades toward mid-range while structure stalls. Tighten stops after extended streaks or when wicks lose intensity. Multi-asset/Multi-TF: Use defaults for liquid assets on intraday to swing timeframes. For highly volatile instruments, raise smoothing and the normalization window. For calm markets, lower them to regain sensitivity. Behavior, Constraints & Performance Repaint/confirmation: Values update during the live bar and stabilize after bar close. No historical repaint beyond normal live-bar updates. security()/HTF: Not used; cross-timeframe repaint paths do not apply. Resources: Declared `max_bars_back` two thousand; no explicit loops or arrays; plot and label limits are generous. Known limits: Streak counters can remain elevated during slow reversals. Very short normalization windows can cause rapid intensity swings. Gaps or extreme spikes may temporarily distort intensity until the window adapts. Sensible Defaults & Quick Tuning Start with: ADX smoothing nine, OHLC SMA one, normalization window one hundred, gradient and wick coloring enabled, gamma around zero point seven to zero point eight. Too many flips: Increase ADX smoothing and the normalization window; consider a small bump in OHLC SMA. Too sluggish: Decrease ADX smoothing and the normalization window. Colors overpower chart: Increase gradient and wick transparency or raise gamma to compress mid-tones. What this indicator is—and isn’t This is a visualization and signal layer that represents directional persistence and intensity. It does not issue trade entries or exits on its own and is not predictive. Use it alongside market structure, volume, and risk controls. Disclaimer The content, including any code, is for educational and informational purposes only and does not constitute financial advice or a recommendation to buy or sell any instrument. Trading involves substantial risk, including the possible loss of principal. Past performance is not indicative of future results. Always do your own research and consider consulting a qualified professional.
Chỉ báo Pine Script®
bởi chervolino
QTheoryQTheory – This indicator is built on Quarterly Theory (developed by Daye) 🔹 Quarterly Theory Markets often unfold in repeating quarterly cycles (Q1–Q4) across multiple timeframes — yearly, monthly, weekly, daily, 90-minute, and even micro cycles. By dividing price action into these quarters, traders can better anticipate structural shifts, accumulation/distribution phases, and liquidity runs. 🔹 Sequential SMT (SSMT) Sequential SMT extends standard SMT (Smart Money Technique) by comparing multiple assets (such as FX majors) to identify divergences across quarters. 🔹 Features of QTheory Automatic detection of quarterly cycles across multiple timeframes. Visual cycle boxes & customizable dividers. Integrated SSMT signals with divergence line visualization. DFR (Defining Range) with Fibonacci levels. Support for up to 5 comparison assets, with inversion options. Auto-cycle selection for seamless multi-timeframe adaptation. Extensive customization for colors, opacity, and signal display. 🔹 How it works QTheory divides price data into consistent “quarters” across multiple timeframes. Within each cycle, it tracks highs, lows, and divergences, then overlays this information as boxes, dividers, and optional signals on your chart. Traders can use these visual cues to better align entries and exits with institutional market behavior patterns. 🔹 How to use it Enable the desired cycle type (e.g., weekly, daily, 90-minute) from the settings. Toggle boxes, dividers, and signals depending on your trading style. Use SSMT divergences and DFR Fibs to anticipate a reversal Compare against other assets (e.g., DXY or correlated pairs) to refine confluence. ⚠️ Disclaimer: This tool is for educational purposes only. It does not constitute financial advice. Always perform your own analysis and risk management. Attribution: Portions of this script extend the quarter-cycle logic from TFlab’s “Quarterly Theory ICT 04”, released under the Mozilla Public License 2.0
Chỉ báo Pine Script®
bởi karlfredrik
OBV Cross Signals With Buy/Sell & AlertThis TradingView indicator generates Buy and Sell signals based on the On-Balance Volume (OBV) and its Signal line crossover/crossunder. Labels are plotted just above or below the candles at the exact points where OBV crosses the Signal line. It includes a single alert (“New Cross”) that triggers once per new crossover or crossunder, allowing traders to receive timely notifications for potential trend changes. Built using an existing open-source OBV script on TradingView. Sincere thanks to Everget for the base code.
Chỉ báo Pine Script®
bởi arupnj2018
LT's RSI Invalidation Targets//@version=5 indicator("Triple RSI Divergence", overlay=true) // === INPUTS === rsiLength = input.int(14, title="RSI Length") src = input.source(close, "Source") lookback = input.int(50, title="Lookback Period") // === RSI === rsi = ta.rsi(src, rsiLength) // === Find local peaks and troughs === isTop = ta.pivothigh(rsi, 5, 5) isBottom = ta.pivotlow(rsi, 5, 5) var float rsiTroughs = array.new_float() var float priceTroughs = array.new_float() var int rsiTroughBars = array.new_int() if isBottom array.unshift(rsiTroughs, rsi ) array.unshift(priceTroughs, low ) array.unshift(rsiTroughBars, bar_index ) if array.size(rsiTroughs) > 3 array.pop(rsiTroughs) array.pop(priceTroughs) array.pop(rsiTroughBars) // === Check for triple bullish divergence === bullDiv = false if array.size(rsiTroughs) == 3 r1 = array.get(rsiTroughs, 2) r2 = array.get(rsiTroughs, 1) r3 = array.get(rsiTroughs, 0) p1 = array.get(priceTroughs, 2) p2 = array.get(priceTroughs, 1) p3 = array.get(priceTroughs, 0) // Price: Lower lows, RSI: Higher lows if p1 > p2 and p2 > p3 and r1 < r2 and r2 < r3 bullDiv := true label.new(array.get(rsiTroughBars, 0), low, "Triple Bullish Divergence", style=label.style_label_up, color=color.green, textcolor=color.white) // === Same for triple bearish divergence === var float rsiPeaks = array.new_float() var float pricePeaks = array.new_float() var int rsiPeakBars = array.new_int() if isTop array.unshift(rsiPeaks, rsi ) array.unshift(pricePeaks, high ) array.unshift(rsiPeakBars, bar_index ) if array.size(rsiPeaks) > 3 array.pop(rsiPeaks) array.pop(pricePeaks) array.pop(rsiPeakBars) bearDiv = false if array.size(rsiPeaks) == 3 r1 = array.get(rsiPeaks, 2) r2 = array.get(rsiPeaks, 1) r3 = array.get(rsiPeaks, 0) p1 = array.get(pricePeaks, 2) p2 = array.get(pricePeaks, 1) p3 = array.get(pricePeaks, 0) // Price: Higher highs, RSI: Lower highs if p1 < p2 and p2 < p3 and r1 > r2 and r2 > r3 bearDiv := true label.new(array.get(rsiPeakBars, 0), high, "Triple Bearish Divergence", style=label.style_label_down, color=color.red, textcolor=color.white)
Chỉ báo Pine Script®
bởi FirstKLR
RSI ROC Signals with Price Action# RSI ROC Signals with Price Action ## Overview The RSI ROC (Rate of Change) Signals indicator is an advanced momentum-based trading system that combines RSI velocity analysis with price action confirmation to generate high-probability buy and sell signals. This indicator goes beyond traditional RSI analysis by measuring the speed of RSI changes and requiring price confirmation before triggering signals. ## Core Concept: RSI Rate of Change (ROC) ### What is RSI ROC? RSI ROC measures the **velocity** or **acceleration** of the RSI indicator, providing insights into momentum shifts before they become apparent in traditional RSI readings. **Formula**: `RSI ROC = ((Current RSI - Previous RSI) / Previous RSI) × 100` ### Why RSI ROC is Superior to Standard RSI: 1. **Early Momentum Detection**: Identifies momentum shifts before RSI reaches traditional overbought/oversold levels 2. **Velocity Analysis**: Measures the speed of momentum changes, not just absolute levels 3. **Reduced False Signals**: Filters out weak momentum moves that don't sustain 4. **Dynamic Thresholds**: Adapts to market volatility rather than using fixed RSI levels 5. **Leading Indicator**: Provides earlier signals compared to traditional RSI crossovers ## Signal Generation Logic ### 🟢 Buy Signal Process (3-Stage System): #### Stage 1: Trigger Activation - **RSI ROC** > threshold (default 7%) - RSI accelerating upward - **Price ROC** > 0 - Price moving higher - Records the **trigger high** (highest point during trigger) #### Stage 2: Invalidation Check - Signal invalidated if **RSI ROC** drops below negative threshold - Prevents false signals during momentum reversals #### Stage 3: Confirmation - **Price breaks above trigger high** - Price action confirmation - **Current candle is green** (close > open) - Bullish price action - **State alternation** - Ensures no consecutive duplicate signals ### 🔴 Sell Signal Process (3-Stage System): #### Stage 1: Trigger Activation - **RSI ROC** < negative threshold (default -7%) - RSI accelerating downward - **Price ROC** < 0 - Price moving lower - Records the **trigger low** (lowest point during trigger) #### Stage 2: Invalidation Check - Signal invalidated if **RSI ROC** rises above positive threshold - Prevents false signals during momentum reversals #### Stage 3: Confirmation - **Price breaks below trigger low** - Price action confirmation - **Current candle is red** (close < open) - Bearish price action - **State alternation** - Ensures no consecutive duplicate signals ## Key Features ### 🎯 **Smart Signal Management** - **State Alternation**: Prevents signal clustering by alternating between buy/sell states - **Trigger Invalidation**: Automatically cancels weak signals that lose momentum - **Price Confirmation**: Requires actual price breakouts, not just momentum shifts - **No Repainting**: Signals are confirmed and won't disappear or change ### ⚙️ **Customizable Parameters** #### **RSI Length (Default: 14)** - Standard RSI calculation period - Shorter periods = more sensitive to price changes - Longer periods = smoother, less noisy signals #### **Lookback Period (Default: 1)** - Period for ROC calculations - 1 = compares to previous bar (most responsive) - Higher values = smoother momentum detection #### **RSI ROC Threshold (Default: 7%)** - Minimum RSI velocity required for signal trigger - Lower values = more signals, potentially more noise - Higher values = fewer but higher-quality signals ### 📊 **Visual Signals** - **Green Arrow Up**: Buy signal below price bar - **Red Arrow Down**: Sell signal above price bar - **Clean Chart**: No additional lines or oscillators cluttering the view - **Size Options**: Customizable arrow sizes for visibility preferences ## Advantages Over Traditional Indicators ### vs. Standard RSI: ✅ **Earlier Signals**: Detects momentum changes before RSI reaches extremes ✅ **Dynamic Thresholds**: Adapts to market conditions vs. fixed 30/70 levels ✅ **Velocity Focus**: Measures momentum speed, not just position ✅ **Better Timing**: Combines momentum with price action confirmation ### vs. Moving Average Crossovers: ✅ **Leading vs. Lagging**: RSI ROC is forward-looking vs. backward-looking MAs ✅ **Volatility Adaptive**: Automatically adjusts to market volatility ✅ **Fewer Whipsaws**: Built-in invalidation logic reduces false signals ✅ **Momentum Focus**: Captures acceleration, not just direction changes ### vs. MACD: ✅ **Price-Normalized**: RSI ROC works consistently across different price ranges ✅ **Simpler Logic**: Clear trigger/confirmation process vs. complex crossovers ✅ **Built-in Filters**: Automatic signal quality control ✅ **State Management**: Prevents over-trading through alternation logic ## Trading Applications ### 📈 **Trend Following** - Use in trending markets to catch momentum continuations - Combine with trend filters for directional bias - Excellent for breakout strategies ### 🔄 **Swing Trading** - Ideal timeframes: 4H, Daily, Weekly - Captures major momentum shifts - Perfect for position entries/exits ### ⚡ **Scalping (Advanced Users)** - Lower timeframes: 1m, 5m, 15m - Reduce threshold for more frequent signals - Combine with volume confirmation ### 🎯 **Momentum Strategies** - Perfect for momentum-based trading systems - Identifies acceleration phases in trends - Complements breakout and continuation patterns ## Optimization Guidelines ### **Conservative Settings (Lower Risk)** - RSI Length: 21 - ROC Threshold: 10% - Lookback: 2 ### **Standard Settings (Balanced)** - RSI Length: 14 (default) - ROC Threshold: 7% (default) - Lookback: 1 (default) ### **Aggressive Settings (Higher Frequency)** - RSI Length: 7 - ROC Threshold: 5% - Lookback: 1 ## Best Practices ### 🎯 **Entry Strategy** 1. Wait for signal arrow confirmation 2. Consider market context (trend, support/resistance) 3. Use proper position sizing based on volatility 4. Set stop-loss below/above trigger levels ### 🛡️ **Risk Management** 1. **Stop Loss**: Place beyond trigger high/low levels 2. **Position Sizing**: Use 1-2% risk per trade 3. **Market Context**: Avoid counter-trend signals in strong trends 4. **Time Filters**: Consider avoiding signals near major news events ### 📊 **Backtesting Recommendations** 1. Test on multiple timeframes and instruments 2. Analyze win rate vs. average win/loss ratio 3. Consider transaction costs in backtesting 4. Optimize threshold values for different market conditions ## Technical Specifications - **Pine Script Version**: v6 - **Signal Type**: Non-repainting, confirmed signals - **Calculation Basis**: RSI velocity with price action confirmation - **Update Frequency**: Real-time on bar close - **Memory Management**: Efficient state tracking with minimal resource usage ## Ideal For: - **Momentum Traders**: Captures acceleration phases - **Swing Traders**: Medium-term position entries/exits - **Breakout Traders**: Confirms momentum behind breakouts - **System Traders**: Mechanical signal generation with clear rules This indicator represents a significant evolution in momentum analysis, combining the reliability of RSI with the precision of rate-of-change analysis and the confirmation of price action. It's designed for traders who want sophisticated momentum detection with built-in quality controls.
Chỉ báo Pine Script®
bởi padavans
Multi-Asset Arbitrage CalculatorMulti-Asset Arbitrage Calculator 📊 Overview A comprehensive Pine Script indicator designed to identify and monitor arbitrage opportunities across multiple trading pairs in real-time. This tool calculates potential profit percentages from various transaction paths while accounting for trading fees and market inefficiencies. 🎯 Purpose - Arbitrage Detection : Automatically identifies price discrepancies between related trading pairs - Multi-Path Analysis : Supports up to 10 simultaneous arbitrage loops with different transaction sequences - Fee Integration : Incorporates comprehensive fee structures for realistic profit calculations - Real-Time Monitoring : Provides continuous monitoring with customizable alert thresholds 🚀 Key Features Flexible Transaction Paths - Triangular Arbitrage : A→B→C→A patterns for three-asset opportunities - Direct Pairs : Simple A→B conversions - Reverse Paths : Inverse transaction sequences - Custom Routing : Multiple path options for diverse market scenarios Comprehensive Fee Structure - Start/End transaction fees - Deposit/Withdrawal fees - Inter-asset conversion fees - Configurable percentage-based calculations Professional Tools - Moving Average Smoothing: Reduces noise with configurable MA periods - Alert System : Individual and combined alert conditions - Weekend Detection : Visual highlighting for market hours - Clean Interface : Organized input groups for easy configuration 📋 Supported Transaction Types 1. `A→B→C→A` - Standard triangular arbitrage 2. `B→A→C→A` - Reverse entry triangular 3. `A→B→A→C` - Split conversion path 4. `A→C→B→A` - Alternative triangular route 5. `A→C→A→B` - Modified split path 6. `A→B` - Direct pair conversion 7. `A→B (Inverse)` - Inverse direct conversion 8. `B→A (Inverse)` - Reverse inverse conversion 🛠️ Configuration Options General Settings - Alert threshold percentage - Moving average period - Enable/disable individual loops Per Loop Settings - Transaction path selection - Three symbol inputs (A, B, C) - Six fee parameters (Start, Deposit, Step1, Step2, End, Withdraw) - Individual on/off controls 📈 Use Cases - Cross-Exchange Arbitrage : Identify price differences between exchanges - Currency Triangulation : Find inefficiencies in forex/crypto triangular paths - Fee Analysis : Understand the impact of trading costs on profitability - Market Research : Study price relationships and correlations ⚙️ Technical Specifications - Pine Script Version : v6 - Chart Type : Oscillator (overlay=false) - Data Source : Real-time price feeds via TradingView - Calculations : Percentage-based profit/loss with fee adjustments - Alerts : TradingView alert system integration 📊 Visual Elements - Clean Charts : Plots hidden by default for uncluttered interface - Weekend Highlighting : Yellow background during market closures - Color Coding : Distinct colors for each arbitrage loop - MA Overlay : Optional moving average display 🔧 Installation & Setup 1. Add indicator to TradingView chart 2. Configure desired number of arbitrage loops 3. Set symbol pairs for each active loop 4. Adjust fee parameters based on your broker/exchange 5. Set alert threshold percentage 6. Enable alerts for desired loops ⚠️ Important Notes - Real-time Data : Requires live market data for accurate calculations - Fee Accuracy : Ensure fee parameters match your actual trading costs - Market Hours : Consider exchange operating hours and liquidity - Risk Management : This is an analysis tool, not investment advice
Chỉ báo Pine Script®
bởi UnrektFUD
Multi Timeframe BOS & rBOSThis is the same Multi-Timeframe Break of Structure and Market Structure Shift posted by Lenny_Kiruthu. However, the only difference is the naming of Market Structure Shift to rBOS (Break of Structure Reverse). To me, they are all break of structures when previous peaks or valleys are violated. The only difference is in sequence. Once a sequence of BOS reverses, then a new sequence begins. To me, this simplifies the various terminology incorporated by different systems such as ICT or SMT which adds unnecessary complexity. eT
Chỉ báo Pine Script®
bởi CheapTricks
1
H/L Swings/pivots detectorThis indicator detects and labels swing highs and swing lows using pivot logic. It highlights market structure shifts by identifying: - Higher Highs (HH) and Lower Highs (LH) - Lower Lows (LL) and Higher Lows (HL) Traders often use these levels to analyze trends, reversals, and key support/resistance zones. The script also plots pivot markers above highs and below lows for visual clarity. This tool is designed for educational and analytical purposes, and it does not provide financial advice or guaranteed results. 📂 Categories (choose when publishing) Type of script → Indicator Category → Trend Analysis (fits best for HH/LL pivots) Optionally → Support/Resistance (if you emphasize pivots as zones) swing high swing low pivot points market structure trend analysis higher high lower low support resistance
Chỉ báo Pine Script®
bởi Yasser_Mahmoud
Liquidity+FVG+OB Strategy (v6)How the strategy works (summary) Entry Long when a Bullish FVG is detected (optionally requires a recent Bullish OB). Entry Short when a Bearish FVG is detected (optionally requires a recent Bearish OB). Stop Loss and Take Profit are placed using ATR multiples (configurable). Position sizing is fixed contract/lot size (configurable). You can require OB confirmation (within ob_confirm_window bars). Alerts still exist and visuals are preserved.
Chiến lược Pine Script®
bởi shiyamsunder87