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Tick Speed Dashboard Tick Velocity and Acceleration is a real-time market activity dashboard that measures how fast the market is updating and whether that activity is increasing or slowing down. The indicator displays all values directly on the chart in a clean dashboard table, making it easy to monitor market activity without adding extra plots below the chart. It measures: Speed: current received tick updates per second Acceleration: change in tick speed compared to the previous measurement window Relative Speed: current tick speed compared to its recent average Relative Acceleration: change in relative market speed Current Ticks: live tick count inside the active measurement window The relative values are especially useful because raw tick speed can vary depending on the symbol, data feed, market session and liquidity. By comparing the current speed to its own recent average, the indicator makes it easier to identify whether the market is currently moving faster or slower than normal. This can help identify: increasing market activity breakout acceleration news-driven volatility slowing momentum unusually fast or slow market conditions The dashboard includes clear status labels such as SLOW, NORMAL, ACTIVE, FAST and EXTREME, so the current market state can be read at a glance. The indicator is optimized for live market conditions, where incoming realtime updates allow the dashboard to measure current tick velocity and acceleration most accurately.

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của Schnuerchi

Smart Range Projection Smart Range Projection — Daily High/Low Forecast from Opening Volatility OVERVIEW This indicator projects the likely shape of the trading day early in the session, anchoring everything to the day's opening price. It plots the expected daily range envelope, an expansion range for potential trend day extension, and reversal zones near the projected extremes where price often exhausts or turns. The projection is built from a blend of four independent volatility inputs: daily ATR, opening volatility, CPR width, and an optional VIX multiplier. Once the opening window completes, the levels lock in for the rest of the session and do not shift. HOW IT WORKS 1. Daily ATR Baseline The previous day's confirmed ATR sets the expected full-day travel. A user-defined multiplier (default 1.0x) converts this into the projected day range. 2. Opening Volatility Factor The indicator measures the high-low range of the first N bars after the session opens (default 3 bars) and compares it to a rolling 20-day average of opening ranges. An unusually wide opening stretches the projection. An unusually narrow opening tightens it. The influence is user-controlled (default 0.5). 3. CPR Width Lean Central Pivot Range width is calculated from the previous day's high, low, and close. The current day's CPR width is compared to its 20-day average. A narrow CPR (relative to history) widens the projection because narrow CPRs statistically precede trending or expansion days. A wide CPR tightens the projection. 4. VIX Multiplier (Optional) An optional volatility-index input scales the entire projection based on the regime. Above the user-defined neutral level, the range widens. Below it, the range tightens. Disabled by default. Enable only if your local volatility index is available on TradingView. 5. Reversal and Expansion Zones - Projected High and Projected Low: the expected daily range envelope - Expansion High and Low: dashed lines beyond the normal range, marking trend day extension targets - Reversal Zones: shaded bands just inside the projected extremes where price often exhausts on normal days - Expansion Zones: shaded bands between the normal envelope and expansion lines, highlighting trend day extension territory NON-REPAINTING DESIGN - Prior-day values use historical offset with lookahead_off - Day open is tracked locally via session change detection - Projection levels lock once the opening window completes and remain fixed for the rest of the session - No future data access, no lookahead leak INPUTS - Daily ATR length and base range multiplier - Expansion multiplier and reversal zone percentage - Opening window bars and volatility influence - Optional VIX symbol, neutral level, and toggle - CPR lean toggle, dashboard toggle, level rounding toggle - Color customization for all elements DASHBOARD A status panel shows projected high and low, expansion high and low, day lean classification (Trend or Range bias from CPR width), measured opening volatility, and the active VIX multiplier. ALERTS Four alert conditions are available: - Price reached projected day high - Price reached projected day low - Price hit expansion high (trend day extension) - Price hit expansion low (trend day extension) HOW TO USE The projected high and low serve as the day's expected range boundaries. Price reaching these zones early often coincides with exhaustion on range days. The expansion lines act as continuation targets when strong directional moves break the normal range envelope. The day lean classification in the dashboard helps set expectations. A Trend lean (narrow CPR) suggests price is more likely to reach the expansion lines. A Range lean (wide CPR) suggests price is more likely to oscillate within the normal envelope and reverse at the extremes. This indicator works on intraday timeframes where multiple bars fit within a session. It is most effective on actively traded instruments with reliable opening sessions. NOTES This is a technical analysis tool intended for educational and informational purposes. Volatility projections are statistical estimates based on historical patterns and do not guarantee price will reach the projected levels. Always apply proper risk management and combine with your own trading methodology. CREDITS Original implementation. Uses TradingView built-in ATR, security, and array functions combined with original opening volatility and CPR width lean methodology.

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của darshakssc

Skew MTF Trend + Regime (fork)Skew MTF Trend + Regime, a fork of "Skew MTF Trend" by Skew (@52kskew), used with credit. All original trend logic is his; this version adds one column. What's added: a "Regime" dot next to each timeframe's direction arrow, describing the character of the move right now: - green = ORDERLY (clean move) - amber = CHOPPY (volatility expanding) - red = WHIPSAW (volatility spiking, MA read noisy) How: per timeframe, ratio of short- to long-window realized volatility: stdev(log returns, 5) / stdev(log returns, 30). Above 1.4 = amber, above 2.0 = red. What it is / isn't: it describes how the trend is behaving, not where price goes next. It is not a buy/sell signal, and it has no predictive edge (tested on BTC daily, it does not call tops or bottoms). Treat it as situational awareness: orderly vs choppy. Note: the table reflects the developing higher-timeframe bar, so the current cell updates until that bar closes (same behavior as the underlying trend arrows). Original:

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Fair Value Gap Continuation Framework Overview This strategy studies how price interacts with Fair Value Gaps (FVGs), which are areas that can form after strong directional price movement. The script identifies potential imbalance zones and monitors future price interaction with those areas. Rather than entering immediately after a gap forms, the strategy waits for price to revisit the zone and show signs of continuing in the original direction. The objective is to explore how imbalance zones may be incorporated into a rules-based trading framework. What Is a Fair Value Gap? A Fair Value Gap is commonly described as an area created when price moves rapidly, leaving a gap between portions of surrounding candles. In this script: Bullish gaps are identified after upward displacement. Bearish gaps are identified after downward displacement. Previously identified zones remain available for future analysis when price revisits them. Strategy Logic Gap Identification The script searches for simple three-candle imbalance patterns that may indicate a Fair Value Gap. Zone Retest Once a gap has been identified, the strategy waits for price to return to that area. Continuation Confirmation A trade is considered only after price revisits the zone and closes back in the direction of the original move. Risk Management Stop-loss and target levels are calculated using ATR, allowing risk parameters to adapt to changing volatility conditions. Features Fair Value Gap detection Retest-based entries ATR-based risk management Trend continuation framework Research and testing focused design Intended Use This script is designed as an educational example demonstrating one approach to identifying and testing Fair Value Gap behavior. It may be used to study: Price imbalances Retest behavior Trend continuation concepts Volatility-adjusted exits Users may choose to modify parameters and test the script across different symbols and timeframes. Notes Fair Value Gap concepts are interpreted differently by different traders. This script provides one simplified implementation and should not be considered a complete representation of all Fair Value Gap methodologies. Disclaimer This script is provided for educational and research purposes only. It demonstrates one method of identifying and testing Fair Value Gap behavior using Pine Script. The script does not predict future market direction and should be evaluated through independent testing before being incorporated into any trading process.

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của PinegenAI

Donchian Quantile Channel [forexobroker]Donchian Quantile Channel replaces the classic Donchian min/max envelope with robust order-statistics. The upper rail is the 90th-percentile high, the lower rail is the 10th-percentile low, and the middle spine is the 50th-percentile close, all measured over the same lookback. Channel width is then ranked against its own 200-bar history to mark expansion versus compression. Breakouts only fire when the channel is in the expansion half of its own history, which screens out quiet-channel pokes that classic Donchian treats the same as real range breaks. 🔶 ALGORITHM 1. A lookback N (default 50) defines the quantile window. 2. Upper rail = percentile_nearest_rank(high, N, 90); spine = percentile_nearest_rank(close, N, 50); lower rail = percentile_nearest_rank(low, N, 10). Using percentile_nearest_rank ignores single extreme prints that would otherwise pin a min/max envelope. 3. Width = upper - lower, ranked over the width-rank lookback (default 200 bars) using percentrank. 4. The expansion gate compares the current width rank to the Min Width Rank input (default 50). Above the threshold means the channel is wider than half its own history. 5. Crossovers of close against the upper or lower rail are detected with crossover/crossunder. 6. Signals only fire when a rail is broken inside the expansion regime, position state is flat or opposite, cooldown is satisfied and barstate.isconfirmed is true. 🔶 SIGNAL LOGIC - Buy: close crosses above the upper quantile AND width rank is above the minimum AND session filter passes AND not already long AND cooldown bars elapsed AND barstate.isconfirmed. - Sell: close crosses below the lower quantile AND width rank is above the minimum AND session filter passes AND not already short AND cooldown bars elapsed AND barstate.isconfirmed. A single posState flag prevents same-side re-entry until the opposite signal resets it. 🔶 INPUTS - Channel group: quantile lookback N default 50, upper percentile default 90, middle default 50, lower default 10, width-rank lookback default 200. - Signal Logic group: min width rank percent (default 50) for the expansion gate, cooldown bars default 15. - Filters group: session restriction toggle off by default with a 0000-2400 default window. - Visual group: gradient fill, dashboard, 3-layer glow toggles plus full color overrides and dashboard background. 🔶 ALERTS DQC Buy, DQC Sell, DQC Any Signal, DQC Upper Break, DQC Lower Break, DQC Spine Cross Up, DQC Spine Cross Dn, DQC Expansion, DQC Compression, DQC Extreme Width, DQC Extreme Squeeze, DQC Webhook JSON. 🔶 LIMITATIONS - Percentile rails are step-like; on short lookbacks they move only when a window slot rolls off, so the channel can sit flat for several bars even as price moves. - The expansion gate hides breakouts in quiet markets; on instruments that habitually trend on low realised range the filter will skip valid trades. - Cooldown is a fixed bar count; it does not adapt to timeframe shifts. - Percentiles are non-anticipatory but the channel itself only stabilises once N bars of history exist; early history shows wider, less reliable rails. - The instrument target is ES; on illiquid symbols the upper/lower rails can be pinned to the same single print across multiple bars.

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của forexobroker

Dempster-Shafer Evidence Fusion [forexobroker]Dempster-Shafer Evidence Fusion combines six independent child evidences (EMA slope, RSI deviation, ATR-normalized return, signed volume z-score, range-expansion conviction, close-in-range positioning) into a single mass distribution over the hypothesis frame {Long, Short, Hold} using Dempster's rule of combination. Unlike a weighted-average composite where conflicting child signals dilute the score, Dempster-Shafer explicitly tracks epistemic uncertainty as a separate Hold mass and resolves conflict via a conflict denominator, so the combined output is properly normalized and the Hold mass quantifies disagreement among children. The unique angle is principled belief fusion rather than ad hoc voting or averaging. 🔶 ALGORITHM 1. Six child evidences are computed each bar. Each child produces a signed strength in (-1, 1). 2. Strength is mapped to a mass triplet: m(Long) = max(s,0) * |s|, m(Short) = -min(s,0) * |s|, m(Hold) = 1 - |s|. Sums equal one. 3. Children: (1) ATR-normalized EMA slope, tanh-squashed; (2) (RSI - 50)/50; (3) tanh of (close - close )/atr; (4) signed volume z-score, tanh-squashed; (5) range-expansion ratio signed by return direction, tanh-squashed; (6) (close - lowest(low,N))/(highest(high,N) - lowest(low,N)) re-centered to (-1, 1). 4. Pair-wise Dempster fusion: for two evidences (m1, m2), conflict K = m1(L)m2(S) + m1(S)m2(L); m12(L) = (m1(L)m2(L) + m1(L)m2(H) + m1(H)m2(L)) / (1-K). Symmetric for Short. Hold collects m1(H)m2(H)/(1-K). After fusion the triplet is renormalized for floating-point safety. 5. All six evidences are cascaded pair-by-pair to a final triplet (m_L, m_S, m_H). 6. Conviction equals max(m_L, m_S, m_H). The threshold (default 0.55) defines when one hypothesis dominates. 7. A signal fires when the dominant mass exceeds the threshold and standard gates pass. 🔶 SIGNAL LOGIC - Buy: combined m(Long) above the signal threshold AND session filter passes AND position is not already long AND cooldown bars elapsed AND barstate.isconfirmed. - Sell: combined m(Short) above the signal threshold AND session filter passes AND position is not already short AND cooldown bars elapsed AND barstate.isconfirmed. Because m(L) + m(S) + m(H) = 1 by construction, both buy and sell cannot trigger on the same bar; ties resolve as Hold. 🔶 INPUTS - Calculation group: EMA Length (default 21), EMA Lookback (default 5), RSI Length (default 14), ATR Length (default 14), Volume StDev Len (default 20), Range Avg Length (default 20), Position-In-Range Len (default 20). - Signal Logic group: Combined Mass Threshold (default 0.55), cooldown bars (default 15). - Filters group: optional session restriction (default 0000-2400). - Visual group: dashboard toggle, 3-layer glow toggle, long/short/hold colors and dashboard background. 🔶 ALERTS DSE Buy, DSE Sell, DSE Any Signal, DSE Long Cross, DSE Short Cross, DSE Uncertain, DSE High Conviction, DSE Net Long, DSE Net Short, DSE Webhook JSON. 🔶 LIMITATIONS - Dempster's rule is sensitive to high-conflict situations; when child signals disagree strongly the denominator (1-K) becomes small and a near-zero numerator can amplify noise. The script floors the denominator at 1e-10. - Six children all derived from the same OHLCV stream are not strictly independent evidences; the assumption underlying classical Dempster-Shafer is somewhat relaxed here. - The tanh squashing of slope, return, and volume scales is opinionated; instruments with very different volatility profiles may need different child mapping ranges. - A high conviction Hold mass means children disagree; this is information, not a problem to fix, but it does mean stretches of low signal density are expected. - Volume is used as an evidence input; on symbols without exchange volume that child collapses to near-zero strength and the remaining five carry the consensus.

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của forexobroker

Zach's Quantum Harmonic Oscillator The Quantum Harmonic Oscillator script models market momentum by applying the mechanical principles of a physical spring to asset data. Financial assets frequently exhibit mean-reverting behavior, acting as if they are tethered to an average price line. Standard indicators track this distance linearly, which fails to capture the accelerating risk of a snapback as prices stretch further away from the mean. This engine implements Hooke's Law to model market tension accurately: A. The Spring Constant : Simulates market inertia and asset-specific liquidity constraints. B. Exponential Tension : Squaring the normalized displacement ensures that minor price fluctuations generate negligible energy scores, while rapid, extended vertical moves generate exponentially higher potential energy numbers. C. The Snapback Effect : By tracking the accumulation of this energy, the tool identifies the precise structural limits where market momentum exhausts itself, providing a mathematical framework to predict a rapid return to the baseline equilibrium. The engine replaces arbitrary guessing with structured, institutional-grade logic. By applying a nonlinear potential energy model U = 0.5 * k * x**2, it isolates deep structural exhaustion from normal market noise. Built-in volatility scaling, strict US session time-locking, and lookahead-free multi-timeframe filtering ensure that the data remains highly reliable and entirely optimized for real-time execution. Strategy Architecture This strategy is highly functional and mathematically sound due to four distinct engineering choices in the Pine Script code: 1. True Mathematical Mean Reversion (The Taylor Series Principle) In physical sciences, almost any system near a stable equilibrium naturally behaves like a harmonic oscillator because its potential energy can be approximated as a parabola. In trading, standard mean-reversion tools (like Bollinger Bands) only track linear distance from an average. - By squaring the price displacement (Δx)², the script mimics true physical tension. Small deviations generate negligible energy, while large deviations generate exponentially higher energy. This accurately isolates true structural exhaustion from routine market fluctuations. 2. Strict Volatility Normalization Raw price distance is a misleading metric because a $5 move on a quiet day means something completely different than a $5 move during a major news event. - The script divides the price displacement by standard deviation. This normalizes the system, ensuring that your extreme thresholds scale dynamically across different asset classes, market cycles, and high- or low-volatility regimes without requiring manual recalibration. 3. Zero-Lookahead Multi-Timeframe Data - The code strictly specifies barmerge.lookahead_off. This ensures historical simulation data perfectly matches real-time execution, preventing the script from "looking into the future" and rendering back test results completely reliable. 4. The Liquidity Control Filter Executing mean-reversion strategies during illiquid market phases (such as pre-market, after-hours, or major holidays) often leads to massive slippage and false breakouts. - The in_session filter restricts trade entries exclusively to regular US equity trading hours (09:30 AM to 04:00 PM EST). This aligns the strategy with peak daily volume and options market liquidity, filtering out erratic overnight price action. Strategy Report & Results Analysis The "Unit-Based" Testing Framework When reviewing the Strategy Tester report, note that this system evaluates mathematical edge rather than an arbitrary starting balance. The back test is configured to trade exactly 1 fixed unit per signal (default_qty_value=1). - Why standard account balance metrics don't apply: Evaluating a compounding cash balance creates distortion based on when you started the back test. By focusing purely on raw unit extraction, we can analyze the pure statistical edge of the harmonic oscillator without masking performance behind capital allocation size. - How to interpret the data: Look directly at the Win Rate, Profit Factor, and Average Trade Net Profit in points or ticks. These core metrics demonstrate the system's structural advantage across changing market conditions. Performance Summary - High Win-to-Loss Efficiency: By ignoring minor market noise and only firing entries when potential energy reaches absolute mathematical limits, the strategy reduces overtrading and maximizes high-probability entries. - Controlled Drawdown Profile: Because the oscillator standardizes raw price displacement against real-time volatility, it prevents catastrophic entries during extreme, un-normalized parabolic runs. - Overnight Risk Management: While positions are permitted to hold overnight, restricting entry and exit operations strictly to liquid market windows prevents the strategy from suffering heavy slippage or execution gaps during low-volume extended hours.

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của Studio_Zach

ATR Ticks with Multiplier This is a simple label "indicator" that allows you to easily view the current ATR(x) and get a multiplier of the ATR for stop loss and take profit target. This allows you to quickly adjust your brackets based on high or low volatility conditions. For example, if the ATR(5) is 10 points on the NQ, your multiplier stop loss is 1.25, your multiplier for take profit is 2.5 (2R), the ticks show will be 50 for the stop loss and 100 for the take profit.

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của marketsurvivalist

Implied Correlation Term Structure I built this as a macro indicator that may help signal corrections when the spread between 1 month implied correlation and 3 month implied correlation moves between negative and positive levels. I used a rolling percentile rather than absolute levels in the table as implied correlation evolves over time. While not meant to be used on its own, I think it could be useful as part of a macro regime to help determine the mean reverting nature of certain metrics such as implied correlation.

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của m_chromatic

Liquidity Sweeps [Quantum Algo]Liquidity Sweeps is an open-source liquidity sweep indicator that maps resting liquidity at swing highs and swing lows, then flags the exact moment that liquidity is swept and rejected — the classic stop-hunt behaviour traders watch for in Smart Money Concepts (SMC). WHAT IS A LIQUIDITY SWEEP? A liquidity sweep (also called a liquidity grab or stop hunt) happens when price briefly spikes beyond an obvious swing high or swing low — where stop-loss and breakout orders rest — and then closes back inside the prior range. The wick takes the liquidity; the close shows the breakout failed. Liquidity sitting above swing highs is buy-side liquidity (BSL); liquidity sitting below swing lows is sell-side liquidity (SSL). A bearish liquidity sweep occurs when buy-side liquidity above a swing high is swept and price closes back below it. A bullish liquidity sweep occurs when sell-side liquidity below a swing low is swept and price closes back above it. HOW THE INDICATOR WORKS - It detects confirmed swing highs and swing lows using a configurable pivot strength, and draws a liquidity level at each one. Buy-side levels sit above price; sell-side levels sit below. - Each level extends to the right until it is interacted with. - When a candle wicks through a level but closes back inside, the indicator marks a liquidity sweep with a label and an optional highlight on the sweeping wick. - An optional volume filter confirms only sweeps where the sweeping candle trades above its average volume, filtering out low-conviction wicks. - If price instead closes fully through a level, that is treated as a clean break (a plain liquidity grab / breakout), not a sweep, and the level is retired without a signal. WHAT IT SHOWS - Mapped buy-side (BSL) and sell-side (SSL) liquidity levels. - Bullish and bearish liquidity sweep markers, the moment a level is swept and rejected. - Optional wick highlighting on the sweep candle. - A dashboard showing bullish/bearish sweep counts, the last sweep direction, and the nearest un-swept buy-side and sell-side levels with their percentage distance from price. HOW TO USE IT Liquidity sweeps are most useful as a timing and context tool, not a standalone buy/sell system. A common workflow: - Mark the obvious highs and lows where liquidity is likely resting. - Wait for a sweep into one of those pools (a wick through, close back inside), ideally with the volume filter confirming participation. - Look for confirmation in your own process — a market-structure shift, an order block, a fair-value-gap fill, or higher-timeframe trend alignment — before acting. - A bearish sweep above resistance can precede a move down; a bullish sweep below support can precede a move up. Always define risk beyond the swept extreme. SETTINGS - Pivot Strength: how many bars define a swing; higher values keep only major liquidity pools. - Max Levels per Side: how many recent levels to keep mapped. - Volume Confirmation: toggle, average length, and multiplier to qualify a sweep. - Treat Clean Breaks as Grabs: retire levels that are broken through rather than swept. - Line width, style, and transparency for clear level visibility. - Full colour controls and a movable dashboard. ALERTS Three named alert conditions are included: Bullish Liquidity Sweep, Bearish Liquidity Sweep, and Any Liquidity Sweep. DISCLAIMER For educational purposes only. This is a technical analysis tool, not financial advice, and it does not predict price. Trading involves risk and you can lose your capital. No indicator is profitable on its own — always do your own research and use proper risk management.

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của Quantum-Algo

Realized Volatility Regime Indicator [v1]Realised Volatility Regime Indicator The Realised Volatility Regime Indicator is designed to help traders understand the current volatility environment of a market. This is not a buy or sell signal indicator. It is a volatility regime filter that helps traders decide whether the market is in a low, normal, high, or extreme volatility state. The indicator is useful for identifying whether conditions are better suited to breakout preparation, normal trading, momentum continuation, volatility shock management, or post-shock cooling. It can be used across FX, crypto, indices, commodities, futures, and liquid stocks. ━━━━━━━━━━━━━━━━━━━━━━ WHAT THE INDICATOR MEASURES ━━━━━━━━━━━━━━━━━━━━━━ The indicator calculates realized volatility from recent price changes using log returns. It then annualizes that volatility and compares the current reading to its own historical range using percentile ranking. This allows the indicator to classify volatility relative to the asset’s own recent behaviour. For example, EUR/USD and Bitcoin naturally have different volatility profiles. Instead of comparing raw volatility values, this indicator asks: “Is current volatility high or low relative to this market’s own recent history?” That makes the tool more adaptive across different asset classes and timeframes. ━━━━━━━━━━━━━━━━━━━━━━ MAIN COMPONENTS ━━━━━━━━━━━━━━━━━━━━━━ 1. Realised Volatility Realised volatility measures how much the price has actually moved over a selected lookback period. Higher realised volatility means the price has been moving more aggressively. Lower realised volatility means the price has been more compressed. 2. Annualised Realised Volatility The indicator converts per-bar volatility into an annualised volatility value using the Bars Per Year input. Suggested Bars Per Year settings: • Daily FX / indices: 252 • Daily crypto: 365 • 1-hour FX: approximately 6240 • 1-hour crypto: approximately 8760 The annualised volatility value is shown in the dashboard. 3. Volatility Percentile The volatility percentile is the main plotted line. It shows where current realised volatility ranks compared to recent historical volatility. General interpretation: • 0–25%: Low volatility • 25–75%: Normal volatility • 75–90%: High volatility • Above 90%: Extreme volatility The percentile method is more adaptive than using fixed volatility levels. 4. Volatility Direction The indicator also shows whether volatility is: • Expanding • Contracting • Flat This matters because high volatility with expansion is different from high volatility with contraction. For example: • High volatility + expanding = momentum conditions may be active • High volatility + contracting = cooling or exhaustion may be developing • Low volatility + contracting = compression may be building 5. Market State The dashboard classifies the market into one of the following states: • Compression • Expansion • Vol Shock • Cooling • Neutral These states are designed to provide a quick summary of the current volatility environment. ━━━━━━━━━━━━━━━━━━━━━━ VOLATILITY REGIMES ━━━━━━━━━━━━━━━━━━━━━━ Low Vol Low Vol means volatility is compressed relative to recent history. This can suggest: • Quiet market conditions • Narrower price ranges • Lower realized movement • Breakout risk may be building Low volatility does not predict direction. It only tells the trader that the market is compressed. Common use cases: • Prepare for breakout setups • Monitor range boundaries • Avoid forcing trades inside tight ranges • Wait for volatility expansion confirmation Normal Vol Normal Vol means volatility is within its average historical range. This is usually the most balanced environment. Common use cases: • Standard position sizing • Normal stop placement • Trend or range trading depending on price structure • Standard technical confirmation High Vol High Vol means volatility is elevated relative to recent history. This can indicate: • Stronger directional movement • Wider ranges • Higher uncertainty • Greater stop-loss risk • Better momentum conditions Common use cases: • Reduce position size • Use wider stops • Avoid tight entries • Look for continuation if volatility is still expanding • Avoid fading strong moves too early Extreme Vol Extreme Vol means volatility is in the upper range of its recent history. This often appears around: • Central bank decisions • CPI / inflation data • NFP or labour market data • Earnings shocks • Geopolitical events • Crypto liquidation cascades • Flash crashes • Major breakouts or breakdowns Common use cases: • Reduce exposure • Avoid excessive leverage • Avoid chasing large candles • Wait for structure to stabilize • Watch for cooling before considering mean reversion Extreme volatility is not automatically a reversal signal. Markets can remain extreme for longer than expected. ━━━━━━━━━━━━━━━━━━━━━━ MARKET STATE DEFINITIONS ━━━━━━━━━━━━━━━━━━━━━━ Compression Compression occurs when volatility is low and still falling. This may indicate that the market is coiling before a larger move, but it does not predict direction. Use compression to prepare, not to predict. Expansion Expansion occurs when volatility is high and rising. This may support breakout or momentum conditions. In expansion regimes, traders should be careful about fading strong directional moves too early. Vol Shock Vol Shock occurs when volatility is extreme and still rising. This is a high-risk environment. It may reflect: • News repricing • Panic movement • Liquidation pressure • Stop cascades • Forced positioning adjustment • Macro repricing During Vol Shock conditions, risk control is more important than signal chasing. Cooling Cooling occurs when volatility is still elevated but has started to contract. This may suggest the initial shock or momentum burst is slowing. Cooling is not a reversal signal by itself. It simply means volatility pressure is easing. Better reversal confirmation may require: • Failed continuation • Break of short-term structure • Return inside a prior range • Reclaim of a key moving average • Re-entry after an extreme move Neutral Neutral means there is no strong volatility condition. In this state, traders should rely more heavily on price structure, trend, support/resistance, and normal trade rules. ━━━━━━━━━━━━━━━━━━━━━━ HOW TO READ THE INDICATOR ━━━━━━━━━━━━━━━━━━━━━━ The main line is the volatility percentile. Colour guide: • Green = Low Vol • Blue = Normal Vol • Orange = High Vol • Red = Extreme Vol The dashboard shows: • Vol Regime • Annualized Realized Volatility • Volatility Percentile • Vol Direction • Regime Score • Market State Regime Score: • 1 = Low Vol • 2 = Normal Vol • 3 = High Vol • 4 = Extreme Vol ━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE THE INDICATOR ━━━━━━━━━━━━━━━━━━━━━━ Use this indicator as a regime filter. The main purpose is to help decide what type of trading approach is better suited to current market conditions. Suggested interpretation: • Low Vol + Compression: prepare for breakout, but wait for direction • Normal Vol: use standard technical trading rules • High Vol + Expansion: momentum continuation may be more likely • Extreme Vol + Vol Shock: reduce size and avoid chasing • High / Extreme Vol + Cooling: monitor for exhaustion or mean-reversion confirmation The indicator should not be used as a standalone signal. Volatility tells you about the trading environment, not direction. ━━━━━━━━━━━━━━━━━━━━━━ PRACTICAL TRADING WORKFLOW ━━━━━━━━━━━━━━━━━━━━━━ 1. Identify the current volatility regime. Check whether the market is in Low Vol, Normal Vol, High Vol, or Extreme Vol. 2. Check volatility direction. Is volatility expanding, contracting, or flat? 3. Match the strategy to the regime. Low volatility may favour breakout preparation. High volatility may favour momentum continuation. Extreme volatility may require defensive risk management. Cooling may support watching for failed continuation or exhaustion. 4. Adjust risk. As volatility rises, position size should generally fall. High volatility regimes often require wider stops and smaller size. 5. Use price structure for entries. Do not enter trades based only on volatility. Use support/resistance, trend, market structure, liquidity zones, or other confirmation. ━━━━━━━━━━━━━━━━━━━━━━ SUGGESTED SETTINGS ━━━━━━━━━━━━━━━━━━━━━━ FX 1-Hour • Realized Volatility Lookback: 30 to 50 • Bars Per Year: 6240 • Volatility Percentile Lookback: 252 • Smooth Volatility: True • Smoothing Length: 5 Daily FX / Indices • Realized Volatility Lookback: 20 to 30 • Bars Per Year: 252 • Volatility Percentile Lookback: 252 • Smooth Volatility: True • Smoothing Length: 3 to 5 Crypto 1-Hour • Realized Volatility Lookback: 50 • Bars Per Year: 8760 • Volatility Percentile Lookback: 500 • Smooth Volatility: True • Smoothing Length: 5 to 10 Daily Crypto • Realized Volatility Lookback: 20 to 30 • Bars Per Year: 365 • Volatility Percentile Lookback: 365 • Smooth Volatility: True • Smoothing Length: 3 to 5 ━━━━━━━━━━━━━━━━━━━━━━ HOW TO COMBINE WITH EXPECTED MOVE BANDS ━━━━━━━━━━━━━━━━━━━━━━ This indicator pairs well with an expected-move projection indicator. The Realized Volatility Regime Indicator tells you what volatility environment the market is in. Expected Move Bands tell you where price may reasonably move over a selected horizon. Suggested combined framework: • Low Vol / Compression: expected move bands may be narrow; breakout risk may be building • Normal Vol: use 1σ and 2σ expected move levels normally • High Vol / Expansion: momentum continuation may be more likely • Extreme Vol / Shock: reduce size and avoid chasing into extreme levels • High or Extreme Vol Cooling: watch for re-entry, exhaustion, or failed continuation ━━━━━━━━━━━━━━━━━━━━━━ EXAMPLES ━━━━━━━━━━━━━━━━━━━━━━ Example 1: Low Volatility Compression If the dashboard shows: • Vol Regime: Low Vol • Vol Direction: Contracting • Market State: Compression This means the market is quiet and compressed. A trader may prepare breakout alerts above resistance and below support, but should wait for price confirmation. Example 2: High Volatility Expansion If the dashboard shows: • Vol Regime: High Vol • Vol Direction: Expanding • Market State: Expansion This means volatility is rising and momentum conditions may be active. A trader may favour continuation setups, avoid tight stops, and avoid fading strong moves too early. Example 3: Extreme Volatility Shock If the dashboard shows: • Vol Regime: Extreme Vol • Vol Direction: Expanding • Market State: Vol Shock This means the market is in a stress condition. A trader may reduce exposure, avoid over-leverage, and wait for stabilization before entering new trades. Example 4: Extreme Volatility Cooling If the dashboard shows: • Vol Regime: Extreme Vol • Vol Direction: Contracting • Market State: Cooling This means volatility remains elevated, but the shock is starting to fade. A trader may monitor for failed continuation or mean-reversion confirmation, but should not assume an automatic reversal. ━━━━━━━━━━━━━━━━━━━━━━ RISK MANAGEMENT NOTES ━━━━━━━━━━━━━━━━━━━━━━ This indicator is especially useful for risk adjustment. Possible applications: • Reduce size during High Vol and Extreme Vol regimes • Avoid tight stops when volatility is expanding • Avoid over-targeting trades when volatility is compressed • Use wider stops only if position size is reduced • Avoid fading extreme moves without confirmation • Use compression regimes to prepare, not predict • Use cooling regimes to monitor possible exhaustion A practical rule: As volatility rises, position size should generally fall. ━━━━━━━━━━━━━━━━━━━━━━ WHAT THIS INDICATOR IS BEST FOR ━━━━━━━━━━━━━━━━━━━━━━ This indicator is best used for: • Volatility regime detection • Market environment filtering • Risk management • Breakout preparation • Momentum confirmation • Volatility shock detection • Strategy selection • Trade sizing context It is most useful when combined with price action, market structure, support/resistance, trend filters, and macro or event awareness. ━━━━━━━━━━━━━━━━━━━━━━ WHAT THIS INDICATOR IS NOT ━━━━━━━━━━━━━━━━━━━━━━ This indicator is not: • A standalone trading strategy • A buy/sell signal generator • A prediction model • A guarantee of future volatility • A replacement for risk management • A complete trading system Volatility describes the market environment. It does not tell you direction by itself. ━━━━━━━━━━━━━━━━━━━━━━ IMPORTANT LIMITATIONS ━━━━━━━━━━━━━━━━━━━━━━ The indicator uses historical realized volatility. It does not know future volatility. Volatility can change rapidly after: • Economic data releases • Central bank decisions • Earnings reports • Geopolitical events • Liquidity shocks • Crypto liquidation cascades • Market open or close effects The indicator does not include: • Options implied volatility • Order flow • Market depth • Positioning data • Fundamental data • News sentiment • Liquidity conditions Use it as a decision-support tool, not as a standalone trading system. ━━━━━━━━━━━━━━━━━━━━━━ FINAL NOTES ━━━━━━━━━━━━━━━━━━━━━━ The Realized Volatility Regime Indicator helps traders think in terms of volatility, risk, and regime. Instead of asking only whether price is bullish or bearish, this tool helps answer: • Is the market quiet or active? • Is volatility rising or falling? • Is the market compressed or expanding? • Is the current move part of a volatility shock? • Should I use normal size, reduce size, or wait? • Is this environment better for breakout, momentum, range, or defensive trading? The indicator is designed to improve trade context and risk discipline.

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của Novaque_Research

BB Squeeze Breakout BB Squeeze Breakout Precision Breakout is a volatility compression and breakout indicator based on Bollinger Bands, Keltner Channels, momentum filters, volume confirmation, and ATR-based risk levels. The goal of this tool is to help traders read when price is compressing, when volatility starts expanding again, and whether a breakout has enough confirmation to be considered stronger or weaker. This indicator is not a trading system by itself. It is made to support chart reading and should be used together with market structure, support and resistance, liquidity zones, session context, and personal risk management. ──────────────────────────── MAIN IDEA ──────────────────────────── Markets often move through two phases: 1. Compression Price contracts, Bollinger Bands become tighter, and the market prepares for a possible expansion. 2. Expansion Price breaks outside the bands, volatility increases, and a directional move can start. This script tracks those phases with: - Bollinger Bands - Keltner Channels - Squeeze detection - Bollinger Bandwidth - %B position - Candle quality - RSI momentum - Volume expansion - OBV confirmation - MFI confirmation - A/D confirmation - ADX trend strength - MACD confirmation - EMA trend filter - ATR-based SL and TP levels - A dashboard for quick reading ──────────────────────────── HOW THE SIGNALS WORK ──────────────────────────── A bullish breakout appears when price closes above the upper Bollinger Band for the required number of confirmation bars. A bearish breakout appears when price closes below the lower Bollinger Band for the required number of confirmation bars. The script then checks additional conditions such as candle body quality, momentum, volume, OBV slope, MACD behavior, ATR expansion, Bollinger Bandwidth expansion, and post-squeeze context. The final signal depends on the confluence score and the selected filters. A strong signal means that the breakout structure is present and the required confirmations are aligned. A weak signal means that price broke outside the Bollinger Band, but the score or one of the active filters was not strong enough. ──────────────────────────── MINI TUTORIAL FOR BEGINNERS ──────────────────────────── 1. Add the indicator to the chart. 2. Start with the default settings. 3. Look for a squeeze phase, where Bollinger Bands compress inside the Keltner Channel. 4. Wait for a squeeze release or a confirmed breakout outside the Bollinger Bands. 5. Check the dashboard: - Squeeze: shows if compression is active. - Post-SQ: shows if the market recently left a squeeze. - BandWidth: shows if volatility is low or expanding. - %B: shows where price is inside or outside the bands. - SNIPER: shows the current confluence score. - Signal: shows BUY, SELL, WEAK BUY, WEAK SELL, or WAIT. 6. If a signal appears, check if it agrees with the trend, support/resistance, and market structure. 7. Use the ATR-based Entry, SL, TP1, TP2, and TP3 levels as visual planning references. 8. Do not take a signal blindly. Always check the context before making a decision. ──────────────────────────── EXAMPLE CASES ──────────────────────────── Example 1: Bullish post-squeeze breakout Price has been moving sideways, the Bollinger Bands are tight, and the squeeze is active. Then price closes above the upper Bollinger Band with a strong candle, rising volume, improving RSI, and expanding bandwidth. The dashboard shows a bullish score above the minimum threshold. A BUY label can appear, and the ATR risk levels show Entry, SL, TP1, TP2, and TP3. Example 2: Bearish breakdown Price loses support and closes below the lower Bollinger Band. RSI moves below 50, OBV weakens, MACD confirms downside pressure, and the candle closes near the low of its range. If the score and active filters agree, a SELL label can appear. Example 3: Weak breakout Price closes outside the Bollinger Band, but the candle is small, volume is not expanding, or momentum is weak. In this case, the script can show a WEAK signal instead of a confirmed one. This means the structure exists, but confirmation is not strong enough. Example 4: Head fake Price briefly breaks outside a band, then moves back inside the Bollinger structure. The script can mark this as a possible head fake. This helps identify failed breakouts, especially in choppy or low-volume markets. Example 5: Band walk During strong trends, price can continue moving along the upper or lower Bollinger Band. The script marks these band walk conditions to show possible trend continuation behavior. ──────────────────────────── INPUTS EXPLAINED ──────────────────────────── BOLLINGER BANDS BB Length Controls the moving average period used for the Bollinger Band basis. The default value is 20, which is the classic Bollinger setting. BB StdDev Controls the standard deviation multiplier used to build the upper and lower bands. The default value is 2.0, which is the common standard setting. Neon Glow Adds a visual glow effect around the Bollinger Bands. Heat Zone Colors the area between the Bollinger Bands depending on price position inside the band range. ──────────────────────────── KELTNER / SQUEEZE Keltner Length Controls the length used for the Keltner Channel calculation. Keltner Mult Controls the ATR multiplier used to build the Keltner Channel. Show Keltner Shows or hides the Keltner Channel on the chart. Post-Squeeze Window Defines how many bars after a squeeze release are still considered part of the post-squeeze phase. Squeeze Ready Lookback Looks back over a selected number of bars to detect when Bollinger Bandwidth is near a low-compression zone. Show Squeeze Dots Shows dots during squeeze conditions and squeeze release events. ──────────────────────────── BREAKOUT SIGNALS Confirmation Bars Defines how many consecutive closes outside the Bollinger Band are required before confirming a breakout. Show BUY/SELL Labels Shows or hides the main BUY and SELL labels. Show Arrows Shows or hides the arrow markers on the chart. Show Tiny Info Labels Shows or hides smaller labels such as weak signals and head fake warnings. Head Fake Lookback Controls how many bars are checked to detect a failed breakout after price moved outside a band. Band Walk Bars Controls how many bars are required to detect a band walk condition. ──────────────────────────── SNIPER ENGINE Min Confluence Score Sets the minimum score required for a confirmed signal. A higher value gives fewer signals but requires stronger confirmation. Min Body/Range Ratio Defines how large the candle body must be compared to the full candle range. This helps filter weak candles and dojis. Close Must Be In Top/Bot % For bullish candles, the close should be near the top of the range. For bearish candles, the close should be near the bottom of the range. ATR Expansion Factor Checks if current ATR is expanding compared to its average. This helps confirm volatility expansion. Require Momentum Acceleration Uses momentum behavior, mainly RSI acceleration, as part of the confirmation logic. Require Volume Expansion Uses volume expansion as part of the breakout quality reading. Require BB Width Expansion Checks if Bollinger Bandwidth is expanding during the breakout. Anti-Wick Rejection Filter Helps reject breakouts when the previous candle shows a strong wick against the breakout direction. ──────────────────────────── FILTERS Use RSI Filter Activates or disables RSI confirmation. RSI Length Controls the RSI calculation period. Use OBV Filter Activates or disables OBV confirmation. Use Volume Spike Filter Activates or disables volume spike confirmation. Volume MA Length Controls the moving average length used to compare current volume. Volume Min x MA Defines how much current volume must exceed the volume average. Use MFI Filter Activates or disables Money Flow Index confirmation. MFI Length Controls the MFI calculation period. Use A/D Filter Activates or disables Accumulation/Distribution confirmation. Use ADX Filter Activates or disables ADX trend strength confirmation. ADX Length Controls the ADX calculation period. ADX Min Defines the minimum ADX value required when the ADX filter is active. Use MACD Filter Activates or disables MACD confirmation. Use EMA Trend Filter Activates or disables EMA trend confirmation. EMA Fast Controls the fast EMA length. EMA Slow Controls the slow EMA length. ──────────────────────────── RISK MANAGEMENT Show SL / TP Shows or hides Entry, Stop Loss, and Take Profit levels. Show SL/TP Zones Shows or hides the colored risk and target zones. Show SL/TP Labels Shows or hides the Entry, SL, TP1, TP2, and TP3 labels. SL ATR x Controls the ATR multiplier used to calculate the Stop Loss distance. TP1 ATR x Controls the ATR multiplier used to calculate the first Take Profit level. TP2 ATR x Controls the ATR multiplier used to calculate the second Take Profit level. TP3 ATR x Controls the ATR multiplier used to calculate the third Take Profit level. Enable TP3 Shows or hides the third Take Profit level. RM Label Offset Bars Moves the risk management labels slightly to the right of the current price area. The labels and zones update automatically as new candles appear. ──────────────────────────── DASHBOARD Show Dashboard Shows or hides the dashboard panel. Position Moves the dashboard to the selected chart corner. High Contrast Panel Makes the dashboard easier to read with stronger background contrast. ──────────────────────────── VISUAL ELEMENTS ──────────────────────────── The indicator can display: - Bollinger Bands - Bollinger glow effect - Heat zone between bands - Keltner Channels - Squeeze dots - Squeeze release dots - BUY and SELL labels - Weak breakout labels - Head fake labels - Band walk markers - ATR-based Entry, SL, TP1, TP2, TP3 levels - Colored risk and target zones - A dashboard with market state information ──────────────────────────── IMPORTANT NOTES ──────────────────────────── This script is an indicator, not a strategy. It does not place trades. It does not guarantee profitable results. It does not predict the future. Signals can fail in ranging, low-liquidity, high-spread, or news-driven market conditions. Users should test the indicator on their own symbols, timeframes, and trading style before using it in live market decisions. Risk management remains the responsibility of the user.

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của Alpha_Wizard

ORB + Fib Breakout Signals (Strategy)ORB + Fib Breakout Signals (Strategy) An opening-range breakout (ORB) strategy combined with Fibonacci levels and a defined risk model. It marks the session's opening range, goes long on a break above the range high and short below the range low, then manages the trade with an ATR-based stop, an R-multiple target, and an optional breakeven move. How it works - Opening range — builds the high/low of the first 15/30/60 minutes of your chosen session (timezone configurable). - Entry — long on a close (or wick) above the ORB high, short below the ORB low; one signal per direction per day by default. - Fib levels — plots the standard retracements (.236–.786) inside the range plus the 1.272 / 1.618 extensions as reference targets. - Risk model — stop by ATR (default), Fib 0.5, opposite side of the range, or fixed ticks; target as a multiple of risk (default 2R); optional move to breakeven after 1R. - Optional filters — a higher-timeframe EMA trend filter and a scale-out that books half at 1R and lets the remainder run. - Daily guards — max entries per day, daily loss limit, optional daily profit lock, and flat-at-session-close, for prop-style risk rules. Inputs are grouped (Opening Range, Signals, Fibonacci, Trend Filter, Risk Model, Daily Guards) so you can adapt it to any index future or timeframe. Notes - Commission and slippage are included in the defaults — set them in Properties to match your broker before drawing conclusions. - Performance varies with symbol, timeframe, and settings. Test on your own data and forward-test on a simulator before trading it live. - This is an educational tool, not financial advice. Past backtest results do not guarantee future performance.

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của chadsingh

Stock & Market Health Checklist Market Health Checklist A compact, fully-configurable dashboard that reads market and single-stock trend health at a glance. Instead of stacking a dozen moving averages on your chart, it collapses the whole picture into a clean colour-coded table — green for healthy, red for weak, neutral grey for raw readings. It's built around two independent sections: ■ MARKET — calculated from a fixed Signal Ticker (default QQQ) regardless of what chart you're on. This is your top-down regime read: is the broad tape healthy right now? ■ STOCK — calculated from whatever symbol you're currently viewing. Click through your watchlist and every line updates to the stock in front of you. What it tracks MARKET section: Up to 4 MA crossover signals (e.g. 5/10, 10/20) — green when fast > slow Up to 4 MA slope signals — green when the MA is rising Price vs MA checks VIX vs threshold — green below (calm), red above (fear) T2108 / breadth (default symbol MMFI) — red overbought, green washed-out RSI with overbought/oversold colouring STOCK section: Price above 10/20/50/200 MA Slope (up/down) of each of those MAs RSI of the current stock Current daily $ Volume, auto-formatted (e.g. $1.24B / $45.30M) ATR in dollars (default 3× daily ATR) — handy for stop and target sizing Customisation Every moving-average row has its own EMA or SMA selector and its own length Each signal can be toggled on or off independently Pin VIX, T2108 and the STOCK stats to Daily values so they read identically on any chart and any timeframe (recommended) Full appearance control: table position (9 anchors), text size, vertical or horizontal layout, section headers on/off, live values on/off, and individual colours for green / red / neutral / text / headers / border Notes For VIX, use TVC:VIX — it resolves real-time via request.security on most plans, whereas CBOE:VIX requires the paid CBOE Global Indices add-on. Referenced symbols (VIX, T2108) use the latest available daily value, so the dashboard stays consistent whether the market is open or closed. This is a decision-support tool, not a signal generator or financial advice. It summarises conditions you'd otherwise eyeball manually — how you act on them is up to you.

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của irishborninvestor

Corwin-Schultz Spread Bands [forexobroker]Corwin-Schultz Spread Bands estimates the effective bid-ask spread directly from daily high-low data using the Corwin-Schultz (2012) two-bar estimator, then turns the rolling spread into a stress regime and a pair of price bands. The unique angle is using a peer-reviewed microstructure spread formula intended for daily data on any timeframe to flag liquidity stress on the chart and time entries when stress fades into a directional trend. 🔶 ALGORITHM 1. For each pair of adjacent bars compute beta = (ln(H_t / L_t))^2 + (ln(H_{t-1} / L_{t-1}))^2 and gamma = (ln(max(H_t, H_{t-1}) / min(L_t, L_{t-1})))^2. 2. Compute alpha = (sqrt(2 x beta) - sqrt(beta)) / (3 - 2 x sqrt(2)) - sqrt(gamma / (3 - 2 x sqrt(2))). 3. Raw spread = 2 x (exp(alpha) - 1) / (1 + exp(alpha)). Clamp to the range. 4. Smooth with EMA (default 5) to produce a stable percentage spread. 5. Rolling regime stats: 100-bar (default) median and stdev of the smoothed spread; threshold = median + k x stdev (default k = 1.0). 6. In-stress = smoothed spread above threshold. Exiting stress = was above on the prior bar and below now. 7. Trend filter: close versus 20-SMA (default). 8. Visual bands: close +/- (spread / 2) x close x mult. 🔶 SIGNAL LOGIC - Buy: spread regime just exited stress AND close > trend SMA AND session filter passes AND posState was not long AND cooldown elapsed AND barstate.isconfirmed. - Sell: spread regime just exited stress AND close < trend SMA AND session filter passes AND posState was not short AND cooldown elapsed AND barstate.isconfirmed. A flip-prevention posState plus cooldown bars (default 15) avoid stacking signals inside a single regime transition. 🔶 INPUTS - Spread Estimator: smoothing EMA default 5, regime lookback default 100, stdev multiplier default 1.0. - Signal Logic: trend SMA length default 20, cooldown bars default 15. - Filters: optional session window default 0000-2400. - Visual: spread band multiplier default 1.0, glow, fill, bands, stress bgcolor, neon palette, dashboard. 🔶 ALERTS CSS Buy, CSS Sell, CSS Any Signal, CSS Enter Stress, CSS Exit Stress, CSS Spread Rising, CSS Spread Falling, CSS Trend Up, CSS Trend Down, CSS Extreme Spread, CSS Webhook JSON. 🔶 LIMITATIONS - The estimator was designed for daily bars; on very low timeframes the high-low range gets dominated by tick noise and the spread value is noisier than the daily case. - Spread is computed in price-fraction terms; reporting in basis points assumes that interpretation is meaningful for the instrument. - The regime threshold depends on a 100-bar lookback, so on fresh history the threshold is unstable until the buffer is full. - Signals require the regime to flip, so during long sideways regimes with no stress event the indicator can sit idle for many bars. - The 20-SMA trend filter is intentionally simple and will misclassify direction during tight ranges.

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của forexobroker

Copula Tail Dependency [forexobroker]Copula Tail Dependency estimates the empirical lower- and upper-tail dependence between price returns and volume changes using a rank-based copula. Rather than measuring linear correlation (which collapses to a single number and ignores tail behavior), the indicator measures whether extreme co-occurrences are abnormally frequent. The unique angle is that crossovers of the upper- or lower-tail measure above a threshold mark genuine joint-extreme regimes where return-volume co-movement is strong, while ordinary days leave both measures low. 🔶 ALGORITHM 1. Each bar's one-step log return and volume change are computed. 2. Both series are rank-transformed within the last N (default 50) bars; the rank divided by N produces a uniform marginal U for returns and V for volume changes. 3. The empirical lower-tail dependence is lambda_L = count(U <= u AND V <= u) / count(V <= u) for u equal to the tail fraction (default 0.1). 4. The empirical upper-tail dependence is lambda_U = count(U >= 1-u AND V >= 1-u) / count(V >= 1-u). 5. Both quantities live on ; values near 0 indicate independence at the tails, values near 1 indicate strong joint-extreme behavior. 6. A signal threshold (default 0.5) defines the line above which the tail measure is treated as a co-movement regime. 7. Bullish signal: lambda_U crosses above the threshold. Bearish signal: lambda_L crosses above the threshold. 🔶 SIGNAL LOGIC - Buy: lambda_U crosses above the threshold AND session filter passes AND position is not already long AND cooldown bars elapsed AND barstate.isconfirmed. - Sell: lambda_L crosses above the threshold AND session filter passes AND position is not already short AND cooldown bars elapsed AND barstate.isconfirmed. The cross-up trigger filters out sustained-tail regimes that have already been priced in; entries fire only when joint-tail strength is freshly established. 🔶 INPUTS - Calculation group: Window N (default 50), Tail Fraction u (default 0.1), Signal Threshold (default 0.5). - Signal Logic group: cooldown bars (default 15). - Filters group: optional session restriction (default 0000-2400). - Visual group: dashboard toggle, 3-layer glow toggle, upper-tail and lower-tail colors, dashboard background. 🔶 ALERTS CTD Buy, CTD Sell, CTD Any Signal, CTD Upper Tail Up, CTD Lower Tail Up, CTD Upper Tail Dn, CTD Lower Tail Dn, CTD Symmetric Tails, CTD Webhook JSON. 🔶 LIMITATIONS - Volume is required, so on symbols without exchange volume the lower/upper tail estimates degrade to noise. - The rank transform uses a fixed look-back, so the marginal CDF is local rather than global; very long-trend regimes can suppress tail measures. - With N = 50 and u = 0.1, the upper and lower tails each contain only 5 reference points; small sample noise is expected. - The indicator measures co-movement direction, not magnitude; it does not size the move. - A high lambda_U can persist during slow grinding uptrends and then mean-revert, so re-entries from cool to hot are the cleanest signals.

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của forexobroker

RSI T-Bands Overview RSI T-Bands is a trend-following indicator that wraps RSI with upper and lower bands built from standard deviation. Instead of treating RSI as a simple overbought/oversold oscillator, it uses the position of these bands relative to the 50 midline to define a bullish or bearish trend state. Bands expand and contract with RSI volatility, making the indicator adaptive to changing momentum conditions. • Bullish state: begins when the lower RSI band moves above 50. • Bearish state: begins when the upper RSI band moves below 50 How to use Candle coloring reflects the current trend state (green = bullish, red = bearish). The upper and lower RSI bands act as dynamic thresholds around RSI. The dashed 50 midline is the trend decision boundary. Alerts The script includes two alert conditions: RSI T-Bands Bullish: triggers when the trend state flips from bearish to bullish. RSI T-Bands Bearish: triggers when the trend state flips from bullish to bearish.

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của Nick_Joan

UT Bot v2 - ATR Trailing Stop If you're familiar with the original UT Bot: the core logic is the same. This version focuses on cleaner visuals, improved code quality, better customization, built-in alerts, and integrated strategy support, while preserving the underlying ATR trailing stop methodology. UT Bot v2 is a modernized implementation of the original UT Bot, built around the same ATR-based trailing stop logic that made the original popular. The indicator uses an adaptive trailing stop based on the Average True Range (ATR). When price crosses the stop level, the trend state flips and a new trailing stop begins to form in the opposite direction. Rather than changing the algorithm, this release focuses on making it clearer, easier to configure, and more practical for everyday use. Features Classic ATR trailing stop logic Clean and intuitive trend visualization Buy and sell signal markers Configurable ATR period and multiplier Customizable price source Built-in TradingView alerts Integrated strategy for backtesting Lightweight and easy to understand Methodology UT Bot v2 is not a predictive indicator. It does not attempt to forecast future price movements or identify exact market tops and bottoms. Instead, it is a trend-following and risk management tool that dynamically adjusts its trailing stop using market volatility measured by ATR. Like most trend-following systems, it tends to perform best during sustained directional moves and may generate whipsaws during ranging or low-volatility conditions. Philosophy The goal of UT Bot has always been to provide a simple, transparent, and systematic trailing stop framework, rather than a "holy grail" trading system. This version preserves that philosophy while improving readability, customization, visualization, and integration with TradingView alerts and strategy testing.

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của QuantNomad

Gap Fill Tracker Gap Fill Tracker The Gap Fill Tracker is an overlay indicator that automatically detects, tracks, and measures the fill rate of price gaps — defined as the difference between the previous candle's close and the current candle's open. It counts a gap as filled when price reaches the 50% midpoint of the gap range, and provides a live statistics panel including total gaps detected, fill rate percentage, open gaps, and the average time gaps take to fill expressed in human-readable time units adapted to the current chart timeframe. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ WHAT IS A GAP? ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ A gap occurs when a candle opens at a different price than the previous candle's close, leaving an unfilled zone on the chart. Bullish gaps open above the prior close. Bearish gaps open below the prior close. Gaps can occur on any timeframe and any instrument, and they represent price imbalances — zones where no trading occurred, which the market tends to revisit. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FILL CONDITION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ A gap is considered filled when price touches the 50% midpoint of the gap range — not necessarily the full extent. This is a more conservative and statistically accurate measure than requiring a full gap fill, as it captures the point at which the market has revisited the center of the imbalance. The midpoint is marked on the chart as a dashed line through the middle of each open gap zone. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ COMPONENTS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. Gap Zones (boxes) Each detected gap is visualized as a colored rectangle spanning from the gap's lower boundary to its upper boundary, starting at the bar where the gap occurred and extending to the right. Bullish gaps are displayed in teal. Bearish gaps are displayed in pink. Zones disappear silently when the fill condition is met — no confirmation markers are left on the chart, keeping it clean. 2. Midpoint Line (dashed) A dashed horizontal line runs through the center of each open gap zone, marking the exact price level that constitutes a fill. This is the target level the indicator monitors. 3. Gap Labels Small labels mark the bar where each gap was detected, indicating direction (GAP ↑ for bullish, GAP ↓ for bearish). 4. Statistics Table (top right) A compact panel displays four key metrics updated in real time: - Detected: total number of gaps found in the chart's history - Filled: number of gaps that reached the 50% midpoint, with fill rate percentage - Open: number of gaps still unfilled, with open rate percentage - Avg fill time: average time gaps take to reach the 50% midpoint, expressed automatically in minutes, hours, days, or weeks depending on the chart timeframe ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ SETTINGS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Minimum gap (%): The minimum size of a gap expressed as a percentage of the prior close, to filter out micro-gaps caused by spread or rounding. Default is 0.5%. Lower values detect more gaps; higher values focus only on significant gaps. • Max open gaps visible: Controls how many of the most recent unfilled gaps are displayed on the chart. Older open gaps continue to count in the statistics but are hidden visually to keep the chart readable. Default is 10. • Show open zones: Toggle the visual display of open gap zones on or off. Statistics continue to update regardless. • Bull/Bear gap colors: Customize the colors for bullish and bearish gap zones independently. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO INTERPRET IT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ FILL RATE The fill rate shown in the statistics panel tells you what percentage of historical gaps on this instrument and timeframe have been filled. A fill rate above 95% confirms that gap fills are a near-certain statistical event for this market. A lower fill rate suggests that the instrument or timeframe has structural tendencies that prevent consistent gap fills — for example, strongly trending markets on higher timeframes. OPEN GAPS Each visible zone on the chart represents an active price target — a level where the market has a strong statistical tendency to return. The more open gaps accumulated above or below current price, the stronger the magnetic pull toward those levels. MIDPOINT LINE The dashed line through each zone is the exact fill target. Price touching this level — even with a wick — constitutes a fill and removes the zone from the chart. AVERAGE FILL TIME This is the most operationally useful metric. It tells you how long gaps on this instrument and timeframe typically take to fill, expressed in real time units. If the average fill time on a 4-hour chart is 1.1 weeks, that means most gaps are filled within approximately 1 to 2 weeks of forming. This information can be used to time entries — rather than entering immediately after a gap forms, waiting until price approaches the average fill window increases the probability of catching the fill move at the right moment. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE IT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 1. CHECK THE FILL RATE FIRST Load the indicator on your instrument and timeframe of choice. Check the fill rate in the statistics panel. If it is above 95%, gap fills are a reliable statistical edge on that market. If it is significantly lower, adjust the minimum gap size or consider a different timeframe. 2. IDENTIFY OPEN GAPS AS PRICE TARGETS The visible zones on the chart are active price targets. Open gaps above current price are upside targets. Open gaps below current price are downside targets. The midpoint line is the specific price level to watch. 3. USE THE AVERAGE FILL TIME FOR ENTRY TIMING Note the average fill time displayed in the table. After a gap forms, use this as a reference for when to start looking for an entry toward the fill. If the average fill time is 1 week on a daily chart, the highest probability entry window is typically in the days surrounding that average, not immediately after the gap opens. 4. MANAGE THE TRADE The target is the midpoint of the gap. Once price touches the midpoint, the zone disappears automatically. Position sizing, stop placement, and exit management are left to the trader's discretion and should be based on their own risk framework. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NOTES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ • Works on any instrument and any timeframe. Fill rates and average fill times vary by market and timeframe — always verify the statistics panel before trading. • The average fill time automatically adapts to the chart's timeframe: it displays in minutes on intraday charts, hours on hourly charts, days on daily charts, and weeks on weekly charts. • Filled gaps disappear silently without leaving markers on the chart, ensuring a clean visual at all times. • The statistics counter covers the full available chart history, not just the visible bars on screen. • For instruments that trade 24/5 (forex) or 24/7 (crypto), the average fill time reflects calendar time based on bar count times timeframe minutes. For instruments with trading sessions (equities, futures), the actual calendar time will be longer since no bars are generated outside market hours.

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của BullBearSR

Swing Scanner Pro V4 Identifies High-Probability Momentum Setups This chart demonstrates signals generated by Swing Scanner Pro V4. The scanner combines trend structure, RSI momentum, volume expansion, ATR volatility, and proximity to 52-week highs. Market regime filters require QQQ to remain above its 200-day moving average and optionally avoid periods of elevated VIX. Qualified setups include ATR-based stop-loss, profit targets, and risk/reward calculations. The goal is to identify momentum stocks with favorable swing-trading characteristics while reducing exposure during unfavorable market conditions.

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của rtkaiserbill

FRESH Weekly Regime - 4H FRESH Weekly Regime (4H) Higher‑timeframe context in one glance: how much of the week's expected range is already used, and how much is left. What it does It measures the weekly opening range (the week's Initial Balance, captured from the Sunday/Globex open through early Tuesday) and compares it to the weekly ATR: ATR Ratio = weekly range ÷ weekly ATR → a regime read: COMPRESSED → BALANCED → EXPANDED → STRETCHED. Fuel = weekly ATR − weekly range = the points of "average week" still unspent. Walls = the opening‑range high/low projected outward by that Fuel — i.e. where a full average‑volatility week would reach (projected weekly extremes). A VIX state (VOL CRUSH / STABLE / RISING / SHOCK) for the volatility backdrop, and a summary dashboard. Why I built it My intraday read kept missing the bigger frame: a setup looks great until you realize the week has already run most of its average range (little fuel left) — or that it's coiled with room to run. This puts that weekly context on the chart so lower‑timeframe trades are taken with the week's position in mind. How to read it COMPRESSED / low ratio → lots of Fuel, walls sit far away → the week has room to expand; favor continuation/breakout toward the walls. STRETCHED / high ratio → little Fuel, the week has used most of its average range → expect slowing or mean‑reversion; the walls become exhaustion zones rather than targets. Walls act as projected weekly range boundaries — magnets in an expanding week, fade zones in a stretched one (read the context). VIX frames it: high/rising vol widens what "normal" is; a crush tightens it. Notes Designed for the 4‑hour chart (it reads weekly data - 4H is the intended view). Built for ES / index futures (a VIX‑style series is used for the volatility state). Levels reset each week. Context/education tool - not financial advice. by oxkit (kitar.co/fresh)

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FRESH Volatility Regime & Range FRESH Volatility Regime & Range A single dashboard that answers two questions I ask before every session: is the market coiled or stretched right now, and where is price relative to the move the options market expects today? Why I built it Most range tools are static — a fixed ATR band, yesterday's range, a round-number grid. But volatility isn't static. Some sessions open compressed and need to expand; others open already stretched and tend to revert. And a "big" move on a calm day is a normal move on a high-VIX day. I kept switching between three things to read this — opening-range expansion, an ATR sense of "normal," and the VIX-implied expected move — so I combined them into one overlay with a plain-language regime read. It does two things together: Regime classification — it measures the realized Initial Balance (IB) range for three windows (Weekly, Daily, Pre‑NY) and compares each to ATR, bucketing the session as COMPRESSED → BALANCED → EXPANDED → STRETCHED. It also reads a VIX state (VOL CRUSH / STABLE / RISING / SHOCK) and rolls everything into a composite regime (e.g. MULTI‑TF COILED, BALANCED AUCTION, LATE EXPANSION, STRETCHED RISK). Volatility Range — a VIX‑implied expected‑move envelope anchored at the session open: a midline plus bands at ±0.25, ±0.9, and ±1.0× the day's expected move, with the prior session's ±1x shown faintly for reference. Plus Midnight Open and Settlement reference lines, and a summary dashboard. What it plots IB High/Low lines — Daily IB (09:30–10:30), Pre‑NY IB (04:00–09:30), Weekly IB (optional). The boundaries of each opening range; classic support/resistance and breakout levels. Each line is labeled. Volatility Range bands — MID (session open) and ±0.25 / ±0.9 / ±1.0× the VIX‑implied expected move, above and below, each labeled. Midnight Open & Settlement reference lines. Dashboard — Weekly / Daily / Pre‑NY regime, VIX state, Volatility Range state, and the composite regime at a glance. How to read it Compressed / coiled → the market hasn't used its expected range; favor expansion / breakout scenarios. Stretched → it has run hot; favor mean‑reversion / exhaustion. Volatility Range zones: Inside ±0.25 (INNER) — price near fair value; rotational / mean‑reversion bias. Between 0.25 and 1.0× (INSIDE 1x) — a normal day's travel. At / beyond ±1.0× (BEYOND 1x) price has used a full expected move; these edges often act as inflection points (reversal on quiet days, or a continuation shelf on trend days — read the context). IB High/Low — break and hold beyond an IB edge often flips it to support/resistance in the breakout direction; rejection there is a fade. Composite regime (dashboard) is the one‑line summary to frame everything else. How to use it (scenarios) Reversion: price pushes into a lower band / IB low and stalls — look for absorption or your own confirmation for a fade back toward the mid. Breakout: price clears an IB high or the +1x band with conviction; on the retest that level can flip to support for a continuation. Expected‑move context: in a high‑VIX session the ±1x bands sit far apart — give moves room; in a VOL‑CRUSH session they're tight — expect smaller, choppier travel. This is a context / framing tool, not a buy‑sell signal generator. It tells you what kind of day you're likely in so your own setups are taken in the right regime. The VIX setting The bands are sized by the expected move: EM = sessionOpen × (VIX / 100) ÷ √252. That's the "rule of 16" — VIX is annualized implied volatility, and dividing by √252 converts it to a one‑day, one‑standard‑deviation move. At VIX 16 the ±1x band is roughly ±1% from the open; at VIX 32, ~±2%. So the envelope auto‑widens when implied vol is high and tightens when it's low — a volatility‑scaled "fair range for today," not a fixed ATR. VIX at anchor (default) vs Use live VIX: VIX at anchor (default) — the VIX value is sampled once, at the session‑open anchor, and frozen for the whole session. The expected move (and the bands) are computed once and stay put. This is intentional: the day's expected move is what's priced in at the open, like a settlement‑based expectation, and freezing it gives you stable, non‑repainting reference levels and a clean "how much of the expected move is used" ratio. Use live VIX (optional) — recomputes the expected move every bar from the current VIX, so the bands drift intraday as vol changes. More "current," but the levels move around (effectively repaint), which makes them less reliable as fixed targets. I recommend leaving it on anchor for clean levels; turn on live VIX only if you specifically want the envelope to track current volatility through the session. (Note: VIX only updates during cash hours, so if you anchor at the Globex/overnight open, the anchor value is effectively the prior cash‑session VIX; anchoring at the regular‑session open uses a fresh value.) Inputs worth knowing Anchor mode — Globex Open or Pit (RTH) Open for the Volatility Range midline. VIX source — auto (live VIX symbol) or a manual value, plus the anchor/live toggle above. IB sessions — the Daily / Pre‑NY / Weekly windows are configurable. Display — toggle each component (IB lines, Volatility Range, Midnight/Settlement, dashboard, labels) and set the Line Label Size (Tiny → Huge). Notes Designed for the 30‑minute chart. I run it on 30m — the IB windows and snapshot timing are calibrated for it (the Daily‑IB read confirms on the 10:30–11:00 bar close, the RTH‑close read on the 16:00–16:30 bar close). It will draw on other timeframes, but 30m is the intended view. Built for ES / index futures (and instruments where a VIX‑style implied‑vol input makes sense). A VIX (or equivalent) series is required for the Volatility Range. Levels are anchored per session and reset at the session boundary. For education / market context only — not financial advice. Test it on your instrument and timeframe before relying on it. by oxkit (kitar.co/fresh)

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Teknik Analiz Yardimcisi TAY (Teknik Analiz Yardimcisi) Grafik üzerinde çok sayıda indikatörü takip etmek yerine, temel teknik göstergeleri tek bir tablo üzerinde birleştiren bir takip aracıdır. Dashboard İçeriği: EMA (20, 50, 100, 200): Fiyatın trend ortalamalarına göre konumunu gösterir. RSI (14): Fiyatın aşırı alım veya satım bölgelerini takip eder. Bollinger Bantlari: Fiyatın oynaklık bandını belirler. VWAP: Kurumsal maliyete yakın ortalamayı analiz eder. Supertrend: Trend yönünü (Yükseliş/Düşüş) belirler. OBV MACD: Hacim destekli momentumu ölçer. Sinyal Mantigi: Tablo, yukarıdaki 9 indikatörün "AL" ve "SAT" sinyallerini anlık olarak tarar. Alt kısımda yer alan özet bölümü, indikatörler arasındaki "Net Fark" (AL - SAT dengesi) hesabına göre piyasa eğilimini sayısal olarak raporlar. Not: Bu araç tamamen fiyat ve hacim verilerine dayalı teknik hesaplamalar yapar. Herhangi bir alım-satım tavsiyesi içermez; sadece teknik verilerin hızlı takibini sağlayan bir analiz yardımcıdır.

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của LOKMANwxa