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Breadth Indicators

Hull Market Structure [BOSWaves]BRAYAN SUPPORT & RESISTANCE Automatic Support and Resistance indicator designed to identify key market levels where price is likely to: - Bounce - Reject - Reverse - Break with strength FEATURES: ✅ Automatic support levels ✅ Automatic resistance levels ✅ Dynamic market structure ✅ Clean and simple design ✅ Optimized for XAUUSD ✅ Works on M1 and M5 COLORS: 🟢 Green = Support 🔴 Red = Resistance BEST USE: - M5 for main structure - M1 for precise entries - Best during New York session Perfect for: - Scalping - Smart Money Concepts - Rejections - Breakouts - Trend confirmations This indicator helps traders identify high probability reaction zones in the market.
Indicator
by brayanp0912
ICT Dealing Range [Malibu]ICT Dealing Range Engine is an open-source market structure and imbalance indicator built to organize multiple ICT-style concepts inside a single live dealing range framework. Instead of plotting Fair Value Gaps, Order Blocks, Breaker Blocks, and equilibrium zones as disconnected elements, this script uses the active dealing range as a structural engine that helps filter, organize, and maintain the most relevant zones around current price. The purpose of this indicator is not to flood the chart with every possible imbalance or block. Its purpose is to build a cleaner, more contextual map of price by combining dealing range logic, equilibrium, liquidity interaction, market structure shifts, Fair Value Gaps, Inverted Fair Value Gaps, Order Blocks, and Breaker Blocks into one coordinated framework. This makes the script especially useful for traders who want to study price delivery inside a living range rather than treat each concept as an isolated label. At the center of the script is a rolling dealing range calculated from a user-defined lookback window. The highest high and lowest low within that window define the active range boundaries, while the midpoint defines the equilibrium level. These values are not drawn as static references. They continuously update with market movement, which allows the range to function as a live structural context rather than a fixed historical box. The range can be visually extended to the right and styled with its own fill and boundary colors so that it remains readable without overwhelming the chart. This range engine is what gives the script its identity. Many indicators can detect FVGs, Order Blocks, or swing-based zones, but they often do so everywhere on the chart without a hierarchy of relevance. In this script, the dealing range can act as a filter, meaning zones can be accepted, preserved, or removed according to whether they belong to the active structural window. That design choice helps reduce clutter and keeps the chart focused on what is currently most relevant from a structural perspective. Instead of treating the range as decoration, the script turns it into the framework that governs how other zones are interpreted. The indicator can display the active dealing range itself, including the range high, range low, and optional equilibrium line. On top of that structural layer, it can detect bullish and bearish Fair Value Gaps, convert broken gaps into Inverted Fair Value Gaps, identify bullish and bearish Order Blocks after liquidity and structure conditions are met, and build bullish and bearish Breaker Blocks from recent swing relationships. Each of these zone categories can be managed independently, which gives the user control over both logic and presentation. The Fair Value Gap engine uses a classic three-candle imbalance relationship. A bullish FVG forms when the older candle’s high is below the current candle’s low, creating a void that suggests upward displacement. A bearish FVG forms when the older candle’s low is above the current candle’s high, creating a downward imbalance. This script does not stop at merely finding such gaps. It can also require the gap to be meaningful relative to ATR, which helps ignore very thin or insignificant imbalances that often clutter lower timeframes. Once a qualifying gap is found, it is projected forward as a live zone so the user can monitor future interaction with it. The Inverted Fair Value Gap logic extends that idea further. If a bullish FVG later breaks to the downside by close, the script can convert it into a bearish IFVG. If a bearish FVG later breaks to the upside by close, it can become a bullish IFVG. This is important because failed imbalances often retain analytical value after polarity changes. Instead of treating a broken gap as useless, the script can reinterpret it as a new directional zone. This creates a more complete picture of how imbalance evolves as price transitions from one state to another. The Order Block logic is intentionally more selective than simple “last opposite candle” approaches. The script first tracks confirmed pivot highs and pivot lows using the chosen pivot length. Those pivots are then monitored for liquidity sweeps. A move above a stored pivot high marks buy-side liquidity taken, while a move below a stored pivot low marks sell-side liquidity taken. These events alone do not create an Order Block. Instead, they establish the context needed for the next confirmation step. After liquidity is taken, the script waits for a close-based Market Structure Shift. This means price must actually close through a relevant structural level in the opposite direction before an Order Block candidate is allowed to form. Once that sequence completes, the script scans backward over a configurable number of bars to find the first qualifying opposite candle and uses that candle’s range as the Order Block. In practical terms, after sell-side liquidity is swept and bullish structure shifts, the script searches for a bearish candle to define a bullish OB. After buy-side liquidity is swept and bearish structure shifts, it searches for a bullish candle to define a bearish OB. This makes the Order Block engine more conditional, more context-aware, and less arbitrary than approaches that mark every local opposite candle before a move. The Breaker Block logic is also structure-driven rather than purely cosmetic. For bearish breakers, the script looks for a high-low-high relationship in which the more recent high exceeds the previous one and price later closes below the intervening low. For bullish breakers, it looks for a low-high-low relationship in which the more recent low undercuts the previous one and price later closes above the intervening high. When those conditions are met, the corresponding region is marked as a Breaker Block. This approach makes breaker creation dependent on actual structural sequencing rather than on a simple visual approximation. To keep the chart readable, the script can also suppress near-duplicate breakers using ATR-based distance checks and remove breaker zones once they exceed a user-defined maximum age. A major strength of the script is that all of these zones can optionally be filtered through the active dealing range. If enabled, only FVGs, IFVGs, OBs, and BBs that belong to the current structural window are retained. This is one of the main reasons the indicator is useful as a full framework rather than as a loose collection of concepts. The range is not merely a backdrop. It acts as a relevance filter that helps keep attention on the most structurally important zones around current price. The script also includes a maintenance layer for zone management. Once zones are created, they can be extended forward for continued monitoring. If price invalidates or mitigates a zone, that zone can either be deleted or faded depending on the user’s preference. This is especially useful for traders who want to preserve historical context without keeping fully active boxes on the chart. Breakers can also expire based on age, and every major category has a cap on how many active regions can remain on screen. These controls are important not only for visual clarity but also for overall chart performance and usability. From a user interface standpoint, the indicator is organized into functional groups so the settings remain easy to understand. The Dealing Range section controls the rolling range window, midpoint visibility, forward extension, and styling for the box and lines. The FVG / IFVG section manages gap detection, range filtering, extension length, and directional colors. The Order Blocks section controls pivot sensitivity, activation, range filtering, extension, scan depth, and color settings. The Breaker Blocks section manages activation, range filtering, extension, age limits, and directional styling. Finally, the Style / Performance section controls label visibility, label color, mitigation fading, faded opacity, and the maximum number of retained zones per category. This layout is intentional. The script is meant to remain usable for both visual traders and more process-oriented users who want to adjust sensitivity and chart density. A lower pivot length will make the structure engine more reactive, while a higher pivot length will usually produce cleaner but slower structural responses. A shorter range lookback will make the dealing range more adaptive, while a larger one will emphasize broader price boundaries. FVG filtering, zone retention, and fading options can all be adjusted depending on how minimal or information-dense the chart should be. A practical workflow is to first identify the active dealing range and its equilibrium. That establishes the structural frame. From there, the user can observe which imbalances and reaction zones are forming inside that range, whether price is operating above or below equilibrium, and whether recent liquidity events are producing valid structure shifts. Bullish or bearish FVGs can then be evaluated in the context of current price location, while Order Blocks and Breaker Blocks can be interpreted as more conditionally derived zones that reflect structural responses rather than raw candle patterns. If price later invalidates an FVG and flips it into an IFVG, that polarity change remains visible and can be studied as part of the evolving delivery process. Key features: • Rolling dealing range with optional equilibrium line • Optional dealing-range filter for FVG, IFVG, OB, and BB zones • ATR-based Fair Value Gap thickness filter • Sweep + close-based Market Structure Shift logic for Order Blocks • Structure-based Breaker Block detection • Inverted Fair Value Gap polarity flips after invalidation • Zone extension, cleanup, fading, and age controls • Per-category retention limits for better chart clarity • Organized input groups for range, FVG/IFVG, OB, BB, and style/performance settings How to use: Use the dealing range to define the current structural window, then use equilibrium as the internal reference point of that range. Monitor which FVGs, OBs, and BBs form inside that context, and pay attention to whether price respects, mitigates, invalidates, or flips those zones. The script is most useful when its zones are read as contextual structural areas rather than as automatic signals. Notes: This indicator is a chart analysis tool, not a promise of outcome. It does not guarantee direction, entries, or performance. Past market behavior does not guarantee future results. Like any structure- or imbalance-based model, it should be used together with confirmation, risk management, and broader market context. This script is published as open-source so users can inspect the logic, study the implementation, and adapt the framework for their own research and education.
Indicator
by malibuuu
2
CAN SLIM Market Direction Monitor (India)How to use it Open PulseWire → load NSE:NIFTY on Daily timeframe. Pine Editor (bottom panel) → paste contents → Save → Add to chart. Cross-check on BSE:SENSEX and your sectoral indices. What it computes Distribution Days — full (≥0.2% down on rising vol) and stalling (0.5x weight). Auto-expires after 25 sessions or on a 5% rally from the DD's intraday low. Follow-Through Day — Day 4–13 of a rally attempt with ≥1.5% gain on rising volume. Phase — Green / Yellow / Red driven by DD count and price-vs-MA structure (the framework's logic, not just one trigger). Weinstein Stage — 1–4 from the 30-week SMA and its slope. Dashboard — phase, DD count, % vs 50/200 DMA, drawdown from 60-day high, MA structure, stage, rally-day counter, and posture text. Alerts — DD, stalling, FTD, and zone transitions. Caveats to keep in mind DD logic requires volume. Some sectoral indices on PulseWire lack volume — the script flags this on-chart. Use NSE:NIFTY as the primary tape. Breadth metrics (% of Nifty 500 above 50/200-DMA) and FII/DII flows aren't in Pine's data — those still need to be brought in manually per the project's output protocol. FTD detection is mechanical; always confirm the rally context (genuine correction preceding it) before treating the signal as actionable.
Indicator
by Bharat_Mishra88
Earnings Metrics TableUsefull table for a quick review of past earnings excluding EPS which I find pointless in my system. All I care about is generated revenue and profits (Net Profit Margin). Additionally I show FCF / Free Cash Flow. Number of past quarters rows is customizable, I keep it small and tight, 3 to four past quarters to support my buy/sell thesis. Thanks Claude as always for the help since I am not a coder. :) Other indicator in this example is "Performance" , usefull for quick past performance review. Be safe. Marty
Indicator
by Marty_Bird92
Hungpixi MACD Enhanced MTF with Signal Filter & Anti-SidewayDescription: This is an enhanced multi-timeframe (MTF) MACD strategy for PulseWire, built with signal filters, anti-sideway logic, and a detailed stats table. It identifies buy/sell opportunities with trend-following or counter-trend signals and provides Bybit-ready JSON alerts for automated trading. Key Features: Multiple signal modes: Buy Trend, Buy Counter, Sell Trend, Sell Counter, Strong Buy, Strong Sell. Toggle each signal type to suit your testing needs. Anti-Sideway Filter: EMA 34 & 89 on 30-min chart plus ATR filter to eliminate sideways market noise. Multi-Timeframe Analysis (MTF): Automatically calculates signals from higher timeframes and combines with current timeframe for more reliable entries. Dynamic ATR Stop Loss: Stop-loss levels adapt to market volatility using ATR. Visual Stats Table: Tracks Equity, Net %, Closed Trades, Win Rate, Profit, and Max Drawdown directly on the chart. Bybit JSON Alerts: Fully formatted alerts for direct use with trading bots or alert systems. Customizable Parameters: - MACD Fast/Slow/Signal lengths - Cross Score, Indicator Direction Score, Histogram Score - ATR Stop Multiplier & Period - EMA Periods, ATR Filter, Minimum ATR for entries How to Use: - Import the script into PulseWire (Pine Script v6). - Enable/disable the signal modes as needed. - Set up JSON alerts to connect with Bybit or your trading bot. - Monitor the stats table to evaluate strategy performance over time. Notes: Works on all PulseWire symbols, especially crypto, forex, and stock markets. Always backtest thoroughly before trading live. Give feedback on adjustments for better performance in different markets or timeframes. Telegram contact: @hungpixi
Strategy
by hungpixi
4
RSI Volume LadderA long-only pyramiding strategy that scales into corrections using RSI oversold conditions confirmed by above-average volume. Each subsequent entry requires a meaningful price drop from the previous fill, with an asymmetric exit structure: Take Profit anchored to the average entry, Stop Loss anchored to the lowest fill. Built for traders who want to systematically dollar-cost into pullbacks within an uptrend, with clearly defined risk per pyramid stack. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ORIGINALITY — WHAT MAKES THIS DIFFERENT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Five specific mechanics that, in this combination, distinguish this script from other averaging-down systems published on PulseWire: - ASYMMETRIC EXIT ANCHORING Take Profit is calculated from the average entry price of the pyramid — so winners run from the averaged-down cost basis. Stop Loss is calculated from the LOWEST entry price among all open positions — so the absolute worst-case loss is bounded by your deepest fill, not your average. This asymmetry is the key to making pyramiding viable: averaging works for you on the upside without inflating downside risk. - PRICE-DROP GATE FOR EACH PYRAMID LEG Every subsequent entry requires both a fresh RSI + volume signal AND a configurable minimum price drop from the previous fill (default 1.5%). This prevents stacking three positions within a tight range during a slow grind down — pyramiding only triggers on meaningful pullbacks, forcing real averaging instead of cosmetic averaging. - ASYMMETRIC COOLDOWN ON EXIT After a Stop Loss, the strategy waits N bars (default 3) before allowing new entries — blocks the "catch the falling knife" pattern where RSI stays oversold for many bars during a cascade. After a Take Profit, cooldown is configurable separately and defaults to 0, because a successful exit signals continued mean-reversion behavior worth participating in. - ENTRY-TIMING SAFETY Exit detection runs at the top of the bar evaluation, BEFORE the entry check. This means a Stop Loss hit on a bar cannot trigger a new entry on the same bar — even if RSI is still deeply oversold and volume is elevated. The cooldown counter is set before the entry logic ever sees the bar, eliminating a subtle but realistic execution problem in pyramiding systems. - VISUAL EXIT CLASSIFICATION When the position closes, the script automatically classifies the exit as TP or SL by measuring distance from actual fill price to each pre-set level, and renders a fuchsia or red cross at the exit price. No look-ahead, no estimation — the classification uses the closed trade's recorded exit price. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ CREDITS & FOUNDATIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This script builds on established methodologies with original Pine v5 implementation of every layer: - RSI — Wilder, 1978 (standard implementation via ta.rsi) - Volume confirmation — classical technical analysis - Pyramiding / scaling-in — standard portfolio management technique (Tharp, Elder) - Dollar-cost averaging principles — long-standing investment methodology ALL CODE in this script was written from scratch. No code has been copied from other public or private scripts. The five mechanics listed under ORIGINALITY above are original combinations and implementations. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW THE STRATEGY WORKS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ENTRY CONDITIONS (all must be true): - RSI below the configurable oversold threshold (default 30) - Volume above SMA × configurable multiplier (default 1.5× of SMA20) - For pyramiding: price must be at least X% below the last fill (default 1.5%) - Cooldown not active from the previous exit - Open positions count below the pyramiding cap (default 3) PYRAMID BUILDING: Up to 3 long positions can be opened. Each new entry independently re-checks all conditions — the RSI + volume signal must reappear, AND the price drop gate must be satisfied. Position size per entry is fixed (default 5% of equity), so a full three-position stack uses approximately 15% of equity. EXIT LOGIC: Both legs run as an OCO (one-cancels-other) bracket: Take Profit = average entry × (1 + tpPercent / 100), default +4% Stop Loss = lowest entry × (1 − slPercent / 100), default −3% All positions close together when either level is hit. The TP/SL levels update on every bar as the pyramid grows — average shifts on each new fill, lowest fill anchors deeper if a new low is hit. COOLDOWN MECHANISM: On exit, the strategy records the bar index and exit type. While bar_index − lastExitBar ≤ requiredCooldown , new entries are blocked. The required cooldown differs by exit type (default 3 bars after SL, 0 bars after TP), reflecting that an SL exit often happens during continuing weakness, while a TP exit signals healthy mean reversion. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ VISUALIZATION ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ENTRY ARROWS — blue triangles below each fill, labeled Long_1 / Long_2 / Long_3 with the order price AVERAGE ENTRY LINE — blue, updates as the pyramid grows (staircase pattern) TAKE PROFIT LINE — fuchsia, updates with the average STOP LOSS LINE — red, anchored to the lowest fill (steps down only if a deeper entry occurs) EXIT CROSS — fuchsia at TP hit, red at SL hit, placed at the actual exit price The line style is plot.style_linebr , which connects within an open position and breaks cleanly between positions — making each pyramid cycle visually self-contained on the chart. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ HOW TO USE IT ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This is a complete entry + exit strategy, but it is NOT a turn-it-on-and-walk-away system. Use it as a framework to test and adapt to your specific instrument: - Load on a liquid asset with mean-reverting behavior in an uptrend. The strategy was developed on crypto majors (BTC, ETH) and major equity indices. Start with the default parameters and run the Strategy Tester on at least 6 months of history. - Pay attention to: • Net Profit and Max Drawdown ratio • Average loss vs. average win • Whether losing streaks cluster during specific market regimes Tune to your instrument's volatility: • Higher-volatility assets (alt-coins, small caps) → increase dropPercent (2-3%), increase slPercent (4-6%) • Lower-volatility assets (BTC, indices) → decrease dropPercent (1-1.5%), tighter slPercent (2-3%) • Higher timeframes (1h, 4h) → wider TP/SL to match bar range - Consider adding an external trend filter for your live use. The strategy will pyramid into any oversold reading regardless of higher-timeframe context. Adding an EMA200 filter (only enter if price > EMA200) materially changes the risk profile on instruments prone to extended downtrends. - Treat the strategy output as a structured framework for your dip-buying process, not as a guaranteed system. Combine with your own market analysis, position sizing, and broader risk management. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ INPUTS WORTH KNOWING ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ RSI Length (default 14) and Oversold threshold (default 30) — standard RSI configuration. Lower threshold = fewer, deeper-oversold entries. Volume SMA length (default 20) and Multiplier (default 1.5×) — volume confirmation strength. Higher multiplier = only enter on standout volume spikes, fewer entries. Min drop between pyramid entries (default 1.5%) — prevents tight clustering. Higher = waits for deeper pullbacks before adding. Max pyramid positions (default 3) — caps the stack. Note: pyramiding=3 is also set in the strategy() header. Take Profit % from average (default 4%) — anchored to running average entry price. Stop Loss % from lowest fill (default 3%) — anchored to the deepest entry, shared across all open positions. Cooldown after SL (default 3 bars) — blocks the falling-knife pattern after a stop-out. Cooldown after TP (default 0 bars) — re-enter immediately after a successful exit. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ REALISTIC EXPECTATIONS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Pyramiding into corrections is a well-known approach with well-known limitations. The strategy works best when: The underlying asset has a structural uptrend Volatility produces regular pullbacks of meaningful depth The market is not in a sustained bear regime What this strategy provides: A disciplined framework for scaling into pullbacks instead of single-shot entries Asymmetric exit anchoring that lets winners run from the averaged cost basis Built-in protection against catching the falling knife via cooldown Transparent visualization of each pyramid leg, exit, and risk level What it does NOT provide: Protection from prolonged bear trends (averaging down into a structural decline is the dominant failure mode of this entire strategy family) A guaranteed profitable system A signal generator for assets that don't mean-revert A replacement for your own market analysis, position sizing, or higher-timeframe context Treat the output as ONE structured input in your trading process. The biggest risk to your account using a pyramiding strategy is mis-applying it to a downtrending asset — always confirm regime alignment before going live. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ TECHNICAL NOTES & DISCLOSURES ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ NO REPAINT . Uses process_orders_on_close=true — all orders execute on confirmed bar close. No request.security() calls, no lookahead_on, no barmerge.lookahead_on. REALISTIC EXECUTION . Default commission 0.05% per trade (typical crypto exchange taker fee). Position sizing in % of equity, not fixed contracts. Initial capital 10,000. DATA USED : only standard Pine inputs — open, high, low, close, volume. Indicators: RSI, SMA of volume. No external feeds, no security() calls, no synthetic data. PERFORMANCE : max_labels_count=500. Pyramiding capped at 3. No unbounded growth of internal objects. ASSETS : developed on crypto majors and tested across 5m, 15m timeframes. Works on equities and forex but parameters were tuned on crypto and may need adjustment for assets with different intraday behavior. EDUCATIONAL AND ANALYTICAL TOOL . Intended for traders who understand pyramiding mechanics and the inherent risk of averaging-down strategies, and who want a structured framework to test on their own instruments. OPEN SOURCE . Read the code, learn from it, fork it. Feedback and bug reports welcome in the comments. Check my profile for other published scripts.
Strategy
by wielkieef
LTA Confirmations: EMA + ADX + VWAP📊 LTA CONFIRMATIONS — WHAT IT SHOWS ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ This is our second indicator (slot 2 of 5) It merges 3 tools into one script: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📉 EMA 9 / EMA 21 ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Two moving averages on the chart → Green fill = EMA 9 above EMA 21 = bullish momentum → Red fill = EMA 9 below EMA 21 = bearish momentum → Labels appear on crossovers → Alerts fire on every EMA cross ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 💧 VWAP (Volume Weighted Avg Price) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Orange line — resets every session → Price above VWAP = intraday bullish → Price below VWAP = intraday bearish → Bands show ±1 standard deviation (fair value zone) → Alerts fire when price crosses VWAP ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 📊 ADX (Trend Strength Filter) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ → Table bottom-right of chart shows: • ADX number (0–100) • ⚠️ Weak / Ranging = ADX below 25 • ✅ Trending = ADX above 25 • 🔥 Very Strong = ADX above 40 • Direction: DI+ vs DI− (bullish or bearish pressure) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ 🔥 CONFLUENCE ALERT (Most Powerful) ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Fires ONLY when ALL THREE line up: → EMA 9 crosses EMA 21 → ADX is above 25 (trending) → DI direction matches the cross = Strongest signal the indicator gives = Only trade when this fires ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ IN SIMPLE TERMS: ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ LTA All-In-One = WHERE to trade (levels + structure) LTA Confirmations = WHETHER to trade (trend + momentum) Use them together — levels first, then confirmations before entry ✅ ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━
Indicator
by InkJunkieuv
1
Institutional Master V17.7.12 - Full ControlThe Institutional Master V17.7.12 Full Control is a sophisticated trading system primarily designed to identify and visualize the activities of major market participants (institutions). Here are the key features of this system: Identification of Smart Money: The indicator analyzes price and volume data to uncover accumulation and distribution phases executed by banks and institutions. Full Control Interface: This version enables granular control over all parameters, allowing users to adjust sensitivity to suit various market conditions and asset classes. Trend Validation: The system acts as a filter to ensure that trades are executed exclusively in alignment with the direction of dominant institutional capital flows. Volume Analysis: A core component involves the evaluation of volume clusters to gauge the sustainability of a trend or the likelihood of a trend reversal. Precision Entries: By combining price action with institutional flow data, the model aims to generate entry points with a high risk-reward ratio. Stability and Reliability: Version V17.7.12 is considered one of the most stable iterations of the system, having been specifically optimized to minimize false signals during periods of high volatility.
Indicator
by karakrypto
Morning VIX Bias PRO v2 (5m tuned)I use this to help me identify tops and bottoms using volatility. try charting this on VIXY, UVXY, VXZ, SVXy and others. It's an interesting concept using vix to help detect when volatility is turning. What It's Measuring This indicator builds a composite volatility bias score by combining three normalized signals: 1. VIX Momentum (vixMom × 1.4) Measures whether implied volatility is rising or falling, normalized against its 30-bar history. Rising VIX = bearish pressure on equities. 2. VX1 Futures Confirmation (vxMom × 1.2) VX1 is the front-month VIX futures contract. When it confirms VIX spot movement, the signal has more conviction. Divergence between VIX and VX1 often signals noise rather than a real vol regime shift. 3. SPX Realized Volatility Expansion (rvNorm × 1.8) The highest-weighted component. Tracks whether actual SPX price movement is accelerating. This grounds the signal in real price action, not just fear gauges. The three are summed into a score, then smoothed with a 5-period EMA to reduce noise. The Normalization Engine Every component uses (value - mean) / stdev over 30 bars — a Z-score. This means: The indicator is self-adjusting to current vol regimes A reading of +1.5 means the same thing whether VIX is at 15 or 45 Prevents high-vol environments from permanently dominating the signal The EXIT VOL Triangle (Orange ▼) This fires when all three conditions align simultaneously: ConditionWhat It MeansvixStretchVIX is >1.6 Z-scores above its 50-bar mean — stretched, exhaustedmomFadeVIX 2-bar change < 6-bar change — momentum deceleratingspxFadeSPX realized vol acceleration is below its own 10-bar average This is essentially a vol exhaustion signal — the fear spike is losing energy. Best Uses Strongest applications: SVXY / UVXY entry timing — The EXIT VOL triangle on a red→green transition is a natural SVXY re-entry signal after a vol spike 0DTE / short-dated options — Morning session on 5m bars tells you whether to sell premium or expect continued expansion SPX directional bias filter — Use as a regime filter: only take long SPX setups when bias is green Hedging decisions — Red columns = keep hedges on; green = reduce hedge cost
Indicator
by novamatic
Decoded Volatility Expansion [Ahtisham]The Decoded Volatility Expansion engine is built on the principle of Market Compression vs. Expansion. Markets spend the majority of their time in a state of "Consolidation Noise." This strategy is designed to ignore that noise and only commit capital when volatility breaks a specific mathematical threshold—effectively "decoding" the moment a range expansion begin CORE MECHANICS The system utilizes a dynamic "Consolidation Box" to map institutional equilibrium before placing strategic stop-entry orders: Volatility Decoding (ATR-Outlier): Unlike standard breakout bots, this engine uses an ATR-based multiplier to identify "Outlier Volatility." It sets entry triggers beyond the normal noise floor. Equilibrium Mid-Line: The strategy identifies the zoneMid (Point of Control) of the recent consolidation. This acts as our "Gravity Point" for stop-loss placement, ensuring we exit if the breakout fails to sustain momentum. Expansion Triggers: The system places passive Stop Orders (Aqua for Long, Orange for Short). These are only filled if the market demonstrates an aggressive expansion state. Asymmetric Risk Management: Uses a customizable Reward-to-Risk (RR) ratio (Default 2.0) to ensure that winning expansions significantly outweigh "Fakeout" losses. 🎨 VISUAL INTELLIGENCE The script features a high-fidelity "Hybrid Visual" interface: The Gray Consolidation Box: A real-time visual representation of the current "Lookback" range being analyzed. Expansion Labels: Clean, bold labels ("EXPANSION BUY/SELL") trigger at the exact moment of the volatility breakout. Static Midline: A bold white axis representing the market's fair-value equilibrium during the consolidation phase. Aqua/Orange Axis: Real-time tracking of the volatility-adjusted trigger levels. 📊 TECHNICAL SPECIFICATIONS Strategy Type: Volatility Breakout / Momentum Expansion. Instruments: Highly optimized for XAU/USD (Gold), BTC/USD, and high-beta Equities. Timeframe: 15m (Scalp/Intraday) or 1H (Swing). Execution: Orders utilize process_orders_on_close=true for realistic backtesting and to eliminate "repainting" illusions. 🛠️ HOW TO USE Identify the Box: Observe the gray consolidation zone. This is where the engine is "Decoding" the current volatility. Monitor the Triggers: Watch the Aqua (Upper) and Orange (Lower) lines. The closer price gets to these lines, the closer the system is to an "Armed" expansion state. Risk Calibration: Adjust the Outlier Multiplier (default 1.5). Increase it for highly volatile news events to avoid "whipsaws," or decrease it for tighter, low-volatility sessions. Target Setting: Set your Target Profit based on your specific asset's average daily range (ADR). 📜 VERSION HISTORY V1.0 (Current): Initial release of the Decoded Expansion Engine with V6 syntax and hybrid visual labels. ⚖️ DISCLAIMER This is a quantitative strategy for educational and research purposes. Trading high-volatility assets like Gold or Crypto involves significant risk. Always utilize proper position sizing and risk management. Author: AHTISHAM_EE Version: PineScript v6
Strategy
by AHTISHAM_EE
Crypto Market Breadth Risk Planner [AGPro Series]Crypto Market Breadth Risk Planner 🧠 Core Idea Is the crypto market showing broad risk-on participation, weakening rotation, or a risk-off breadth environment? 📌 Overview / What it does Crypto Market Breadth Risk Planner is a chart-first market breadth tool built to evaluate whether a selected crypto basket is participating broadly or weakening internally. Instead of reading only the active chart symbol, the script reviews a configurable basket of major crypto pairs. It measures how many symbols are trading above their trend baseline, how many have positive momentum, how many have rising trend structure, and how much volatility stress is present across the basket. The script produces a 0-100 Breadth Risk Score, a colored breadth risk corridor on the active chart, event labels, right-side tags, alerts, and a compact AG Pro panel. It does not predict price direction, automate execution, or claim that breadth alone is enough to trade. 🎯 Purpose & Design Philosophy This script was built because single-chart analysis can look strong while the broader crypto market is quietly weakening, or look weak while breadth is beginning to rotate back into strength. The purpose is to help traders read market participation before treating an individual setup as clean. Strong setups usually have a better context when the broader basket is aligned, while weaker breadth can warn that a chart may be more exposed to false follow-through. The design supports traders who want broader market context without opening ten charts manually. It turns cross-market participation into a simple decision-support layer that can be read directly on the current chart. ⚡ Why This Script Is Different Most crypto tools focus on the active symbol, a single benchmark, a simple correlation reading, or a raw relative-strength line. This script does NOT act as a benchmark correlation meter, a relative-strength rotation map, a volume spike detector, or a generic trend dashboard. Instead, it evaluates breadth across a user-defined crypto basket and converts that participation into a risk-readiness framework. The goal is not to say which coin to buy or sell. The goal is to show whether the broader crypto environment is supportive, mixed, stressed, or risk-off. ⚙️ Methodology 1. Context Detection The script requests data from a configurable crypto basket and evaluates each symbol on the selected breadth timeframe. 2. Reference Mapping Each symbol is compared against its own trend baseline, momentum reading, trend slope, and ATR-based volatility stress condition. 3. Reaction Evaluation The script combines trend participation, momentum participation, slope confirmation, and volatility stress into a single Breadth Risk Score. 4. Visual Output The final output includes a colored breadth risk corridor, centered corridor text, event labels, right-side tags, optional bar coloring, alerts, and an AG Pro panel. 🗺️ How to Read the Chart Zones: The breadth risk corridor is a visual context zone around price. Its color reflects the current breadth regime rather than a direct support or resistance level. Labels: Labels mark important breadth state transitions such as Risk-On, Rotation Watch, Risk-Off, Stress Review, and Cooling. Colors: Teal represents broad constructive participation. Pink represents risk-off breadth or weak participation. Gold represents stress or caution. Indigo represents improving rotation or transitional breadth. Panel: The panel summarizes breadth participation, Breadth Risk Score, momentum, stress, regime, and action state. 🚦 Signals & States • Risk-On Ready → Broad participation and momentum are strong enough to support risk-on review. • Rotation Watch → Breadth is improving, but not yet strong enough for full risk-on classification. • Stress Review → Volatility stress is elevated while breadth quality remains weak. • Risk-Off → Basket participation is weak or deteriorating. • Cooling → Stress is easing while breadth quality begins to improve. • Wait Breadth → No strong breadth regime is currently active. 🔔 Alerts Logic Alerts can trigger when the basket shifts into Risk-On, Rotation Watch, Risk-Off, Stress Review, or Cooling. Alerts are attention markers only. They highlight changes in the breadth model. They are not trade instructions, automated entries, or guaranteed market calls. 🧩 Confluence Logic The context becomes stronger when multiple breadth layers align together. For example, a high Breadth Risk Score with many symbols above their trend baselines, positive momentum participation, rising trend slopes, and low stress suggests a cleaner risk-on environment than a rally led by only one or two symbols. Likewise, weak participation combined with elevated stress can warn that individual bullish setups may need stricter review. 📊 When to Use • Crypto market context review • BTC, ETH, altcoin, and sector-style crypto watchlists • 1H, 4H, and 1D market participation analysis • Before treating individual setups as risk-on • When the trader wants to know whether the broader crypto basket supports the active chart ⚠️ When NOT to Use • Markets where selected symbols have unreliable data • Very small or illiquid crypto pairs with distorted candles • Situations where the basket does not match the user's trading universe • Low-timeframe scalping where external-symbol breadth may be too slow • News-driven events where correlation and breadth can change abruptly 🎛️ Key Inputs • Crypto Basket Symbols → define the assets used in the breadth model • Breadth Timeframe → controls whether the basket is evaluated on chart timeframe, 1H, 4H, or 1D • Trend Baseline Length → controls the EMA reference used for participation • Momentum Length → controls the ROC window used for positive or negative participation • ATR Stress Threshold → controls when basket volatility begins to count as stress • Minimum Risk-On Score → controls how selective the risk-on state should be • Visual Settings → control corridor, labels, right-side tags, panel location, theme, and font size 🖥️ Interface & Visual Design The interface is designed to make broad crypto participation readable without turning the chart into a large dashboard. The corridor gives a fast visual state directly on the chart. The panel provides the structured readout. Labels mark only important transitions, while cooldown and memory controls keep historical events from overwhelming the chart. The visual intent is premium, clean, and publication-friendly. 🧪 Practical Usage Workflow 1. Read the panel to identify the current breadth regime. 2. Check the Breadth Risk Score and participation percentage. 3. Review whether momentum and stress support or conflict with the active chart setup. 4. Use the corridor color as a market-context layer, not as a direct entry zone. 5. Combine breadth context with price structure, volatility, liquidity, and personal risk rules. 🔍 Interpretation Guidelines A strong score means the selected crypto basket is broadly aligned according to the script's rules. A Rotation Watch state means breadth is improving, but the market has not fully confirmed broad risk-on participation. A Stress Review state means volatility pressure is elevated while breadth remains weak or mixed. A Risk-Off state means the selected basket is not supporting broad participation under the current settings. 🚫 What This Script Is NOT This script is not a prediction engine. This script is not financial advice. This script is not an automated trading system. This script does not place orders. This script does not guarantee market direction, continuation, reversal, or profitability. ⚠️ Limitations & Transparency This script depends on the selected symbols, selected timeframe, and PulseWire data availability. Different baskets can produce different breadth readings. A BTC-heavy basket may behave differently from an altcoin-heavy basket. External symbol data may also load differently depending on market, exchange, and PulseWire availability. The script should be interpreted as market context, not as a standalone execution model. 🧠 Market Context Notes Crypto often moves through participation waves. Sometimes BTC leads while altcoins lag. Sometimes the whole market rotates together. Sometimes volatility rises while breadth deteriorates, creating a more fragile environment. This script is designed to make that internal participation easier to observe directly from the active chart. 🧾 Use Case Examples Example 1: BTC is breaking higher, but the panel shows weak breadth and high stress. The trader may decide that the move needs extra confirmation before treating it as broad risk-on. Example 2: ETH is consolidating, but the basket shifts into Rotation Watch with improving momentum. The trader can monitor whether the active chart begins to align with the broader rotation. Example 3: The basket prints Risk-Off while an individual altcoin setup looks technically clean. The script warns that the broader market backdrop is not supportive under the current model. 🧱 System Philosophy AGPro Series tools are built as decision-support frameworks, not signal vending machines. This script follows that philosophy by turning broad market participation into a structured context layer: define the basket, score the breadth, map the state, and show the next action clearly. 🔐 Non-Promise Statement This script does not promise certainty. It does not promise that a risk-on breadth state will produce gains, or that a risk-off state will produce losses. It only organizes participation context so the user can evaluate the broader market with more clarity. 📉 Risk Disclosure Trading involves risk. Market conditions can change quickly, and breadth models can fail or become less useful during sudden volatility, exchange-specific moves, or news-driven repricing. Users remain responsible for their own decisions, execution, and risk management. This script is for educational and analytical purposes only. It does not provide financial advice. 📚 Educational Note Use this tool to study how crypto breadth changes before, during, and after major market moves. Its strongest value comes from comparing the active chart with the broader basket context rather than reading any single label in isolation.
Indicator
by AGProLabs
Mansfield RS+ - Relative Strength with Price ConfirmationCombines the Mansfield Relative Strength calculation (credit: stageanalysis) with a price action confirmation overlay (credit: bharatTrader) into a single indicator. Calculation The RS line measures daily stock price divided by weekly SPX close, normalized against a 52-week SMA of that ratio. Values above zero indicate outperformance vs. the S&P 500. Values below zero indicate underperformance. Inputs Symbol: benchmark index (default SP:SPX) MA Length: lookback period for the zero line SMA (default 52) Price Confirmation Period: SMA length for bubble logic (default 50) RS Trend Range: lookback for zero line momentum color (default 5) Show Bubbles: toggle price confirmation overlay Show Background Colors: toggle Mansfield-style background Reading the indicator The zero line changes color based on RS momentum direction — green when RS is accelerating, red when decelerating. Bubbles appear when price and its 50 SMA agree on direction. Green bubbles indicate price above a rising SMA. Red bubbles indicate price below a falling SMA. RS above zero with green bubbles: RS and price both confirm, strongest long signal. RS above zero with red bubbles: RS positive but price weakening, use as a caution signal. RS below zero with green bubbles: price leading RS, early watch but not yet actionable. RS below zero with red bubbles: both confirm weakness, avoid. Alerts included RS crossed above/below zero RS trend turned bullish/bearish Credits: Mansfield RS formula: Price confirmation bubble logic: bharatTrader
Indicator
by vinthomas
1
Raschke 3/10 Oscillator + ADXThe histogram uses four shades — bright teal when bull momentum is building, faded teal when it's fading, bright red when bear momentum is building, faded red when it's fading. This alone tells you the story at a glance. The fast line (3-10 EMA) changes color based on four states: solid teal = above signal AND positive (strongest bull), faded teal = above signal but still negative (recovering), faded red = below signal but still positive (weakening), solid red = below signal AND negative (strongest bear). The ADX background does the heavy lifting — green tint fills the pane when ADX ≥ 25 (trending, trust the crosses), red tint when ADX ≤ 20 (choppy, fade extremes instead). The info table in the top-right corner shows live ADX value, DI+/DI−, and current state label. The four signal shapes plotted: ShapeMeaning▲ solid tealBull cross — fast crossed above signal▼ solid redBear cross — fast crossed below signal● small tealBull hook — continuation without recrossing● small redBear hook — continuation without recrossing✕ orangeBearish divergence warning✕ blueBullish divergence warning Linda Raschke's rule baked in: The high-conviction alert fires only when a cross happens AND ADX is already in trending territory — that's the confirmation she requires before trusting a directional entry. All 9 alert conditions are pre-wired and ready to activate from the PulseWire Alerts menu. the 3/10 oscillator, four-shade histogram, ADX background zones, the info table, all signal shapes, and all 10 alert condition
Indicator
by richierichtwo
Breadth S&P100 / Nasdaq100Breadth S&P100 / Nasdaq100 The indicator calculates the ratio between the two widths (S1F1/N1F1) The dotted line at 1.00 is the equilibrium level Above 1.00 = Stronger S&P 100 (Risk in the S&P) Below 1.00 = Stronger Nasdaq 100 The indicator is simply the ratio S1FI ÷ NDFI, where: S1FI = % of S&P 100 stocks above the 50-day moving average (MA50) NDFI = % of Nasdaq 100 stocks above the MA50 Interpretation: Above 1.00 → market moving towards value (S&P stronger) Below 1.00 → market moving towards technology (Nasdaq stronger)
Indicator
by renanfogaca
Real-time market data and financial news In-depth global business and economic analysis Live stock quotes and portfolio tools
Link Terkait
Live stock quotes and portfolio tools
Comprehensive trading education and market insights