8, 21 & 50 EMA, 100 & 200 SMA Able to identify trends with key moving averages to enable you to make better informed trading decisions.
Trend Analizi
Heikin FlowHeikin Flow
by Ben Deharde, 2025
Overview
Heikin Flow is a trend and momentum oscillator built on a smoothed reverse-Heikin-Ashi baseline. It quantifies the distance between price and this baseline, then colors the histogram to reflect both direction and acceleration/deceleration. Use it standalone to read trend energy and shifts, or pair it with Heikin Rider for momentum-aware breakout confirmation.
What It Does
Computes a reverse-HA baseline and optionally smooths it with a selectable MA.
Plots a histogram of distance (price minus baseline) to visualize directional pressure.
Colors the histogram by trend state (above/below baseline) and momentum (accelerating vs. decelerating).
Provides alerts on zero-line crosses to spotlight potential momentum regime changes.
The histogram also helps to spot divergence between price and momentum (e.g., price making new highs while the histogram weakens).
How It Works
Reverse-HA Baseline
Heikin Flow derives a “reverse close” value from Heikin Ashi context (using prior HA open/close with current bar range) to capture underlying pressure. This value is range-bounded to avoid extremes, then optionally smoothed. The resulting line acts as a soft directional baseline.
Smoothing (Noise Control)
Choose SMA/EMA/HMA/VWMA/RMA and a length to control baseline responsiveness. Shorter lengths react faster, longer lengths emphasize trend consistency by filtering noise—useful when pairing with breakout tools like Rider.
Trend & Momentum Logic
Trend: If price is above the baseline, the environment is considered uptrend; below indicates downtrend.
Momentum: The change in distance bar-to-bar distinguishes acceleration (growing distance) from deceleration (shrinking distance).
This dual readout helps you see not just direction, but the quality of that direction—strong push vs. weakening move.
Coloring (Aligned with Heikin Rider Palette)
Deep Blue: Uptrend & accelerating
Light Blue: Uptrend & decelerating
Deep Red: Downtrend & accelerating
Soft Orange: Downtrend & decelerating
This mirrors the palette logic from Heikin Rider for immediate visual consistency across the suite.
How to use
Read the histogram above/below zero (price–baseline) as directional bias; watch color changes for momentum context.
Use zero-line crosses as momentum regime shifts; confirm with price action or Heikin Rider breakout signals.
Watch for divergence between price action and the histogram as an early clue of weakening moves.
Adjust smoothing method/length to fit your market and timeframe—faster for scalping, slower to highlight sustained trends.
Inputs
Smoothing Type & Length for the baseline (SMA/EMA/HMA/VWMA/RMA)
Info Box toggles (display and formatting)
Live Mode option for real-time vs. confirmed-bar behavior (avoids inadvertent lookahead)
Originality
Heikin Flow adapts the HA-driven methodology to an oscillator that focuses on distance-to-baseline and momentum quality, using a reverse-HA construction and flexible MA smoothing—complementing Heikin Rider’s smoothed HA envelope breakout design for a cohesive, momentum-aware workflow.
Alerts
Bullish Heikin Flow Cross — distance crosses above 0 (on bar close)
Bearish Heikin Flow Cross — distance crosses below 0 (on bar close)
ICT Entry Models (Riz)The ICT Entry Models Indicator is a complete framework built to help traders visualize and apply multiple Institutional concepts on a single chart. Instead of relying on one entry technique, this tool combines 14+ ICT entry models and evaluates them under a unified structure. Each model is detected independently but filtered through a multi-factor confluence engine that considers liquidity, higher-timeframe structure, premium/discount zones, and session context. This ensures only high-probability setups are highlighted.
What This Indicator Does
⦁ Detects and plots ICT-based entry models such as: Fair Value Gaps, Order Blocks, Breakers, Liquidity Grabs, Stop Hunts, Asian Range Breakouts, Silver Bullet setups, Power of Three, Judas Swing, Unicorn model, Market Maker models, Previous Day High/Low breaks, and others.
⦁ Automatically validates entries using higher timeframe confirmation and confluence filters.
⦁ Provides risk management tools with structural stop-loss, ATR-based SL, TP1/TP2 targets, and R:R calculations.
⦁ Displays visual trade labels showing direction, strength, and expected risk/reward.
⦁ Includes a performance dashboard that tracks win rates, session stats, and risk outcomes.
How It Works
Each entry model is activated through custom detection logic. The script checks for key conditions like displacement, imbalance, BOS/CHoCH, liquidity sweeps, and premium/discount zones. When multiple models align, the indicator assigns a signal strength rating.
⦁ Weak setups: Highlighted but marked lower confidence.
⦁ Strong setups: Require confluence of liquidity, structure, and time-based filters (e.g., killzones).
⦁ The indicator then calculates a safe stop-loss placement (always on the correct side of price) and take-profit levels based on Goldbach ratios and volatility expansion.
Inputs
⦁ Model Toggles: Enable/disable individual entry models (e.g., FVG only, OB only, or full confluence).
⦁ Confluence Filters: Higher-timeframe structure, premium/discount zones, volatility thresholds.
⦁ Risk Management Settings: ATR multiplier, fixed SL/TP options, R:R target adjustments.
⦁ Dashboard & Visuals: Choose which stats, labels, and levels appear on chart.
How to Use
1. Apply the indicator to any forex, crypto, or index chart.
2. Select your timeframe. For scalping, use 1–5m with HTF confirmation. For day/swing trades, use 15m–1H with HTF overlays.
3. Toggle your preferred entry models (e.g., FVG + Liquidity Sweep) or enable all for confluence.
4. Watch for strong confluence signals: entry marker + calculated SL/TP + dashboard confirmation.
5. Use the signals as decision support not as automated buy/sell triggers.
Notes & Tips
Best used in liquid markets (Majors, Gold, Indices, BTC/ETH).
HTF confirmation greatly improves accuracy e.g., align 1m entries with 15m structure.
Combining time-based models (Silver Bullet, Killzones) with structural models improves precision.
Disclaimer
This tool is for educational and research purposes only. It is not financial advice, nor does it guarantee profitability. All trading involves risk, and users should test thoroughly before applying live.
重振旗鼓-事件合约币安事件合约指标 1.0 版本
作者：75年大叔
建议先使用 5U 小资金 测试并熟悉指标用法。
每单资金不超过 100U，以防止被币安算法点杀。
使用说明：
完整的指标使用方法和介绍，请参考作者在币安空间发布的内容。
优化内容：
增加额外提示与功能优化。
免责声明：
本指标仅作为技术分析参考工具，不构成任何投资建议。使用过程中产生的盈亏由用户自行承担，作者不对任何交易结果负责。
Binance Event Contract Indicator 1.0
Author: Uncle 75
It is recommended to start with 5U small capital to test and get familiar with the indicator.
Each order should not exceed 100U to avoid being targeted by Binance algorithms.
Instructions:
For the complete guide and usage details, please refer to the author’s Binance space.
Optimizations:
Improved win rate
Disclaimer:
This indicator is provided for technical analysis reference only and does not constitute investment advice.
Any profits or losses incurred from its use are solely the responsibility of the user. The author is not liable for any trading outcomes.
FOMTRADE - Combo(RU)FOMTRADE - Combo объединяет SuperTrend AI с автонастройкой, Breakout Probability и Regression Channel. Индикатор показывает смены тренда, вероятности пробоя ближайших high/low и коридор цены (Q1/Q3/High/Low). Модули включаются по клику, есть алерты и мини‑дашборд; подходит от скальпинга до свинга, адаптируется под ТФ. Не является финансовым советом
(EN)FOMTRADE - Combo combines an auto‑tuned SuperTrend AI, a Breakout Probability panel, and a Regression Channel. It highlights trend flips, breakout odds around recent highs/lows, and a clear price corridor (Q1/Q3/High/Low). Toggle modules on/off, use alerts and the mini dashboard—built for scalping to swing and adaptive to your timeframe. Not financial advice
Trendline Breakout Strategy [KedArc Quant] Description
A single, rule-based system that builds two trendlines from confirmed swing pivots and trades their breakouts, with optional retest, trend-regime gates (EMA / HTF EMA), and ATR-based risk. All parts serve one decision flow: structure → breakout → gated entry → managed risk.
What it does (for traders)
Draws Up line (teal) through the last two Higher Lows and Down line (red) through the last two Lower Highs, then extends them forward.
Long when price breaks above red; Short when price breaks below teal.
Optional Retest entry: after a break, wait for a pullback toward the broken line within an ATR-scaled buffer.
Uses ATR stop and R-multiple target so risk is consistent across symbols/timeframes.
Labels HL1/HL2/LH1/LH2 so non-coders can verify which pivots built each line.
Why these components are combined
Pure breakout systems on trendlines suffer from three practical issues:
False breaks in chop → solved by trend-regime gates (EMA / HTF EMA) that only allow trades aligned with the prevailing trend.
Uneven volatility across markets/timeframes → solved by ATR-based stop/target, normalizing distance so R-multiples are comparable.
First break whipsaws near wedge apices → mitigated by the optional retest rule that demands a pullback/hold before entry.
These modules are not separate indicators with their own signals. They are support roles inside one method.
The pivot engine defines structure, the breakout detector defines signal, the regime gates decide if we’re allowed to take that signal, and the ATR module sizes risk.
Together they make the trendline breakout usable, testable, and explainable.
How it works (mechanism; each component explained)
1) Pivot engine (structure, non-repainting)
Swings are confirmed with ta.pivotlow/high(L, R). A pivot only exists after R bars (no look-ahead), so once plotted, the line built from those pivots will not repaint.
2) Trendline builder (geometry)
Teal line updates when two consecutive pivot lows satisfy HL2.price > HL1.price (and HL2 occurs after HL1).
Red line updates when two consecutive pivot highs satisfy LH2.price < LH1.price.
Lines are extended right and their current value is read every bar via line.get_price().
3) Breakout detector (signal)
On every bar, compute:
crossover(close, redLine) ⇒ Long breakout
crossunder(close, tealLine) ⇒ Short breakdown
4) Regime gates (trend filters, not separate signals)
EMA gate: allow longs only if close > EMA(len), shorts only if close < EMA(len).
HTF EMA gate (optional): same rule on a higher timeframe to avoid fighting the larger trend.
These do not create entries; they simply permit or block the breakout signal.
5) Retest module (optional confirmation)
After a breakout, record the line price. A valid retest occurs if price pulls back within an ATR-scaled buffer toward that broken line and then closes back in the breakout direction.
This reduces first-tick fakeouts.
6) Risk module (position exit)
Initial stop = ATR(len) × atrMult from entry.
Target = tpR × (ATR × atrMult) (e.g., 2R).
This keeps results consistent across instruments/timeframes.
Entries & exits
Long entry
Base: close breaks above red and passes EMA/HTF gates.
Retest (if enabled): after the break, price pulls back near the broken red line (within the ATR buffer) and holds; then enter.
Short entry
Mirror logic with teal (break below & gates), optionally with a retest.
Exit
strategy.exit places ATR stop & R-multiple target automatically.
Optional “flip”: close if the opposite base signal triggers.
How to use it (step-by-step)
Timeframe: 1–15m for intraday, 1–4h for swing.
Start defaults: Pivot L/R = 5, EMA len = 200, ATR len = 14, ATR mult = 2, TP = 2R, Retest = ON.
Tune sensitivity:
Faster lines (more trades): set L/R = 3–4.
Fewer counter-trend trades: enable HTF EMA (e.g., 60-min or Daily).
Visual audit: labels HL1/HL2 & LH1/LH2 show which pivots built each line—verify by eye.
Alerts: use Long breakout, Short breakdown, and Retest alerts to automate.
Originality (why it merits publication)
Trades the visualization: many “auto-trendline” tools only draw lines; this one turns them into testable, alertable rules.
Integrated design: each component has a defined role in the same pipeline—no unrelated indicators bolted together.
Transparent & non-repainting: pivot confirmation removes look-ahead; labels let non-coders understand the setup that produced each signal.
Notes & limitations
Lines update only after pivot confirmation; that lag is intentional to avoid repainting.
Breakouts near an apex can whipsaw; prefer Retest and/or HTF gate in choppy regimes.
Backtests are idealized; forward-test and size risk appropriately.
⚠️ Disclaimer
This script is provided for educational purposes only.
Past performance does not guarantee future results.
Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
TB DayProfile (stabil)TB DayProfile Indicator
The TB DayProfile plots intraday price movements relative to the current day’s opening price. Each bar is shifted so that the daily open acts as a fixed zero line, making it easy to see how far the market has moved above or below the open during the session.
The indicator includes:
Relative intraday bars (iOpen, iHigh, iLow, iClose): Displayed as a custom bar chart, showing price action normalized to the day’s open.
Zero line with color signals: Turns green if the number of consecutive bars above the open exceeds a user-defined threshold, or red if below.
ATR reference bands: Daily ATR(5) from the previous day (scaled by 0.25) is plotted as upper and lower bands, helping to gauge typical intraday ranges.
This tool helps traders quickly identify whether the market is trending strongly away from the daily open, or if price is reverting back toward it, independent of the chosen chart timeframe.
Alcotrade Market Engine AK1— ProWhat it is
ALCOTRADE Pro AK Market Engine1 is a volume-driven market-structure and VWAP toolkit designed for crypto (and gold) futures. It blends Daily/Weekly/Monthly VWAP + bands, significant Market Structure (BOS/ChoCH), and a refined Order Block (Super+) model to surface high-quality, rule-based signals. All alerts are bar-close confirmed (no lookahead) and are ready for webhook automation.
Core Logic (Summary)
VWAP Framework (D/W/M):
Daily, Weekly, and Monthly VWAP midlines + symmetric bands (σ). Bands use a fixed stdev window to detect stretch, mean-reversion, and trend-continuation behavior near institutional benchmarks.
Significant Market Structure:
Swing points are built from a configurable swing length. Breaks are only accepted when they are significant:
• Break size ≥ minBreakPct of price
• Swing magnitude ≥ minSwingATR × ATR
• Swing age ≥ minSwingAge bars
This filters noise and enforces “only meaningful BOS/ChoCH” logic.
Order Block (Super+):
After a confirmed BOS, the engine selects the last opposite-color body candle within the lookback and draws its body as an extendable box (stops on first touch). This captures the refined origin of displacement for cleaner mitigation tests.
Volume & Flow Hooks:
Signals can optionally factor in “event” confirmations (e.g., Big Trades / delta/CVD impulses) to gate only the strongest setups.
Risk & Automation:
Designed to plug into risk-reward templates (Master RR) and webhook flows. Alerts include structured payloads for downstream bots.
AK Signals (Bar-Close Confirmed)
All AK signals appear only when core conditions are met and confirmed at bar close (no repaint).
1) AK1 — Baseline Align
A baseline directional cue triggered when price aligns with the active higher-timeframe VWAP context and market structure bias is in agreement.
Trend filter: higher-TF VWAP slope & position
Structure filter: most recent BOS direction
Use case: directional bias + continuation entries on pullbacks
2) AK2 — Momentum Align
A momentum-weighted continuation signal near VWAP bands after a valid impulse.
Requires: AK1 bias + recent displacement (range expansion)
Optional: volume/flow confirmation (e.g., big trade burst)
Use case: trend continuation with stronger momentum quality
3) AK3 — VWAP Mean-Revert
A controlled reversion-to-mean setup when price stretches to outer bands and prints an exhaustion cue while structure is not breaking against the higher-TF bias.
Requires: band touch/overshoot + fade trigger
Guardrails: no fresh opposite BOS; ATR context respected
Use case: tactical fades back toward VWAP midline
4) AKBreak — Significant Break
Triggers on confirmed significant BOS/ChoCH only (per thresholds above).
Long: break above prior significant swing high
Short: break below prior significant swing low
Use case: breakout entries or validation of new bias; also unlocks OB (Super+) mapping
5) AK Reject — VWAP / OB Rejection
A rejection-type entry when price tests and rejects a key level (VWAP midline/band or an OB(Super+) box) in agreement with structure bias.
Confirmation: rejection pattern at level + no opposite BOS
Optional: volume impulse or delta shift on rejection bar
Use case: precise entries at institutional levels with tight invalidation
Inputs (Defaults & Notes)
VWAP & Bands:
enableVWAP = true • sigma ≈ 1.45 • bandLen ≈ 50
Market Structure (15m defaults):
enableStructure = true • swLen = 2 • minBreakPct ≈ 0.10
minSwingATR ≈ 0.60 • minSwingAge ≈ 4
Order Block (Super+):
Enabled by default; boxes extend right and stop on first touch.
Safety:
Bar-close confirmations only; request.security(..., barmerge.gaps_off, barmerge.lookahead_off) to avoid repaint. Sessions OFF for crypto; gold may use London/NY filters.
(Exact defaults may be adjusted per symbol/timeframe. BTC/ETH presets typically use Weekly VWAP anchors for intraday; XAU may prefer Daily/Weekly.)
Alerts & Webhooks
Each signal has a dedicated alert condition. Suggested best practice:
Create alerts on bar close.
Send JSON payloads via webhook to your decision engine (Master RR).
Enforce per-signal cool-downs and trade-once-per-swing rules downstream.
How to Use
Start with AKBreak to establish bias after a real structural change.
Use AK1 / AK2 to follow the trend in alignment with VWAP context.
Use AK Reject at VWAP/OB levels for precision entries with tight SL.
Deploy AK3 selectively on stretched moves when structure allows mean reversion.
Manage risk with Master RR; avoid stacking correlated signals in chop.
Notes & Disclaimer
This is a rule-based decision aid, not financial advice.
No lookahead; signals confirm at bar close and won’t repaint post-close.
Always forward-test and tune parameters per symbol/timeframe and volatility.
Access: Public Invite-Only.
Support: For onboarding and webhook templates, contact the author.
Nexus Pulse [PIPNEXUS]Indicator Description:
The PIPNEXUS Liquidity Indicator is designed to track market liquidity zones with remarkable accuracy, giving traders a clear view of where institutional orders are likely to enter or exit. This tool goes beyond basic support and resistance by mapping the true liquidity levels that drive market moves. With its precision, it helps traders capture high-probability setups and avoid low-quality trades.
Key Features:
Identifies liquidity pools and key market zones
Provides high-accuracy trade opportunities
Filters out false signals and improves timing
Suitable for intraday, swing, and long-term trading
Built to align with institutional market behavior
This indicator delivers powerful and consistent results, making it an essential tool for traders who want to trade with precision and confidence.
Alcotrade Market Engine AK2Alcotrade Market Engine AK2
This indicator is a complete trading engine that merges institutional VWAP levels, market structure, liquidity zones, and custom AK signals. It is designed to help traders align directional bias with high-probability entry confirmations.
Core Components
VWAP Daily / Weekly / Monthly with Bands
Shows institutional fair value zones. Previous VWAP midlines are extended into the next session for stronger reference levels.
Market Structure (BOS & ChoCH)
Detects significant structural breaks and character shifts using strict filters (break %, ATR swing size, minimum age).
Order Block (Super+)
After a BOS, the last opposite candle body is automatically drawn and extended as a liquidity zone, stopping at first touch.
AK Trading Signals
AK1 – VWAP Break
Fires when price breaks any VWAP level (Daily, Weekly, or Monthly).
AK2 – VWAP Daily + Weekly Confluence
Signals when price interacts with both the Daily and Weekly VWAP together, highlighting stronger rejection or breakout zones.
AK3 – VWAP Monthly + Weekly + Daily Alignment
The strongest confluence: requires all three VWAP levels (M/W/D) to align, confirmed by structural events and supported by AKBreak / AKReject logic.
Extra Signal Logic
AKBreak / AKReject on Bands
Triggers when price breaks or rejects VWAP deviation bands, confirming momentum or reversal scenarios.
Why It’s Unique
Unlike generic mashups, this script delivers a structured system:
VWAP defines institutional value,
Market Structure sets the trend bias,
Order Blocks highlight liquidity,
AK1/AK2/AK3 capture multi-timeframe VWAP interactions,
Band Break/Reject adds confirmation.
This multi-layered design ensures fewer false signals and more reliable entries.
How to Use
Track VWAP Daily/Weekly/Monthly for institutional bias.
Confirm structural direction with BOS/ChoCH.
Watch Order Block Super+ zones for liquidity reactions.
Follow AK1/AK2/AK3 depending on VWAP confluence strength.
Use AKBreak / AKReject on bands for extra confirmation.
Combine with personal risk management for consistent trading.
AlgoGram Trend Identifier📊 Algogram Trend Identifier (ATI)
The Algogram Trend Identifier (ATI) is a powerful trend-following oscillator designed to help traders identify market direction, momentum strength, divergences, and consolidation zones across multiple timeframes.
🔑 Key Features:
Multi-Timeframe Presets – Choose from 5m, 15m (default), 30m, 1h, and Daily for optimized settings.
Adaptive ALMA Calculation – Uses ALMA smoothing with dynamic thresholds to detect clean trend shifts.
Trend Highlighting – Visual coloring of oscillator and optional bar coloring for quick market bias recognition.
Customizable Thresholds & Bands – Fine-tune upper/lower thresholds, consolidation zones, and band multipliers.
Consolidation Detection – Highlights when the market is moving sideways with adjustable parameters.
Divergence Detection – Automatically detects bullish & bearish divergences with optional lines and dots.
Dynamic Alerts – Built-in alerts for:
Crossing thresholds
Zero line crosses
Uptrend / Downtrend detection
Bullish / Bearish divergences
RMS consolidation breakouts
🎯 How to Use:
Above Zero Line → Bullish trend bias.
Below Zero Line → Bearish trend bias.
Consolidation Zone → Market may range or prepare for breakout.
Bullish Divergence → Potential reversal to upside.
Bearish Divergence → Potential reversal to downside.
⚡ Best For:
Swing Traders, Scalpers, and Positional Traders
Identifying trend strength, early reversals, and breakout opportunities
Works on stocks, crypto, forex, and indices
Weighted Sector ADD (sign-weighted)What it is
A true, cap-weighted advances/declines (ADD) proxy for the S&P 500 using sector ETFs. Each sector contributes +1 if it’s up on the bar, −1 if it’s down, 0 if flat. Those signals are then weighted by your sector weights (auto-normalized to 100%) and summed into a single breadth line. The result is a fast, low-noise read of how much of the S&P (by sector weight) is advancing vs. declining right now.
- Tracks participation, not price magnitude—perfect for spotting “broad vs. narrow” moves
- Heavily weighted sectors (e.g., Tech) matter proportionally more, reflecting real index impact
- Simple scale: ~−1 to +1 (all weight down → all weight up)
Chart Elements
- Green/Red Columns – “Weighted ADD”: Current bar’s weighted breadth (sign-based by default)
- Blue Line – “Weighted MA”: SMA of the weighted ADD (regime filter)
- Zero/Guide Lines (optional): 0.0, ±0.2 (mild), ±0.6 (strong)
- Labels (optional): Text markers at those guide levels
- Advancing Weight % (optional): Label showing ((ADD+1)/2)*100 → share of total sector weight advancing
How to Read (Quick Guide)
- +0.60 to +1.00 → Broad, one-sided risk-on (most sector weight advancing)
- +0.20 to +0.60 → Moderate, supportive breadth
- −0.20 to +0.20 → Mixed/choppy; rotation
- −0.60 to −1.00 → Broad, one-sided risk-off
- MA above/below zero → Simple regime indicator; zero-crosses could be potential alert triggers
- Divergence: Strong price move with a weak/flat ADD could potentially warn of narrow participation
Inputs & settings
Calculation
- Use returns instead of up/down sign?
OFF (default): true weighted participation (+1/−1/0)
ON: weighted sector returns (winsor-capped). Use if you want magnitude, not just direction
- Winsor cap (returns mode): Caps per-sector contribution in returns mode (e.g., 0.02 = ±2%)
- Smoothing MA length: SMA period for the blue “Weighted MA” line
- Source timeframe: Compute signals on another TF (e.g., “60”) but plot on your chart TF
Visibility
- Show Weighted ADD (bars): Toggle the green/red columns
- Show Weighted ADD MA: Toggle the blue SMA line
- Show Zero Line (0): Toggle the 0.0 reference line
- Show ±0.2 / ±0.6 guide lines: Toggle the helper levels
- Show guide labels: Draw small text labels at 0, ±0.2, ±0.6
- Guide label offset (bars left): Move labels left if they overlap the right edge values
- Show Advancing Weight % label: Toggle the % of sector weight currently advancing
Sector Symbols (ETF proxies)
- XLK, XLY, XLF, XLV, XLC, XLI, XLP, XLE, XLB, XLU, XLRE: Defaults to the SPDR sector ETFs. You can swap for alternative proxies if desired.
Sector Weights (auto-normalize)
- Weight inputs for each sector (e.g., Tech 0.30, Financials 0.13…). These auto-normalize to 1.0 so you can paste rough numbers; the script scales them.
- Keep weights fresh. GICS sector weights drift; update periodically (e.g., quarterly).
Alerts included
- “Weighted ADD crossed above 0”
- “Weighted ADD crossed below 0”
Version
v1.0 – Initial release (weighted sign-based ADD + SMA, zero/guide lines & labels, Adv % label, alerts).
AlphaConsensus Meter - Multi-Timeframe Trend Consensus🎯 AlphaConsensus Meter
The Problem Every Trader Faces:
You're looking at a 1-hour chart showing strong bullish momentum, but is the daily trend aligned? What about the 4-hour? Most traders guess.
The Solution:
This indicator combines trend strength across 4 customizable timeframes into a single consensus score (0-100). When all your chosen timeframes align above 70, you have maximum confidence. When they conflict, you know to be cautious.
🔥 Key Features:
✅ Fully Customizable Timeframes - Choose ANY 4 timeframes that match your trading style
✅ Multi-Component Analysis - Combines ADX strength, EMA alignment, and momentum slope
✅ Professional Table Display - See individual timeframe scores + overall consensus
✅ Clean Chart Interface - No clutter, just actionable intelligence
✅ Smart Alerts - Get notified when consensus enters key zones
✅ Universal Compatibility - Works on all markets: Forex, Crypto, Stocks, Commodities
📊 How It Works:
The indicator calculates trend consensus using three proven components:
ADX (40%) - Pure trend strength measurement
Trend Direction (40%) - Price vs EMA positioning
Momentum (20%) - Rate of trend acceleration
Each timeframe gets scored 0-100, then combined for your overall consensus reading.
🎨 Color-Coded Zones:
🟢 70-100: STRONG CONSENSUS - High-confidence trend continuation zone
🟡 30-70: MIXED SIGNALS - Conflicting timeframes, trade with caution
🔴 0-30: WEAK CONSENSUS - Low conviction, consider range-bound strategies
💡Tips:
Day Traders: Use 1m, 5m, 15m, 1H timeframes
Swing Traders: Use 1H, 4H, 1D, 1W timeframes
Position Traders: Use 4H, 1D, 1W, 1M timeframes
Best Setups: All 4 timeframes showing 70+ consensus (green)
Avoid: Mixed signals with conflicting colors
⚡ Default Setup:
Timeframe 1: Current chart period
Timeframe 2: 60 minutes
Timeframe 3: 240 minutes (4H)
Timeframe 4: Daily
🚀 Why This Indicator Works:
Most traders focus on single timeframes and miss the bigger picture. This tool gives you the multi-timeframe consensus packaged in a clean, easy-to-read format.
📈 Perfect For:
Confirming trend continuation setups
Identifying high-probability entry zones
Avoiding false breakouts with weak consensus
Building multi-timeframe confluence
⚠️ Disclaimer: This is for educational purposes. Past performance doesn't guarantee future results. Always use proper risk management.
ScalpboardProThis comprehensive TradingView indicator, "Multi-ATR Levels & ScalpBoard + HMA," is designed to provide a multi-faceted view of the market on a single chart. It combines trend analysis, dynamic support and resistance levels, and a multi-timeframe dashboard to aid traders in making informed decisions.
Key Features:
Hull Moving Average (HMA):
Plots a 50-period HMA directly on the chart. The HMA is known for its smoothness and reduced lag, offering a clear visual of the current trend direction.
Dual ATR Levels:
Static Levels:
Calculates and displays fixed ATR levels based on the 5-minute timeframe with multipliers of 2.0, 3.0, and 5.0. These serve as quick, intraday support and resistance zones.
Configurable Fibonacci Levels:
A second set of ATR levels using Fibonacci-based multipliers (0.236, 0.382, 0.618, 1.0). The key feature is the ability to select a higher timeframe (e.g., Daily, 4H) for this calculation, making these levels significant for swing trading and identifying major price zones. Only the timeframe is configurable for this feature.
ScalpBoard Dashboard:
An information panel that shows the status of three key indicators (MACD, RSI, HMA) across three different timeframes (5m, 15m, 60m). This allows for a quick assessment of multi-timeframe alignment, which is crucial for confirming trade entries. The dashboard shows:
MACD:
Direction (Up/Down)
RSI:
Value, with special icons (🔥/🧊) for overbought/oversold conditions.
HMA:
Price position relative to the HMA (Long/Short).
How to Use:
Use the HMA to gauge the primary trend. The two sets of ATR levels can be used as targets for take-profit or as potential entry zones on pullbacks. The ScalpBoard helps confirm that the short-term, medium-term, and long-term trends are aligned, increasing the probability of a successful trade.
WinningStocks2020 Weekly Buy sell levelsThis script is a Low Risk Buy Sell indicator for Nifty & Bank Nifty. Stoploss is FRIDAY low Candle. Enjoy the low risk High Reward Trades.
AlphaTrend - Medium Term Trend Probability indicator on TOTALESAlphaTrend – Medium Term Trend Probability Indicator
The MTPI aggregates signals from seven powerful technical indicators to give a high-probability view of market trends. By analyzing multiple trend, momentum, and oscillator indicators simultaneously, MTPI provides a single, unified signal for trading decisions.
Key features:
Aggregated Trend Score: Combines seven indicators to determine bullish or bearish bias. A majority of long signals triggers a bullish view, while a majority of short signals triggers a bearish view.
Dynamic Bar Coloring: Bars are visually colored based on aggregated signals: greenish-blue for bullish, purple for bearish.
Indicator Table: Clear snapshot of which indicators are signaling long, short, or neutral on the current bar.
Customizable Inputs: Adjustable parameters for all underlying indicators, allowing fine-tuning for any trading style.
MTPI is ideal for traders who want to combine multiple technical insights into a single, actionable view without cluttering the chart.
AlphaBTC - Long Term Trend Probability Indicator On Bitcoin📌 AlphaBTC – Long Term Trend Probability Indicator
The AlphaBTC LTPI is a quantitative model that measures the long-term trend probability of Bitcoin by aggregating signals from 9 advanced statistical and trend-following techniques.
Instead of relying on a single indicator, AlphaBTC blends tools like Gaussian smoothing, EMA Z-Score, KAMA oscillator, adaptive moving averages, supertrend percentiles, and volatility-adjusted filters into one combined score.
✅ What it shows:
A single trend probability score that flips LONG or SHORT
Built-in signal strength classification (Weak / Moderate / Strong)
A table breakdown of all 9 underlying models with individual scores
Color-coded bars for instant trend recognition
📊 Use cases:
Identify long-term BTC trend direction with higher statistical confidence
Filter out noise and short-term volatility
Improve swing-trading and position-trading decisions
Generate backtestable, systematic signals (alerts included)
⚡ Why it’s different:
AlphaBTC removes guesswork by combining multiple independent models into one clear framework — giving you a probability-driven trend view of Bitcoin.
AlphaRank - Relative Strength Portfolio StrategyALPHARANK | Relative Strength Portfolio Strategy
RSPS gives you a systematic, rules-based way to always be in the strongest assets while avoiding the weakest.
What it does
RSPS is a multi-asset ranking engine that compares up to 10 assets against each other using pairwise ratios.
Each asset earns a Final Score based on how it performs relative to the rest.
The strategy automatically selects the top 2 winners.
Winners are equal-weighted into a portfolio and compounded over time.
Metrics integration (equity curve, Sharpe, win rate, drawdown, profit factors, and more).
This is designed for traders who want to go beyond single-chart indicators and run a systematic rotation model that stays in the strongest markets.
Key Features
✅ Rank up to 10 custom assets.
✅ Equal-weight allocation + compounding equity curve.
✅ Date range filter for clean backtesting.
✅ Built-in Metrics table & performance curves.
✅ Non-repainting
Example Use
Crypto: Rank BTC, ETH, SOL, XRP, BNB, SUI, HYPE, TRX, LINK, DOGE and rotate into the 2 strongest.
How to Use
Add ALPHARANK to your chart (Invite-Only access).
Enter up to 10 tickers you want to compare.
Decide how many winners to hold.
Run a backtest, review Metrics, and adjust your rotation logic.
Notes & Disclaimer
RSPS is a tool, not financial advice.
Always test different timeframes and assets before trading live.
Performance depends on the assets you input and your timeframe.
Scalping MasterMarket Structure Analysis:
Swing Structure: Detects higher highs (HH), lower highs (LH), higher lows (HL), aur lower lows (LL) ko identify karta hai using pivot points (based on ta.highest aur ta.lowest).
Internal Structure: Chhote timeframes ke liye internal swing points aur break of structure (BOS)/change of character (CHoCH) ko track karta hai.
BOS/CHoCH Detection: Bullish aur bearish structure breaks (BOS) aur trend reversals (CHoCH) ko label karta hai.
Order Blocks (OB):
Internal Order Blocks: Chhote timeframe ke order blocks ko plot karta hai, jo liquidity zones ko represent karte hain.
Swing Order Blocks: Bade timeframe ke order blocks ko show karta hai.
Filtering: ATR ya Cumulative Mean Range ke basis par volatile order blocks ko filter karta hai.
Fair Value Gaps (FVG):
Price gaps (bullish aur bearish) ko detect aur plot karta hai.
Auto-threshold aur timeframe customization ke saath FVGs ko filter karta hai.
FVGs ko extend karne ka option deta hai (visual representation ke liye).
Equal Highs/Lows (EQH/EQL):
Equal highs aur lows ko identify karta hai, jo support/resistance zones ke liye useful hote hain.
Bars confirmation aur sensitivity threshold ke saath customizable hai.
Previous Highs/Lows (MTF):
Daily, weekly, aur monthly high/low levels ko plot karta hai.
Line style (solid, dashed, dotted) aur colors customizable hain.
Premium/Discount Zones:
Market ke premium, equilibrium, aur discount zones ko highlight karta hai, jo price action ke liye key areas hote hain.
Visual Customization:
Color Themes: Colored ya monochrome themes ke options.
Candle Coloring: Trend ke hisaab se candles ko color karta hai.
Labels aur Lines: Swing points, strong/weak highs/lows, aur structure breaks ke liye labels aur lines plot karta hai.
Modes:
Historical Mode: Past data ke saath complete structure dikhata hai.
Present Mode: Sirf recent structure aur signals dikhata hai, clutter reduce karne ke liye.
Alerts:
Bullish/Bearish BOS, CHoCH, order block breaks, aur EQH/EQL ke liye alerts set karne ka option.
Swing Points aur Trailing:
Strong/weak high aur low points ko track karta hai.
Trailing maximum/minimum ko extend karta hai for real-time analysis.
Kya Kya Mila Kar Bana Hai?
Yeh indicator Smart Money Concepts ke core principles par based hai aur in elements ko combine karta hai:
Pivot Point Analysis:
ta.highest aur ta.lowest functions se swing highs/lows detect karta hai.
Internal aur swing structure ke liye alag-alag lengths (e.g., length aur 5 for internal swings).
Price Action Concepts:
Break of Structure (BOS): Jab price pivot high/low ko break karta hai.
Change of Character (CHoCH): Jab trend reverse hota hai.
Confluence filtering ke saath accuracy improve karta hai.
Order Blocks:
Liquidity zones ko identify karne ke liye high/low ranges aur ATR/cumulative mean range ka use.
Bullish aur bearish order blocks ke liye customizable colors.
Fair Value Gaps:
Gaps in price action ko detect karne ke liye OHLC data ka analysis.
Timeframe aur auto-threshold ke saath flexibility.
MTF (Multi-Timeframe) Analysis:
Daily, weekly, monthly high/low levels ke liye ta.valuewhen aur time-based calculations.
Zones Detection:
Premium, equilibrium, aur discount zones ke liye price range calculations.
Visual Tools:
Lines, labels, aur boxes ke saath market structure ko visually represent karta hai (line.new, label.new, box.new).
Extendable lines aur boxes for better visibility.
User Inputs:
Customizable settings jaise timeframe, colors, lengths, aur filters, jo user ko flexibility dete hain.
Technical Components
PineScript Functions: ta.crossover, ta.crossunder, ta.highest, ta.lowest, ta.atr, ta.cum for calculations.
Arrays: Order blocks ke coordinates store karne ke liye (array.new_float, array.new_int, array.new_box).
Drawing Tools: Lines, labels, aur boxes ke saath dynamic plotting.
Conditional Logic: BOS, CHoCH, aur other signals ke liye complex conditions.
Timeframe Support: Multi-timeframe analysis ke liye input.timeframe.
Harmonic Super GuppyHarmonic Super Guppy – Harmonic & Golden Ratio Trend Analysis Framework
Overview
Harmonic Super Guppy is a comprehensive trend analysis and visualization tool that evolves the classic Guppy Multiple Moving Average (GMMA) methodology, pioneered by Daryl Guppy to visualize the interaction between short-term trader behavior and long-term investor trends. into a harmonic and phase-based market framework. By combining harmonic weighting, golden ratio phasing, and multiple moving averages, it provides traders with a deep understanding of market structure, momentum, and trend alignment. Fast and slow line groups visually differentiate short-term trader activity from longer-term investor positioning, while adaptive fills and dynamic coloring clearly illustrate trend coherence, expansion, and contraction in real time.
Traditional GMMA focuses primarily on moving average convergence and divergence. Harmonic Super Guppy extends this concept, integrating frequency-aware harmonic analysis and golden ratio modulation, allowing traders to detect subtle cyclical forces and early trend shifts before conventional moving averages would react. This is particularly valuable for traders seeking to identify early trend continuation setups, preemptive breakout entries, and potential trend exhaustion zones. The indicator provides a multi-dimensional view, making it suitable for scalping, intraday trading, swing setups, and even longer-term position strategies.
The visual structure of Harmonic Super Guppy is intentionally designed to convey trend clarity without oversimplification. Fast lines reflect short-term trader sentiment, slow lines capture longer-term investor alignment, and fills highlight compression or expansion. The adaptive color coding emphasizes trend alignment: strong green for bullish alignment, strong red for bearish, and subtle gray tones for indecision. This allows traders to quickly gauge market conditions while preserving the granularity necessary for sophisticated analysis.
How It Works
Harmonic Super Guppy uses a combination of harmonic averaging, golden ratio phasing, and adaptive weighting to generate its signals.
Harmonic Weighting : Each moving average integrates three layers of harmonics:
Primary harmonic captures the dominant cyclical structure of the market.
Secondary harmonic introduces a complementary frequency for oscillatory nuance.
Tertiary harmonic smooths higher-frequency noise while retaining meaningful trend signals.
Golden Ratio Phase : Phases of each harmonic contribution are adjusted using the golden ratio (default φ = 1.618), ensuring alignment with natural market rhythms. This reduces lag and allows traders to detect trend shifts earlier than conventional moving averages.
Adaptive Trend Detection : Fast SMAs are compared against slow SMAs to identify structural trends:
UpTrend : Fast SMA exceeds slow SMA.
DownTrend : Fast SMA falls below slow SMA.
Frequency Scaling : The wave frequency setting allows traders to modulate responsiveness versus smoothing. Higher frequency emphasizes short-term moves, while lower frequency highlights structural trends. This enables adaptation across asset classes with different volatility characteristics.
Through this combination, Harmonic Super Guppy captures micro and macro market cycles, helping traders distinguish between transient noise and genuine trend development. The multi-harmonic approach amplifies meaningful price action while reducing false signals inherent in standard moving averages.
Interpretation
Harmonic Super Guppy provides a multi-dimensional perspective on market dynamics:
Trend Analysis : Alignment of fast and slow lines reveals trend direction and strength. Expanding harmonics indicate momentum building, while contraction signals weakening conditions or potential reversals.
Momentum & Volatility : Rapid expansion of fast lines versus slow lines reflects short-term bullish or bearish pressure. Compression often precedes breakout scenarios or volatility expansion. Traders can quickly gauge trend vigor and potential turning points.
Market Context : The indicator overlays harmonic and structural insights without dictating entry or exit points. It complements order blocks, liquidity zones, oscillators, and other technical frameworks, providing context for informed decision-making.
Phase Divergence Detection : Subtle divergence between harmonic layers (primary, secondary, tertiary) often signals early exhaustion in trends or hidden strength, offering preemptive insight into potential reversals or sustained continuation.
By observing both structural alignment and harmonic expansion/contraction, traders gain a clear sense of when markets are trending with conviction versus when conditions are consolidating or becoming unpredictable. This allows for proactive trade management, rather than reactive responses to lagging indicators.
Strategy Integration
Harmonic Super Guppy adapts to various trading methodologies with clear, actionable guidance.
Trend Following : Enter positions when fast and slow lines are aligned and harmonics are expanding. The broader the alignment, the stronger the confirmation of trend persistence. For example:
A fast line crossover above slow lines with expanding fills confirms momentum-driven continuation.
Traders can use harmonic amplitude as a filter to reduce entries against prevailing trends.
Breakout Trading : Periods of line compression indicate potential volatility expansion. When fast lines diverge from slow lines after compression, this often precedes breakouts. Traders can combine this visual cue with structural supports/resistances or order flow analysis to improve timing and precision.
Exhaustion and Reversals : Divergences between harmonic components, or contraction of fast lines relative to slow lines, highlight weakening trends. This can indicate liquidity exhaustion, trend fatigue, or corrective phases. For example:
A flattening fast line group above a rising slow line can hint at short-term overextension.
Traders may use these signals to tighten stops, take partial profits, or prepare for contrarian setups.
Multi-Timeframe Analysis : Overlay slow lines from higher timeframes on lower timeframe charts to filter noise and trade in alignment with larger market structures. For example:
A daily bullish alignment combined with a 15-minute breakout pattern increases probability of a successful intraday trade.
Conversely, a higher timeframe divergence can warn against taking counter-trend trades in lower timeframes.
Adaptive Trade Management : Harmonic expansion/contraction can guide dynamic risk management:
Stops may be adjusted according to slow line support/resistance or harmonic contraction zones.
Position sizing can be modulated based on harmonic amplitude and compression levels, optimizing risk-reward without rigid rules.
Technical Implementation Details
Harmonic Super Guppy is powered by a multi-layered harmonic and phase calculation engine:
Harmonic Processing : Primary, secondary, and tertiary harmonics are calculated per period to capture multiple market cycles simultaneously. This reduces noise and amplifies meaningful signals.
Golden Ratio Modulation : Phase adjustments based on φ = 1.618 align harmonic contributions with natural market rhythms, smoothing lag and improving predictive value.
Adaptive Trend Scaling : Fast line expansion reflects short-term momentum; slow lines provide structural trend context. Fills adapt dynamically based on alignment intensity and harmonic amplitude.
Multi-Factor Trend Analysis : Trend strength is determined by alignment of fast and slow lines over multiple bars, expansion/contraction of harmonic amplitudes, divergences between primary, secondary, and tertiary harmonics and phase synchronization with golden ratio cycles.
These computations allow the indicator to be highly responsive yet smooth, providing traders with actionable insights in real time without overloading visual complexity.
Optimal Application Parameters
Asset-Specific Guidance:
Forex Majors : Wave frequency 1.0–2.0, φ = 1.618–1.8
Large-Cap Equities : Wave frequency 0.8–1.5, φ = 1.5–1.618
Cryptocurrency : Wave frequency 1.2–3.0, φ = 1.618–2.0
Index Futures : Wave frequency 0.5–1.5, φ = 1.618
Timeframe Optimization:
Scalping (1–5min) : Emphasize fast lines, higher frequency for micro-move capture.
Day Trading (15min–1hr) : Balance fast/slow interactions for trend confirmation.
Swing Trading (4hr–Daily) : Focus on slow lines for structural guidance, fast lines for entry timing.
Position Trading (Daily–Weekly) : Slow lines dominate; harmonics highlight long-term cycles.
Performance Characteristics
High Effectiveness Conditions:
Clear separation between short-term and long-term trends.
Moderate-to-high volatility environments.
Assets with consistent volume and price rhythm.
Reduced Effectiveness:
Flat or extremely low volatility markets.
Erratic assets with frequent gaps or algorithmic dominance.
Ultra-short timeframes (<1min), where noise dominates.
Integration Guidelines
Signal Confirmation : Confirm alignment of fast and slow lines over multiple bars. Expansion of harmonic amplitude signals trend persistence.
Risk Management : Place stops beyond slow line support/resistance. Adjust sizing based on compression/expansion zones.
Advanced Feature Settings :
Frequency tuning for different volatility environments.
Phase analysis to track divergences across harmonics.
Use fills and amplitude patterns as a guide for dynamic trade management.
Multi-timeframe confirmation to filter noise and align with structural trends.
Disclaimer
Harmonic Super Guppy is a trend analysis and visualization tool, not a guaranteed profit system. Optimal performance requires proper wave frequency, golden ratio phase, and line visibility settings per asset and timeframe. Traders should combine the indicator with other technical frameworks and maintain disciplined risk management practices.
Cointegration IndicationThis indicator is inspired by Nobel Prize–winning research (Engle & Granger, 1987). The core idea is simple but powerful: even if two markets look noisy on their own, their relationship can be surprisingly stable over the long run. When they drift apart, history suggests they often snap back together and that’s exactly where opportunities arise.
What this tool does is bring that theory into practice. It estimates a long-run equilibrium between two assets (Y ~ α + βX), calculates the residual spread (ε), and then evaluates whether that spread behaves in a mean-reverting way. The Z-Score tells you when the spread has moved far from its historical mean. The Error Correction Model (ECM) adds a second layer: it checks whether the spread tends to close again, and how strong that adjustment pressure is. If λ is negative and stable, the relationship is cointegrated and mean-reverting. If not, the pair is unstable — even if the Z-Score looks attractive.
Signals are summarized clearly:
– Strong Setup appears when we see both extreme divergence and a stable, negative λ.
– Weak Setup means only partial confirmation.
– Invalid means the relationship is breaking down.
Why this matters
Cointegration analysis is widely used by institutional desks, especially in pairs trading, statistical arbitrage, and risk management. Classic cases include equity index futures vs ETFs (Alexander, 2001), oil vs energy stocks (Chen & Huang, 2010), or swap spreads in fixed income (Tsay, 2010). In crypto, temporary cointegration has been observed between BTC and ETH in periods of high liquidity (Corbet et al., 2018). With this indicator, you can explore these relationships directly on TradingView, test asset pairs, and see when divergences become statistically significant.
Limitations to keep in mind
– Timeframe choice matters: Daily calculations are usually more stable; weekly or intraday often show unstable signals. To avoid confusion, you can fix the calculation timeframe in the settings.
– Cointegration is not permanent. Structural breaks (earnings, regulation, macro shifts) can destroy old relationships.
– Results are approximate. Rolling regressions, Z-Scores, and ECM estimates are sensitive to the length of the chosen windows.
– This is a research tool — not a ready-made trading system. It should be used as one piece in a broader framework.
References
Alexander, C. (2001). Market models: A guide to financial data analysis. Wiley.
Chen, S. S., & Huang, C. W. (2010). Long-run equilibrium and short-run dynamics in energy stock prices and oil prices. Energy Economics, 32(1), 19–26.
Corbet, S., Meegan, A., Larkin, C., Lucey, B., & Yarovaya, L. (2018). Exploring the dynamic relationships between cryptocurrencies and other financial assets. Economics Letters, 165, 28–34.
Engle, R. F., & Granger, C. W. J. (1987). Co-integration and error correction: Representation, estimation, and testing. Econometrica, 55(2), 251–276.
Tsay, R. S. (2010). Analysis of financial time series (3rd ed.). Wiley.
Greek Blast Dashboard-xbos.inAn advanced real-time options trading signal suite that detects volatility spikes, momentum bursts, and breakout/breakdown opportunities using Delta, Gamma, Vega, and IV metrics. Integrated with ADX & Choppiness filters to eliminate noise and highlight only high-quality setups. Features multiple customizable signal types like Delta Blast, Expiry Gamma Blast, IV Spike, Bullish/Bearish Blasts, and Volume Surges. Fully customizable with emojis, color themes, and layout positions, with direct-on-chart plotting, ATM detection, expiry awareness, and built-in alerts for TradingView. Combined Greek and Universal Blast Dashboard with ADX and CHOP Filter
✅ Features to Highlight
🔔 Signal Types
🚀 Delta Blast – Highlights strong directional momentum near ATM.
⚡ Expiry Gamma Blast – Detects explosive volatility on expiry days.
💥 Daily Gamma Blast – Daily high-volatility events, non-expiry based.
🌪️ IV Spike – Spikes in implied volatility.
🧨 Vega Blast – Detects volatility trading opportunities.
🔊 Volume Blast – Volume surges beyond norms.
🐂 Bullish Blast (OB) – Price + volume + RSI breakout combo.
🐻 Bearish Blast (OS) – Price + volume + RSI breakdown combo.
📊 Dashboard Features
Dynamic color-coded visual feedback for each signal.
Tooltip-based insights on all chart labels.
Multiple layout positions (top-right, bottom-left, etc.).
Real-time status table displaying signal presence.
🧩 Customization Options
Toggle individual signal visibility.
Change emoji label positioning (Above/Below candles).
Adjustable color themes for bullish/bearish visuals.
Emoji selection for each signal (choose from 15+ icons).
📈 Chart Enhancements
Labels auto-stack when multiple signals occur on one bar.
Works across all instruments (index, stock, derivatives).
Automatically detects ATM strike prices.
Signals plotted directly on candles using emojis.
🔧 Advanced Filters
Choppiness Index to filter out noisy environments.
Optional market hours bypass for backtesting.
Built-in ADX filter to reduce signals in trending conditions.
🛠️ Other Technical Features
Anchor timeframe support (e.g., 60m, 1D, 1W).
Integrated India holiday calendar for NSE instruments.
Handles expiry logic for All Index, SENSEX, Crypto and stocks.
IV Crush Signal Dashboard (India Optimized) Xbos.inA specialized options market tool designed to spot sharp post-event implied volatility (IV) drops—commonly seen after earnings or expiry—across NIFTY, BANKNIFTY, and SENSEX. It combines IV, option price, vega, theta, volume, and open interest metrics to produce a confidence score (0–100), classifying signals as IV Crush, Setup, or Neutral. India-optimized with precise expiry detection and IST timing, the dashboard is fully customizable, offering trend bias analysis, visual chart markers, and real-time alerts. Built-in OI analysis and historical signal tracking help traders validate opportunities and adapt strategies effectively.Identifies sharp Implied Volatility (IV) drops post-events (e.g., earnings, option expiries) for NIFTY, BANKNIFTY, and SENSEX, using metrics like IV drop, option price drop, vega, theta, volume spikes, and open interest (OI) changes.
India-Specific Optimization: Supports Indian market conventions with accurate weekly (Thursdays for NIFTY/BANKNIFTY, Tuesdays for SENSEX) and monthly expiry detection, plus IST (UTC+5:30) timezone handling for precise signal timing.
Confidence Score: Calculates a weighted score (0–100) based on IV drop, option price drop, price movement, volume spikes, OI drop, vega, theta, and expiry timing, categorizing signals as IV Crush (≥70), Setup (40–69), or Neutral (<40).
Customizable Dashboard: Displays key metrics (asset, timeframe, signal type, confidence, trend bias, IV drop, option price drop, vega, theta, volume spike, OI drop) with user-toggled columns and compact mode for streamlined viewing.
Trend Bias Analysis: Determines market direction (Bullish, Bearish, Sideways) using EMA, RSI, MACD, ADX, and option price trends to align trades with market context.
Visual Signals: Plots red triangle-up for IV Crush and yellow triangle-down for Setup signals on the chart for quick identification.
Alert Integration: Configurable alerts for IV Crush and Setup signals, including ticker, input price, and confidence score, for real-time trading notifications.
Flexible Inputs: Customizable parameters like strike price (ATM or user-defined), lookback period, risk-free rate, dividend yield, expiry hour, IV mode (Call/Put), and thresholds for IV drop, option price drop, vega, theta, price move, volume spike, and OI drop.
Open Interest Analysis: Detects significant OI drops using real or simulated data, enhancing IV Crush signal reliability.
Signal Tracking: Counts IV Crush and Setup signals for historical context, aiding traders in assessing signal frequency and reliability.
