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Range Breakout Session Strategy Range Breakout Session Strategy | Smart Session Box + Visual Risk Management This strategy is designed to trade breakouts from a predefined session range with automatic execution logic and full visual risk management. The script builds a trading range during a selected time window (example: 07:30–08:00), then waits for the session to finish before analyzing breakout conditions. Once price closes outside the range: ✅ Break above → Buy signal ✅ Break below → Sell signal The entry is executed at the close of the breakout candle. Features 🔹 Custom session range (fully configurable) 🔹 Time zone selection 🔹 Automatic breakout detection 🔹 Entry only after session closes 🔹 Configurable Stop Loss (ticks) 🔹 Configurable Take Profit (ticks) 🔹 Visual SL and TP zones directly on chart 🔹 Session range displayed as a dynamic box 🔹 Day filter (choose which weekdays are active) 🔹 Built-in strategy backtesting Strategy Logic Define the operational session. The indicator builds the High/Low range. After the session ends, price is monitored. First confirmed breakout triggers an entry. Risk management is automatically applied. Best Use Cases • Opening Range Breakout (ORB) • Index Futures • Forex Sessions • Gold (XAUUSD) • NASDAQ / US30 • Intraday momentum trading Recommended Timeframes 1 Minute 3 Minutes 5 Minutes 15 Minutes This tool is intended to provide a structured and visual approach to breakout trading, combining clear execution rules with transparent risk management.
Strategy
by presbiterga
Time Intervals (Bars)Bar Cycle Vertical Lines This indicator provides a simple but powerful way to segment price action into consistent, repeatable intervals based on a user-defined number of bars. Each vertical line marks the start of a new cycle, allowing traders to visually break the chart into uniform “market rhythm blocks.” Unlike time-based segmentation, this approach is fully bar-driven, meaning each cycle represents an equal amount of market interaction regardless of time or session conditions. How It Works • The user selects a fixed number of bars per cycle • A vertical line is drawn every N bars • These lines divide price action into equal structural segments This creates a clean visual framework for analyzing repeating behavior in price. How It Can Be Used This tool is especially useful for evaluating market frequency in a practical, visual way: • Identify how often structure shifts occur within fixed interaction intervals • Compare expansion and compression behavior across equal bar cycles • Study how trends evolve relative to consistent “market beats” • Align other tools (such as oscillators or wave models) to cycle boundaries • Evaluate whether price is accelerating or decelerating across repeating segments By observing how price behaves between each cycle line, traders can begin to recognize repeating structural rhythm — or the absence of it. Key Concept: Frequency Visualization While the indicator is extremely simple, it becomes powerful when viewed through the lens of frequency: • Tight clustering of movement between lines = high-frequency / choppy environment • Strong directional movement across multiple cycles = low-frequency trending behavior • Irregular behavior between cycles = unstable or transitional regimes This makes it a lightweight but effective way to visually assess how “fast” or “slow” the market is behaving in structural terms. Why It’s Useful The strength of this indicator lies in its simplicity: • No complex calculations • No lagging signals • No assumptions about price direction Just clean, repeatable segmentation of market activity. Despite its simplicity, it becomes a powerful analytical foundation when combined with other tools such as cycle waves, efficiency models, or structure-based systems. Summary This indicator turns price into a series of equal behavioral intervals, allowing traders to study frequency, rhythm, and structural consistency in a clean and intuitive way. It is intentionally minimal — designed not to predict, but to reveal how the market behaves over repeated cycles.
Indicator
by The_Forex_Steward
FrequencyAdaptive Sine Wave Projection This indicator projects a mathematically smooth sine wave directly onto price using configurable cycle length, amplitude, phase shift, and centerline logic. The goal is not to predict price, but to provide a visual representation of market rhythm, cyclical flow, and directional cadence. The wave oscillates around a selectable centerline such as EMA, SMA, VWAP, or raw price, allowing traders to visualize expansion, contraction, and cyclical progression relative to trend structure. Features • Configurable cycle length for controlling wave frequency • Adjustable phase shift for alignment and timing experimentation • ATR-based adaptive amplitude scaling • Fixed amplitude mode for static waveform projection • Multiple centerline options:  • EMA  • SMA  • VWAP  • Close price • Dynamic phase coloring:  • Green during rising wave phases  • Red during falling wave phases • Optional centerline display and wave fill visualization • Phase transition markers when the wave crosses the centerline How It Works The indicator generates a continuous sine wave using bar progression as the time axis: • Each bar advances the wave phase • Cycle length determines how quickly the wave oscillates • Amplitude controls wave height • The centerline anchors the wave to current market positioning Unlike traditional oscillators derived directly from price movement, this model produces a stable and mathematically coherent waveform that maintains consistent cyclical structure across changing market conditions. How To Use • Use longer cycle lengths to visualize broader market rhythm • Use shorter cycle lengths to observe faster cyclical motion • ATR amplitude mode helps normalize wave size during volatility shifts • Observe rising/falling wave phases to visualize directional flow • Use centerline crossings to identify cycle midpoint transitions Important Notes • This indicator is designed as a visual cycle and rhythm tool • The waveform is time-driven, not price-predictive • Centerline crossing dots represent phase transitions, not trade signals • The indicator should be used alongside structure, trend, volatility, or order flow analysis rather than as a standalone system Best Use Cases • Visualizing cyclical market behavior • Studying trend rhythm and flow-state conditions • Overlaying harmonic structure onto price action • Identifying expansion/contraction environments • Enhancing discretionary market analysis with smooth cyclical projections
Indicator
by The_Forex_Steward
Voss Predictor Multi-Symbol RankingVoss Predictor Multi-Symbol Ranking (VPSR) is a multi-market dashboard that scans up to 40 assets and ranks them based on momentum, trend strength, and underlying market structure. Instead of analysing one chart at a time, this tool compares all selected symbols side-by-side and highlights which markets are currently showing the strongest or weakest conditions in real time. It classifies each asset as: Bullish (strength building) Bearish (weakening or declining) Neutral (no clear direction) What it helps you do Quickly identify the strongest trending markets Spot weakening or reversing assets earlier Compare stocks, forex, and crypto in one view Focus only on the highest-quality opportunities Reduce time spent switching between charts Key Features Live ranking of up to 40 symbols Simple bullish / bearish / neutral signals Composite strength score for each asset Built-in trend and momentum comparison Context-based tooltips for deeper interpretation Adaptive settings based on market type and trading style Theoretical Background (Ehlers-Based Approach) This indicator is inspired by the work of John Ehlers, a pioneer in applying digital signal processing to financial markets. Ehlers' core idea is that price action is not purely random, but instead contains hidden cyclical structures that can be revealed using filtering techniques similar to those used in engineering and physics. Rather than relying on traditional lagging indicators, this approach focuses on: Cycle extraction: isolating the dominant "wave" within market noise Bandpass filtering: removing both long-term trend distortion and short-term randomness Adaptive market cycles: recognising that cycle length and volatility constantly change Phase and momentum behaviour: identifying where price sits within its cycle (expansion, contraction, or transition) This indicator applies these principles using: An Ehlers-style bandpass filter to isolate market structure A leading filter (Ehlers' Voss) to estimate short-term directional bias A correlation-based component to measure structural alignment and consistency across price movement The result is a system that focuses on cycle behaviour and momentum flow, rather than lagging averages or reactive signals. Signal Logic Overview Bullish: Leading momentum aligns with upward structural movement Bearish: Downward momentum dominates or structure weakens Neutral: Mixed or unclear directional conditions Divergence states highlight potential exhaustion or early reversal conditions Intended Use This indicator is designed as a multi-asset scanning and ranking tool, helping traders quickly identify where momentum and structure are strongest or weakest across markets. It is best used for: Relative strength analysis Opportunity scanning across multiple assets Early detection of momentum shifts Filtering out weak or low-quality setups It is not a standalone buy/sell system, but a decision-support layer for market selection and timing context.
Indicator
by TrendMatrix_Labs
1
Asian Box Breakout - EDA TunedAsian Box Breakout This strategy trades breakouts from the Asian session range and uses data-driven tuning (EDA) with adaptive risk management. Features: • Asian session high/low breakout entries • Daily ATR-based stop loss sizing • Risk-based position sizing (% equity) • Daily EMA trend filter • Minimum box-width filter to avoid low-volatility ranges • Trailing stop activated by R-multiple movement • End-of-day position close option • Long only / Short only / Both modes • Webhook-ready alerts for automation and external bots Designed for indices and crypto markets such as US100 and BTC, while remaining adaptable to other assets. This strategy focuses on improving risk consistency and reducing false breakout behavior during low-quality market conditions. Note: Backtest performance depends heavily on market regime, timeframe, and parameter settings. Optimize carefully before live usage.
Strategy
by waranyutrkm
Weekends [by Roman]Weekends highlights Saturday and Sunday sessions directly on the chart using a subtle grey background. The indicator is designed for traders who want cleaner visual separation between trading and non-trading periods, especially when analyzing: • Crypto markets • Weekend volatility • Gaps and low-liquidity conditions • Session behavior around Monday opens Features: • Automatically highlights Saturdays and Sundays • Displays only the last 10 weeks to keep charts clean • Minimalistic transparent grey background • Uses traders's timezone • Lightweight and optimized for all timeframes Useful for: • ICT / Smart Money Concepts traders • Session-based analysis • Weekend liquidity studies • Identifying low-volume periods • Cleaner chart structure and visual organization The script helps quickly distinguish active market conditions from weekend trading behavior without cluttering the chart.
Indicator
by romantradesdaily
Fibonacci Time Window [forexobroker]Fibonacci Time Window projects expected reversal-time windows by taking the bar-distance between the last two confirmed swing pivots as a base cycle and extending it forward by Fibonacci ratios. The unique angle is that it works on the time axis rather than the price axis: signals only arm when price is inside a projected Fib time window and a reclaim-EMA cross aligns with the trend. 🔶 ALGORITHM 1. Detect confirmed swing pivots with ta.pivothigh / ta.pivotlow over the pivot length (lag of pivot-length bars by construction, so non-repainting). 2. Base cycle = bar-distance between the two most recent confirmed pivots. 3. Project three forward time targets from the latest pivot bar: pivot bar + round(base cycle x ratio) for Fib Ratio 1 (1.0), Fib Ratio 2 (1.618), and Fib Ratio 3 (2.618). 4. A time window is open when the current bar is within Window Tolerance bars of any of the three projected targets. 5. Directional bias inside a window comes from price vs the trend EMA (above = up, below = down). 6. Entry timing: while in a window and aligned with the trend direction, a close crossover (long) or crossunder (short) of the reclaim EMA fires the signal. Cooldown, position-lock, and bar-close confirmation apply. 🔶 SIGNAL LOGIC - Buy: in-session AND price inside a projected Fib time window AND trend direction = up AND close crosses over the reclaim EMA AND position not already long AND cooldown elapsed AND barstate.isconfirmed (then position locks long). - Sell: in-session AND price inside a projected Fib time window AND trend direction = down AND close crosses under the reclaim EMA AND position not already short AND cooldown elapsed AND barstate.isconfirmed (then position locks short). - Only fires while price is inside one of the three projected Fibonacci time windows. 🔶 INPUTS - Time Cycle group: bars each side to confirm swing pivots that set the base cycle; default Pivot Length 8. - Fib ratios: three time-projection multipliers of the base cycle; defaults Fib Ratio 1 1.0, Fib Ratio 2 1.618, Fib Ratio 3 2.618. - Window tolerance: bars of slack around each projected time target; default Window Tolerance 2. - Trend EMA: defines directional bias inside a window; default Trend EMA 34. - Volatility reference: ATR length for window-line height and dashboard; default ATR Length 14. - Signal Logic group: entry reclaim EMA and cooldown; default Entry Reclaim EMA 9. - Cooldown: minimum bars between signals; default Cooldown Bars 5. - Filters group: optional session restriction and session window; default Restrict to Session off. - Visual group: time-window lines, dashboard, 3-layer glow, buy/sell colors, dashboard background. 🔶 ALERTS FTW Buy, FTW Sell, FTW Any Signal, FTW Window Open, FTW Window Close, FTW Window 1, FTW Window 1.618, FTW Window 2.618, FTW New Pivot Hi, FTW New Pivot Lo, FTW EMA Up, FTW EMA Down, FTW Webhook JSON. 🔶 LIMITATIONS - Swing pivots are confirmed with a lag of Pivot Length bars, so the base cycle and projected windows update only after that confirmation delay. - The script needs at least two confirmed pivots before any time window can be projected, so early bars are a warm-up "warming up" state. - Fibonacci time windows quantise to integer bars via rounding, so projected targets snap to whole-bar positions. - Time-cycle projection is a heuristic timing aid, not a forecast; a window marks elevated reversal odds, not a guaranteed turn. - Default pivot and ratio settings are tuned for liquid instruments; entries confirm on bar close, adding one-bar lag versus intrabar price.
Indicator
by forexobroker
ICT Confluence Entry [ES/NQ]ICT trading stands for Inner Circle Trader trading, a style of trading created by Michael J. Huddleston. It’s mainly used in forex, indices, and crypto markets and focuses on understanding how large institutions (banks, hedge funds) move the market. 🧠 Core Idea of ICT Trading ICT teaches that the market doesn’t move randomly—it’s driven by “smart money” (big players). Retail traders often lose because they trade against these institutions. ICT aims to help you trade with them instead. 📊 Key Concepts in ICT Here are the main building blocks: 1. Market Structure Identifying trends (higher highs/lows or lower highs/lows) Helps you know if the market is bullish or bearish 2. Liquidity Areas where many stop-losses are sitting Institutions often push price to these zones to “grab liquidity” 3. Order Blocks Zones where big institutions placed large orders These areas often act as support/resistance 4. Fair Value Gaps (FVG) Price imbalances where the market moved too fast Price often comes back to “fill” these gaps 5. Kill Zones Specific times of day (like London or New York sessions) when volatility is high 📈 Simple Example Imagine price is rising: Retail traders place buy orders and stop-losses below Institutions push price down briefly to trigger those stops (liquidity grab) Then price reverses and goes up strongly ICT traders try to anticipate this move and enter at better prices. ⚠️ Reality Check ICT concepts can be powerful, but: They are complex and take time to master Not guaranteed to work every time Require strong discipline and risk management 👍 Who Uses ICT? Forex traders (most common) Crypto traders Index traders (e.g., NASDAQ, S&P 500)
Indicator
by Spxtrez
Mean Reversion Pro 📊 Mean Reversion Pro — Data-Driven Edge on Any Market, Any Timeframe Most mean reversion indicators tell you the price is "too far" from the moving average. This one tells you exactly how far is statistically worth trading — using your own chart's historical data as proof. Works on all instruments and timeframes: futures (NQ, ES, CL, GC…), crypto (BTC, ETH, SOL…), forex (EUR/USD, GBP/USD…), indices (SPX, DAX, NASDAQ…), stocks, commodities — anything with a price and volume. ───────────────────────────────────────── 🔍 WHAT THIS INDICATOR DOES ───────────────────────────────────────── Mean Reversion Pro silently analyses every historical instance where price deviated from a moving average by a given distance. For each of 15 tested threshold levels it computes: • Win rate — % of times price returned to the MA within the timeout • Expectancy — (win-rate × avg MFE) − (loss-rate × avg MAE) • Profit Factor — gross gain / gross loss ratio • Avg MAE — average adverse excursion (how far against you before reverting) • Avg MFE — average favourable excursion (how far in your favour) • Avg return time — average bars needed to reach the MA It then automatically selects the threshold with the highest expectancy that also satisfies your minimum win-rate and minimum occurrences filters — and only then shows a signal. No manual optimisation. No curve-fitting. ───────────────────────────────────────── ⚙️ KEY FEATURES ───────────────────────────────────────── ✅ Universal — works on futures, crypto, forex, indices, stocks, commodities ✅ 3 threshold modes: fixed Points, ATR multiples, Z-Score (adapts to any volatility regime) ✅ 5 MA types: EMA, SMA, WMA, VWMA, Hull MA ✅ Auto-optimised threshold — the indicator finds the best level by itself ✅ Real-time dashboard: win-rate, expectancy, profit factor, MAE, MFE, return time (Long & Short) ✅ Dynamic bands: 1× and 1.5× optimal threshold zones drawn on the chart ✅ Non-repainting signals — only fires on confirmed, closed bars ✅ Optional filters: trend (EMA 50), volume, US session, minimum ATR ✅ Minimum history guard — signals are held until enough bars have been analysed ✅ All parameters fully exposed and documented with tooltips ───────────────────────────────────────── 📈 WHO IS THIS FOR ───────────────────────────────────────── • Futures traders — NQ, MNQ, ES, MES, CL, GC, SI, ZB… • Crypto traders — BTC, ETH, SOL and all altcoins on any exchange • Forex traders — all major, minor and exotic pairs • Index traders — SPX, NDX, DAX, FTSE, CAC, Nikkei… • Stock traders and swing traders looking for mean reversion pullbacks • Prop firm traders who need a systematic, rules-based edge • Any trader tired of arbitrary support/resistance levels with no statistical backing ───────────────────────────────────────── 🧠 HOW TO USE IT ───────────────────────────────────────── 1. Apply to any chart on any timeframe 2. Let at least 500 bars load (recommended: 1000–2000 for robust statistics) 3. Choose Threshold Mode: — Points → best for futures and indices (fixed price distances) — ATR → best for crypto and forex (volatility-adjusted) — Z-Score → best for statistical/quant approaches 4. Set your minimum Win Rate (default 65%) and minimum Occurrences (default 15) 5. A signal appears only when all statistical conditions are met AND your filters pass 6. Read the dashboard to assess setup quality before entering a trade ───────────────────────────────────────── 💡 WHY EXPECTANCY MATTERS MORE THAN WIN RATE ───────────────────────────────────────── A strategy with 80% win rate can still lose money if the average loss is 5× the average win. Mean Reversion Pro uses expectancy — the only metric that combines win rate, average gain and average loss into a single number — as its selection criterion. A signal only appears when the math is in your favour. ───────────────────────────────────────── ⚠️ DISCLAIMER ───────────────────────────────────────── This indicator is a decision-support tool only. It does not provide financial advice and does not guarantee future results. Past statistical performance is not indicative of future performance. Always use proper risk management.
Indicator
by mounir438
Universelle Long-Strategie mit Makro-Exit und Flush-Schutz (DE) Diese Strategie wurde als universelles Long-Framework entwickelt und kann auf verschiedene Märkte wie Silber, Gold, Indizes oder Bitcoin angewendet werden. Der Kernansatz ist bewusst einfach: Solange der Markt strukturell gesund ist, bleibt die Strategie investiert; bei Trendbruch, Makro-Stress oder außergewöhnlichen Volatilitätsschocks wird die Position geschlossen und erst bei bestätigter Beruhigung wieder eröffnet. Das Skript verbindet drei Schutzebenen in einem System. Erstens prüft ein Trendmodul, ob der Kurs oberhalb einer langsamen EMA bleibt und damit die Grundstruktur intakt ist. Zweitens analysiert ein Makro-Stressmodul zwei externe Symbole, zum Beispiel DXY und US10Y, um potenziellen Gegenwind frühzeitig zu erkennen. Drittens schützt ein Flush-Modul vor scharfen Abverkaufsphasen oder ungewöhnlichen ATR-Schocks, die häufig mit instabilen Marktbedingungen einhergehen. Für mehr Flexibilität enthält die Strategie Markt-Voreinstellungen für Silber, Gold, SPX und BTC. Diese Presets passen wichtige Parameter wie EMA-Längen, Flush-Schwellen und ATR-Schock-Multiplikatoren an den jeweiligen Marktcharakter an, ohne die Kernlogik der Strategie zu verändern. Ein zentrales Merkmal ist das vollständig deutschsprachige Statuspanel. Dort werden unter anderem Gesamt-Ampel, Strategie-Rendite, Buy-and-Hold-Vergleich, Trendstatus, Makro-Stress, Flush-Zustand, Wiedereinstiegsbereitschaft, Nettogewinn, Trefferquote und Max Drawdown angezeigt. Die Gesamt-Ampel fasst Rendite, Trefferquote und Drawdown zu einer schnellen Qualitätsbewertung in Grün, Gelb oder Rot zusammen. Funktionen Universelles Long-Framework für mehrere Märkte. Trend-Exit über langsame EMA-Struktur. Makro-Stressfilter mit zwei frei definierbaren externen Symbolen. Flush-Schutz für starke Abverkaufs- und Volatilitätsschocks. Automatische Wiedereinstiegslogik nach Beruhigung. Markt-Voreinstellungen für Silber, Gold, SPX und BTC. Deutsches Dashboard mit Gesamt-Ampel und Performance-Metriken. Geeignet für Die Strategie eignet sich vor allem für Nutzer, die ein regelbasiertes Long-System für trendstarke Märkte testen möchten. Sie ist besonders interessant für Trader, die nicht dauerhaft im Markt bleiben wollen, sondern schwache oder stressige Marktphasen aktiv herausfiltern möchten. Hinweise Diese Strategie ist ein Framework und keine Garantie für Profitabilität. Die Voreinstellungen sind als Startpunkt gedacht und sollten je nach Markt, Timeframe und Handelsstil individuell getestet und angepasst werden. Backtests sollten immer mit realistischen Kosten, Slippage und möglichst auch Out-of-Sample-Prüfungen interpretiert werden.
Strategy
by ssam012
NVDAX Grid - Long IndicatorNVDAX Grid — Long Indicator 🔷 What it does: This is a signal-only indicator that mirrors a price-grid long workflow on NVDAX / USDT between two fixed bounds. It tracks up to 56 independent virtual slots between a configurable High and Low — each slot fires a webhook-ready buy signal when price crosses down through it, and a paired sell signal when price subsequently crosses up through the slot immediately above. The indicator computes a running average entry, total deployed capital, and open PnL from the live slot ledger and renders all of it on the chart. - Pre-computes 7–200 grid levels in Geometric (default) or Arithmetic spacing. - Each slot is an independent ownership flag with its own buy/sell webhook payload. - Avg entry is derived from fill-by-fill bookkeeping — total cost and total qty are updated on every event. - Every event emits a webhook-ready JSON alert payload tagged with the specific grid slot. 🔷 Who is it for: - Swing traders harvesting volatility on tokenized equity pairs in range-bound regimes. - Bot operators looking for a chart-driven signal source that emits per-slot JSON ready for a DCA Bot configured for grid execution. - Traders who want to monitor a virtual grid state — avg entry, owned slots, deployed capital, open PnL — directly on the chart without a backtest engine. - Portfolio operators using a high-trade-count contributor alongside directional strategies. 🔷 How does it work: Grid Construction: On script load, the indicator computes N price levels between the configured High and Low bounds. In Geometric mode (default), level k is at High × (Low/High)^(k/(N-1)), giving constant percent spacing — approximately 0.58–0.85% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price. Per-Slot State Machine: Each grid level is an independent slot tracked by a boolean ownership flag. When close price crosses down through an empty slot's level, the slot is marked owned, virtual cost-basis is added, and the BUY webhook payload is dispatched. When close price crosses up through the level immediately above an owned slot, the slot is marked free, virtual cost-basis is subtracted, and the SELL webhook payload is dispatched. Honest Virtual Bookkeeping: Total cost and total qty are updated incrementally on each event, so the avg entry, deployed capital, and open PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcuts from base entry, no synthetic averaging. No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The indicator never trails the exit and never signals a slot-out for a loss — slots that fall below their entry stay owned until price comes back. This is the canonical grid-bot behavior. 🔷 Why it's unique: - Per-Level Webhook Ledger: Every BUY and SELL emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The indicator can drive a DCA Bot configured for grid emulation without any glue layer. - Fill-by-Fill Avg Entry: The orange avg-entry line is derived from running totals updated on every event — what you see is what the broker-equivalent position would actually have. - Active Slot Highlighting: Owned grid levels are rendered with a thicker green stroke; empty slots stay dashed gray. Slot density and current loading are visible at a glance. - Range Box & Bounds Labels: A semi-transparent box spans the configured High/Low range, and crisp HIGH/LOW labels mark the bounds — the grid topology is obvious without zooming. - Calibrated for NVDAX 15m: Default bounds, level count, and step size are set against NVDAX's observed historical range — granular enough to catch frequent 15m round-trips, wide enough to avoid fee churn. 🔷 Considerations Before Using the Indicator: Market Selection & Range Validity: Grid strategies are most profitable in range-bound, mean-reverting markets. On strong directional trends below the configured Low, slots will keep marking as owned as price falls and won't free until price reverses. The default High/Low (226.83 / 154.16) was set against NVDAX's observed range; update both whenever the regime changes. Tokenized Equity Specifics: NVDAX is a tokenized derivative tracking NVDA equity. Off-hours liquidity and gap behavior can differ from spot crypto pairs — review the asset's session profile before relying on the signal stream for live deployment. Capital Deployment: The default Total Investment of 10,000 USDT is a virtual reference used for the avg-entry and open-PnL computation. The real sizing happens on the bot side — match the indicator's per-slot allocation to your bot's grid configuration to keep the avg-entry display honest. Cross Detection Granularity: Crossings are detected on bar close, comparing the current close to the previous close. A bar that spikes through a level and returns within the same bar may be missed by design — this prevents over-signaling on intra-bar wicks. Live vs Historical State: The virtual slot ledger is rebuilt from chart history each time the indicator is recompiled. If the indicator is added mid-deployment or the live bot diverges from the signal stream (manual interventions, partial fills), the indicator state may not match the live bot. Toggle the indicator off and on to reset. No Stop Loss: There is no exit signal on adverse moves below the lowest grid level. Risk is structurally capped on the bot side by the bounded Total Investment configured at the bot. If a hard stop is required, layer it on the bot side. Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester. For performance metrics over a four-month sample (~542 closed trades, 4.60% max drawdown, profit factor 2.098), use the companion strategy version on identical parameters. 🔷 How to Use It: 🔸 Add the indicator to a NVDAX / USDT 15m chart. 🔸 Set the High and Low bounds to a range you expect NVDAX to respect. 🔸 Pick Geometric (default, recommended) or Arithmetic spacing. 🔸 Set Grid Levels (7–200) and the virtual Total Investment used for avg-entry computation. 🔸 In the DCA Bot Webhook group, paste your Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_NVDAX). 🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. Every grid-level buy and grid-level close will emit a dedicated JSON payload tagged with the slot index, so each level can be tracked independently downstream. 🔷 INDICATOR SETTINGS High Price: Top of the grid. The highest level a slot can be created from. Low Price: Bottom of the grid. The lowest level a slot can be created from. Grid Levels: Number of price levels between High and Low (default 56, range 7–200). Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step). Total Investment (USDT): Virtual capital allocated across all slots. Used for the avg-entry and open-PnL computation only. Bot ID / Email Token / Pair: Webhook fields injected into every alert payload. Visualization: Toggle grid lines, range box, HIGH/LOW labels, avg entry plot, fill labels, signal triangles, status table. Brand Watermark: Configurable text, position, size, and transparency. 👨🏻‍💻💭 We hope this tool helps enhance your trading. Your feedback is invaluable, so feel free to share any suggestions for improvements or new features you'd like to see implemented. __ The information and publications within the 3Commas PulseWire account are not meant to be and do not constitute financial, investment, trading, or other types of advice or recommendations supplied or endorsed by 3Commas and any of the parties acting on behalf of 3Commas, including its employees, contractors, ambassadors, etc.
Indicator
by 3Commas
Institutional Accumulation vs Distribution EngineThe Institutional Accumulation vs Distribution Engine is a professional-grade PulseWire Pine v6 indicator built to detect whether a stock is being quietly accumulated by institutions or distributed after a rally. It combines price action, volume behavior, relative strength, volatility structure, and smart-money flow into a single weighted institutional score. 🔍 What the Indicator Detects ✅ Accumulation Signals Higher highs & higher lows Tight volatility contraction before breakout Rising smart-money absorption near VWAP/support Low-volume pullbacks during uptrends Relative outperformance vs Nifty and sector Breakouts with expanding volume ❌ Distribution Signals Failed breakouts and heavy-volume reversals Gap-up exhaustion candles Weak relative strength Breakdown after volume spikes Repeated rejection near resistance 📊 Weighted Institutional Model Price–Volume Structure → 20% Smart Money / Delivery Proxy → 20% Institutional Activity Proxy → 15% Fundamental Momentum → 15% Relative Strength → 10% Technical Structure → 10% Volatility Compression → 5% Market Cycle Positioning → 5% 📈 Outputs Institutional Score (0–100) Accumulation / Distribution Phase Confidence Level Smoothed Trend Strength The indicator uses Accumulation/Distribution (A/D) concepts widely used in institutional trading to analyze underlying supply-demand dynamics.
Indicator
by ravigeenesingh
1
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