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% From Open Watermark% From Open Watermark displays the current percentage change from the session open as a large, semi-transparent watermark overlaid on your chart. It calculates the move from the daily, weekly, or monthly open (your choice) to the current close and updates in real time as price moves. The text color shifts automatically, turning green when you're up on the session, red when you're down, and gray when flat. This gives you an at-a-glance read on session performance without having to do mental math or glance at a separate panel. The watermark is fully customizable. Place it in any of nine positions on the chart (top, middle, or bottom paired with left, center, or right), choose from six text sizes including an auto-scaling option, and adjust the transparency and colors to match your chart theme. You can toggle the leading "+" sign on positive moves and set decimal precision from 0 to 4 places. Because it renders as a positioned table rather than a price-anchored label, it stays put as you scroll and zoom, just like a real watermark.
Indicatore
di CONDORTANGO
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 TradingView 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.
Indicatore
di 3Commas
AetherEdge - Sentiment-Proxy Correlation Mapper🖊️ Overview A psychology-focused engine that infers crowd emotion without any social or news feed — purely from price action. It builds sentiment proxies — volume anomaly (panic/euphoria), volatility (fear), price velocity (momentum drive), wick asymmetry (greed vs. fear at extremes), and run-length (FOMO / capitulation) — then uses a NeuraLib correlation map to learn how these proxies move together and weighs them into a single Fear ⇄ Greed sentiment score. A self-adapting mapping continuously re-correlates the proxies against realized outcomes, and the engine flags sentiment turning points — the moments crowd emotion flips. Visualization: a chart-background gradient shading the tape from Fear (red) to Greed (green), plus emphasis dots only at the reversals. 🔶 Key Features Sentiment proxies — five emotion proxies built from price action alone (no external data) NeuraLib correlation mapping — learns the proxies' joint behavior and fuses them into a Fear⇄Greed score Self-adapting correlation — continuously re-correlates proxies against realized outcomes (learns which matter) Turning-point detection — flags fear⇄greed reversals on a zero-line cross with sufficient swing Sentiment background gradient — shades the chart from fear (red) through neutral to greed (green), intensity by magnitude Turning-point dots — only the reversal moments are emphasized with dots and labels (noise excluded) Emotional extreme markers — faint diamonds when sentiment enters a greed/fear extreme zone Intelligence panel — Fear⇄Greed gauge, each proxy's value and learned correlation strength, and the latest turn 🧠 Technical Architecture The engine builds five sentiment proxies from price: (1) volume anomaly (volume z-score × candle direction = euphoric buying / panic selling), (2) volatility (ATR ratio = higher is fear/stress), (3) price velocity (ATR-normalized speed of change = momentum), (4) wick asymmetry (lower − upper wick = which side defended the extreme), and (5) run-length (consecutive up/down within the window = FOMO / capitulation). These feed the NeuraLib correlation map: proxies(5) → hidden(tanh) → sentiment(1, tanh-bounded ), trained by supervision so sentiment correlates with realized forward direction — greed (positive) preceding up-moves, fear (negative) preceding down-moves. After each step, each proxy's contribution to the hidden layer (mean absolute weight) is recomputed as its correlation strength, shown in the panel so you can see which proxy currently dominates emotion. Sentiment is smoothed into a Fear⇄Greed score. Turning-point detection flags a fear→greed (or reverse) reversal when a zero-line cross's magnitude clears the Turn Sensitivity. The background is colored continuously by color.from_gradient, with intensity proportional to emotional magnitude. ⚙️ Recommended Settings & Tuning Guide BTC (1H–4H): Volume 20, Volatility 14, Velocity 10, Smoothing 4, Turn Sensitivity 0.20. Standard settings fit well ETH (1H–4H): As BTC, with Outcome Lookahead 5–8 SOL (15m–1H): High volatility favors Smoothing 5–6 to smooth sentiment, Turn Sensitivity 0.25 to suppress false turns XRP (1H–4H): Spike-prone; Volume window 15 for sensitive anomaly detection, Extreme Threshold 0.5 for early extremes Turn Sensitivity: higher makes turns selective (only large emotional reversals); lower detects more frequently Extreme Threshold: beyond ±this is "extreme greed/fear" — a contrarian guide at 0.5–0.6 Sentiment Smoothing: higher smooths the background and score; lower is more reactive Background Intensity: lower makes the background more vivid — adjust to taste 💡 How to Use in Practice Reading the gradient: deep green = greed dominates (possible overheating); deep red = fear dominates (possible capitulation); neutral = balanced — saturation is emotional strength Using turning-point dots: a "FEAR→GREED" dot marks a flip from fear to greed (possible bottom); "GREED→FEAR" a possible top — a basis for contrarian/trend entries Contrarian at extremes: at extreme greed (green diamond) beware a pullback from overheating; at extreme fear (red diamond) watch for an oversold bounce — quantifying "be fearful when others are greedy" Watching proxy correlations: the panel's per-proxy value and correlation strength reveal what drives emotion now (e.g. high volume-anomaly correlation = volume-led sentiment) Background vs. price divergence: price rising while the background reads fear (bearish sentiment) is an early reversal warning Multi-timeframe usage: read the big-picture emotional regime on the higher timeframe (4H), then time entries on turning points on the lower one (15m–1H) ⚠️ Important Notes Nature of proxies: this is not real social/news sentiment but an estimated proxy inferred from price action — an approximation of crowd psychology that differs from external sentiment data Initial learning period: right after launch the map's buffer is nearly empty and emotion estimates are unstable; treat as low-confidence until it fills (100+ bars) Learning resets: changing parameters, switching symbol/timeframe, or recompiling reinitializes the map weights and buffer, restarting learning from zero Danger of contrarianism: extreme emotion can persist (greed runs long in strong trends) — an extreme is not an instant reversal; pair with risk management On look-ahead: the map's target uses closed-bar realized direction (a standard training construct); current-bar emotion is on confirmed values, but as with any adaptive system, historical and live behavior can differ — always forward-test Constraints: this is a lightweight implementation operating within Pine's compute budget 🚨 Disclaimer This indicator is an analytical and educational visualization tool. The sentiment proxies, correlation mapping, Fear⇄Greed score, turning-point detection, and sentiment background are quantitative heuristics computed on-chart from price data — they are not financial advice, buy/sell signals, or any guarantee of future performance. Estimates of crowd psychology can be wrong. Always combine any tool with your own analysis and disciplined risk management.
Indicatore
di AetherEdge
HOD%HOD% shows how far the current price is from the current intraday High of Day. The value is calculated as: HOD% = ((High of Day - Current Price) / Current Price) * 100 How to read it: 0.00 = price is exactly at High of Day 1.00 = price is about 1% below High of Day 3.00 = price is about 3% below High of Day This indicator is useful for momentum traders who want to find stocks trading close to their High of Day. Lower values usually mean stronger intraday momentum. Suggested usage: HOD% <= 1 = very strong, near High of Day HOD% <= 3 = still close to High of Day HOD% > 5 = farther from High of Day The script can be used in TradingView Pine Screener as a custom column for scanning watchlists.
Indicatore
di shalom_jana
NVDAX Grid Bot - Long StrategyNVDAX Grid Bot — Long Strategy 🔷 What it does: This is a long-only price-grid strategy that harvests volatility on NVDAX / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale. - Up to 56 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment. - No trailing exit, no stop loss — each slot's exit is the level above its entry. - Per-slot exposure is approximately 1.8% of equity at default settings, comfortably inside the 5–10% per-trade risk band. - Every fill and close 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 with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution. - Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk. - Range traders who prefer mechanical execution over discretionary entries. 🔷 How does it work: Grid Construction: On script load, the strategy 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 Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels. No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior. Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 56 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control. 🔷 Why it's unique: - Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer. - Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead. - Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. - Calibrated for NVDAX 15m: Default bounds, level count, and step size are set against NVDAX's observed historical range. The 56-level geometric ladder gives roughly 0.58–0.85% per step — granular enough to catch frequent 15m round-trips, wide enough to avoid fee churn. 🔷 Considerations Before Using the Strategy: 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 loading as price falls and won't close 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 backtest numbers for live deployment. Capital Deployment: The default Investment of 10,000 USDT equals 100% of starting capital — this is a high-conviction setting that assumes the configured range holds. Per-slot risk remains low (~1.8% of capital), but if price collapses far below the Low bound, the aggregate unrealized loss can be substantial. Scale the Investment input down to match the worst-case drawdown you are willing to absorb in a range-break scenario. No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's per-trade risk is structurally capped by the per-slot allocation (Investment / N levels) — at defaults that is 179 USDT per slot, well inside the conventional 5–10% per-trade band. The aggregate unrealized exposure is controlled separately via the Investment input. Trade Volume & Fees: Grid bots on 15m generate a high number of round-trips. The default commission (0.1% per trade) is calibrated for Bybit spot taker conditions; any mismatch with your exchange's actual fees will materially shift the results given the high trade count. Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid. 🔷 STRATEGY PROPERTIES Symbol: BYBIT:NVDAXUSDT (Spot) Timeframe: 15min Test Period: January 23, 2026 — May 24, 2026 (~4 months). Initial Capital: 10,000 USDT. Total Investment: 10,000 USDT (100% of capital, high-conviction setting). Order Size per Slot: Investment / 56 ≈ 179 USDT (~1.8% of equity). Commission: 0.1% per trade. Slippage: 3 ticks. Margin for Long Positions: 100%. Indicator Settings: Default Configuration. Grid Bounds: High 226.83 / Low 154.16 (range −30%). Grid Levels: 56 (Geometric spacing, ~0.58–0.85% per step). Stop Loss: None — per-slot allocation is the structural risk cap. Trailing: None. Strategy: Long Only. 🔷 STRATEGY RESULTS ⚠️ Remember, past results do not guarantee future performance. Net Profit: +662.81 USDT (+6.63%) Max Equity Drawdown: 468.04 USDT (4.60%) Total Closed Trades: 542 Percent Profitable: 62.55% (339 / 542) Profit Factor: 2.098 🔷 How to Use It: 🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect NVDAX to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile. 🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band. Validate that the trade count is high enough to be statistically meaningful (≥ 100 closed trades is a reasonable floor — at default settings the strategy typically generates several hundred round-trips per 90-day window on NVDAX 15m). 🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. 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): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels. 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, 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 TradingView 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.
Strategia
di 3Commas
Risk Manager [SkaleHub]Overview The ultimate capital preservation tool. This indicator calculates mathematically secure stop-loss placements based on real-time market volatility (ATR) and features a dynamic dashboard that tells you the exact position size to take to protect your account. The Edge Amateurs blow accounts by guessing their lot sizes and placing arbitrary stop-losses. This tool professionalizes your risk. By adjusting your position size relative to the asset's current volatility, it ensures that whether you are trading a quiet forex pair or a volatile crypto asset, your monetary risk remains an exact, controlled percentage of your capital. Key Features: Volatility-Based Stops: Automatically calculates stop-loss levels using the Average True Range (ATR), ensuring your stop is safely tucked behind the market's natural "noise" to prevent early liquidations. Auto-Position Sizing: Input your account balance and risk tolerance (e.g., 1%), and the built-in dashboard instantly outputs the exact number of shares or units you should buy. On-Chart Visual Guardrails: Optionally plots dynamic crosshair lines on the chart so you can visually see exactly where your mathematically optimized stop-loss should be placed before entering a trade. How to Use Apply the indicator and open the settings menu. Enter your total account balance and your strict risk percentage (1-2% is highly recommended). When your Level 3 Momentum Trigger fires an entry signal, look at the Risk Manager dashboard in the corner of your screen. Execute the trade using the exact "Position Size (Units)" displayed on the dashboard, and immediately set your hard stop-loss at the "Stop Distance" mapped out on the chart. Author's Note This is a premium, Invite-Only script. It is Level 4 of the SkaleHub Training System. To gain access, your TradingView username must be explicitly authorized through the SkaleHub Academy.
Indicatore
di SkaleHub
Price Density Clouds [EXCAVO]Continuous Kernel-Density Map of Where Price Has Actually Traded The Price Density Clouds builds a smooth, continuous probability density of price over a lookback window and paints it as gradient clouds directly behind the candles. Dense, saturated clouds mark value zones - the equilibrium levels where the market has spent the most time and where price tends to stall and revert. Thin, transparent gaps mark inefficiency zones - levels price travels through quickly. A dashed POC line marks the single highest-probability price, and the Value Area High / Low bracket the core of the distribution. This is not a bin-based volume profile. Instead of chopping price into discrete buckets, KDE sums a smooth gaussian kernel around every price point, producing a continuous density curve with no bin-edge artefacts. The bandwidth is set automatically by Silverman's rule, so the smoothing adapts to the instrument's own volatility. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW TO USE Step 1 → Add the indicator. Gradient clouds appear behind the candles over the lookback window, brightest at the highest-probability levels and fading out toward thin zones. Step 2 → Read the clouds. Saturated bands = value / equilibrium where price tends to stall and mean-revert. Faint gaps = inefficiency where price moves fast - natural travel targets. Step 3 → Use the POC. The dashed POC line is the single most-traded level - a robust magnet and support / resistance anchor. Price far from POC has a statistical pull back toward it. Step 4 → Use the Value Area. The dotted Value Area High / Low bracket the core of the distribution (default 70%). Acceptance inside the area is balance; rejection outside it is imbalance worth trading. Step 5 → Check the side profile. The gradient density profile on the right of the last bar is the same density rotated 90 degrees - a quick read of the full distribution shape at a glance. Step 6 → Combine with structure. Clouds are context, not direction. They pair well with trend, sweep, and breakout tools - a breakout into a thin zone tends to run; a breakout into a dense zone tends to stall. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ HOW IT CALCULATES ◆ Gaussian Kernel Density Every close in the lookback window contributes a gaussian bell curve centred at its own price. The curves are summed across the price range to produce a single continuous density function: density(x) = sum over j of exp(-0.5 x ((x - price_j) / h)^2). Levels where many bars cluster get tall, overlapping kernels and a high density; isolated levels get a low density. ◆ Silverman Bandwidth The kernel width h controls smoothness. It is set automatically by Silverman's rule of thumb: h = 1.06 x sigma x n^(-1/5), where sigma is the stdev of the lookback prices and n is the sample size. The Bandwidth Multiplier input scales this for sharper or smoother clouds. Auto-bandwidth means the same settings adapt across instruments and timeframes. ◆ Normalisation and POC The density is evaluated at Resolution levels between the lookback high and low, then normalised so the peak equals 1.0. That peak level is the POC (Point of Control) - the single highest-probability price. Cloud opacity and colour are driven by each level's normalised density. ◆ Value Area Starting at the POC, the algorithm expands outward, each step absorbing the denser of the two neighbouring levels, until the enclosed density reaches the Value Area % of the total (default 70). The price extent reached becomes the Value Area High and Low. ◆ Gradient Rendering Each density band of the cloud is drawn as a horizontal box tinted by a two-colour gradient: the Low Density Color at thin levels through to the High Density Color at the POC, with opacity ramping in parallel. Adjacent bands tile continuously, so the cloud reads as a smooth heat-map rather than discrete blocks. The same gradient drives the right-side density profile, whose width per level scales with density - at the default resolution the edge reads as a near-smooth wave while keeping the per-level gradient colour. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ WHAT MAKES IT DIFFERENT ◆ Continuous Density, Not Bins Standard volume / price profiles split price into discrete bins, so the result depends heavily on bin size and shows hard edges. KDE produces a smooth continuous curve - no bin-edge artefacts, no arbitrary bucket count, just the true shape of where price has traded. ◆ Auto-Adaptive Bandwidth Silverman's rule sizes the smoothing from the instrument's own volatility and sample size. The clouds stay meaningful on BTC, EURUSD, gold or an index with the same default settings. ◆ Value Structure In One View POC, Value Area High / Low and the full density shape are all on the chart at once, with a matching side profile - the complete market-profile read without a separate pane or a session reset. ◆ Premium Gradient Visual A smooth two-colour density gradient behind the candles with parallel opacity ramp, a clean dashed POC, dotted value-area lines, and a right-side profile histogram. The clouds sit behind price as context and never clutter the read. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ DASHBOARD Real-time panel (top right) with the current value read: POC - price of the highest-density level Value Area High - upper bound of the value area Value Area Low - lower bound of the value area Price Zone - whether price is Above Value, In Value, or Below Value Lookback - bars used to build the distribution Legend table (bottom left) explains every colour. Both panels toggle in the Dashboard settings. ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ ▸ SETTINGS Engine Lookback Period - 200 (bars used to build the price distribution) Resolution - 120 (number of horizontal density bands; higher = smoother gradient and profile edge, up to 200) Bandwidth Multiplier - 1.0 (smoothness; 1.0 = Silverman auto, higher = broader clouds) Value Area % - 70 (percentage of total density that defines the value area) Visualization Low Density Color - blue (thin / inefficiency end of the gradient) High Density Color - orange (dense / value end of the gradient) POC Line Color - near-white (high contrast against the dense orange cloud the POC sits in) Min Cloud Opacity - 8 (opacity of the lowest-density band; keeps empty zones faint) Max Cloud Opacity - 65 (opacity of the POC band) Show POC Line - ON Show Value Area - ON (dotted Value Area High / Low lines) Value Area Highlight - ON (boosts band opacity inside the value area so the 70% core pops) Show Side Profile - ON Profile Outline - ON (thin bright line tracing the right edge of the profile for a crisp silhouette) Cloud Forward Extend - 10 (bars the clouds extend right of the last bar) Dashboard Show Dashboard - ON Dashboard Position - Top Right Show Legend - ON ━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━━ Best regards, EXCAVO Disclaimer Trading involves significant risk. This indicator is a technical analysis tool and does not constitute financial advice, investment recommendations, or a guarantee of future results. Past indicator behavior does not guarantee future performance. Always use proper risk management and your own judgment.
Indicatore
di EXCAVO
TON Grid - Long IndicatorTON Grid - Long Indicator 🔷 What it does: This is a signal-only indicator that mirrors a price-grid long workflow on TON / USDT between two fixed bounds. It tracks up to 67 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 TON 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 0.6–1.0% 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 TON 15m: Default bounds, level count, and step size are set against TON'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 (2.04 / 1.211) was set against TON's observed range; update both whenever the regime changes. 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 (~768 closed trades, 3.05% max drawdown, profit factor 2.888), use the companion strategy version on identical parameters. 🔷 How to Use It: 🔸 Add the indicator to a TON / USDT 15m chart. 🔸 Set the High and Low bounds to a range you expect TON 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_TON). 🔸 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 67, 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 TradingView 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.
Indicatore
di 3Commas
TON Grid Bot - Long StrategyTON Grid Bot — Long Strategy 🔷 What it does: This is a long-only price-grid strategy that harvests volatility on TON / USDT through repeated round-trips on a pre-defined ladder of price levels between two fixed bounds. Each level is an independent slot: when price crosses down through a level, the strategy opens one slot; when price subsequently crosses up through the level immediately above, that slot is closed for a fixed round-trip profit. The grid is generated geometrically by default, so spacing adapts to the price scale. - Up to 67 simultaneous long slots at default settings, each sized as a fixed fraction of the configured Total Investment. - No trailing exit, no stop loss — each slot's exit is the level above its entry. - Per-slot exposure is approximately 1.5% of equity at default settings, comfortably inside the 5–10% per-trade risk band. - Every fill and close emits a webhook-ready JSON alert payload tagged with the specific grid slot. 🔷 Who is it for: - Swing traders harvesting volatility on TON in range-bound regimes. - Bot operators looking for a chart-driven signal source with per-slot webhook JSON ready to drive a DCA Bot configured for grid execution. - Traders running a portfolio of low-correlation strategies who want a high-trade-count contributor with bounded per-trade risk. - Range traders who prefer mechanical execution over discretionary entries. 🔷 How does it work: Grid Construction: On script load, the strategy 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 0.6–1.0% per step at default settings. In Arithmetic mode, levels are linearly spaced by absolute price. Per-Slot Logic: Each grid level is an independent slot tracked by a boolean ownership flag. When bar close moves price down through an empty slot's level, a long is opened at that level for one slot's worth of capital (Investment / N). When bar close moves price up through the level immediately above an owned slot, that slot is closed, locking the round-trip profit between the two adjacent levels. No Trailing, No Stop Loss: By design, each slot has a fixed exit (the level above). The strategy never trails the exit and never stops a slot out for a loss — slots whose entry price is below current market simply wait until price comes back. This is the canonical grid-bot behavior. Capital Bounds: Total deployed capital cannot exceed the configured Investment. When all 67 slots are filled, no new orders are opened until price rises and starts closing slots. This structural cap is the strategy's primary risk control. 🔷 Why it's unique: - Per-Level Webhook Ledger: Every fill and close emits a fully-formed JSON alert payload tagged with the specific grid slot ("Grid_BUY_L5" / "Grid_TP_L5"). The strategy can drive a DCA Bot configured for grid emulation without any glue layer. - Pre-Allocated State: All up to 200 slot ledgers live in fixed-size arrays, so state lookups are constant-time and the chart can render every active slot with no performance overhead. - Honest Backtest Surface: The avg entry line plotted on the chart and the open PnL displayed in the status table both reflect the actual broker-equivalent position state — derived from fill-by-fill bookkeeping, not synthetic averaging. - Calibrated for TON 15m: Default bounds, level count, and step size are set against TON's observed historical range. The 67-level geometric ladder gives roughly 0.6–1.0% per step — granular enough to catch frequent 15m round-trips, wide enough to avoid fee churn. 🔷 Considerations Before Using the Strategy: 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 loading as price falls and won't close until price reverses. The default High/Low (2.04 / 1.211) was set against TON's observed range; update both whenever the regime changes. Capital Deployment: The default Investment of 10,000 USDT equals 100% of starting capital — this is a high-conviction setting that assumes the configured range holds. Per-slot risk remains low (~1.5% of capital), but if price collapses far below the Low bound, the aggregate unrealized loss can be substantial. Scale the Investment input down to match the worst-case drawdown you are willing to absorb in a range-break scenario. No Stop Loss Justification: There is no exit on adverse moves below the lowest grid level. The strategy's per-trade risk is structurally capped by the per-slot allocation (Investment / N levels) — at defaults that is 149 USDT per slot, well inside the conventional 5–10% per-trade band. The aggregate unrealized exposure is controlled separately via the Investment input. Trade Volume & Fees: Grid bots on 15m generate a very high number of round-trips. The default commission (0.1% per trade) is calibrated for Bybit / Binance spot taker conditions; any mismatch with your exchange's actual fees will materially shift the results given the high trade count. Demo Testing: Always demo-test before going live. Past results do not guarantee future performance, especially on a strategy whose profitability is bounded by the chosen High/Low range remaining valid. 🔷 STRATEGY PROPERTIES Symbol: BINANCE:TONUSDT (Spot) — strategy is portable to any TON / USDT pair. Timeframe: 15M Test Period: January 23, 2026 — May 23, 2026 (~4 months). Initial Capital: 10,000 USDT. Total Investment: 10,000 USDT (100% of capital, high-conviction setting). Order Size per Slot: Investment / 67 ≈ 149 USDT (~1.5% of equity). Commission: 0.1% per trade. Slippage: 3 ticks. Margin for Long Positions: 100%. Indicator Settings: Default Configuration. Grid Bounds: High 2.04 / Low 1.211 (range −38.86%). Grid Levels: 67 (Geometric spacing, ~0.6–1.0% per step). Stop Loss: None — per-slot allocation is the structural risk cap. Trailing: None. Strategy: Long Only. 🔷 STRATEGY RESULTS ⚠️ Remember, past results do not guarantee future performance. Net Profit: +1,001.46 USDT (+10.01%) Max Equity Drawdown: 343.54 USDT (3.05%) Total Closed Trades: 768 Percent Profitable: 60.81% (467 / 768) Profit Factor: 2.888 🔷 How to Use It: 🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect TON to respect. Pick Geometric for percent-spaced levels (default, recommended) or Arithmetic. Set Grid Levels (7–200) and Total Investment to match your risk profile. 🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays within your personal risk band. Validate that the trade count is high enough to be statistically meaningful (≥ 100 closed trades is a reasonable floor — at default settings the strategy typically generates several hundred to several thousand round-trips per 90-day window on TON 15m). 🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste your DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. 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 67, range 7–200). Spacing Mode: Geometric (constant percent step) or Arithmetic (constant absolute step). Total Investment (USDT): Total capital allocated across all slots. Per-slot size = Investment / Grid Levels. 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, 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 TradingView 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.
Strategia
di 3Commas
Multi-Session Levels (Exclusive Logic)Overview Multi-Session Levels (Exclusive Logic) is a specialized technical analysis tool designed for intraday traders who rely on session-based liquidity and reference levels (Highs, Lows, Opens, and Pivots). Unlike standard session indicators that often clutter the chart with overlapping historical data, this script utilizes a custom "Exclusive Display Logic" to ensure that traders only see the most relevant historical context based on the current time of day. The primary innovation of this script is its context-aware filtering. When a specific market session is active (e.g., London), the script automatically hides that session's own previous day levels to prevent visual "intrusion" or bias. Instead, it projects the locked reference levels of the other major global sessions (Asia and New York) onto the current price action. This allows traders to focus on cross-session liquidity grabs and breakout retests without the distraction of redundant data. Technical Methodology & Calculations The script calculates levels based on the official exchange market hours using native timezones to ensure 100% accuracy regardless of the user's local clock: Asia (Tokyo Stock Exchange): 09:00 - 15:00 JST London (London Stock Exchange): 08:00 - 16:30 GMT/BST New York (New York Stock Exchange): 09:30 - 16:00 EST/EDT Key Calculations: PSH / PSL (Previous Session High/Low): Uses a state-machine tracking algorithm that captures the absolute high and low of the defined session window. Once the session window closes, these values are "locked" and projected forward to the next relevant trading day. PSO (Previous Session Open): Captures the open price of the very first bar within the session string. PSP (Previous Session Pivot): Calculated as the Midpoint $(High + Low) / 2$ of the completed session, serving as a critical mean-reversion level. Current Session Open: Identifies the real-time opening price of the active session to monitor current-day bias. How to Use Identify Liquidity Pools: Use the PSH (Previous Session High) and PSL (Previous Session Low) labels to identify where "buy-side" and "sell-side" liquidity may be resting from previous global sessions. Monitor Cross-Session Breaks: While trading London, watch how price reacts to the Asia PSH/PSL. A break and retest of these levels often signals a trend continuation or a fake-out (liquidity sweep). Pivot Midpoints: Use the PSP (Dashed line) as a value area. Price trading above the PSP generally indicates a bullish session bias, while trading below indicates a bearish bias. Customization: Use the "Visibility" toggles in the settings to isolate specific levels (like just the Open or just the High/Low) depending on your specific trading strategy. Settings Market Hours: Users can refine the session strings if they wish to track "Pre-market" or "Electronic Trading Hours" instead of official exchange hours. Visibility: Toggle PSH, PSL, PSP, and PSO individually. Styling: Full control over session colors to match your chart theme.
Indicatore
di Tradedailywithseb
MTIDDescription MTID is an all-in-one overlay built for swing and position traders who want price action, key statistics and fundamentals on a single pane. Six configurable moving averages, a "big move" marker, a live stats dashboard, and an 8-quarter fundamentals table are combined into one indicator with independent toggles for every section. WHAT'S ON THE CHART • Six moving averages — each with its own length, type (SMA/EMA), color and timeframe-visibility filter (All / Intraday+Daily / Weekly+Monthly / Intraday-only / Daily-only / Weekly-only). Default lengths 10/20/50/100/150/200 cover the most-watched values. • Purple-Dot Big Move — flags bars whose move ≥ a configurable % AND volume ≥ a configurable threshold. Shape, size, color and timeframe-visibility are all configurable; bars can be color-coded on move direction. • Optional bar coloring for high relative-volume bars. STATS DASHBOARD (vertical table or horizontal headband) • Sector & Industry (auto-detected from the symbol) • Market Cap with currency conversion (Auto / USD / INR / EUR / GBP / JPY) and Indian (Cr/LCr) or Western (M/B/T) formatting • 52-Week High/Low — % off the high and % off the low (daily-candle based regardless of chart TF) • 13-Week Peak/Bottom — same idea over a quarter • ADR (Average Daily Range %) and ATR — daily-candle based • U/D Ratio — up-volume vs down-volume • Float % • Distance vs Daily SMA and Distance vs Weekly SMA — both shown simultaneously, regardless of chart timeframe • Relative Volume (RVol) • % above Low-of-Day (intraday session low; bar low on daily+) FUNDAMENTALS TABLE Last four quarters (with three more held internally for YoY math) of: • EPS with YoY and QoQ % change • Sales (auto-scaled units) with YoY and QoQ % change • OPM% (Operating Margin = Operating Income / Revenue) with YoY and QoQ • Per-quarter P/E (annualised from quarter EPS) Plus an optional row showing the next two estimated quarters (EPS estimates, YoY/QoQ). Header row showing Market Cap, Free-Float Mkt Cap, ROE and TTM P/E. Vertical (full grid) or horizontal (transposed headband) layout. IPO-FRIENDLY Lookback windows adapt to available history. A newly listed symbol with fewer than 52 weeks (or 13 weeks, 50 bars for RVol, 20 days for ADR, etc.) still gets values computed over whatever data exists, instead of showing "N/A". CUSTOMIZATION • Every section independently togglable. • Per-table position (6 anchor points), text size, layout (vertical / horizontal headband), border & frame width. • Per-column text alignment (Left / Center / Right) for the dashboard. • Configurable blank spacer rows at the top of each table — useful when TradingView's hover controls overlap the table. • Fully themable colors (positive / negative / neutral, backgrounds, borders). NOTES • Sector, Industry, Market Cap, ROE, Float, EPS, Sales, Operating Income and EPS estimates are sourced from TradingView's request.financial / request.earnings and may be unavailable for some symbols or exchanges. • Currency conversion uses FX_IDC daily rates. • Built in Pine Script v6.
Indicatore
di atticsalt