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US Economic Events [rko]US Economic Events Marks major US economic releases directly on the chart with vertical dashed lines and labeled callouts — no dashboard clutter, no manual calendar imports. How it works Events are detected two ways: Calendar rules — NFP/Unemployment Rate (first Friday of month, 8:30 ET), Initial Jobless Claims (every Thursday, 8:30 ET), and ISM Manufacturing PMI (first business day of month, 10:00 ET) are computed from date math alone, requiring no external data Hybrid detection — CPI, PPI, GDP, and Retail Sales use request.economic() to identify the release day, then snap the marker to the known BLS release time (8:30 ET), giving correct intraday bar placement rather than midnight Works on any timeframe Daily and above: marks the correct day Intraday (30m, 15m, 5m, 1m…): marks the exact bar containing the release time Today's Dashboard A compact table (position configurable) shows today's scheduled events with a live countdown for upcoming releases and a ✓ confirmation once they've fired. Disappears on non-event days. Events included Nonfarm Payrolls (NFP) Unemployment Rate (UR) ISM Manufacturing PMI Consumer Price Index (CPI) Producer Price Index (PPI) Gross Domestic Product (GDP) Retail Sales Initial Jobless Claims (optional) Settings Each event can be toggled individually. Label size, line transparency, and dashboard position are all adjustable
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của robertko
Stock: Snowflake Analysis [invincible3]Stock: Snowflake Analysis Stock: Snowflake Analysis is a visual fundamental-analysis radar indicator designed for stock traders and investors who want a quick, structured view of a company’s financial quality. The indicator converts multiple TradingView financial metrics into normalized 0–100 scores and displays them as a six-axis snowflake/radar chart directly on the price chart. The purpose of the indicator is to help users quickly evaluate a stock from several key perspectives: dividend quality, growth, inventory efficiency, financial stability, valuation, and future outlook. Each metric is transformed into a score, then plotted visually so the user can immediately see where a company is strong or weak. The current script uses six core categories: Dividend, Growth, Inventory, Stability, Valuation, and Future, and it draws the final score as a radar/snowflake polygon. Main Concept The indicator works by pulling available stock financial data from TradingView using request.financial(). These values are then normalized into scores from 0 to 100. A score near 100 means the company is strong in that category. A score near 50 means the company is neutral or average. A score near 0 means the company is weak in that category. The final snowflake shape gives a quick visual overview: A large, balanced snowflake suggests broad financial strength. A small or uneven snowflake suggests weakness or imbalance. A stretched shape shows that the company is strong in some areas but weak in others. Six Core Financial Categories 1. Dividend Score The Dividend axis evaluates whether the stock provides attractive and sustainable shareholder distributions. It uses: Dividend yield Dividend payout ratio The dividend yield is scored positively when it is higher, while the payout ratio is scored negatively if it becomes too high. A very high payout ratio may suggest that the dividend is less sustainable. A strong Dividend score usually means the company has a decent yield without excessive payout pressure. 2. Growth Score The Growth axis measures how well the company is expanding. It uses: Revenue growth EPS growth Gross margin The score rewards companies with improving sales, stronger earnings, and healthier gross margins. A company with strong revenue growth but weak margins may receive a mixed score, while a company with both growth and profitability receives a stronger score. This category is especially useful for identifying companies with improving business momentum. 3. Inventory Score The Inventory axis evaluates operating efficiency, especially for businesses where inventory management matters. It uses: Inventory turnover Inventory-to-revenue ratio Higher inventory turnover is considered positive because it suggests that the company sells its inventory efficiently. A lower inventory-to-revenue ratio is also considered positive because it indicates that inventory is not becoming too heavy relative to sales. This score is more useful for retail, manufacturing, consumer goods, and industrial companies. It is less meaningful for banks, software companies, or service businesses. 4. Stability Score The Stability axis measures balance-sheet strength. It uses: Current ratio Debt-to-equity ratio A higher current ratio generally suggests better short-term liquidity, while a lower debt-to-equity ratio suggests lower financial leverage. A strong Stability score means the company appears financially safer and less dependent on debt. A weak score may suggest liquidity pressure or excessive leverage. 5. Valuation Score The Valuation axis evaluates whether the stock appears reasonably priced relative to earnings. It uses: Earnings yield Price-to-earnings ratio Earnings yield is calculated as: Earnings Yield = EPS / Price × 100 A higher earnings yield is better. A lower P/E ratio is also better, up to a reasonable threshold. This category rewards companies that generate meaningful earnings relative to their current share price. A high Valuation score may suggest the stock is cheaper relative to earnings, while a low score may suggest the stock is expensive or earnings are weak. 6. Future Score The Future axis attempts to measure forward-looking quality. It uses: Sustainable growth rate Forward P/E ratio A higher sustainable growth rate improves the score, while a very high forward P/E lowers the score. This category tries to balance future growth potential with future valuation risk. A strong Future score suggests the stock may have a reasonable combination of expected growth and forward valuation. Final Score The center score is calculated as the average of the six category scores: Final Score = Average of Dividend, Growth, Inventory, Stability, Valuation, and Future This final score is displayed in the center of the radar chart. The score color changes dynamically using the indicator’s heatmap color theme: Low scores appear in purple tones. Mid scores appear in teal tones. High scores appear in green/yellow tones. This makes it easier to visually identify weak, neutral, and strong readings. Visual Design The indicator displays a clean snowflake/radar chart directly on the price chart. Each axis represents one financial category. Visual components include: Hexagonal grid rings Axis lines Category labels Score markers Filled snowflake polygon Dynamic color based on total score Optional historical comparison snowflake The snowflake is placed to the right side of the latest bar using the Right Offset setting, so it does not cover the current candles. Historical Comparison The indicator includes an optional Historical Snowflake feature. When enabled, it compares the current snowflake with a previous score profile based on the selected historical lookback. For example: Historical Lookback = 252 bars This can be used as an approximate one-year comparison on daily charts. The historical snowflake helps users see whether the company’s fundamental profile has improved, weakened, or remained stable over time. Stock-Only Protection This indicator is designed for stock symbols only because financial metrics such as dividend yield, payout ratio, EPS, revenue growth, and debt-to-equity are stock/company-specific data. For non-stock symbols such as: Gold Forex pairs Crypto Indices Commodities the script does not draw the snowflake. Instead, it displays a warning message explaining that financial metrics are not available for those instruments. This prevents misleading neutral scores from appearing on symbols where company financial data does not exist. Input Settings Radar Layout Right Offset Bars Moves the snowflake to the right side of the latest candle. Scale Lookback Controls the price range used to vertically scale the snowflake on the chart. This does not affect the financial scores. Width Controls the horizontal size of the radar. Height % Controls the vertical size of the radar relative to the recent price range. Label Distance Controls how far the category labels are placed from the radar center. Visual Styling Show Grid Rings Turns the hexagonal background rings on or off. Show Axis Lines Turns the center-to-axis guide lines on or off. Show Axis Labels Shows or hides the category names and scores. Show Score Markers Shows or hides circular markers at each snowflake point. Dynamic Colors When enabled, the snowflake color changes based on the total average score. Marker Size Controls the size of the score markers. Historical Comparison Show Historical Snowflake Displays a previous score profile for comparison. Historical Lookback Bars Defines how far back the comparison should be calculated. How to Interpret the Snowflake A strong stock usually shows: A broad and balanced snowflake High Growth and Stability scores Reasonable Valuation score Improving Future score A risky or weak stock may show: A compressed snowflake Very low Stability Weak Growth Expensive Valuation Poor Future score An unbalanced company may show a stretched snowflake. For example, a high Growth score but low Stability and Valuation scores may indicate a fast-growing but financially risky or expensive company. Best Use Cases This indicator is useful for: Quick stock screening Comparing companies visually Identifying financial strengths and weaknesses Monitoring changes in a company’s financial profile Combining fundamentals with technical analysis Long-term investing and swing-trading research It is especially helpful when comparing stocks within the same sector. Important Notes The indicator uses a generic scoring model. Different sectors naturally have different financial structures. For example: Banks do not use inventory metrics in the same way as retail companies. Utilities often carry higher debt. Technology companies may have low dividend scores but strong growth. Retail and manufacturing companies rely more heavily on inventory efficiency. Because of this, the scores should be interpreted with sector context. Limitations This indicator should not be used as a standalone buy or sell signal. Financial data can be delayed, unavailable, or inconsistent depending on the symbol and exchange. When a financial metric is missing, the script uses a neutral internal fallback value to keep the radar visually stable. The indicator is best used as a summary and comparison tool, not as a complete valuation model. Disclaimer Snowflake Analysis is an educational and research tool. It is not financial advice. Users should always combine this indicator with their own analysis, sector research, risk management, and broader market context before making trading or investment decisions.
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của invincible3
[3Commas] JUP Grid - Long IndicatorJUP Grid — Long Indicator 🔷 What it does: This is a signal-only indicator that mirrors a price-grid long workflow on JUP / USDT between two fixed bounds. It tracks up to 27 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 JUP 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 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. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history. 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 JUP 15m: Default bounds, level count, and step size are set against JUP's recent observed range. The 27-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range. 🔷 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 (0.1805 / 0.1388) was set against JUP's recent 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 ~4-month sample (865 closed trades, 57.34% win rate, 11.60% max drawdown, profit factor 1.555, +18.66% net return), use the companion strategy version on identical parameters. The 865-trade sample is well above the ~100-trade floor for statistical relevance. 🔷 How to Use It: 🔸 Add the indicator to a JUP / USDT 15m chart. 🔸 Set the High and Low bounds to a range you expect JUP 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_JUP). 🔸 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 27, 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 (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL). 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.
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của 3Commas
[3Commas] JUP Grid Bot - Long StrategyJUP Grid Bot — Long Strategy 🔷 What it does: This is a long-only price-grid strategy that harvests volatility on JUP / 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 27 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 3.70% of equity at default settings, comfortably inside the conventional 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 JUP 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 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 27 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. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart. - Calibrated for JUP 15m: Default bounds, level count, and step size are set against JUP's recent observed range. The 27-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range. 🔷 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 (0.1805 / 0.1388) was set against JUP's recent observed range; update both whenever the regime changes. Capital Deployment & Drawdown: The default Investment of 10,000 USDT equals 100% of starting capital — high-conviction setting that assumes the configured range holds. Per-slot risk is moderate (~3.70% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further. 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 ~370 USDT per slot, 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 ~1.0% step is deliberately wider than a tight scalp grid so each round-trip comfortably clears the taker fee. The default commission (0.06% per trade) should be matched to your exchange's actual fees; any mismatch will materially shift the results. 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: JUPUSDT — strategy is portable to any JUP / USDT pair. Timeframe: 15M Test Period: February 6, 2026 — June 6, 2026 (~4 months). Initial Capital: 10,000 USDT. Total Investment: 10,000 USDT (100% of capital, high-conviction setting). Order Size per Slot: Investment / 27 ≈ 370 USDT (~3.70% of equity). Commission: 0.06% per trade. Slippage: 3 ticks. Margin for Long Positions: 100%. Indicator Settings: Default Configuration. Grid Bounds: High 0.1805 / Low 0.1388 (range −23.10%). Grid Levels: 27 (Geometric spacing, ~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: +1,866.03 USDT (+18.66%) Max Equity Drawdown: 1,244.70 USDT (11.60%) Total Closed Trades: 865 Percent Profitable: 57.34% (496 / 865) Profit Factor: 1.555 🔷 How to Use It: 🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect JUP 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 — this configuration produced 865 closed trades over the test window, well above the ~100-trade floor for statistical relevance. 🔸 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 27, 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 (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit). 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.
Chiến lược
của 3Commas
24H Vol & MTF Volatility24H Vol & MTF Volatility Dashboard The 24H Vol & MTF Volatility indicator is a clean, compact dashboard that acts as a real-time health check for any asset. Instead of cluttering your screen with multiple indicators and moving averages, it displays vital volume, volatility, and trend performance statistics inside one simple table. Key Features 24-Hour Volume: Shows exactly how much money (in USD) has traded hands over the last 24 hours. It updates continuously, giving you an accurate picture of the asset's current liquidity. Multi-Timeframe Volatility: Instantly see how much the price is stretching on a Daily, Weekly, and Monthly basis. This helps you quickly gauge if the market is unusually quiet or experiencing high-risk, volatile spikes. Live Price Tracking: Tracks both Daily and Monthly price changes. The numbers automatically flash Green when the price is up and Red when the price is down. How to Customize Your Dashboard This indicator is built to be modular, meaning you can adjust it to fit your exact trading layout. 1. Choose Your Theme Matches your TradingView charts perfectly with a quick dropdown menu: Dark Mode: Deep, dark backgrounds with bright text—perfect for night trading. Light Mode: Clean, crisp backgrounds with dark text—ideal for high-visibility day trading. 2. Clean, Auto-Resizing Layout Don't care about monthly stats? Only want to see 24H volume? No problem. In the settings menu, you can turn individual rows on or off. When you hide a row, the table automatically shrinks and cleans itself up, ensuring there are no ugly blank spaces left on your chart. 3. Place It Anywhere You can scale the text size (Tiny, Small, Normal, Large) and snap the table to any of the 9 positions on your chart (such as the bottom-left, top-right, or dead center) so it never blocks your price action.
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của Starbots
[3Commas] AMZN RSI Oversold Doubling DCA - Long IndicatorAMZN RSI Oversold Doubling DCA — Long Indicator 🔷 What it does: This is a signal-only indicator that mirrors an AMZN dip-buying workflow with an aggressive doubling-martingale safety ladder. It tracks one virtual long position at a time, opened only when AMZN prints a deep oversold reading on 4-hour RSI. Five safety orders fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes doubling on every rung. Exit is a fixed 3% Take Profit from average entry. The indicator computes running average entry, deployed capital, open PnL, and lifetime realized PnL — all derived from honest fill-by-fill bookkeeping. Every event emits a webhook-ready JSON alert payload for direct DCA Bot consumption. - Selective oversold entry: 4h RSI < 28. - Non-uniform fixed-deviation safety ladder: −2%, −5%, −9.5%, −16%, −25% from base entry. - Doubling safety-order sizes: 1k / 2k / 4k / 8k / 16k USDT from a $500 base. - Tight 3% Take Profit from the averaged-down entry — quick deal close once price stabilizes. - Honest virtual bookkeeping: Open PnL and lifetime Total PnL displayed live on the chart. 🔷 Who is it for: - Swing traders running a DCA Bot on AMZN who want to buy deep oversold dips. - Bot operators who want a chart-driven signal source that emits per-event JSON ready for a DCA Bot. - Traders who can absorb a doubling martingale up to ~31.5% of equity deployed per trade in exchange for a high deal-close rate. - Operators tracking staged position management — entry, up to five staged safety fills, and a single exit — directly on the chart without the strategy-tester overhead. 🔷 How does it work: Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips. Base Entry: When the gate is satisfied, the indicator marks a virtual long entry, captures the base entry price, and seeds the cost-basis ledger with the configured base order size (default 500 USDT). Safety Order Ladder (Fixed Deviations, Doubling Sizes): After base fill, the indicator monitors price deviation against the position. Each safety order has its own fixed deviation from base entry — not a cumulative ladder. AO1 fills at close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. USDT sizes double from a 1,000 first AO: 1,000 / 2,000 / 4,000 / 8,000 / 16,000. Each fill updates the running cost-basis and dispatches its own webhook payload. Honest Virtual Bookkeeping: Total cost and qty are updated incrementally on every event, so the avg entry, deployed capital, Open PnL, and Total PnL displayed in the status table reflect the actual broker-equivalent position state — no shortcut from base entry, no synthetic averaging. Lifetime Total PnL: When the position closes for profit, the realized PnL from that cycle accumulates into a lifetime counter. The status table displays both Open PnL (current cycle, resets on exit) and Total PnL (lifetime, persists across the chart history) — giving traders a real-time read on cumulative performance without a backtest engine. Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the close webhook fires, realized PnL accumulates, and the virtual position resets. 🔷 Why it's unique: - Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip. - Non-Uniform Fixed-Deviation Ladder: Most published DCA tools use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves and the lowest rung sits a full 25% below base. - Doubling Martingale: 1 / 2 / 4 / 8 / 16 / 32 size progression scales position capital exponentially if the position runs adverse, but is hard-bounded by the 5-rung ladder. - Lifetime PnL Tracking: Open PnL and Total PnL are displayed live on the chart — Open resets per cycle, Total persists across the entire chart history. The indicator gives strategy-tester-equivalent insight without running a backtest. - Per-Event Webhook Ledger: Up to seven discrete events per cycle (entry + 5 AO fills + TP), each with its own JSON alert payload. One TradingView alert with "Any alert() function call" drives a DCA Bot end-to-end. 🔷 Considerations Before Using the Indicator: Sample Size: The companion strategy's backtest produced 22 closed trades — below the ≥100 floor typically used for statistical confidence. The 90.91% win rate and high profit factor reflect favorable conditions over the test window and the averaging mechanic, not a deterministic edge. Treat them as indicative of how the ladder behaves, not a forward-performance guarantee. Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches 31,500 USDT = ~31.5% of the default reference equity. The doubling martingale amplifies both upside on recovery and risk if the lower bound breaks. Match the indicator's per-AO allocation to your bot's configuration to keep the avg-entry display honest. No Stop Loss: There is no exit signal on adverse moves below AO5 (−25% from base). If price keeps falling, the virtual position holds unhedged until either price recovers to the 3% TP target or the user intervenes. Risk is structurally capped on the bot side by the bounded position ladder; if a hard exchange-side stop is required, configure it on the bot directly. Martingale Tail Risk: A doubling ladder that bottoms out at −25% is built for mean-reverting moves. A sustained directional collapse below −25% leaves the full virtual position open with no further averaging available — the single largest risk in any martingale DCA. Choose assets and regimes where deep-but-recoverable dips are the norm. Cross Detection Granularity: Entries and AO fills are evaluated on bar close. A bar that spikes through a level and returns within the same bar may be missed by design — this matches realistic polling behavior and avoids over-signaling on intra-bar wicks. Live vs Historical State: The virtual position state 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. Backtesting Note: This is an indicator, not a strategy. There is no built-in P&L tester — but the live Total PnL counter in the status table gives a running approximation. For full metrics over a ~9.4-month sample (22 closed trades, 90.91% win rate, 0.20% max drawdown, profit factor 21.997, +0.81% net return), use the companion strategy version on identical parameters. 🔷 How to Use It: 🔸 Add the indicator to an AMZN / USDT chart on 4h. 🔸 Review the RSI entry level, the five AO deviations and sizes, and the Take Profit percentage. Defaults are calibrated for AMZN 4h — recalibrate when the asset's volatility regime shifts. 🔸 Set Base Order Size and AO sizes to match your bot's configuration (the indicator's avg-entry display becomes meaningful when virtual sizing matches real sizing). 🔸 In the DCA Bot Webhook group, paste the Bot ID, Email Token, and Pair (QUOTE_BASE format, e.g., USDT_AMZN). 🔸 Create an alert on the indicator with "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for entry, each safety order, and TP exit — formatted for direct DCA Bot consumption. 🔷 INDICATOR SETTINGS Base Order Size (USDT): Virtual order size for the avg-entry / open-PnL computation. AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5. AO1–AO5 Size (USDT): Virtual USDT amount of each safety order. Doubles at each rung by default. RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry. Take Profit (%): Fixed distance above the running average entry where the virtual long closes. Active Window: Optional date filter — when ON, the indicator only fires signals between From and To dates. DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload. Visualization: Toggle AO Ladder, Avg / TP plot lines, 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.
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của 3Commas
[3Commas] AMZN RSI Oversold Doubling DCA - Long StrategyAMZN RSI Oversold Doubling DCA — Long Strategy 🔷 What it does: This is a long-only DCA strategy with a selective oversold entry and an aggressive martingale safety-order ladder. A long entry opens only when the 4-hour RSI falls below 28 (deep oversold). Five safety orders then fire at fixed deviations from base entry (−2%, −5%, −9.5%, −16%, −25%) with sizes doubling on every rung ($1,000 → $2,000 → $4,000 → $8,000 → $16,000). Exit is a fixed 3% Take Profit from average entry. No trailing, no Stop Loss. - Single base order with up to five safety orders on a non-uniform fixed-deviation ladder reaching −25% below base. - Aggressive size doubling: 1 / 2 / 4 / 8 / 16 / 32 unit progression from a $500 base. - Tight 3% Take Profit from average entry — the averaging ladder pulls the average down so a small recovery closes the deal in profit. - Single entry filter: deeply oversold 4h RSI — a clean, selective trigger. - Every entry, safety order, and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption. 🔷 Who is it for: - Swing traders looking for long exposure on AMZN when it prints deep oversold readings on the 4h. - DCA-style traders who want a disciplined averaging ladder that only deepens on serious adverse moves. - Bot operators who want to drive a DCA Bot via webhook with per-event JSON payloads tagged for each base / safety order / exit action. - Traders comfortable with a doubling martingale ladder deploying up to ~31.5% of equity per trade in exchange for a high deal-close rate. 🔷 How does it work: Entry Filter: A 4-hour RSI(14) is sampled via request.security with lookahead disabled (no repaint). The entry gate fires when RSI is below 28 (deep oversold) at host-bar close, filtering out shallow dips. Base Order: Sized at 500 USDT default (0.5% of 100k capital). Configurable as Market (default) or Limit at the bar's close. Safety Order Ladder (Fixed Deviations, Doubling Sizes): After the base fill, the strategy monitors price deviation against the base entry. Each safety order has its own fixed deviation from base — not a cumulative ladder. AO1 fires when close ≤ base × 0.98 (−2%); AO2 at −5%; AO3 at −9.5%; AO4 at −16%; AO5 at −25%. Sizes double from a 1,000 USDT first AO: 1,000 / 2,000 / 4,000 / 8,000 / 16,000. Exit: A fixed 3% Take Profit above the running average entry. When close hits the TP target, the position closes at market. No trailing, no Stop Loss. Why the Ladder Works: Each doubling safety order weights the average entry heavily toward the lowest fills. After several rungs fill, the average sits well below base, so a modest 3% bounce off the lows is enough to close the whole deal in profit — the core mechanic of a doubling DCA bot. 🔷 Why it's unique: - Selective Oversold Entry: The deal opens only on a deep 4h RSI < 28 print, so capital is committed at genuinely stretched conditions rather than on every dip. - Non-Uniform Fixed-Deviation Ladder: Most published DCAs use formula-based ladders (step × multiplier). This one exposes each AO deviation as a direct input, allowing an asymmetric ladder (2% / 5% / 9.5% / 16% / 25%) where deeper safety orders trigger only on serious adverse moves and the lowest rung sits a full 25% below base. - Doubling Martingale: 1 / 2 / 4 / 8 / 16 / 32 size progression is more aggressive than typical 1.05–1.5× compounding. Capital deployed scales exponentially if the position runs adverse, but is hard-bounded by the 5-rung ladder. - Tight Recovery Target: The 3% Take Profit on the averaged-down entry closes deals quickly once price stabilizes, keeping the win rate high and holding times short relative to the depth of the ladder. - DCA Bot Integration: Every event (base, AO 1–5, exit) emits a fully-formed JSON alert payload. Connect one alert to a DCA Bot's webhook URL and the strategy drives the bot end-to-end without any glue layer. 🔷 Considerations Before Using the Strategy: Sample Size: The backtest produced 22 closed trades — below the ≥100 floor typically used for statistical confidence. The 90.91% win rate and high profit factor reflect favorable conditions over the test window and the averaging mechanic, not a deterministic edge. Treat these numbers as indicative of how the ladder behaves, not as a forward-performance guarantee. Extend the test window or run the strategy across multiple assets to build a larger sample before committing capital. Aggressive Capital Deployment: If all five safety orders fill, total deployed capital reaches $31,500 = ~31.5% of default 100k equity — above TradingView's typical 5–10% per-trade band. Size the base and AO inputs down to dial per-trade risk into a safer range. The doubling martingale amplifies both upside (when price recovers) and risk (if the lower bound breaks). No Stop Loss: There is no exit on adverse moves below the −25% AO5. If price keeps falling below the lowest safety order, the position holds unhedged until either price recovers to the 3% TP target or the user intervenes. The structural risk cap is the bounded 5-rung position ladder; if a hard exchange-side stop is required, layer it on the bot directly. Martingale Tail Risk: A doubling ladder that bottoms out at −25% is built for mean-reverting moves. A sustained directional collapse below −25% leaves the full position open with no further averaging available — the single largest risk in any martingale DCA. Choose assets and regimes where deep-but-recoverable dips are the norm. Commission Calibration: The default 0.06% commission is calibrated for Bitget perpetual taker conditions. If running on a different venue, update the commission input accordingly. 🔷 STRATEGY PROPERTIES Symbol: BITGET:AMZNUSDT.P (Perpetual) — portable to any AMZN / USDT pair. Timeframe: 4H Test Period: August 26, 2025 — June 5, 2026 (~9.4 months). Initial Capital: 100,000 USDT. Order Size per Trade: 0.5% of Capital base + 5 safety orders with size doubling. Max Capital Deployed: $31,500 per trade (~31.5% of equity). Commission: 0.06% per trade. Slippage: 3 ticks. Margin for Long Positions: 100%. Indicator Settings: Default Configuration. Base Order: 500 USDT, Market by default (Limit toggle available). Take Profit: 3.0% above average entry (no trailing). Stop Loss: None — bounded position size is the structural risk cap. Entry Filter: 4h RSI(14) Less Than 28. Safety Orders: 5 with fixed deviations −2% / −5% / −9.5% / −16% / −25% from base entry; sizes 1k / 2k / 4k / 8k / 16k USDT. Strategy: Long Only. 🔷 STRATEGY RESULTS ⚠️ Remember, past results do not guarantee future performance. Net Profit: +807.71 USDT (+0.81%) Max Equity Drawdown: 199.15 USDT (0.20%) Total Closed Trades: 22 Percent Profitable: 90.91% (20 / 22) Profit Factor: 21.997 🔷 How to Use It: 🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, the five AO deviations and sizes, the RSI entry level, and the Take Profit percentage. Defaults are calibrated for AMZN 4h — recalibrate when the asset's volatility regime shifts. 🔸 Results Review: The backtest produced 22 closed trades — a modest sample. Treat the metrics as indicative of the ladder's behavior, not a forward-performance guarantee. Confirm that the trade frequency and the doubling ladder's max deployment fit your risk tolerance before deploying capital. 🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for entry, each safety order, and exit — formatted for direct DCA Bot consumption. 🔷 INDICATOR SETTINGS Base Order Size (USDT): USDT amount opened on the long entry. Use LIMIT for Base: Toggle between Market (default) and Limit at bar close. AO1–AO5 Deviation (%): Fixed distance from base entry where each safety order becomes eligible. Non-uniform by design, reaching −25% at AO5. AO1–AO5 Size (USDT): USDT amount of each safety order. Doubles at each rung by default. RSI Timeframe / Length / Less Than: 4h RSI filter for the base entry. Take Profit (%): Fixed distance above average entry where the long closes for profit. DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload. Visualization: Toggle AO Ladder, Avg / TP plot lines, 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.
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của 3Commas
Session Lines & Kill ZonesOptimized for Inner Circle Trader (ICT) and Smart Money Concepts (SMC) traders, this indicator automatically highlights critical intraday market sessions and algorithmic "Kill Zones" directly on your chart. Unlike standard session clocks that clutter your screens, this script features custom-engineered vertical transition lines and pixel-perfect background shading designed **never** to warp or break your chart's price scale. --- 🔑 Key Features 🌐 True GMT-Based Calculations: Zero reliance on your local broker time. Input your desired GMT offset to seamlessly align your sessions regardless of your data feed. 🕒 Comprehensive Kill Zone Coverage: Includes pre-configured, industry-standard tracking for: Asian Session / Kill Zone London Open Kill Zone New York Open Kill Zone London / New York Overlap (Silver Bullet/Macro windows) ⚙️ Fully Customizable Extra Session: An independent, fully editable custom session block tailored for tracking specific local market opens, equity hours, or personal macro periods. 📅 Daily Start Line Indicator: Clean, unobtrusive vertical separators marking the exact start of each new trading day. 📐 Clean Scaling Technology: Custom written using localized bar anchors. Your price scale remains 100% accurate, allowing you to compress, expand, and read price action smoothly without squeezed candles. --- 🎨 Visual & Control Settings * **Timeframe Filtering:** Keep your higher timeframes clean! Set an automatic upper boundary rule (e.g., only show on 1-hour timeframes or lower) to auto-hide the sessions when zooming out to daily or weekly macro views. * **Toggleable Labels & Borders:** Fully customize your aesthetic. Individually toggle background shading, outer boundary line styles (Solid, Dashed, Dotted), and session floating labels to match your chart's theme. --- 🚀 How to Use It 1. Judicious Multi-accounting: Use the background clouds to identify when liquidity is building up (Asian Range) and when algorithmic manipulation typically occurs (London/NY Sweeps). 2. Time-of-Day Execution: Ensure your setups align with high-volatility session boundaries marked clearly by the vertical transition lines. Built entirely on the latest Pine Script v6 architecture for peak execution speed and cross-device display stability.
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của saqlainmujtaba
[3Commas] POL Grid Long Indicator POL Grid — Long Indicator 🔷 What it does: This is a signal-only indicator that mirrors a price-grid long workflow on POL / USDT between two fixed bounds. It tracks up to 36 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 POL 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 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. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history. 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 POL 15m: Default bounds, level count, and step size are set against POL's recent observed range. The 36-level geometric ladder gives roughly 1.0% per step — wide enough to clear taker fees on each round-trip, granular enough to keep catching 15m swings inside the range. 🔷 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 (0.11847 / 0.08376) was set against POL's recent 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 ~3.9-month sample (800 closed trades, 53.25% win rate, 12.94% max drawdown, profit factor 1.315, +8.83% net return), use the companion strategy version on identical parameters. The 800-trade sample is well above the ~100-trade floor for statistical relevance. 🔷 How to Use It: 🔸 Add the indicator to a POL / USDT 15m chart. 🔸 Set the High and Low bounds to a range you expect POL 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_POL). 🔸 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 36, 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 (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL). 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.
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của 3Commas
Lucky NewsLucky News Never get caught off guard by high-impact news again. LUCKY NEWS is a minimal, no-clutter news tracker that lives right on your chart. Built for traders who check Forex Factory every morning — just enter your red folder events for the day, toggle them on, and a clean table shows exactly what's coming and when. No lines on your chart, no noise, just the information you need. --- What It Does - **8 customizable event slots** — enter currency, event name, and time for each red news release - **Clean table display** — shows CUR | EVENT | TIME in a sleek dark overlay anywhere on your chart - **Zero chart clutter** — table only, nothing drawn on your candles or price action - **Stays visible all day** — events don't disappear or fade after they pass - **Works in your timezone** — times use your chart's timezone setting automatically --- How To Use 1. Check (www.forexfactory.com) each morning for red folder (high impact) events 2. Open Settings → enable each event slot and fill in the hour, minute, currency, and event name 3. Toggle unused slots off 4. The table updates instantly on your chart — no refresh needed --- Example Setup | CUR | EVENT | TIME | |-----|-------|------| | USD | FOMC | 11:00 | | USD | CPI | 08:30 | --- Why I Built This As a futures scalper I need to know exactly when red news hits so I can stay out or be ready. I wanted something dead simple — no automation, no APIs, just a fast manual input that keeps my news front and center while I trade. *Stay informed. Trade prepared. Stay lucky.* — LuckyJo
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của LUCKYJOTRADES
G8 Single Currency Rate Yield Ampel StableG8 Single Currency Rate/Yield Traffic Light G8 Single Currency Rate/Yield Traffic Light is a macro-driven FX bias indicator designed to visualize whether the current interest-rate and yield environment supports a bullish, neutral, or bearish bias for a selected G8 currency. The indicator is built around a simple but powerful macro principle: Rising yields usually support a currency, while falling yields usually weaken it. Rising short-rate futures usually imply lower expected policy rates and are therefore interpreted as bearish for the currency. Falling short-rate futures imply higher expected policy rates and are interpreted as bullish. This tool is not designed as a standalone buy or sell signal. It is intended to act as a macro bias filter for FX traders who want to align their trade ideas with the current direction of rates, yields, and currency momentum. Supported Currencies The indicator currently supports the following G8 currencies: USD EUR GBP CHF JPY AUD NZD CAD The selected currency can be changed directly in the settings menu. Core Logic The indicator calculates a score based on four possible components: 1. 2-Year Government Yield The 2-year yield is usually very sensitive to central bank expectations. 2Y yield rising = bullish for the currency 2Y yield falling = bearish for the currency 2. 10-Year Government Yield The 10-year yield reflects longer-term macro conditions, inflation expectations, growth expectations, and term premium. 10Y yield rising = supportive for the currency 10Y yield falling = negative for the currency 3. Short-Rate Futures Short-rate futures are interpreted inversely. Future price rising = lower expected rates = bearish for the currency Future price falling = higher expected rates = bullish for the currency Examples: USD: SOFR future EUR: Euribor future GBP: short-rate / sterling rate future proxy CAD: CORRA future proxy CHF: SARON future proxy AUD/NZD/JPY: rate future proxies depending on TradingView data availability 4. FX Proxy The indicator can also include a currency proxy, such as: DXY for USD EURUSD for EUR GBPUSD for GBP AUDUSD for AUD NZDUSD for NZD USDCHF for CHF USDJPY for JPY USDCAD for CAD For inverted pairs such as USDCHF, USDJPY, and USDCAD, the logic is automatically inverted. Example: USDJPY rising = JPY weakness USDJPY falling = JPY strength Score Interpretation Each active module contributes either: +1 = bullish contribution 0 = neutral / no contribution -1 = bearish contribution The total score is then plotted as a colored histogram. Default interpretation: Score >= +2 = bullish / green Score between -1 and +1 = neutral / yellow Score <= -2 = bearish / red The thresholds can be adjusted in the settings. Traffic Light Colors Green A green signal means that the selected currency currently has positive macro/rate momentum. This may indicate that: Yields are rising Rate futures are falling The FX proxy is confirming currency strength In practical FX analysis, this means the selected currency may be preferred as the stronger side of a currency pair. Yellow A yellow signal means that the picture is mixed or neutral. This may happen when: Short-term yields and long-term yields disagree Rate futures and yields send conflicting signals The FX proxy is not confirming the rate/yield picture In this state, traders may prefer to wait for clearer confirmation or rely more heavily on upcoming catalysts, price structure, or higher-timeframe analysis. Red A red signal means that the selected currency currently has negative macro/rate momentum. This may indicate that: Yields are falling Rate futures are rising The FX proxy confirms currency weakness In practical FX analysis, this means the selected currency may be the weaker side of a currency pair. Example Use Cases EURUSD If the EUR indicator is green and the USD indicator is red, this supports a EURUSD long bias. If the EUR indicator is red and the USD indicator is green, this supports a EURUSD short bias. If both currencies are green or both are red, the relative edge is less clear. GBPJPY If GBP is green and JPY is red, the macro/rate environment supports a GBPJPY long bias. If GBP is red and JPY is green, the macro/rate environment supports a GBPJPY short bias. AUDCAD If AUD is green and CAD is red, the relative rate/yield picture supports AUDCAD long ideas. If AUD is red and CAD is green, AUDCAD short ideas may be favored. Recommended Timeframes The indicator can be used on different timeframes depending on the trader’s style. H1 The H1 timeframe is a good balance between responsiveness and stability. It is useful for intraday bias and short-term macro alignment. Recommended setting: Momentum Length: 8 H4 H4 can be used for a broader daily bias. It filters more noise and is better for traders who want fewer signal changes. Daily The daily timeframe can be used as a structural macro filter for swing trading and weekly FX planning. Recommended Settings For an H1 chart, a balanced default setup is: Momentum Length: 8 2Y Yield: enabled 10Y Yield: enabled Rate Future: enabled if data is available FX Proxy: enabled Long Threshold: +2 Short Threshold: -2 For a cleaner pure macro/rates model, the FX proxy can be disabled. In that case, the indicator focuses only on yields and short-rate futures. Important Notes About Symbols Some short-rate futures may not be available for every user depending on TradingView data access and exchange permissions. If a futures symbol does not load, the indicator should still work because invalid symbols are ignored. In that case, the user can either: disable the Rate Future module, or manually replace the symbol in the settings with a valid TradingView symbol. The most important components are usually the 2-year yield and short-rate future, because they are more directly linked to central bank expectations. What This Indicator Is Designed For This indicator is designed to help traders answer one specific question: Does the current rate and yield environment support strength or weakness in this currency? It can be used as part of a broader FX workflow: 1. Check macro calendar and news catalysts 2. Check the G8 currency traffic lights 3. Compare strong currencies against weak currencies 4. Build a directional bias for selected FX pairs 5. Use price action, volume profile, RSI, TSV, VWAP, or other tools for execution The indicator is best used as a bias filter, not as a direct entry trigger. Limitations This indicator does not predict the future. It does not include: central bank speeches in real time inflation surprises geopolitical risk liquidity shocks positioning extremes full yield curve analysis options market structure relative growth data It should therefore be combined with macro context, event risk, technical structure, and proper risk management. Disclaimer This script is for educational and analytical purposes only. It does not provide financial advice, investment advice, or trading recommendations. All trading decisions are the responsibility of the user. Markets involve risk, and past behavior of rates, yields, or currencies does not guarantee future results.
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của DeltaMB
Session ATR Risk ToolSession ATR Risk Tool ## Overview The Session ATR Risk Tool is a discretionary **risk-management and trade-planning overlay**. It sizes a stop loss from market volatility, projects fixed reward-to-risk targets (1:1, 1:2, 1:3), and draws a standard-deviation ladder so you can see your full trade geometry on the chart before you enter. It also estimates a contract count from a fixed dollar risk, and prints a context table of intraday, daily and weekly volatility. It is built and tuned for Micro E-mini Nasdaq-100 (MNQ) intraday trading, but every parameter is exposed as an input, so it works on any symbol once you set the correct point value. This tool does **not** generate buy/sell signals and makes no claim about win rate or profitability. It is a visualization and planning aid only. ## What makes it different Most reward-to-risk tools place lines a fixed number of ticks or a single ATR away. This tool adds three things in one package: 1. **Two selectable stop engines.** The stop distance can be derived from either the chart-timeframe ATR (small, realistic intraday stops) or from a rolling average of completed *session* ranges (swing-sized stops). You choose which volatility regime sizes your risk. 2. **A standard-deviation ladder denominated in your own stop distance.** Instead of arbitrary fib or price-percent levels, each rung is a multiple (−0.5, 1, 2, 3, 4 by default, all editable) of the exact ATR-based stop distance, projected from entry. One "sd" on the chart always equals one unit of the risk you are actually taking. 3. **A volatility context table.** Intraday ATR, averaged session range, daily ATR(14) and weekly ATR(14) are shown side by side so the chosen stop can be judged against higher-timeframe volatility at a glance. ## How it works - **Session range capture.** The script tracks the high and low of each completed session window (default 09:30–16:00 exchange time) and stores the high-low range. It keeps a rolling buffer of the most recent N sessions (default 10) and averages them to produce a "session ATR" in points. - **Intraday ATR.** A standard ATR of configurable length is calculated on the chart timeframe for scalp-sized stops. - **Stop distance.** `Stop distance = chosen basis × ATR multiplier`, where the basis is either the intraday ATR or the averaged session range. The multiplier lets you tighten or widen the stop. - **Trade geometry.** From the entry price (live price by default, or a fixed price you type in) and the trade direction, the tool places the stop one stop-distance against you, then projects targets at 1×, 2× and 3× the stop distance for clean 1:1 / 1:2 / 1:3 reward-to-risk. - **Standard-deviation ladder.** Each ladder rung is plotted at `entry + direction × stop distance × deviation`, giving an evenly scaled map of where price sits relative to your risk unit. - **Position-size estimate.** Dollar risk per contract = stop distance × point value. Estimated contracts = floor(risk per trade ÷ dollar risk per contract). This is an arithmetic estimate for planning, not an order-routing instruction. - **Higher-timeframe context.** Daily and weekly ATR(14) are pulled from confirmed higher-timeframe bars (non-repainting) for the context table. All levels are drawn as faded horizontal rays anchored to the bar grid, so they stay locked to the candles when you pan or zoom. Drawings rebuild on the most recent bar to keep the chart clean. ## How to use it 1. Add the tool to an intraday chart of the instrument you trade. 2. Set **$ per Point** for your instrument (MNQ = 2.0, NQ = 20.0, MES = 5.0, etc.) and your **Risk per Trade ($)**. 3. Choose your **Stop Basis** — "Intraday ATR" for scalps and intraday entries, "Session Range" for wider, swing-style stops. 4. Adjust the **ATR Multiplier** to set how far the stop sits from entry. As a starting guide, roughly 1.0–2.0× with Intraday ATR on a 1–5 minute chart; if using Session Range, scale the multiplier down (around 0.10–0.20×) because the session range is much larger. 5. Set **Trade Direction** (Long or Short). Leave **Entry Price** at 0 to anchor the levels to live price, or type your actual fill price to lock the geometry in place after entry. 6. Read your plan off the chart: the Stop, the 1:1 / 1:2 / 1:3 targets, the standard-deviation ladder, and the info table showing the stop in points and dollars plus an estimated contract count. ## Inputs - **Session Window / Sessions to Average** — defines the session and how many completed sessions feed the averaged session range. - **Stop Basis / Intraday ATR Length / ATR Multiplier** — select and tune the volatility source for the stop. - **Trade Direction / Entry Price** — direction toggle and optional fixed entry. - **$ per Point / Risk per Trade ($)** — instrument tick value and account risk used for the size estimate. - **SDev Ladder deviations** — the five editable ladder multiples. - **Visual controls** — ray length back/forward, table toggle, and colors for up, down and entry levels. ## Notes and limitations - The contract-count figure is an arithmetic estimate from your inputs. It is not connected to a broker and places no orders. Always confirm size and risk in your own platform. - "Session ATR" here means the averaged high-low **range** of recent sessions, not a true-range calculation; it is intentionally a wider, regime-level measure. - Higher-timeframe ATR values use confirmed bars to avoid repainting. - Reward-to-risk targets are fixed geometric projections; they are not predictions of price reaching those levels. - This script is a planning and visualization tool only. It is not financial advice and does not guarantee any outcome.
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của mayb1dayy
[3Commas] BCH Heikin Ashi RSI Fade - Short Indicator BCH Heikin Ashi RSI Fade — Short Indicator 🔷 What it does: This is the signal-only companion to the BCH Heikin Ashi RSI Fade Short strategy. It tracks a virtual short position and fires webhook-ready alerts on three events — entry, Take Profit, and Stop Loss — without running a backtest engine. A virtual short is opened when the 15-minute Heikin Ashi prints a defined number of consecutive bullish candles AND the long-window RSI is above a soft-bias threshold on the same timeframe. The trade is then closed on a fixed Take Profit OR a fixed Stop Loss; no trailing, no averaging, no discretionary management. - Tracks one virtual short at a time, sized at a configurable base order (default 280 USDT, used only for the on-chart PnL display). - Dual confirmation entry: RSI(100) on 15m > 46 AND 7 consecutive Heikin Ashi bullish candles on 15m. - Hard exit pair: TP at −2.1% from entry, SL at +2.5%. - Every entry and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption. 🔷 Who is it for: - Bot operators who want to drive a DCA Bot configured for one-shot short deals directly from TradingView alerts, without a strategy backtest object on the chart. - Traders who want a clean, mechanical short signal with no averaging and no discretionary management once in trade. - Swing traders looking for systematic short exposure on BCH when local upward thrusts overrun. - Operators who prefer a lightweight signal overlay with a live status table over a full strategy tester. 🔷 How does it work: RSI Bias Filter: A long-window RSI(100) is sampled from the 15-minute timeframe via request.security with lookahead disabled (no repaint). The threshold (default 46) sits just below the midline, so the filter is satisfied during prolonged bullish drift — exactly the regime where fading strength has the highest expectancy. When RSI falls below 46, the bias is considered to have flipped bearish and the indicator stops arming new shorts. Heikin Ashi Streak Trigger: A 15-minute Heikin Ashi stream is sampled in parallel, and the indicator counts the number of consecutive same-direction HA candles using ta.barssince. When the bullish streak reaches the configured length (default 7), the trigger is armed. The default Bullish direction defines the fade-the-strength mode; switching to Bearish converts the logic into a trend-follow short. Entry: When BOTH conditions are true at bar close and no virtual position is open, the indicator records the entry price, computes the TP and SL levels, fires the entry alert, and marks a SHORT label and triangle on the chart. Exit: On each bar close while in position, the indicator checks close against the TP and SL levels. The first level reached closes the virtual short, fires the close alert, marks a TP or SL label, and accumulates realized PnL. This close-based detection matches what a polling bot sees at bar close. 🔷 Why it's unique: - Dual-Signal Confirmation: A smoothed RSI(100) filters the regime bias while Heikin Ashi times the entry. RSI on a 100-bar window changes slowly and Heikin Ashi reacts to the immediate streak, so the two conditions cannot be satisfied by the same short-lived noise — every entry requires alignment of both. - Fade-or-Follow Switch: A single input flips the HA direction filter between Bullish (fade strength, default) and Bearish (follow trend). The same engine handles two opposing signal archetypes. - Live Status Table: An on-chart table shows position status, entry price, TP/SL levels, live RSI and HA streak values, and an entry-armed flag — so the current state of the virtual position is always visible at a glance. - DCA Bot Integration: Each event emits a fully-formed JSON alert payload tagged with the action type, so the indicator can drive a DCA Bot configured for one-shot deals directly through TradingView alerts. 🔷 Considerations Before Using the Indicator: Signal-Only Design: This is an indicator, not a strategy. It does not place orders or run a backtest engine — it tracks a virtual position purely to time alerts and display state. The base order size input is virtual and feeds only the on-chart PnL display; real position sizing happens on the bot. Market & Timeframe: Calibrated for BCHUSDT on the 15-minute timeframe. The RSI-and-Heikin-Ashi combination is portable to other liquid crypto pairs that respect mean-reversion behavior, but the filter thresholds (RSI level, HA streak length) should be reviewed before redeployment. Live shorting requires a margin or perpetual venue. Reference Performance: Because behavior mirrors the companion strategy 1:1, the strategy's backtest is a useful reference. Over a 177-trade backtest on BCHUSDT 15m (November 19, 2025 — June 3, 2026), the matching strategy logic returned +0.88% with a 0.52% maximum equity drawdown, 61.02% of trades profitable (108 / 177), and a profit factor of 1.169. The 177-trade sample is above the ~100-trade floor for statistical relevance. The value proposition is structural risk capping over a meaningful sample, not aggressive alpha. Trending Markets: In strong sustained uptrends, the indicator will continue to arm short entries and will register stop-outs as price grinds higher. This is by design — the logic is positioned for ranges and rotations, not breakouts. The RSI(100) > 46 filter limits exposure to confirmed bullish regimes only, which is where fading has an edge; a regime change to a stronger trend will require manual oversight or a wider Stop Loss. Past Performance: Past results do not guarantee future performance. Always demo-test before deploying live capital, and size as one part of a diversified portfolio. 🔷 How to Use It: 🔸 Adjust Settings: Open the indicator inputs and review the Base Order Size (virtual), the RSI filter (timeframe / length / condition / level), and the Heikin Ashi filter (timeframe / streak length / direction). Defaults are calibrated for BCHUSDT 15m — recalibrate per asset before deploying. 🔸 Fill the Webhook Fields: Enter your DCA Bot's Bot ID, Email Token, and Pair (QUOTE_BASE) into the DCA Bot Webhook inputs. These values are injected into every alert payload. 🔸 Create the alert: Add one alert on the indicator using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field. The indicator will emit JSON payloads for short entry and close — formatted for direct DCA Bot consumption. 🔷 INDICATOR SETTINGS Base Order Size (USDT): Virtual size used only for the status-table / PnL display. Real sizing happens on the bot. RSI Timeframe / Length / Condition / Level: RSI bias filter applied to the host symbol. HA Timeframe / Streak / Direction: Heikin Ashi consecutive-candle trigger. Direction defines fade (Bullish) vs follow (Bearish) mode. Take Profit (%) / Stop Loss (%): Fixed distance exits from entry. DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload. Visualization: Toggle Avg Entry / TP / SL plot lines, fill labels, signal triangles, and the status table (status, entry price, TP/SL levels, live RSI and HA streak, entry-armed flag). 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.
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[3Commas] BCH Heikin Ashi RSI Fade - Short StrategyBCH Heikin Ashi RSI Fade — Short Strategy 🔷 What it does: This is a short-only strategy that fades an extended Heikin Ashi bullish streak, confirmed by a long-window RSI bias filter on the same timeframe. A short entry is opened when the 15-minute Heikin Ashi prints a defined number of consecutive bullish candles AND the smoothed RSI is above a soft-bias threshold — the combination targets exhausted bullish thrusts on BCH that have run far enough to invite a pullback. The exit is a fixed Take Profit OR a fixed Stop Loss; no trailing, no averaging, no second-guessing. - Single base order, sized at 2.8% of equity by default. - Dual confirmation entry: RSI(100) on 15m > 46 AND 7 consecutive Heikin Ashi bullish candles on 15m. - Hard exit pair: TP at −2.1% from average entry, SL at +2.5%. - Every entry and exit emits a webhook-ready JSON alert payload for direct DCA Bot consumption. 🔷 Who is it for: - Swing traders looking for systematic short exposure on BCH when local upward thrusts overrun. - Traders who want a clean, mechanical short setup with no averaging and no discretionary management once in trade. - Bot operators who want to drive a DCA Bot configured for one-shot short deals via webhook. - Risk-conscious operators — at default settings the worst-case per-trade loss is ~0.07% of equity (well inside the 5–10% per-trade risk band). 🔷 How does it work: RSI Bias Filter: A long-window RSI(100) is sampled from the 15-minute timeframe via request.security with lookahead disabled (no repaint). The threshold (default 46) sits just below the midline, so the filter is satisfied during prolonged bullish drift — exactly the regime where fading strength has the highest expectancy. When RSI falls below 46, the bias is considered to have flipped bearish and the strategy stops looking for new shorts. Heikin Ashi Streak Trigger: A 15-minute Heikin Ashi stream is sampled in parallel, and the strategy counts the number of consecutive same-direction HA candles using ta.barssince. When the bullish streak reaches the configured length (default 7), the trigger is armed. The default Bullish direction defines the fade-the-strength mode; switching to Bearish converts the strategy into a trend-follow short. Entry: When BOTH conditions are true at host-bar close, a short position is opened at the base order size. The base order is configurable as Market (default) or Limit at the bar's close. Exit (OCO): Take Profit and Stop Loss are issued as a paired OCO order through strategy.exit. The first level reached closes the position and automatically cancels the other side — no trailing, no partial exits. 🔷 Why it's unique: - Dual-Signal Confirmation: A smoothed RSI(100) filters the regime bias while Heikin Ashi times the entry. RSI on a 100-bar window changes slowly and Heikin Ashi reacts to the immediate streak, so the two conditions cannot be satisfied by the same short-lived noise — every entry requires alignment of both. - Fade-or-Follow Switch: A single input flips the HA direction filter between Bullish (fade strength, default) and Bearish (follow trend). The same engine handles two opposing strategy archetypes. - Bounded Trade Risk: With a single base order and a hard Stop Loss, the maximum loss per trade is exactly base size × SL%. At defaults that is ~7 USDT on 10,000 — structural risk capping without any complex sizing logic. - DCA Bot Integration: Each event emits a fully-formed JSON alert payload tagged with the action type, so the strategy can drive a DCA Bot configured for one-shot deals directly through TradingView alerts. 🔷 Considerations Before Using the Strategy: Market & Timeframe: Calibrated and tested on BCHUSDT 15m. The RSI-and-Heikin-Ashi combination is portable to other liquid crypto pairs that respect mean-reversion behavior, but the filter thresholds (RSI level, HA streak length) should be reviewed before redeployment. Live shorting requires a margin or perpetual venue; the spot chart is used here for signal generation and backtesting. Performance Profile: This is a low-volatility, defensive short. Over the 177-trade backtest the strategy returned +0.88% with a 0.52% maximum equity drawdown — a return-to-DD ratio near 1.7, with a profit factor of 1.169. The value proposition is structural risk capping over a meaningful sample, not aggressive alpha. Size accordingly within a diversified portfolio. Trending Markets: In strong sustained uptrends, the strategy will continue to fire short entries and will incur stop-outs as price grinds higher. This is by design — the strategy is positioned for ranges and rotations, not breakouts. The RSI(100) > 46 filter limits exposure to confirmed bullish regimes only, which is where fading has an edge; a regime change to a stronger trend will require manual oversight or a wider Stop Loss. Sample Size & Parameters: The full-period backtest produced 177 closed trades, above the ~100-trade floor for statistical relevance. If a redeployment on another pair produces fewer than ~100 trades, either extend the period or lower the HA streak length to 5, and re-save the relaxed value as the new default so the publication continues to satisfy the "Default Properties match" rule. Commission & Slippage: Defaults are set to 0.055% commission and 3 ticks slippage, matching the source bot's configured fee rate. Update both inputs to match your exchange's actual fees before relying on the backtest numbers. Past Performance: Past results do not guarantee future performance. Always demo-test before deploying live capital, and size the strategy as one part of a diversified portfolio. 🔷 STRATEGY PROPERTIES Symbol: BINANCE:BCHUSDT — strategy is portable to any BCH / USDT pair (live shorting on a margin or perpetual venue). Timeframe: 15M Test Period: November 19, 2025 — June 3, 2026 (~6.5 months). Initial Capital: 10,000 USDT. Order Size per Trade: 280 USDT (single base order, no averaging). Max Capital Deployed: 280 USDT per trade (~2.8% of equity). Worst-Case Loss per Trade: ~7 USDT (~0.07% of equity). Commission: 0.055% per trade. Slippage: 3 ticks. Margin for Short Positions: 100% (leverage 1x). Indicator Settings: Default Configuration. Base Order: 280 USDT, Market by default (Limit toggle available). Take Profit: 2.1% below average entry (no trailing). Stop Loss: 2.5% above average entry (close trade). RSI Filter: 15m RSI(100) > 46. Heikin Ashi Filter: 15m Heikin Ashi, 7 consecutive bullish candles. Strategy: Short Only. 🔷 STRATEGY RESULTS ⚠️ Remember, past results do not guarantee future performance. Net Profit: +87.53 USDT (+0.88%) Max Equity Drawdown: 52.55 USDT (0.52%) Total Closed Trades: 177 Percent Profitable: 61.02% (108 / 177) Profit Factor: 1.169 🔷 How to Use It: 🔸 Adjust Settings: Open the strategy inputs and review the Base Order Size, RSI filter (timeframe / length / level), and the Heikin Ashi filter (timeframe / streak length / direction). Defaults are calibrated for BCHUSDT 15m — recalibrate per asset before deploying. 🔸 Results Review: Run a full-period backtest and confirm Max Drawdown stays inside your personal risk band. Validate that the closed-trade count is statistically meaningful (≥ 100 is a reasonable floor). Use realistic commission and slippage for your exchange. 🔸 Create alerts to trigger the DCA Bot: Add one alert on the strategy using "Any alert() function call". Paste the DCA Bot's webhook URL into the alert's Webhook field, and fill the Bot ID, Email Token, and Pair inputs on the script. The strategy will emit JSON payloads for short entry and exit — TP, SL, or manual close — formatted for direct DCA Bot consumption. 🔷 INDICATOR SETTINGS Base Order Size (USDT): USDT amount opened on the short entry. Use LIMIT for Base: Toggle between Market (default, more conservative for backtest) and Limit at bar close. RSI Timeframe / Length / Condition / Level: RSI bias filter applied to the host symbol. HA Timeframe / Streak / Direction: Heikin Ashi consecutive-candle trigger. Direction defines fade (Bullish) vs follow (Bearish) mode. Take Profit (%) / Stop Loss (%): Fixed distance exits from average entry. DCA Bot Webhook: Bot ID, Email Token, and Pair fields injected into every alert payload. Visualization: Toggle Avg Entry / TP / SL plot lines, fill labels, status table (status, avg entry, TP/SL levels, live RSI and HA streak, entry-armed flag, cumulative realized net profit). 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.
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của 3Commas
SQB PRO Dashboard [India] - Elite MinerviniHere’s the complete TradingView Pine Script v5 with: * ✅ True Minervini Stage 2 Trend Template * ✅ 50 / 150 / 200 SMA alignment * ✅ Rising 200 SMA * ✅ 52-week high/low filters * ✅ 1-Year Relative Strength vs NIFTY * ✅ RS Rating * ✅ RVOL * ✅ Liquidity Filter (₹10 Cr+ average traded value) * ✅ NR7 * ✅ Inside Bar * ✅ Breakout Detection * ✅ ATR Stop Loss * ✅ Institutional Accumulation Detection * ✅ Quality Score * ✅ Elite Buy Signal * ✅ Dashboard
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của shafibaig_m2
QARAR EGX Market Map + Rolling Wave Pro [Samir Ayman]🚀 QARAR EGX Market Map + Rolling Wave Pro Today, I’m excited to introduce QARAR EGX Market Map + Rolling Wave Pro — a professional market visualization and trend analysis tool built specifically for the Egyptian Stock Exchange. This indicator is designed to provide a complete market overview, combining institutional-style market monitoring with advanced trend analysis in a single dashboard. 📊 EGX30 Market Map The Market Map displays the top 30 EGX companies, ranked by their relative importance within the index. Each cell shows: 🔹 Company Rank 🔹 Stock Ticker 🔹 Daily Percentage Change Using a professional heatmap color system inspired by leading market platforms such as: • Bloomberg • Finviz • StockCharts This allows traders and investors to instantly identify: 🟢 Strong sectors and leading stocks 🔴 Weak areas under selling pressure ⚪ Neutral market zones All within seconds. 🌊 Rolling Wave Pro Rolling Wave Pro is a custom trend engine developed to simplify trend analysis while maintaining institutional-level clarity. Key Features: ✔ Smooth Adaptive Trend Wave ✔ Dynamic Color Gradient System ✔ Trend Strength Visualization ✔ ATR-Based Momentum Analysis ✔ Market Speed Detection (Fast / Slow) ✔ Advanced Trend Dashboard Instead of stacking multiple indicators on your chart, Rolling Wave Pro delivers: ✅ Trend Direction ✅ Trend Strength ✅ Trend Speed ✅ Market Context Inside one clean and professional framework. 🎯 Who Is This Indicator For? ✔ Swing Traders ✔ Position Traders ✔ Long-Term Investors ✔ EGX30 Traders ✔ Traders looking for institutional-style market analysis 💡 How To Use It Step 1 Monitor the Market Map to understand where money is flowing inside the market. Step 2 Identify stocks showing relative strength compared to the broader market. Step 3 Use Rolling Wave Pro to evaluate: • Trend Direction • Momentum Strength • Continuation Potential • Pullback Opportunities Step 4 Combine stock strength with overall market conditions to make higher-quality trading and investment decisions. 🔥 What Makes It Different? Unlike traditional indicators that focus only on a single stock, QARAR EGX Market Map + Rolling Wave Pro combines: 📈 Market Breadth Analysis 📈 Relative Strength Monitoring 📈 Trend Structure Visualization 📈 Institutional Heatmap Technology Giving traders a broader perspective before making decisions. QARAR Smart Analysis. Better Decision. #QARAR #EGX #EGX30 #EgyptianStockMarket #TradingView #MarketMap #Heatmap #SwingTrading #Investing #Stocks #TechnicalAnalysis #StockMarket #MarketIntelligence Developed as part of the QARAR Market Intelligence ecosystem to provide institutional-grade market analysis for Egyptian equities.
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của engr_samirayman
BNB Grid - Long IndicatorBNB Grid — Long Indicator 🔷 What it does: This is a signal-only indicator that mirrors a price-grid long workflow on BNB / USDT between two fixed bounds. It tracks up to 17 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 BNB 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 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. The table also accumulates the realized PnL from every closed slot (the exact round-trip profit between adjacent levels), so it shows how much the grid has actually earned over the chart history. 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 BNB 15m: Default bounds, level count, and step size are set against BNB's recent observed range. The 17-level geometric ladder gives roughly 1.0% per step — wide enough to clear perpetual taker fees on each round-trip, granular enough to keep catching 15m swings inside the range. 🔷 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 (667 / 569) was set against BNB's recent 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 ~3.8-month sample (330 closed trades, 72.42% win rate, 5.44% max drawdown, profit factor 3.061, +13.16% net return), use the companion strategy version on identical parameters. 🔷 How to Use It: 🔸 Add the indicator to a BNB / USDT 15m chart. 🔸 Set the High and Low bounds to a range you expect BNB 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_BNB). 🔸 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 17, 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 (shows status, range, levels, owned slots, avg entry, deployed capital, open PnL, and cumulative realized PnL). 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.
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BNB Grid Bot - Long StrategyBNB Grid Bot — Long Strategy 🔷 What it does: This is a long-only price-grid strategy that harvests volatility on BNB / 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 17 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 5.88% of equity at default settings, inside the conventional 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 BNB 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 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 17 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. The status table also reports the cumulative realized net profit (how much the grid has actually earned, in USDT and % of starting capital), so live performance is visible directly on the chart. - Calibrated for BNB 15m: Default bounds, level count, and step size are set against BNB's recent observed range. The 17-level geometric ladder gives roughly 1.0% per step — wide enough to clear perpetual taker fees on each round-trip, granular enough to keep catching 15m swings inside the range. 🔷 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 (667 / 569) was set against BNB's recent observed range; update both whenever the regime changes. Capital Deployment & Drawdown: The default Investment of 10,000 USDT equals 100% of starting capital — high-conviction setting that assumes the configured range holds. Per-slot risk remains moderate (~5.88% of equity), but if price collapses below the Low bound, aggregate unrealized loss can grow further. 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 ~588 USDT per slot, 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 ~1.0% step is deliberately wider than a tight scalp grid so each round-trip comfortably clears the perpetual taker fee. The default commission (0.06% per trade) is calibrated for Bybit perpetual taker conditions; any mismatch with your exchange's actual fees will materially shift the results. 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:BNBUSDT.P (Perpetual) — strategy is portable to any BNB / USDT pair. Timeframe: 15M Test Period: February 8, 2026 — June 2, 2026 (~3.8 months). Initial Capital: 10,000 USDT. Total Investment: 10,000 USDT (100% of capital, high-conviction setting). Order Size per Slot: Investment / 17 ≈ 588 USDT (~5.88% of equity). Commission: 0.06% per trade. Slippage: 3 ticks. Margin for Long Positions: 100%. Indicator Settings: Default Configuration. Grid Bounds: High 667 / Low 569 (range −14.69%). Grid Levels: 17 (Geometric spacing, ~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: +1,316.40 USDT (+13.16%) Max Equity Drawdown: 583.18 USDT (5.44%) Total Closed Trades: 330 Percent Profitable: 72.42% (239 / 330) Profit Factor: 3.061 🔷 How to Use It: 🔸 Adjust Settings: Open the strategy inputs and set the High and Low bounds to a range you expect BNB 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 3-month window on BNB 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 17, 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 (shows range, levels, owned slots, investment, per-slot size, open PnL, and cumulative realized net profit). 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.
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Historical P/E Ratio with Average Line**Description:** This indicator plots a stock's price-to-earnings (P/E) ratio over time and adds an average line. It lets you see at a glance whether a company is currently valued more expensively or more cheaply than its historical norm. **What the indicator shows** The blue line shows the historical P/E ratio, calculated as the current price divided by earnings per share. The orange line represents the average — either as an overall average across the entire available history, or as a moving average over an adjustable number of bars. A small info box in the top right summarizes the current P/E value and the average. **Settings** The calculation period can be set to TTM (trailing twelve months), fiscal year (FY), or quarter (FQ). The average type can be switched between overall average and moving average, whose length is freely adjustable. An outlier filter hides extreme P/E spikes that occur during periods of very low earnings and would otherwise distort the scale. **Usage notes** The indicator only works with stocks that have available fundamental data and is most useful on the daily or weekly chart. During loss periods with negative earnings, the P/E ratio is undefined and is deliberately not displayed. The overall average is calculated across the history loaded in the chart — the more history is visible, the more meaningful the average line becomes. **Disclaimer** This indicator is provided for informational and educational purposes only and does not constitute investment advice or a buy/sell recommendation. A P/E ratio above or below its historical average is not a buy or sell signal in itself and should always be considered together with the business model, growth expectations, and industry context. Fundamental data is provided by TradingView; no guarantee is made as to its accuracy or completeness. --- **Beschreibung:** Dieser Indikator stellt das Kurs-Gewinn-Verhältnis (KGV) einer Aktie über die Zeit dar und ergänzt es um eine Durchschnittslinie. So lässt sich auf einen Blick erkennen, ob ein Unternehmen aktuell teurer oder günstiger bewertet ist als im historischen Mittel. **Was der Indikator zeigt** Die blaue Linie zeigt das historische KGV, berechnet aus dem aktuellen Kurs geteilt durch den Gewinn je Aktie. Die orange Linie stellt den Durchschnitt dar – wahlweise als Gesamtdurchschnitt über die gesamte verfügbare Historie oder als gleitender Durchschnitt über eine einstellbare Anzahl von Bars. Eine kleine Info-Box rechts oben fasst den aktuellen KGV-Wert und den Durchschnitt zusammen. **Einstellmöglichkeiten** Berechnungsperiode wählbar zwischen TTM (letzte zwölf Monate), Geschäftsjahr (FY) und Quartal (FQ). Der Durchschnittstyp lässt sich zwischen Gesamtdurchschnitt und gleitendem Durchschnitt umschalten, dessen Länge frei einstellbar ist. Ein Ausreißer-Filter blendet extreme KGV-Spitzen aus, die bei sehr niedrigen Gewinnen entstehen und die Skala sonst verzerren würden. **Hinweise zur Nutzung** Der Indikator funktioniert nur bei Aktien mit verfügbaren Fundamentaldaten und ist am sinnvollsten auf dem Tages- oder Wochenchart. In Verlustphasen mit negativem Gewinn ist das KGV nicht definiert und wird bewusst nicht dargestellt. Der Gesamtdurchschnitt wird über die im Chart geladene Historie gebildet – je mehr Historie sichtbar ist, desto aussagekräftiger ist die Durchschnittslinie. **Wichtiger Hinweis** Dieser Indikator dient ausschließlich Informations- und Bildungszwecken und stellt keine Anlageberatung oder Kauf-/Verkaufsempfehlung dar. Ein KGV über oder unter dem historischen Durchschnitt ist für sich genommen kein Kauf- oder Verkaufssignal, sondern sollte stets im Zusammenhang mit dem Geschäftsmodell, der Wachstumserwartung und dem Branchenumfeld betrachtet werden. Fundamentaldaten werden von TradingView bereitgestellt; für deren Richtigkeit und Vollständigkeit wird keine Gewähr übernommen.
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