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cd_indiCATor_CxGeneral: This indicator is the redesigned, simplified, and feature-enhanced version of the previously shared indicators: cd_cisd_market_Cx, cd_HTF_Bias_Cx, cd_sweep&cisd_Cx, cd_SMT_Sweep_CISD_Cx, and cd_RSI_divergence_Cx. Within the holistic setup, the indicator tracks: • HTF bias • Market structure (trend) in the current timeframe • Divergence between selected pairs (SMT) • Divergence between price and RSI values • Whether the price is in an important area (FVG, iFVG, and Volume Imbalance) • Whether the price is at a key level • Whether the price is within a user-defined special timeframe The main condition and trigger of the setup is an HTF sweep with CISD confirmation on the aligned timeframe. When the main condition occurs, the indicator provides the user with a real-time market status summary, enriched with other data. ________________________________________ What’s new? -In the SMT module: • Triad SMT analysis (e.g.: NQ1!, ES1!, and YM1!) • Dyad SMT analysis (e.g.: EURUSD, GBPUSD) • Alternative pair definition and divergence analysis for non-correlated assets o For crypto assets (xxxUSDT <--> xxxUSDT.P) (e.g.: SOLUSDT.P, SOLUSDT) o For stocks, divergence analysis by comparing the asset with its value in another currency (BIST:xxx <--> BIST:xxx / EURTRY), (BAT:xxx <--> BAT:xxx / EURUSD) -Special timeframe definition -Configurable multi-option alarm center -Alternative summary presentation (check list / status table / stickers) ________________________________________ Details and usage: The user needs to configure four main sections: • Pair and correlated pairs • Timeframes (Auto / Manual) • Alarm center • Visual arrangement and selections Pair Selections: The user should adjust trading pairs according to their trade preferences. Examples: • Triad: NQ1!-ES1!-YM1!, BTC-ETH-Total3 • Dyad: NAS100-US500, XAUUSD-XAGUSD, XRPUSDT-XLMUSDT Single pairs: -Crypto Assets: If crypto assets are not in the triad or dyad list, they are automatically matched as: Perpetual <--> Spot (e.g.: DOGEUSDT.P <--> DOGEUSDT) If the asset is already defined in a dyad list (e.g., DOGE – SHIB), the dyad definition takes priority. ________________________________________ -Stocks: If stocks are defined in the dyad list (e.g.: BIST:THYAO <--> BIST:PGSUS), the dyad definition takes priority. If not defined, the stock is compared with its value in the selected currency. For example, in the Turkish Stock Exchange: BIST:FENER stock, if EUR is chosen from the menu, is compared as BIST:FENER / OANDA:EURTRY. Here, “OANDA” and the stock market currency (TRY) are automatically applied for the exchange rate. For NYSE:XOM, its pair will be NYSE:XOM / EURUSD. ________________________________________ Timeframes: By default, the menu is set to “Auto.” In this mode, aligned timeframes are automatically selected. Aligned timeframes (LTF-HTF): 1m-15m, 3m-30m, 5m-1h, 15m-4h, 1h-D, 4h-W, D-M Example: if monitoring the chart on 5m: • 1h sweep + 5m CISD confirmation • D sweep + 1h CISD confirmation (bias) • 5m market structure • 1h SMT and 1h RSI divergence analysis For manual selections, the user must define the timeframes for Sweep and HTF bias. FVG, iFVG, and Volume Imbalance timeframes must be manually set in both modes. ________________________________________ Alarm Center: The user can choose according to preferred criteria. Each row has options. “Yes” → included in alarm condition. “No” → not included in alarm condition. If special timeframe criteria are added to the alarm, the hour range must also be entered in the same row, and the “Special Zone” tab (default: -4) should be checked. Key level timeframes and plot options must be set manually. Example alarm setup: Alongside the main Sweep + CISD condition, if we also want HTF bias + Trend alignment + key level (W, D) and special timeframe (09:00–11:00), we should set up the menu as follows: ________________________________________ Visual Arrangement and Selections: Users can control visibility with checkboxes according to their preferences. In the Table & Sticker tab, table options and labels can be controlled. • Summary Table has two options: Check list and Status Table • From the HTF bias section, real-time bias and HTF sweep zone (optional) are displayed • The RSI divergence section only shows divergence analysis results • The SMT 2 sub-section only functions when triad is selected Labels are shown on the bar where the sweep + CISD condition occurs, displaying the current situation. With the Check box option, all criteria’s real-time status is shown (True/False). Status Table provides a real-time summary table. Although the menu may look crowded, most settings only need to be adjusted once during initial use. ________________________________________ What’s next? • Suggestions from users • Standard deviation projection • Mitigation/order blocks (cd special mtg) • PSP /TPD ________________________________________ Final note: Every additional criterion in the alarm settings will affect alarm frequency. Multiple conditions occurring at the same time is not, by itself, sufficient to enter a trade—you should always apply your own judgment. Looking forward to your feedback and suggestions. Happy trading! 🎉
Pine Script® göstergesi
cdikici71 tarafından
37
Hilly's Reversal Scalping Strategy - 5 Min CandlesHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Set Timeframe: Ensure the chart is set to 5-minute candles (TradingView: right-click chart > Timeframe > 5 Minutes). Check for Errors: Verify no errors appear in the Pine Editor console. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” labels and triangle-up arrows for bullish reversals (e.g., bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom in a downtrend). Red “SELL” labels and triangle-down arrows for bearish reversals (e.g., bearish engulfing, shooting star, doji, evening star, three black crows, double top in an uptrend). Green/red background highlights for signal candles. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds. Troubleshooting If Errors Occur: If any errors appear in TradingView’s Pine Editor console (e.g., “Syntax error” or “Invalid argument”), please share the exact error messages to diagnose environment-specific issues. Signal Overload: If too many signals appear, increase patternLookback to 15 or set volFilter = volume > volMa * 2.0. Missed Signals: If signals are too rare, set useVolumeFilter=false or reduce patternLookback to 5. Additional Features: If you need alerts, other indicators (e.g., EMA, RSI), or dynamic arrow sizing, please specify. Note that dynamic sizing caused errors previously, so I’ve kept size=size.normal.
Pine Script® stratejisi
Hilly1976 tarafından
Hilly 3.0 Advanced Crypto Scalping Strategy - 1 & 5 Min ChartsHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Check for Errors: Verify no errors appear in the Pine Editor console. The script uses Pine Script v5 (@version=5). Select Timeframe: 1-Minute Chart: Use defaults (emaFastLen=7, emaSlowLen=14, rsiLen=10, rsiOverbought=80, rsiOversold=20, slPerc=0.5, tpPerc=1.0, useCandlePatterns=false, patternLookback=10). 5-Minute Chart: Adjust to emaFastLen=9, emaSlowLen=21, rsiLen=14, rsiOverbought=75, rsiOversold=25, slPerc=0.8, tpPerc=1.5, useCandlePatterns=true, patternLookback=10. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” or “EMA BUY” labels and triangle-up arrows below candles for bullish signals (EMA crossovers, bullish engulfing, hammer, doji, morning star, three white soldiers, double bottom). Red “SELL” or “EMA SELL” labels and triangle-down arrows above candles for bearish signals (EMA crossovers, bearish engulfing, shooting star, doji, evening star, three black crows, double top). Green/red background highlights for signal candles. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Pine Script® stratejisi
Hilly1976 tarafından
Key Levels: Daily, Weekly, Monthly [BackQuant]Key Levels: Daily, Weekly, Monthly Map the market’s “memory” in one glance—yesterday’s range, this week’s chosen day high/low, and D/W/M opens—then auto-clean levels once they break. What it does This tool plots three families of high-signal reference lines and keeps them tidy as price evolves: Chosen Day High/Low (per week) — Pick a weekday (e.g., Monday). For each past week, the script records that day’s session high and low and projects them forward for a configurable number of bars. These act like “memory levels” that price often revisits. Daily / Weekly / Monthly Opens — Plots the opening price of each new day, week, and month with separate styling. These opens frequently behave like magnets/flip lines intraday and anchors for regime on higher timeframes. Auto-pruning — When price breaks a stored level, the script can automatically remove it to reduce clutter and refocus you on still-active lines. See: (broken levels removed). Why these levels matter Liquidity pockets — Prior day’s high/low and the daily open concentrate stops and pending orders. Mapping them quickly reveals likely sweep or fade zones. Example: previous day highs + daily open highlighting liquidity: Context & regime — Monthly opens frame macro bias; trading above a rising cluster of monthly opens vs. below gives a clean top-down read. Example: monthly-only “macro outlook” view: Cleaner charts — Auto-remove broken lines so you focus on what still matters right now. What it plots (at a glance) Past Chosen Day High/Low for up to N prior weeks (your choice), extended right. Current Daily Open , Weekly Open , and Monthly Open , each with its own color, label, and forward extension. Optional short labels (e.g., “Mon High”) or full labels (with week/month info). How breaks are detected & cleaned You control both the evidence and the timing of a “break”: Break uses — Choose Close (more conservative) or Wick (more sensitive). Inclusive? — If enabled, equality counts (≥ high or ≤ low). If disabled, you need a strict cross. Allow intraday breaks? — If on, a level can break during the tracked day; if off, the script only counts breaks after the session completes. Remove Broken Levels — When a break is confirmed, the line/label is deleted automatically. (See the demo: ) Quick start Pick a Day of Week to Track (e.g., Monday). Set how many weeks back to show (e.g., 8–10). Choose how far to extend each family (bars to the right for chosen-day H/L and D/W/M opens). Decide if a break uses Close or Wick , and whether equality counts. Toggle Remove Broken Levels to keep the chart clean automatically. Tips by use-case Intraday bias — Watch the Daily Open as a magnet/flip. If price gaps above and holds, pullbacks to the daily open often decide direction. Pair with last day’s high/low for sweep→reversal or true breakout cues. See: Weekly structure — Track the week’s chosen day (e.g., Monday) high/low across prior weeks. If price stalls near a cluster of old “Monday Highs,” look for sweep/reject patterns or continuation on reclaim. Macro regime — Hide daily/weekly lines and keep only Monthly Opens to read bigger cycles at a glance (BTC/crypto especially). Example: Customization Use wicks or bodies for highs/lows (wicks capture extremes; bodies are stricter). Line style & thickness — solid/dashed/dotted, width 1–5, plus global transparency. Labels — Abbreviated (“Mon High”, “D Open”) or full (month/week/day info). Color scheme — Separate colors for highs, lows, and each of D/W/M opens. Capacity controls — Set how many daily/weekly/monthly opens and how many weeks of chosen-day H/L to keep visible. What’s under the hood On your selected weekday, the script records that session’s true high and true low (using wicks or body-based extremes—your choice), then projects a horizontal line forward for the next bars. At each new day/week/month , it records the opening price and projects that line forward as well. Each bar, the script checks your “break” rules; once broken, lines/labels are removed if auto-cleaning is on. Everything updates in real time; past levels don’t repaint after the session finishes. Recommended presets Day trading — Weeks back: 6–10; extend D/W opens: 50–100 bars; Break uses: Close ; Inclusive: off; Auto-remove: on. Swing — Fewer daily opens, more weekly opens (2–6), and 8–12 weeks of chosen-day H/L. Macro — Show only Monthly Opens (1–6 months), dashed style, thicker lines for clarity. Reading the examples Broken lines disappear — decluttering in action: Macro outlook — monthly opens as cycle rails: Liquidity map — previous day highs + daily open: Final note These are not “signals”—they’re reference points that many participants watch. By standardising how you draw them and automatically clearing the ones that no longer matter, you turn a noisy chart into a focused map: where liquidity likely sits, where price memory lives, and which lines are still in play.
Pine Script® göstergesi
BackQuant tarafından
6
Contract Interest Turnover T3 [T69]Overview -------- Contract Interest Turnover (CIT) estimates how “churny” a crypto derivatives market is by comparing the amount traded in a bar to the base stock of outstanding contracts (open interest). It normalizes both Volume and Open Interest (OI) by Price (Close), then plots a Turnover Rate = (Volume/Close) ÷ (OI/Close) as colored columns. Higher values = faster contract recycling (strong momentum / hype potential). Features -------- - Auto-fetch OI: Pulls OI via request.security(_OI, …) when the exchange/symbol exposes an OI stream on TradingView. - Price-normalized comparison: Converts both Volume and OI into comparable notional terms by dividing each by Close. - Turnover columns with threshold: Color the columns green once Turnover ≥ your set threshold; gray otherwise. - Status-line readouts: Displays normalized Volume and OI values for quick sanity checks. - Crypto-aware timeframe: Uses chart TF for crypto; forces daily OI when not crypto to avoid noisy intraday pulls. How to Use ---------- 1. Add the script on a perpetual/futures symbol that has OI on TradingView (e.g., BTC perps where an _OI feed exists). 2. Watch the Turnover Rate bars: spikes above your threshold flag sessions where contracts are actively flipping. 3. Interpret spikes as a signal of movement or activity — it does not specify price direction, only that the market is engaged and contracts are being traded more intensely than usual. Configuration ------------- - Interest Turnover Threshold (default 1.0): colors columns green when Turnover ≥ threshold. Tune per market’s typical churn profile. Under the Hood (Formulas & Logic) --------------------------------- - Fetch OI oiClose ← request.security(ticker.standard(syminfo.tickerid) + "_OI", timeframe, close) with ignore_invalid_symbol = true. If none is found, the script throws a clear runtime error. - Normalize to price vol_norm = volume / close oi_norm = oiClose / close This converts both to a common notional basis so their ratio is meaningful even as price changes. - Turnover Rate turnover = vol_norm / oi_norm Interpretation: fraction/multiples of the outstanding contract base traded in the bar. Color = green if turnover ≥ threshold. Why Open Interest ≈ “Float” Proxy --------------------------------- In stocks, float ≈ shares the public can trade. In derivatives, there are no “shares,” so Open Interest acts as the live stock of active contracts. It’s the best proxy for “what’s available in play” because it counts open positions that persist across bars. Using Volume ÷ OI mirrors stock float-turnover logic: how fast the tradable base is being recycled each period. Why Normalize by Price ---------------------- Derivatives volume and OI may be reported in contracts, not notional value. One contract’s economic weight changes with price (especially on inverse contracts). Dividing both Volume and OI by Close: - Puts them on a comparable notional footing. - Prevents false spikes purely from price moves. - Makes Turnover comparable across time even as price trends. Advanced Tips ------------- - Calibrate threshold: Start from the 80th–90th percentile of the last 60–90 bars of Turnover; set the threshold a touch below that to surface early heat. - Add OI-delta: Layer an OI change histogram (current − prior) to separate new positioning from pure churn. - Linear vs inverse: For linear (USDT-margined) contracts, the normalization still works and keeps visuals consistent; for inverse, it’s essential. Limitations ----------- - Data availability: Works only if your symbol exposes an _OI feed on TradingView; otherwise it errors out. - Exchange conventions: Volume units differ by venue (contracts, coin, notional). Normalization mitigates, but cross-symbol comparisons still need caution. - Intrabar gaps: OI is typically end-of-bar; rapid intrabar shifts won’t appear until the bar closes. Notes ----- - Designed primarily for crypto derivatives. For non-crypto, the script blanks OI to avoid misleading plots and uses a daily TF when needed. Credit ------ - Concept & data: Built for TradingView data feeds. - Acknowledgment: Credit to TradingView default indicator as requested. - Source: This write-up reflects the logic present in your uploaded script. Disclaimer ---------- Markets move; indicators simplify. Use with position sizing, hard stops, and catalyst awareness. The Turnover Rate flags activity, not direction.
Pine Script® göstergesi
Teyo69 tarafından
2
Confluence Engine Confluence Engine is a practical, non-repainting decision aid that scores market conditions from −100…+100 by combining six proven modules: Trend, Momentum, Volatility, Volume, Structure, and an HTF confirmation. It’s designed for crypto, forex, indices, and stocks, and it fires entries only on confirmed bar closes. What’s inside Trend: EMA 20/50/200 alignment plus a Supertrend/KAMA toggle (you choose the baseline). Momentum: RSI + MACD with confirmed-pivot divergence detection. Volatility: ATR% and Bollinger Band width vs its average to favor expansion over chop. Volume: OBV-style cumulative flow slope + volume surge vs SMA×multiplier. Market Structure: Confirmed pivots, BOS (break of structure) and CHOCH (change of character). HTF Filter: Closed higher-timeframe context via request.security(..., barmerge.gaps_on, barmerge.lookahead_off). Why it does not repaint Signals are computed and plotted on closed bars only. Pivots/divergences use confirmed pivot points (no forward look). HTF series are fetched with lookahead_off and use the last closed HTF bar in realtime. No future bar references are used for entries or alerts. How to use (3 steps) Pick a timeframe pair: use a 4–6× HTF multiplier (5m→30m, 15m→1h, 1h→4h, 4h→1D, 1D→1W). Trade with the HTF: take longs only when the HTF filter is bullish; shorts only when bearish. Prefer expansion: act when BB width > its average and ATR% is elevated; skip most signals in compression. Suggested presets (start here) Crypto (BTC/ETH): 15m→1h, 1h→4h. stLen=10, stMult=3.0, bbLen=20, surgeMul=1.8–2.2, thresholds +40 / −40 (intraday can try +35 / −35). Forex majors: 15m→1h, 1h→4h. stLen=10–14, stMult=2.5–3.0, surgeMul=1.5–1.8, thresholds +35 / −35 (swing: +45 / −45). US equities (liquid): 5m→30m/1h, 15m→1h/2h. stMult=3.0–3.5, surgeMul=1.6–2.0, thresholds +45 / −45 to reduce chop. Indices (ES/NQ): 5m→30m, 15m→1h. Defaults are fine; start at +40 / −40. Gold/Oil: 15m→1h, 1h→4h. Thresholds +35 / −35, surgeMul=1.6–1.9. Inputs (plain English) Use Supertrend (off = KAMA): choose the trend baseline. EMA Fast/Mid/Slow: 20/50/200 by default for classic stack. RSI/MACD + divergence pivots: momentum and exhaustion context. ATR Length & BB Length: volatility regime detection. Volume SMA & Surge Multiplier: defines “meaningful” volume spikes. Pivot left/right & “Confirm BOS/CHOCH on Close”: structure strictness. Enable HTF & Higher Timeframe: confirms the lower timeframe direction. Thresholds (+long / −short): when the score crosses these, you get signals. Signals & alerts (IDs preserved) Entry shapes plot at bar close when the score crosses thresholds. Alerts you can enable: CONFLUENCE LONG — long entry signal CONFLUENCE SHORT — short entry signal BULLISH BIAS — score turned positive BEARISH BIAS — score turned negative Best practices Focus on signals with HTF agreement and volatility expansion; require volume participation (surge or rising OBV slope) for higher quality. Raise thresholds (+45/−45 or +50/−50) to reduce whipsaws in choppy sessions. Lower thresholds (+35/−35) only if you also require volatility/volume filters. Performance & scope Works across crypto/FX/equities/indices; no broker data or special feeds required. No repainting by design; signals/alerts are computed on closed bars. As with any tool, results vary by regime; always combine with risk management. Disclosure This script is for educational purposes only and is not financial advice. Trading involves risk. Test on historical data and paper trade before using live.
Pine Script® göstergesi
Finntech1 tarafından
1
Crypto OI AgregatedCrypto OI Aggregated — Open Interest Aggregator for Crypto Exchanges General Description The indicator is designed for comprehensive analysis of Open Interest (OI) across major cryptocurrency exchanges. It consolidates data from multiple platforms, visualizes it as candlestick charts or deltas, and builds tables with breakdowns by exchange and contract type. This allows traders to quickly understand where market interest is concentrated and how the market structure is shifting. Unlike standard tools that only show data from a single exchange, this indicator provides a full market overview and makes it easy to compare dynamics across different platforms. ⸻ Key Features • Aggregation of OI data from exchanges: Binance, Bybit, OKX, Bitget, Kraken, HTX, Deribit (feel free to leave a comment if you’d like me to add other exchanges that provide open interest data) • Support for contract types: USDT.P, USD.P, USDC.P, USD.PM • Automatic normalization of various OI data formats from different providers • Display modes: • OI candlestick chart (total aggregated OI) • OI Delta (change in OI per bar) • Full table with detailed data by exchange and contract type • Short summary table with totals in USD and base assets • Support for USD or COIN denomination • Convenient formatting for large numbers • Customizable colors ⸻ How to Use the Indicator 1. Select Exchanges In the settings, enable or disable specific exchanges. It is recommended to activate only the ones you need for analysis — this will make the indicator faster. 2. Choose Data Type • OI — aggregated open interest from selected exchanges. • OI delta — delta (change in OI compared to the previous bar). 3. Denomination • USD — values are converted into USD equivalents. • COIN — values are shown in the base asset (BTC, ETH, etc.). 4. Reading the Chart • OI candlesticks show the overall OI dynamics. • Delta histogram highlights how much OI has grown or decreased per bar. • Colors are fully customizable. 5. Tables • Enabled via the Show table option. • Full Table → Rows = exchanges, Columns = contract types. Cells contain OI values in either USD or the base asset, depending on settings. Quickly shows where the main interest is concentrated. • Short Table → Displays only the total OI values in USD and the base asset. ⸻ Important Notes • For better readability of large values, two custom formatting functions were implemented. They work similarly to format.volume, but with improved digit grouping and adjustable decimal precision. In the tables, the top row is formatted using format.volume, while the bottom row uses the improved formatting functions for clearer representation. str(d, n, s) => str.substring(d, 0, str.length(d) - n) + '.' + str.substring(d, str.length(d) - n, str.length(d) - (n - 2)) + s format(_r) => d = str.tostring(math.round(_r)) str.length(d) > 9 ? str(d, 9, " B") : str.length(d) > 6 ? str(d, 6, " M") : str.length(d) > 3 ? str(d, 3, " K") : d ⸻ Conclusion: Crypto OI Aggregated is a convenient and powerful tool for cryptocurrency derivatives traders. It enables tracking of OI dynamics across multiple exchanges simultaneously, detecting imbalances between contracts, and identifying signals that are not visible when analyzing a single exchange.
Pine Script® göstergesi
NoveltyTrade tarafından
Hilly 2.0 Advanced Crypto Scalping Strategy - 1 & 5 Min ChartsHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Check for Errors: Verify no errors appear in the Pine Editor console. The script uses Pine Script v5 (@version=5). Select Timeframe: 1-Minute Chart: Use defaults (emaFastLen=7, emaSlowLen=14, rsiLen=10, rsiOverbought=80, rsiOversold=20, slPerc=0.5, tpPerc=1.0, useCandlePatterns=false). 5-Minute Chart: Adjust to emaFastLen=9, emaSlowLen=21, rsiLen=14, rsiOverbought=75, rsiOversold=25, slPerc=0.8, tpPerc=1.5, useCandlePatterns=true. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” or “EMA BUY” labels and triangle-up arrows below candles. Red “SELL” or “EMA SELL” labels and triangle-down arrows above candles. Green/red background highlights for signal candles. Arrows use size.normal for consistent visibility. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Pine Script® stratejisi
Hilly1976 tarafından
Supertrend [TradingConToto]Supertrend — ADX/DI + EMA Gap + Breakout (with Mobile UI) What makes it original Supertrend combines trend strength (ADX/DI), multi-timeframe bias (EMA63 and EMA 200D equivalent), a structural filter based on the distance between EMA2400 and EMA4800 expressed in ATR units, and a momentum confirmation through a previous high breakout. This is not a random mashup — it’s a sequence of filters designed to reduce trades in ranging markets and prioritize mature trends: Direction: +DI > -DI (trend led by buyers). Strength: ADX > mean(ADX) (avoids weak, choppy phases). Short-term bias: Close > EMA63. Long-term bias: Close > EMA4800 ≈ EMA200 daily on H1. Momentum: Close > High (immediate breakout). Structure: (EMA2400 − EMA4800) > k·ATR (ensures separation in ATR units, filters out flat phases). Entries & exits Entry: when all six conditions are met and no open position exists. Exit: if +DI < -DI or Close < EMA63. Visuals: EMA63 is painted green while in position and red otherwise, with a supertrend-style band; “BUY” labels appear below the green band and “SELL” labels above the red band. UI: includes a compact table (mobile-friendly) showing the state of each condition. Default parameters used in this publication Initial capital: 10,000 Position size: 10% of equity (≤10% per trade is considered sustainable). Commission: 0.01% per side (adjust to your broker/market). Slippage: 1 tick Pyramiding: 0 (only one position at a time) Adjust commission/slippage to match your market. For US equities, commissions are often per share; for spot crypto, 0.10–0.20% total is common. I publish with 0.01% per side as a conservative example to avoid overestimating results. Recommended backtest dataset Timeframe: H1 Multi-cycle window (e.g. 2015–today) Symbols with high liquidity (e.g. NASDAQ-100 large caps, or BTC/ETH spot) to generate 100+ trades. Avoid cherry-picked short windows. Why each filter matters +DI > -DI + ADX > mean: reduce counter-trend trades and weak signals. Close > EMA63 + Close > EMA4800: enforce trend alignment in short and long horizons. Breakout High : requires immediate momentum, avoids early entries. EMA gap in ATR units: blocks flat or compressed structures where EMA200D aligns with price. Limitations The breakout filter may skip healthy pullbacks; the design prioritizes continuation over perfect entry price. No fixed trailing stop/TP; exits depend on trend degradation via DI/EMA63. Results vary with real costs (commissions, slippage, funding). Adjust defaults to your broker. How to use Apply it on a clean chart (no other indicators when publishing). Keep in mind the default parameters above; if you change them, mention it in your notes and use the same values in the Strategy Tester. Ensure your dataset produces 100+ trades for statistical validity.
Pine Script® stratejisi
toto_scalper_23 tarafından
1
Trading Sessions with Holidays & Timer🌍 Trading Sessions Matter Markets breathe in cycles. When Tokyo, London, or New York steps in, liquidity shifts and price often reacts fast. Example: New York closed BTC at $110K, and when traders woke up, the price was already $113K. That gap says everything about overnight pressure and the next move. ⚡ Indicator Features ✅ Session boxes (Tokyo, London, NY) with custom colors & time zones ✅ Open/close lines → spot gaps & momentum ✅ Average price per session → see where pressure builds ✅ Tick range → quick volatility check ✅ 🏖 Holiday markers → avoid false quiet markets ✅ Live status table → session OPEN / CLOSED + countdown timer 🚀 How to Use Works on intraday timeframes (1m–4h) Watch session opens/closes → liquidity shift points Compare ranges & averages between Tokyo, London, NY Use the timer to prep before the next wave This tool helps you visualize the heartbeat of global markets session by session. 🔖 #BTCUSDT #Forex #TradingSessions #Crypto #DayTrading
Pine Script® göstergesi
HamadaMark tarafından
2
Sniper Swing — Short TF (Clean Signals) [v6]📘 How to Use the Sniper Swing Indicator 1. What It Does It looks for short-term swing breaks in price. It uses an oscillator (RSI/Stoch) and swing pivots to confirm moves. It gives you 3 clear signals only: BUY → Enter long (expecting price to go up). Gay bear → Enter short (expecting price to go down). EXIT → Close your trade (long or short). Candles also change color: Green = in a BUY trade. Red = in a Gay bear trade. Neutral (gray/none) = no trade. 2. When to Use Works best on short timeframes (1m–5m) for scalping/intraday. Use on liquid markets (MES/ES, NQ, SPY, BTC, ETH). Avoid dead hours with no volume (like overnight futures lull or midday chop). 3. How to Trade With It A. BUY trade Wait for a BUY triangle below the candle. Confirm: Candle turned green. Price broke a recent swing high. Oscillator shows strength (indicator does this for you). Enter long at the close of that candle. Place your stop-loss: At the yellow stop line (auto trailing stop), or Just below the last swing low. Stay in while candles are green. Exit when: An orange X appears, or Price hits your stop. B. Gay bear (short) trade Wait for a Gay bear triangle above the candle. Confirm: Candle turned red. Price broke a recent swing low. Oscillator shows weakness. Enter short at the close of that candle. Place stop-loss: At the yellow stop line, or Just above the last swing high. Stay in while candles are red. Exit on an orange X or stop hit. 4. Pro Tips for New Traders Only take one signal at a time → don’t double dip. Quality > Quantity: ignore weak, sideways markets. Best signals happen during trends. Start small: trade micros (MES) or small position sizes. Use alerts: set TradingView alerts for BUY/Gay bear/EXIT so you don’t miss setups. Think of the indicator like a navigator: it tells you the likely path, but you’re the driver → always manage risk. 5. Quick Mental Checklist Signal? (BUY or Gay bear triangle) Confirmed? (candle color + swing break) Enter? (on close) Stop? (yellow line or swing) Exit? (orange X or stop)
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Jmathe20 tarafından
On-Chain Metrics & Z-Mode SelectionThis indicator provides an on-chain metric analysis framework for cryptocurrencies (currently limited to) BTC and ETH; allowing users to select from popular metrics such as SOPR, Profit Addresses %, NUPL, or MVRV. It enables various analyses on the chosen metric to capture momentum and rate of change dynamics over time. Analyses include: Normalization techniques utilizing Mean or Median with standard deviation, as well as a 'Robust' method using interquartile range-based Z-scoring to accommodate skewed distributions, or raw values without normalization. An optional differential calculation that highlights the rate of change (first derivative) of the metric. Moving average smoothing with up to two passes, supporting EMA, SMA, or WMA types. Optional sigmoid-based compression that scales and centers the indicator output, improving interpretability, mitigating extreme outliers, and allowing the user to scale the output so that the step size or increment of the long and short thresholds remains within a workable range. Buy and sell signals are generated based on configurable long and short thresholds applied to the processed output. Visual components such as trend colouring, threshold lines, background shading, and labels make it simple for traders to identify entry signals. This indicator is suitable for those looking to integrate blockchain behavioral insights into their trading decisions. Overall, this script transforms complex on-chain data into actionable trade signals by combining adaptive normalization and smoothing techniques. Its versatility and multi-metric support make it a valuable tool for both market monitoring and strategy development. No financial decisions should be made based solely on this indicator. Always conduct your own research. . Acknowledgements Inspiration drawn from: CipherDecoded
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Conradious tarafından
ICT FVG Buy/Sell SignalsThis bot is built on ICT (Inner Circle Trader) concepts such as: Fair Value Gaps (FVGs) – imbalance zones between candles. Consequent Encroachment (CE) – the midpoint of a gap. Premium / Discount Arrays – dealing ranges split into premium (sell-side) and discount (buy-side) zones. Displacement candles – strong impulsive moves that confirm intent. The bot scans for FVGs, marks CE levels, and waits for price to return to these levels. When price revisits a valid FVG zone with displacement confirmation and in the correct PD array, the bot generates a BUY or SELL signal. ✅ Signal Rules Buy Signal Price trades back into a Bullish FVG. Current bar shows bullish displacement (large bullish body relative to ATR). Price is in discount territory of the current dealing range (if PD filter is enabled). Close is above the CE line of the FVG. Sell Signal Price trades back into a Bearish FVG. Current bar shows bearish displacement. Price is in premium territory of the current dealing range. Close is below the CE line of the FVG. 🎯 What You’ll See on the Chart Green “BUY” labels below candles when long signals trigger. Red “SELL” labels above candles when short signals trigger. Shaded background: Red = Premium zone (sell side). Teal = Discount zone (buy side). Yellow line = dealing range midpoint (equilibrium). Dots on CE lines = midpoints of the latest bullish/bearish FVG. 🔔 Alerts ICT Buy → Triggers when a bullish setup confirms. ICT Sell → Triggers when a bearish setup confirms. You can connect these alerts to: TradingView notifications. Webhooks (for brokers or bots like MetaTrader, NinjaTrader, or Discord). ⚙️ Settings Swing length – how many bars to use when detecting swing highs/lows for the dealing range. Use PD filter – toggle ON/OFF for requiring discount/premium alignment. Displacement ATR multiple – how strong the candle body must be compared to ATR to count as a displacement. ATR length – used for displacement filter. 📈 Supported Markets Works on all symbols and timeframes. Commonly applied to: NASDAQ (NQ, QQQ) S&P500 (ES, SPX, SPY) Forex pairs Crypto (BTC, ETH, etc.) ⚠️ Disclaimer This bot is for educational purposes only. It does not guarantee profits and should be tested on demo accounts first. Always apply proper risk management before trading live.
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svmstellarvisionmedia tarafından
Maiko Range Scalper (Sideways BB + RSI) – v4 cleanPurpose It’s a range scalping strategy for crypto. It tries to take small, repeatable trades inside a sideways market: buy near the bottom of the range, sell near the middle/top (and the reverse for shorts). Core idea (two timeframes) Define the trading range on a higher timeframe (HTF) You choose the HTF (e.g., 15m or 1h). The script finds the highest high and lowest low over a lookback window (e.g., last 96 HTF candles) → these become HTF Resistance and HTF Support. It also calculates the midline (average of support/resistance). Trade signals on your lower timeframe (LTF) You run the strategy on a fast chart (e.g., 1m or 5m). Entries are only allowed inside the HTF range. Entry logic (mean reversion) Indicators on the LTF: Bollinger Bands (length & std dev configurable). RSI (length & thresholds configurable). Optional VWAP proximity filter (price must be within X% of VWAP). Long setup: Price touches/under-cuts the lower Bollinger band AND RSI ≤ threshold (default 30) AND price is inside the HTF range (and passes VWAP filter if enabled). Short setup: Price touches/exceeds the upper Bollinger band AND RSI ≥ threshold (default 70) AND price is inside the HTF range (and passes VWAP filter if enabled). Exits and risk Stop-loss: placed just outside the HTF range with a configurable buffer %: Long SL = HTF Support × (1 − buffer). Short SL = HTF Resistance × (1 + buffer). Take-profit (selectable): Mid band (the Bollinger basis) → conservative, faster exits. Opposite band / HTF boundary → more aggressive, higher RR but more give-backs. Position sizing A simple cap: maximum position size = percent of account equity (e.g., 20%). The script calculates quantity from that cap and current price. Plots you’ll see on the chart HTF Resistance (red) and HTF Support (green) via plot(). HTF Midline (gray dashed) drawn with a line.new() object (because plot() cannot do dashed). Bollinger basis/upper/lower on the LTF. Optional VWAP line (only shown if you enable the filter). Signal markers (green triangle up for Long setups, red triangle down for Short setups). Alerts Two alertconditions: “Long Setup” – when a long entry condition appears. “Short Setup” – when a short entry condition appears. Create alerts from these to get notified in real time. How to use it (quick start) Add to a 1m or 5m chart of a liquid coin (BTC, ETH, SOL). Set HTF timeframe (start with 1h) and lookback (e.g., 96 = ~4 days on 1h). Keep default Bollinger/RSI first; tune later. Choose TP mode: “Mid band” for quick scalps. “Opposite band/Range” if the range is very clean and you want bigger targets. Set SL buffer (0.15–0.30% is common; adjust for volatility). Set Max position % to control size (e.g., 20%). (Optional) Enable VWAP filter to skip stretched moves. When it works best Clearly sideways markets with visible support/resistance on the HTF. High-liquidity pairs where spreads/fees are small relative to your scalp target. Limitations & safety notes True breakouts will invalidate mean-reversion logic—your SL outside the range is there to cut losses fast. Fees can eat into small scalps—prefer limit orders, rebates, and liquid pairs. Backtest results vary by exchange data; always forward-test on small size. If you want, I can: Add an ATR-based stop/target option. Provide a study-only version (signals/alerts, no trading engine). Pre-set risk to your €5,000 plan (e.g., ~0.5% max loss/trade) with calculated qty.
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MaikoWillemsen tarafından
Swing Z | Zillennial Technologies Inc.Swing Z by Zillennial Technologies Inc. is an advanced algorithmic framework built specifically for cryptocurrency markets. It integrates multiple layers of technical analysis into a single decision-support tool, generating buy and sell signals only when several independent confirmations align. Core Concept Swing Z fuses trend structure, momentum oscillators, volatility signals, and price action tools to capture high-probability trading opportunities in volatile crypto environments. Trend Structure (EMA 9, 21, 50, 200) Short-term EMAs (9 & 21) detect immediate momentum shifts. Longer-term EMAs (50 & 200) define the broader trend and dynamic support/resistance. Momentum & Confirmation Layer RSI measures relative strength and market conditions. MACD crossovers confirm momentum shifts and trend continuations. Volatility & Market Pressure TTM Squeeze highlights compression zones likely to precede breakouts. Volume analysis confirms conviction behind directional moves. VWAP (Volume Weighted Average Price) establishes intraday value zones and institutional benchmarks. Price Action Filters Fibonacci retracements are integrated to identify key reversal and continuation levels. Signals are produced only when multiple conditions agree, reducing noise and improving reliability in fast-moving crypto markets. Features Tailored for cryptocurrency trading across major pairs (BTC, ETH, and altcoins). Works effectively on swing and trend-based timeframes (1H–1D). Combines trend, momentum, volatility, and price action into a single framework. Generates clear Buy/Sell markers and integrates with TradingView alerts. How to Use Apply to a clean chart for the clearest visualization. Use Swing Z as a swing trading tool, aligning entries with both trend structure and momentum confirmation. Combine with your own stop-loss, take-profit, and position sizing rules. Avoid application on non-standard chart types such as Renko, Heikin Ashi, or Point & Figure, which may distort results. Disclaimer Swing Z is designed as a decision-support tool, not financial advice. All backtesting should use realistic risk, commission, and slippage assumptions. Past results do not guarantee future performance. Signals do not repaint but may adjust as new data develops in real-time. Why Swing Z is original & useful: Swing Z unifies EMA trend structure, RSI, MACD, TTM Squeeze, VWAP, Fibonacci retracements, and volume analysis into a single algorithmic framework. This multi-confirmation approach improves accuracy by requiring consensus across trend, momentum, volatility, and price action — a design made specifically for the challenges and volatility of cryptocurrency markets.
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ericc2c45 tarafından