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Cryptomarket

CBBI Rainbow Approximation (BTC Only)# CBBI Rainbow Approximation ## Overview This indicator is a Pine Script **approximation inspired by the ColinTalksCrypto Bitcoin Bull Run Index (CBBI)** methodology. It is **not** the official CBBI and does not claim to reproduce its behavior — it follows the same general philosophy of combining multiple complementary valuation metrics into a single 0–100 confidence score, but uses a different set of inputs adapted to what is computable directly in Pine Script. The original CBBI relies on 9 on-chain metrics (RHODL Ratio, Reserve Risk, Terminal Price, etc.) that are not available in Pine Script. This script substitutes those with 6 widely studied technical metrics and packages them into a single rainbow-colored oscillator for cycle context. ## Why a Composite Index Rather Than Individual Metrics Each Bitcoin valuation metric has known weaknesses when used in isolation: - The **Mayer Multiple** can stay elevated for months during strong bull runs without marking a top - The **Pi Cycle Top** has fired only a handful of times historically — small sample size - The **200-Week MA** is too slow to react during fast cycles - The **Monthly RSI** is purely momentum-based with no valuation anchor - The **Power Law** ignores cyclical behavior entirely - The **Golden Ratio Multiplier** depends heavily on calibration A composite score smooths out the individual weaknesses by requiring **broad agreement** across different methodological families before signaling a cycle extreme. A single metric flashing red is a weak signal; five or six aligning is a stronger one. ## Why These 6 Metrics Specifically The metrics were chosen so that each one measures a **different dimension** of the market cycle, minimizing redundancy: | Metric | Dimension Measured | Time Horizon | |---|---|---| | Mayer Multiple | Price extension above baseline | Medium term (200d) | | Pi Cycle Top | Trend acceleration / MA convergence | Medium-long term | | 200-Week MA Heatmap | Distance from multi-year support | Very long term | | Golden Ratio Multiplier | Fibonacci-based cycle expansion | Long term | | Monthly RSI | Pure momentum, no MA dependency | Macro | | Power Law Regression | Log-log valuation anchor (no MA) | All-history | Four of the six rely on moving averages of different lengths (111, 200, 350, 1400 days), but each one transforms that information in a structurally different way (ratio, crossover convergence, distance, multiplier band, regression). The remaining two (RSI, Power Law) intentionally bypass moving averages entirely to avoid over-weighting MA-based behavior. ## How the Score Is Built 1. Each metric is computed in **daily timeframe** (regardless of the chart's display timeframe) 2. Each metric is normalized to a **0–100 scale** based on its historical extremes 3. Available metrics are averaged into a raw composite score 4. The raw score is smoothed by a configurable SMA (default: 7 days) When some metrics return NaN (e.g. the 200-week MA before mid-2014 because Bitcoin lacked the historical data), the script averages only the available ones. The "Metrics OK: X/6" cell in the info table shows how many metrics contributed to the current score. ## Rainbow Zones The score is plotted against six color-coded zones derived from historical CBBI patterns: - **0–20 (Blue)** — Capitulation: extreme value, historical accumulation zones - **20–40 (Cyan)** — Accumulation: still undervalued - **40–60 (Green)** — Neutral: fair value range - **60–75 (Yellow)** — Bullish: trending toward overheated - **75–85 (Orange)** — Overheated: caution advised - **85–100 (Red)** — Blow-off Top: historical sell zones Triangle markers print automatically when the score crosses 85 upward (probable top) or 15 downward (probable bottom). ## Multi-Timeframe Behavior A common issue with Bitcoin cycle indicators is that switching from daily to weekly or monthly view distorts moving-average-based metrics. To prevent this, **all six metrics are computed in daily resolution via a single grouped `request.security` call**, regardless of the timeframe shown on the chart. The score therefore stays consistent whether you view it on the 1D, 1W, 1M, or higher timeframes — the line you see is always the daily score. ## Key Features - 6 normalized metrics combined into a 0–100 composite score - Multi-timeframe consistent (calculations forced to daily) - Safe NaN handling for early Bitcoin history - Live metrics table showing each component's contribution - Built-in alerts for top (>85) and bottom (<15) crossovers - Toggleable rainbow bands, score line, signals, and table ## How to Use 1. Apply the indicator to a Bitcoin chart (default symbol: `INDEX:BTCUSD`) 2. View on any timeframe — the score is computed in daily and remains consistent 3. The score entering the red zone (>85) historically aligns with cycle peaks 4. The score entering the blue zone (<20) historically aligns with cycle bottoms 5. Use as macro cycle context, not as a short-term timing tool ## Important Notes - **This is not the official CBBI.** It is an open-source approximation. The official CBBI is maintained at colintalkscrypto.com and uses proprietary on-chain data feeds not accessible from Pine Script. - **Past patterns may not repeat.** The thresholds and metric calibrations are based on Bitcoin's prior cycles. Future cycle behavior may differ as the market matures. - **This is not financial advice.** The indicator provides cycle context only. Always combine multiple tools and conduct your own research before making investment decisions. - **Not suitable for short-term trading.** The metrics are macro by design and update slowly. ## Credits Conceptual inspiration from **Colin Talks Crypto** for the original CBBI methodology of combining multiple valuation metrics into a composite confidence score. Individual metrics (Mayer Multiple, Pi Cycle Top, 200-Week MA Heatmap, Golden Ratio Multiplier) are well-known public-domain Bitcoin cycle tools, none of which are reproduced from any specific TradingView script.
אינדיקטור Pine Script®
מאת ‎Tomotto‎
NORN WEAVE | URUZ Overview NORN WEAVE ᚢ URUZ is the second version of NORN WEAVE ᚠ FEHU. The core logic — EMA slope, Dow Theory swing structure, ADX trend confirmation — is unchanged. What changed is the settings. FEHU had too many parameters to configure manually. URUZ reduces that friction in three ways. Focus Level replaces the raw EMA period with a single knob. Set the swing detection period, and the EMA scales automatically. One number instead of two. Auto Calibration computes the ADX threshold, ATR factor, and Stop Loss directly from the chart's volatility data. When enabled, you don't need to touch those values at all. Break Even Stop now has a single parameter: how far price must move before the stop activates. The stop is always placed at entry price — no buffer to configure, no edge cases. The philosophy hasn't changed. Survival first, profit second. Entry Conditions - Long: EMA rising AND Dow Theory trend up AND ADX above threshold AND Footprint Delta bullish (if filter enabled) - Short: EMA falling AND Dow Theory trend down AND ADX above threshold AND Footprint Delta bearish (if filter enabled) Exit Conditions - TP1 — ATR × Factor × 1 → closes 30% of position - TP2 — ATR × Factor × 2 → closes another 30% - TP3 — ATR × Factor × 3 → closes a further 30% - Stop Loss — fixed % from entry → closes full position - Break Even Stop — once floating profit reaches the BE trigger %, stop moves to entry price and closes on pullback - Trend Reversal — when Dow Theory swing flips → closes full position Focus Level & Auto Calibration Focus Level is the primary control knob. It sets the swing detection period, and the EMA period is derived automatically (Focus Level × EMA Scale Ratio, default ×5). Adjust Focus Level first when applying to a new symbol or timeframe — everything else follows. Auto Calibration computes three values from the chart's own data: - ADX Threshold — 50th percentile of ADX over 300 bars. The strategy only enters when the current ADX exceeds its own historical median, filtering weak trends automatically. - ATR Factor — shifts based on current volatility vs. the 200-bar average. High volatility → tighter targets. Low volatility → wider targets. - Stop Loss — 50-bar smoothed ATR × 3.5, clamped between -5% and -20%. When Auto Calibration is off, the Manual Tune group values are used instead. Break Even Stop Once price moves the BE Trigger % from entry, the stop is placed exactly at the entry price. The position closes if price returns to break-even. One parameter to set — how far price must travel before the stop activates. The stop position is always entry. Footprint Delta Filter (Premium plan required) Uses BTC or ETH footprint delta (buy volume − sell volume) as a directional confirmation filter. Blocks entries when order flow contradicts the trade direction. Meaningful reduction in false signals during ranging and choppy markets. Parameters - Focus Level (default 13) — Main knob. Controls swing detection and EMA scaling. Adjust first when changing asset or timeframe. - EMA Scale Ratio (default 5) — EMA length = Focus Level × this value. Default gives EMA 65. - Auto Calibration (default ON) — Computes ADX threshold, ATR factor, and SL from chart data automatically. - BE Trigger % (default 5.5%) — How far price must move from entry before the BE stop activates. Recommended: 50–70% of |SL|. - ATR Factor — active when Auto Calibration is OFF. Controls TP distance. Default 3.8. - Stop Loss % — active when Auto Calibration is OFF. Default -10.0%. - ADX Threshold — active when Auto Calibration is OFF. Default 20.5. - Footprint SMA Period (default 21) — Smoothing period for delta signal. Recommended Settings - Meme coins (DOGE, SHIB): Focus 10–15, Auto Calibration ON, BE trigger 6–10% - Major assets (BTC, ETH): Focus 13–18, Auto Calibration ON, BE trigger 4–7% - Mid-cap alts (SOL, SUI, ADA): Focus 12–16, Auto Calibration ON, BE trigger 5–8% For timeframe selection, ADX threshold 15–20 suits 1–5 min charts, 18–23 for 15 min–1H, and 20–25 for 2–4H charts. Default settings are optimized for the 2H timeframe. Visual Guide - EMA line — 3-layer glow effect. Teal when rising, red when falling. - Dow Theory zones — gradient fill from the current swing level to the current price. - TP lines — semi-transparent. TP1 faintest, TP3 most visible. - BE Stop line — gold, appears only when the break even stop is active. - Gray background — ADX below threshold. No entries occur in this zone. - Orange background — Footprint Delta Filter is blocking entry. - Orange warning bar — Auto Calibration is OFF. Manual mode is in effect. - Status table — real-time display of all conditions, current parameter values, and mode. Japanese/English toggle included. 概要 NORN WEAVE ᚢ URUZ は、NORN WEAVE ᚠ FEHU の第2バージョンです。エントリーのコアロジック——EMAの傾き・ダウ理論のスイング構造・ADXトレンド確認——は変わっていません。変わったのは設定です。 FEHUは手動で調整するパラメーターが多すぎました。URUZはその煩わしさを3つの形で減らしています。 フォーカスレベル は、EMA期間という直感的でない数値を一本のノブに置き換えます。スイング検出期間を設定するだけで、EMAが自動的にスケールします。2つの数値が1つになりました。 オートキャリブレーション をONにすると、ADXしきい値・ATR倍率・ストップロスがチャートのボラティリティデータから自動算出されます。有効にしていれば、これらの値に触れる必要はありません。 ブレークイーブンストップ の設定項目は一つになりました——「何%動いたら発動するか」だけです。ストップ位置は常に建値（エントリー価格）で固定。バッファーの設定も、落とし穴もありません。 哲学は変わっていません。 まず生き残る、利益はその次。 エントリー条件 - ロング: EMA上向き AND ダウ理論上昇トレンド AND ADXしきい値以上 AND フットプリントデルタ買い優勢（フィルター有効時） - ショート: EMA下向き AND ダウ理論下降トレンド AND ADXしきい値以上 AND フットプリントデルタ売り優勢（フィルター有効時） イグジット条件 - TP1 — ATR×倍率×1 → ポジションの30%を決済 - TP2 — ATR×倍率×2 → さらに30%を決済 - TP3 — ATR×倍率×3 → さらに30%を決済 - ストップロス — エントリーから設定%に達したらポジションを全決済 - ブレークイーブンストップ — 含み益がBE発動しきい値%に達したら、ストップが建値に移動。価格が戻ったら全決済 - トレンド反転 — ダウ理論のスイングが逆転した時点でポジションを全決済 フォーカスレベルとオートキャリブレーション フォーカスレベル は主軸の操作ノブです。スイング検出期間を設定し、EMA期間はフォーカスレベル×EMAスケール倍率（デフォルト×5）で自動決定されます。新しい銘柄・時間足に適用するときは、まずここを調整してください。 オートキャリブレーション はチャート自身のATR履歴を読み取り、3つの値をリアルタイムで算出します。 - ADXしきい値 — 過去300本のADXの50パーセンタイル（中央値）から算出。現在のADXが過去の中央値を超えているときのみエントリー。 - ATR倍率 — 現在のボラティリティを200本平均と比較して動的に変化。高ボラ時はTPを短く、低ボラ時はTPを長く。 - ストップロス — 50本平滑ATR×3.5で算出し、-5%〜-20%の範囲にクランプ。 オートキャリブレーションをOFFにすると、マニュアルチューングループの値が使われます。 ブレークイーブンストップ エントリーからBE発動しきい値%以上動いたら、ストップがエントリー価格（建値）に設定されます。価格が建値まで戻った時点でポジションが決済されます。設定項目は一つ——「何%動いたら発動するか」だけ。ストップ位置は常に建値です。 フットプリント・デルタフィルター （Premiumプラン以上が必要） BTCまたはETHのフットプリント・デルタ（買い出来高から売り出来高を引いた値）を方向性確認フィルターとして使用します。オーダーフローがトレードの方向と逆行しているときはエントリーをブロックします。横ばい・荒れた相場でのだましシグナルを大幅に削減します。 パラメーター - フォーカスレベル（デフォルト13）— 主軸ノブ。銘柄・時間足変更時はここを最初に調整。 - EMAスケール倍率（デフォルト5）— EMA期間 = フォーカスレベル × この値。デフォルトでEMA65。 - オートキャリブレーション（デフォルトON）— ADXしきい値・ATR倍率・SLをチャートデータから自動算出。 - BE発動しきい値%（デフォルト5.5%）— エントリーからこの%動いたらBEストップが発動。推奨：|SL|の50〜70%。 - ATR倍率（手動）— オートキャリブレーションOFF時に有効。デフォルト3.8。 - 損切り%（手動）— オートキャリブレーションOFF時に有効。デフォルト-10.0%。 - ADXしきい値（手動）— オートキャリブレーションOFF時に有効。デフォルト20.5。 - フットプリントSMA期間（デフォルト21）— デルタシグナルの平滑化期間。 銘柄タイプ別おすすめ設定 - ミーム系（DOGE・SHIB）: フォーカス10〜15、オートキャリブレーションON、BE発動6〜10% - 主要銘柄（BTC・ETH）: フォーカス13〜18、オートキャリブレーションON、BE発動4〜7% - 中堅アルト（SOL・SUI・ADA）: フォーカス12〜16、オートキャリブレーションON、BE発動5〜8% 時間足については、1〜5分足ではADXしきい値15〜20、15分〜1時間足では18〜23、2〜4時間足では20〜25を推奨します。デフォルト設定はADA 2時間足向けに最適化されています。 チャートの見方 - EMAライン — 3層グロー効果。上向きはティール、下向きはレッド。 - ダウ理論ゾーン — 現在のスイングレベルから現在価格へのグラデーション。 - TPライン — 半透明。TP1が最も薄く、TP3が最も濃い。 - BEストップライン — ゴールド。BEストップが発動している間のみ表示。 - グレー背景 — ADXがしきい値以下。このゾーンではエントリーが発生しない。 - オレンジ背景 — フットプリント・デルタフィルターがエントリーをブロック中。 - オレンジ警告 — オートキャリブレーションがOFF。手動モードが有効。 - ステータステーブル — 全エントリー条件・現在のパラメーター値・モードをリアルタイム表示。日本語・英語切り替え対応。
אסטרטגיית Pine Script®
מאת ‎mm_mitsuya‎
Crypto Sector Rotation Radar Pro | Altseason & Memecoin TrackerA live cross-sectional ranking of 7 crypto sectors that answers a question every alt and memecoin trader asks: where is capital actually flowing right now? Most existing sector-rotation visualizations on TradingView normalize each sector independently against its own historical range. That approach has a fundamental flaw — when one sector reads "80" and another reads "70," those numbers are not comparable to each other, because each one is relative to its own past, not to the other sectors. You cannot rank sectors that way. This script does it differently. Every sector's momentum is measured against the same benchmark — TOTAL crypto market cap — so the resulting scores are directly comparable. Then sectors are ranked #1 through #7 in real time. The output is a single dashboard table that tells you, at a glance, which sectors are leading, which are lagging, and which are accelerating or fading. ▸ WHAT IT DOES For each of 7 crypto sectors, the script: 1. Computes the sector-cap-to-TOTAL ratio 2. Measures rate-of-change of that ratio across three windows (default: 7, 14, 30 bars) 3. Blends the three windows by user-configurable weights into a single raw RS reading 4. Cross-sectionally ranks all 7 sectors against each other (#1 strongest, #7 weakest) 5. Converts rank to a 0–100 RS Score (rank 1 → 100, rank 4 → 50, rank 7 → 0) 6. Tracks rank change over 3 and 7 bars to surface acceleration and rotation 7. Classifies each sector's flow as IN, OUT, or NEU based on rank and momentum All of this is rendered in a sortable dashboard table, with optional smoothed RS lines plotted below for historical pattern context. ▸ SECTORS TRACKED • 🚀 Memecoins (CRYPTOCAP:MEME.C) • Ξ Ethereum Eco (CRYPTOCAP:ETHEREUM.C) • 🏛 RWA (CRYPTOCAP:RWA.C) • 🤖 AI (CRYPTOCAP:AI.C) • ◎ Solana Eco (CRYPTOCAP:SOLANA.C) • 🏢 Exchange Tokens (CRYPTOCAP:EXCHANGES.C) • 🏦 DeFi (CRYPTOCAP:TOTALDEFI) The benchmark for all RS calculations is CRYPTOCAP:TOTAL. ▸ HOW TO READ THE TABLE Each row shows one sector with six columns: • SECTOR — emoji and name • RANK — current cross-sectional rank (#1 = strongest, #7 = weakest) • RS — 0–100 score derived from rank • Δ3D — rank change over the last 3 bars, with a heat badge (🔥 ▲ ↗ · ↘ ▼ ❄️) • Δ7D — rank change over the last 7 bars • FLOW — IN (top 3 + positive momentum), OUT (bottom 3 + negative momentum), NEU (mixed) A footer row summarizes the regime in plain language: • 🔥 Memes in Top 2 — Meme Rotation • ⚠️ Risk-Off Regime — defensive sectors leading while risk-on lagging • ❄️ Memes in Bottom 2 — sector weak • Mixed Rotation — no clear leader pattern The memecoin row is highlighted by default to make it stand out at a glance for memecoin-focused traders. This can be toggled off in settings. ▸ HOW TO READ THE LINES Below the table, each sector's RS Score is plotted as a smoothed line using EMA smoothing (default: 5 bars). Because the raw RS Score takes only 7 discrete values (rank-derived), a small amount of smoothing turns step-function jumps into readable curves while preserving the cross-sectional comparability. • Lines above 83 = sector is currently in top 2 by RS • Lines below 17 = sector is currently in bottom 2 by RS • Lines crossing through the middle band = active rotation in or out • Multiple lines bunched together = no clear sector leadership Smoothing length is user-adjustable. Set to 1 for raw stepped lines. ▸ INPUT SETTINGS Calculation: • Calculation Timeframe — default Daily, locked regardless of chart TF • Short / Medium / Long Window — three momentum lookbacks (default 7, 14, 30 bars) • Three weight inputs to blend the windows (default 40 / 35 / 25 %) Display: • Toggle the dashboard table • Choose table position and size • Toggle the memecoin row highlight • Toggle the RS score lines • Adjust line smoothing (EMA length) Colors — all six dashboard color states are individually configurable. ▸ BUILT-IN ALERTS The script defines 17 alert conditions, available through TradingView's standard Add Alert dialog: Per-sector surges (rank improved by 2+ over 3 bars): • 🚀 MEME surged • Ξ Ethereum surged • 🏛 RWA surged • 🤖 AI surged • ◎ Solana surged • 🏢 Exchange surged • 🏦 DeFi surged Per-sector drops (rank declined by 2+ over 3 bars): • same 7 sectors, mirrored Memecoin-specific: • 🔥 MEMES entered Top 2 • ❄️ MEMES dropped to Bottom 2 Regime: • ⚠️ Risk-Off Regime — defensives leading, risk-on lagging ▸ HOW TO USE IT The script pulls all of its data from CRYPTOCAP indices via request.security, so the chart symbol does not affect the calculation. Putting it on CRYPTOCAP:TOTAL on the Daily timeframe gives the cleanest macro context, but the radar will work identically on any chart. Default timeframe is Daily, which is appropriate for sector-rotation analysis. Higher-timeframe rotations are typically slower-moving signals; lower timeframes will produce noisier rankings. ▸ LIMITATIONS AND HONEST CAVEATS • This is a contextual / regime tool, not a predictive one. The radar tells you the current state of cross-sector capital flow. It does not predict which sector will lead next. • Rank is a relative measure. A sector at rank #1 with weak absolute momentum is still rank #1 — but the broader market may be in a downtrend. Pair this with absolute price/cap context. • When two or more sectors have very similar momentum, ranks can flip frequently. The Δ3D and Δ7D columns help filter noise from real rotation. • Sector definitions follow TradingView's CRYPTOCAP indices, which themselves are subject to TradingView's classification logic. If a token is reclassified, all sectors will reflect that change. • RS Score is derived from rank, so it can only take 7 discrete values (0, 16.7, 33.3, 50, 66.7, 83.3, 100). The smoothing on the plotted lines is purely cosmetic; the table values are exact. ▸ TECHNICAL NOTES • Pine Script v6 • Open-source under the Mozilla Public License 2.0 • Uses 8 request.security calls (well below the 40-call limit), all to official CRYPTOCAP indices • No repainting — all calculations use confirmed bar close values from the requested timeframe • Designed to coexist with other indicators on the same chart ▸ DISCLAIMER For educational and informational purposes only. This script is a market analysis tool, not financial advice. Nothing here constitutes a recommendation to buy or sell any asset. Past behavior of the radar in historical data is not a guarantee of future behavior. Cryptocurrency markets are highly volatile and can result in substantial losses. Always do your own research and trade with risk you can afford to lose.
אינדיקטור Pine Script®
מאת ‎DeltaSpeedEdge‎
Meme Season Score | Memecoin Cycle Timing One number, 0 to 100, that answers a single question: is it meme season right now? The Meme Season Score is a composite oscillator that condenses six different memecoin-cycle factors into one decision-relevant signal. Instead of staring at half a dozen separate dominance and market-cap charts trying to interpret what the data is saying together, you get a single weighted reading and a climate label. ▸ WHY THIS INDICATOR EXISTS Existing memecoin tools on TradingView each do one narrow thing: one plots a meme dominance ratio, one shows Z-scores of individual coins, one is an EMA crossover on a single sector index. None of them blend multiple cycle factors into a single comparable score. Generic "altseason indices" treat all alts as a homogeneous block — they cannot tell you whether memecoins specifically are leading or lagging the broader alt rotation. Memecoins behave differently from L1s, DeFi, or RWAs. They need their own framework. This script is that framework: six factors, all relevant to memecoin cycle behavior, all weighted by their historical importance, all blended into one number you can act on. ▸ METHODOLOGY Each of the six input factors is first converted to a rate-of-change over a rolling momentum window (default: 14 bars). That ROC is then converted to a percentile rank within a longer normalization window (default: 180 bars), giving a 0–100 score that reflects "where does today's reading sit within the recent distribution." Inverse factors (where falling values are bullish for memes) have their percentile rank flipped before contributing to the composite. The six factors and default weights: • MEME.D trend — 25% — meme sector dominance rising = bullish • MEME.C momentum — 20% — meme sector market cap accelerating = bullish • BTC.D inverse — 20% — BTC dominance falling = capital rotating to alts • OTHERS.D trend — 15% — altcoin dominance rising = risk-on environment • STABLE.C inverse — 10% — stablecoin cap declining = stables being deployed • MEME.C/TOTAL acceleration — 10% — meme share growing faster than market All weights are user-adjustable in the inputs and are auto-normalized, so they don't have to sum to 100. Note: MEME.D is not currently a native CRYPTOCAP ticker on TradingView, so it is derived as MEME.C / TOTAL × 100 inside the script. ▸ CLIMATE ZONES The score is divided into five regimes, each with its own color and emoji label that appears on the chart: • 0–20 ❄️ Meme Winter Capital fleeing memes (deep accumulation zone) • 20–40 🌧️ Cool Mixed signals — selective plays only • 40–60 ☀️ Warming Up Rotation beginning — early meme season • 60–80 🔥 Meme Season Active Broad memecoin pumps — high conviction window • 80–100 🚀 Peak Mania Extreme readings — historically precedes retracements The main score line shifts color as it crosses zone boundaries. Background of the pane tints faintly with the current zone color (toggleable). A label on the last bar shows the live score and zone name. ▸ HOW TO READ IT • Score above its 50-period EMA = momentum is strengthening • Score below its 50-period EMA = momentum is weakening • Cross above 60 = season conditions activating • Cross above 80 = extreme conditions, historical risk zone • Cross below 40 = season cooling off • Cross below 20 = winter conditions, sentiment capitulation The 50-EMA line is the slower trend reference; the colored line is the live signal. Watching their relationship is often more useful than watching either one alone. ▸ HOW TO USE IT The script pulls all of its data from CRYPTOCAP indices via request.security, so the chart symbol does not affect the calculation. Putting it on CRYPTOCAP:MEME.C on the Daily timeframe gives the cleanest visual context (price chart of the meme sector above, score sub-pane below) but you can use any chart. The default calculation timeframe is Daily, which is appropriate for cycle-level analysis. The score will show the same Daily-derived value regardless of what chart timeframe you are viewing. ▸ INPUT SETTINGS Calculation Settings: • Calculation Timeframe (default: Daily) • Momentum Lookback in bars (default: 14) • Normalization Lookback in bars (default: 180) • Score Smoothing EMA (default: 3 — set to 1 for raw unsmoothed score) Factor Weights — all six factor weights are individually adjustable from 0 to 100. Weights are auto-normalized so any combination is valid. Display Options: • Toggle the 50-period EMA of the score • Toggle the floating score label • Toggle the background climate tint • Label size (small / normal / large / huge — use huge for screenshots) ▸ BUILT-IN ALERTS Four alert conditions are defined and can be activated through the standard Add Alert dialog: • 🔥 Meme Season Starting (score crosses above 60) • 🚀 Peak Mania Warning (score crosses above 80) • ☁️ Meme Season Ending (score crosses below 40) • ❄️ Meme Winter (score crosses below 20) ▸ LIMITATIONS AND HONEST CAVEATS • This is a contextual/regime tool, not a predictive one. The score tells you the current state of the meme cycle based on factors that have historically mattered. It does not predict future prices or guarantee any outcome. • Percentile rank is by definition backward-looking. The score reflects how today's momentum compares to the recent past, not where prices are going. • With default settings, the script needs roughly 194 daily bars of valid CRYPTOCAP data to warm up before producing a meaningful score (14-bar ROC plus 180-bar percentile window). MEME.C history begins in early 2024, so this is not a constraint for current charts. • Memecoin market structure changes quickly. Tokens that drove the sector last cycle may be irrelevant in the next. The score works at the sector level and is robust to individual token churn, but it cannot tell you which specific memecoin to buy. • Factor weights are calibrated to behavior observed in available CRYPTOCAP history. If the underlying market structure shifts substantially, weights may need adjustment. ▸ TECHNICAL NOTES • Pine Script v6 • Open-source under the Mozilla Public License 2.0 • Uses 5 request.security calls (well below the 40-call limit), all to official CRYPTOCAP indices • No repainting — all calculations use confirmed bar close values from the requested timeframe ▸ DISCLAIMER For educational and informational purposes only. This script is a market analysis tool, not financial advice. Nothing here constitutes a recommendation to buy or sell any asset. Past behavior of the score in historical data is not a guarantee of future behavior. Cryptocurrency markets, and memecoin markets in particular, are highly volatile and can result in substantial losses. Always do your own research and trade with risk you can afford to lose.
אינדיקטור Pine Script®
מאת ‎DeltaSpeedEdge‎
4H Swing Trend Pullback Breakout - Long Only + Labels📈 4H Crypto Swing Strategy (PRO) This is a professional swing trading strategy designed for the 4H timeframe, combining trend-following and breakout logic to achieve high consistency and low drawdown across crypto markets. The system is built to perform well on multiple pairs (BTC, ETH, altcoins) and focuses on capturing strong directional moves while avoiding choppy market conditions. --- ⚙️ STRATEGY LOGIC This strategy combines two core concepts: 1. Trend Following (Market Direction Filter) - EMA 50 above EMA 200 - Price above EMA 200 - ADX confirms trend strength This ensures trades are only taken in strong bullish conditions. --- 2. Pullback + Breakout Entry - RSI detects pullbacks within trend - Price holds above key moving averages - Entry triggers on breakout + momentum confirmation This captures continuation after temporary weakness. --- 3. Trend Continuation Mode - Price holds above EMA 50 - Strong momentum structure - Breakout of recent highs This allows the strategy to stay in strong trends without waiting for deep pullbacks. --- 🎯 RISK MANAGEMENT - ATR-based Stop Loss (adaptive to volatility) - Risk/Reward Take Profit system - Trailing Stop to lock profits Take Profit Levels: TP1 = 1R TP2 = 2R TP3 = 3R This creates a balance between win rate and profitability. ibb.co --- 📊 BEST CONDITIONS ✔ Crypto markets (BTC, ETH, ALTCOINS) ✔ 4H timeframe ✔ Trending environments --- ⚠️ NOTES - Not designed for sideways markets - Works best when aligned with overall market trend (e.g. BTC direction) --- 🧠 EDGE This strategy combines: - Trend structure (EMA) - Momentum confirmation (RSI + breakout) - Volatility-based risk management (ATR) Which provides a significant advantage over basic indicator strategies. --- 🚀 Designed for traders who want: - Clean structure - Consistent results - Professional-grade logic If you like clean, structured strategies — this one is for you.
אסטרטגיית Pine Script®
מאת ‎lukasaabenraa‎
1
AG Pro Daily Open Acceptance Map [AGPro Series]AG PRO DAILY OPEN ACCEPTANCE MAP OVERVIEW AG Pro Daily Open Acceptance Map is an intraday overlay built to track how price behaves around the current daily open and to present that behavior in a clean, rules-based structure. Instead of treating the daily open as a passive reference line, this script evaluates whether price is being accepted above it, accepted below it, or repeatedly failing around it. The core design goal is clarity. Many traders use the daily open as a contextual anchor, but in practice it is often shown as only a simple line with no structured interpretation. This script is designed to go one step further by turning that level into a mapped decision framework. The result is a chart that helps users read whether the market is holding one side of the daily open with acceptance, drifting into indecision, or failing to maintain directional control. This tool is intentionally narrow in scope. It is not built as a full market structure engine, a session model, a prior high/low dashboard, a VWAP tool, or a moving average framework. Its role is much more specific: to organize the behavior of price around the daily open and to express that behavior through a compact state model, visual reference lines, and confirmed state transitions. Because the daily open resets every trading day, the script also produces a recurring intraday reference that can be reused across many symbols and market conditions. This makes it useful for users who prefer repeatable visual anchors instead of highly discretionary chart interpretation. WHAT IT DOES This script identifies the current daily open and treats it as the primary intraday reference level. From there, it evaluates whether price is holding above the level, holding below the level, or still testing the area without confirmation. It also tracks the first reclaim event when enabled, allowing users to see whether the market has recovered one side of the level after losing it earlier in the day. The overlay is structured so the current daily open remains the main visual anchor, while the previous daily open can be shown as a lighter secondary context level. Acceptance areas and state mapping are kept as supporting elements rather than replacing the open itself. This keeps the chart readable while still preserving a visual record of how the market behaved around the level throughout the session. In practical terms, the script helps answer a simple but important question: is price truly holding one side of the daily open, or is it only rotating around it without meaningful acceptance? HOW THIS DIFFERS FROM OTHER AG PRO TOOLS This script is intentionally separated from the logic families used in other AG Pro tools. It does not rely on VWAP behavior. It does not build decisions from EMA or moving average relationships. It does not classify price by prior day or prior week high/low structures. It does not depend on sweep, stop hunt, liquidity trap, or session-kill-zone logic. It does not function as a structure label, breakout, or order-flow style engine. The purpose here is much more focused. AG Pro Daily Open Acceptance Map is a daily-open behavior tool. Its main question is not whether a breakout happened, whether liquidity was taken, or whether a trend indicator flipped. Its main question is whether the market is accepting or rejecting one side of the current daily open. That narrow positioning is deliberate. It helps keep the chart logic cleaner, the visual language simpler, and the use case easier to understand. UNIQUE EDGE The unique edge of this script is not the presence of a daily open line by itself. Many tools can plot a daily open. The distinctive part of this indicator is the state framework built around that line. Instead of only drawing the level, the script evaluates market behavior around it and converts that into a practical overlay language. The chart can therefore communicate whether the market is in bullish acceptance, bearish acceptance, or unresolved testing, rather than forcing the user to interpret every interaction manually. The script also separates the current daily open from the previous daily open in a clear visual hierarchy. The current open is treated as the primary live anchor, while the previous open is optional secondary context. This helps users compare the active intraday reference against the prior session without turning the chart into a multi-level dashboard. Another advantage is that the visual model remains compact. The script is designed to offer information density without becoming visually noisy, which is especially important on publish screenshots and on charts where traders prefer a clean price-first layout. METHODOLOGY The script starts by identifying the current daily open and, when enabled, the previous daily open. The current daily open becomes the main reference for all live state calculations. From there, the script measures whether price is sustaining closes above the level, sustaining closes below the level, or remaining in a testing state around the level. The filter mode can be adjusted to make the interpretation more responsive or more selective. In more permissive settings, state shifts can appear earlier. In stricter settings, price generally needs cleaner confirmation before a state is recognized. When reclaim logic is enabled, the script also monitors whether one side of the daily open is recovered after being lost earlier in the day. This is not treated as a separate prediction model. It is simply an additional contextual event that can help users understand whether the market is recovering control around the open after temporary failure. The acceptance area, open zone, and state ribbon are visual support layers. They are not intended to replace price or overwhelm the chart. Their purpose is to make the interpretation easier to read while keeping the current daily open as the main anchor. SIGNALS AND ALERTS The script supports confirmed-bar style logic so that state changes can be tracked in a more stable way. Depending on the enabled settings, users can monitor: Bullish acceptance conditions Bearish acceptance conditions Testing or unresolved behavior around the daily open First reclaim context when enabled General state transitions when the market changes side or loses control These alerts and visual states are intended for chart organization and condition awareness. They should not be interpreted as guaranteed trade outcomes, guaranteed continuation signals, or automated execution instructions. KEY INPUTS FILTER MODE Users can switch between stricter and more responsive behavior depending on how selective they want the state model to be. HOLD / CONFIRMATION SETTINGS These controls affect how much sustained price behavior is required before the script recognizes an accepted state. TOLERANCE AND OPEN ZONE SETTINGS These help define how tightly or loosely the script interprets price behavior around the daily open area. FIRST RECLAIM SETTINGS These controls determine whether reclaim events are tracked as part of the daily open behavior model. DISPLAY SETTINGS Users can control whether the current daily open, previous daily open, acceptance area, ribbon, labels, and panel elements are shown. VISUAL SIZE SETTINGS Panel and label sizing can be adjusted depending on symbol volatility, screen resolution, and chart density preferences. LIMITATIONS AND TRANSPARENCY This script is not a forecasting engine. It does not predict where price must go next. It evaluates how price is behaving relative to the current daily open and displays that information in a structured way. It is also not a substitute for complete market analysis. It does not include broader trend context, liquidity analysis, volume profile logic, macro structure interpretation, news impact, or instrument-specific catalysts unless the user applies those separately. Different symbols and timeframes can also produce different daily open behavior. In some instruments the daily open may act as a very strong intraday reference, while in others price may rotate around it more loosely. Because of that, the script should be interpreted as a contextual decision aid rather than a universal standalone solution. The previous daily open is included only as optional secondary context. It does not drive the main state model. The main live logic is built around the current daily open. RISK DISCLOSURE This script is provided for market analysis, chart organization, and educational use. It does not provide financial advice, investment advice, or guaranteed trade signals. No indicator can remove market risk, and no visual state model can ensure a profitable result. Traders should use their own judgment, position sizing rules, and risk management process before making any decision. This tool can help structure chart interpretation, but execution responsibility always remains with the user.
אינדיקטור Pine Script®
מאת ‎AGProLabs‎
2
PSP zones with validationThis indicator implements a structured cross-asset correlation signal model (PSP — Price Structure Parity) combined with dynamic zone-based market representation and invalidation logic. Unlike traditional correlation tools that only compare directional candle agreement between two assets, this script transforms correlation events into actionable market zones, while also managing their lifecycle through objective invalidation rules. 🔍 Core Concept PSP (Price Structure Parity) identifies situations where: The current asset shows a bullish candle while the reference asset is bearish, or vice versa (direct mode) Or both assets move in the same direction under inverse correlation logic These conditions highlight temporary structural dislocations between correlated instruments, often driven by liquidity imbalance or delayed price response. 🧠 How It Works 1. Cross-Asset Structure Comparison The script compares: Current chart candles Reference symbol candles (user-defined) It evaluates directional alignment or divergence depending on selected mode: Direct correlation mode Inverse correlation mode 2. PSP Signal Generation A PSP event is triggered when a structural mismatch occurs between the two assets based on candle direction. Signals are classified into: Bullish PSP Bearish PSP 3. Zone Construction (Key Feature) Instead of simply coloring candles, each PSP event generates a price zone, representing: The full body range of the signal candle A contextual imbalance area where correlation deviation occurred Zones remain active on the chart and provide a visual representation of where structural inefficiencies were identified. 4. Invalidation Mechanism Each zone has a lifecycle and is automatically removed when invalidated: Bullish zones are invalidated when price closes below the zone Bearish zones are invalidated when price closes above the zone This ensures only active and relevant market structures remain visible, eliminating visual noise and outdated signals. 📊 Key Features Cross-asset correlation detection (PSP model) Direct and inverse correlation modes Zone-based visualization instead of single-bar signals Automatic invalidation of broken structures Clean and low-noise chart output Suitable for multi-asset analysis ⚙️ Inputs Reference Symbol – asset used for correlation comparison Inverse Correlation Mode – flips correlation logic Color Theme Selector – customizable visual styles Opacity Control – zone transparency adjustment 🧭 How to Use This indicator is best applied in: Correlated crypto pairs (e.g., BTC/ETH, BTC/ALTS) Index vs single asset analysis Liquidity divergence identification Typical workflow: Wait for PSP zone creation Observe price reaction inside the zone Monitor invalidation level for structural confirmation Use zones as context for entries or confirmations ⚠️ Notes This indicator does not repaint historical PSP zones Signals are based on closed candle structure Best results occur when used with correlated liquid assets 🇷🇺 Description (RU — дополнительный перевод) Этот индикатор реализует модель корреляционных структур PSP (Price Structure Parity) и превращает расхождения между активами в торговые зоны ликвидности. В отличие от стандартных индикаторов корреляции, он не просто сравнивает направление свечей, а формирует: структурные зоны дисбаланса визуальные области интереса автоматическую инвалидацию сломанных структур 🧠 Логика работы Индикатор сравнивает: свечи текущего графика свечи выбранного референс-актива При выявлении расхождения формируется PSP-сигнал: бычий медвежий 📊 Зоны Каждый сигнал превращается в зону (box), которая показывает: область структурного дисбаланса потенциальную зону реакции цены ❌ Инвалидация Зона удаляется при: пробое вниз (для бычьей зоны) пробое вверх (для медвежьей зоны) 🎯 Применение Лучше всего работает: на криптовалютах с высокой корреляцией в анализе BTC vs альткоины при поиске реакций от дисбаланса
אינדיקטור Pine Script®
מאת ‎crypto_daytrade‎
Anomaly Rejection Channel [ARC] ProAnomaly Rejection Channel Pro 📝 Description The Anomaly Rejection Channel Pro is an advanced, multi-dimensional trading indicator designed to identify high-probability reversal zones (liquidity traps) and price anomalies. Instead of relying on a single metric, ARC Pro combines dynamic volatility channels (VWMA + ATR), volume spread analysis, price action anatomy (wick rejection), and Multi-TimeFrame (MTF) alignment to filter out market noise. It excels at spotting "Bull Traps" and "Bear Traps"—moments where price breaches a key volatility band but fails to sustain momentum due to volume exhaustion or climax, signaling a high likelihood of a reversal. Whether you are scalping on lower timeframes or swing trading, the built-in presets and adaptive volatility logic dynamically adjust to current market conditions. ⚙️ Settings & Parameters 📊 Channel Settings Parameter Preset: Quick-select profiles (Conservative, Balanced, Aggressive, Scalping) that automatically adjust the ATR multiplier, wick requirements, and volume thresholds. VWMA/ATR Period: The lookback period for calculating the baseline Volume-Weighted Moving Average and the Average True Range. Base ATR Multiplier: Defines the width of the channel. A higher value requires a larger price deviation to trigger a signal. Adaptive Multiplier (Volatility): When enabled, the indicator automatically narrows the channel during low volatility and widens it during high volatility to prevent false signals. 🎯 Signal Filters Volume MA Period: The baseline period to determine relative volume strength. Volume Exhaustion / Climax Ratio: The specific multipliers used to detect abnormal volume behavior (either drying up or spiking) at the channel extremes. Min Wick % of Range: The minimum required rejection wick size relative to the total candle body (e.g., a value of 0.4 means the rejection wick must be at least 40% of the candle's total range). Min Absolute Wick Size (points): An optional hard filter to ignore signals if the rejection wick is too small in absolute point value. 📈 Trend Context Filter Signals by Trend: Blocks signals that go against the directional momentum of the built-in Trend Line. Trend Line Period: The smoothing period for the internal trend-detection logic. Allow Counter-Trend Signals: If enabled, the indicator will print signals against the main trend, which is useful for aggressive mean-reversion trading. ✅ Signal Confirmation Require Next Candle Confirmation: The signal is only validated if the subsequent candle confirms the reversal direction. Confirmation: Close Inside Channel: Requires the confirming candle to close back inside the ARC bands, validating the "trap". Signal Delay (bars): Shifts the visual signal X bars forward (useful for aligning alerts with external execution bots). 🌐 Multi-TimeFrame (MTF) Use Higher TF Confirmation: Syncs your current chart with a higher timeframe to ensure macro-trend alignment. Higher TimeFrame: Select the MTF resolution (e.g., 240 for 4-Hour). MTF Mode: Choose how the higher timeframe filters the local chart: Trend Only: Local signals must align with the MTF trend. Rejection Only: Local signals require an active rejection/trap on the MTF. Trend+Rejection: Combines both filters for maximum accuracy. Strict Mode: Blocks all signals if the MTF status shows a "Conflict". 🎨 Signal Display Show Signal Strength (Color): Color-codes the TRAP labels based on confluence (Red/Green for strong, Orange/Lime for moderate). Mode: Trade Breakouts: Reverses the logic to trade momentum breakouts instead of mean-reversion traps. Alerts: Configure to fire once per bar or on every tick.
אינדיקטור Pine Script®
מאת ‎Volatryx‎
Golden & Dead Cross (50/200 MA)🚀 Golden & Dead Cross PRO (50/200 MA) A refined and visually enhanced take on one of the most powerful and widely used market signals: the 50 / 200 Moving Average Crossover. This indicator is designed for traders who want clean signals, dynamic trend visualization, and instant market bias recognition — without unnecessary noise. 💎 Why This Indicator? The classic Golden Cross / Dead Cross strategy is powerful — but often lacks clarity in fast-moving markets. This script solves that by combining: Precision crossover detection Adaptive trend coloring Minimal yet powerful visual signals ⚡ Core Features 🟢 Golden Cross Detection → When MA(50) crosses above MA(200) → Marked with a clean green dot below price 🔴 Dead Cross Detection → When MA(50) crosses below MA(200) → Marked with a clean red dot above price 🎨 Smart Trend Coloring System Bullish Structure → Both MAs turn Green Bearish Structure → Both MAs turn Red Instantly shows market bias at a glance 📉 Noise-Free Design No clutter, no distractions Built for focus and fast decision making 🧠 How Traders Use It Identify trend reversals early with crossover signals Stay aligned with the dominant trend using MA colors Filter trades by trading only in trend direction 💡 Pro Tip: Combine with: Market structure (HH / HL - LH / LL) Volume confirmation Key support & resistance zones 🎯 Who Is This For? Price action traders Swing traders Crypto & Forex traders Anyone who values clean charts + high-quality signals ⚠️ Disclaimer This indicator does not guarantee profits. It is a decision-support tool designed to enhance your trading process. Always manage risk and use proper confirmation.
אינדיקטור Pine Script®
מאת ‎The_Rock_ula‎
NORN WEAVE | FEHUOverview NORN WEAVE ᚠ FEHU is a trend-following strategy built around one philosophy: survival first, profit second. The core logic is three filters in sequence — EMA slope, Dow Theory swing structure, and ADX trend confirmation. All three must align before an entry is taken. If the market is ranging, the strategy stands aside. What defines NORN WEAVE is how it protects what it earns. The Break Even Stop automatically moves the stop to entry price once floating profit reaches a threshold. The Footprint Delta Filter adds a second layer, blocking entries when BTC or ETH order flow contradicts the trade direction. Fewer trades. Fewer unnecessary losses. A drawdown profile that stays flat even across five years of volatile crypto markets. This is not a strategy designed to make you rich overnight. It is designed to keep you in the game. Performance Highlights (DOGE / 2H / 2021–2026) Backtested on DOGE 2H from January 2021 to March 2026, with 0.055% commission included. Net profit +25.4%, max drawdown 1.71%, win rate 70.7%, profit factor 1.80, total trades 557. Always backtest on your target asset before live trading. Entry Conditions Long: EMA rising AND Dow Theory trend up AND ADX above threshold. Short: EMA falling AND Dow Theory trend down AND ADX above threshold. Exit Conditions TP1 triggers at ATR × Factor × 1, closing 30% of the position. TP2 at × 2, closing another 30%. TP3 at × 3, closing a further 30%. The Stop Loss closes the full position at a fixed percentage from entry. The Break Even Stop automatically triggers once floating profit reaches the BE threshold, closing the full position at entry price. A Trend Reversal — when Dow Theory swing flips — also closes the full position. Footprint Delta Filter (Premium plan required) Uses BTC or ETH footprint delta (buy volume − sell volume) as a directional confirmation filter. Blocks entries when order flow contradicts the trade direction. Meaningful reduction in false signals during ranging markets. Parameters EMA Period defaults to 58, recommended range 30–100. Use shorter values for high-volatility assets, longer for stable ones. ATR Factor defaults to 3.8, recommended range 2.5–6.0. Controls TP distance — higher means wider targets. Stop Loss defaults to -5.0%, recommended range -4 to -10%. Wider for volatile assets, tighter for BTC/ETH. ADX Threshold defaults to 20.5, recommended range 15–28. Higher values produce fewer but cleaner trades. Swing Length defaults to 13, recommended range 2–20. Larger values reduce sensitivity to minor swings. BE Trigger defaults to 9.0%, recommended range 3–15%. Set below TP1 distance to protect profits before TP1 is reached. Footprint Delta SMA defaults to 21, recommended range 1–50. Controls smoothing of the delta signal. Recommended Settings For meme coins such as DOGE and SHIB: EMA 44–58, ATR 3.5–5.0, stop loss -5 to -8%, ADX 18–22, BE trigger 7–10%. For major assets such as BTC and ETH: EMA 55–80, ATR 2.5–4.0, stop loss -4 to -6%, ADX 20–25, BE trigger 5–8%. For mid-cap alts such as SOL and SUI: EMA 35–55, ATR 4.0–5.5, stop loss -5 to -7%, ADX 18–23, BE trigger 6–10%. For timeframe selection, an ADX threshold of 15–20 suits 1–5 minute charts. 18–23 suits 15 minutes to 1 hour. 20–25 suits 2–4 hour charts. Default settings are optimized for the 2H timeframe. Visual Guide The EMA line uses a 3-layer glow effect — teal when rising, red when falling. Dow Theory zones show a gradient from the current swing level to the current price. TP lines are semi-transparent, with TP1 the faintest and TP3 the most visible. The BE Stop line appears in gold only when the break even stop is active. A gray background indicates ADX is below the threshold — the strategy does not enter trades in this zone. An orange background means the Footprint Delta Filter is blocking entry. The status table shows all entry conditions and current state in real time, with a Japanese/English toggle. 概要 NORN WEAVE ᚠ FEHU は、「まず生き残る、利益はその次」 という一つの哲学から作られたトレンドフォロー型ストラテジーです。 エントリー条件はシンプルな3つのフィルターで構成されています——EMAの傾き、ダウ理論のスイング構造、ADXトレンドフィルター。この3つが同時に揃ったときだけエントリーします。レンジ相場と判断されたときは、何もせずに待ちます。 NORN WEAVEを特徴づけているのは、稼いだ利益をどう守るかという設計です。ブレークイーブンストップは、含み益が一定の閾値に達した瞬間に損切りラインをエントリー価格へ自動移動します。フットプリント・デルタフィルターはBTCまたはETHのオーダーフローを確認し、トレードの方向と逆行している場合はエントリーをブロックします。結果としてトレード数は絞られ、不要な損失が減り、ドローダウンが5年間の荒れた暗号資産市場でも極めて小さく抑えられています。 一夜にして資産を増やすストラテジーではありません。長くゲームに居続けるためのストラテジーです。 バックテスト結果 DOGEの2時間足、2021年1月から2026年3月まで、手数料0.055%を含む条件でバックテストを実施しています。総損益は+25.4%、最大ドローダウンは1.71%、勝率は70.7%、プロフィットファクターは1.80、トレード総数は557件です。 実運用の前に必ずご自身の対象銘柄でバックテストを行ってください。 エントリー条件 ロングエントリーはEMAが上向き、ダウ理論トレンドが上昇、ADXがしきい値以上の3条件が揃ったときに発動します。ショートエントリーはEMAが下向き、ダウ理論トレンドが下降、ADXがしきい値以上の3条件が揃ったときに発動します。 イグジット条件 TP1はエントリーからATR×倍率×1の地点でポジションの30%を決済します。TP2は×2の地点でさらに30%、TP3は×3の地点でさらに30%を決済します。損切りは設定した%を超えた時点でポジションを全決済します。ブレークイーブンストップは含み益がしきい値%に達した瞬間に自動発動し、エントリー価格でポジションを全決済します。ダウ理論のスイングが逆転したトレンド反転時も、ポジションを全決済します。 フットプリント・デルタフィルター（Premiumプラン以上が必要） BTCまたはETHのフットプリント・デルタ（買い出来高から売り出来高を引いた値）を方向性確認フィルターとして使用します。オーダーフローがトレードの方向と逆行しているときはエントリーをブロックします。横ばい相場でのだましシグナルを大幅に削減します。 パラメーター EMA期間のデフォルトは58で、推奨範囲は30〜100です。ボラティリティが高い銘柄は短め、安定した銘柄は長めに設定します。 ATR倍率のデフォルトは3.8で、推奨範囲は2.5〜6.0です。TP距離の基準となる値で、大きいほど利確ラインが遠くなります。 損切りのデフォルトは-5.0%で、推奨範囲は-4〜-10%です。ボラティリティが高い銘柄は広め、BTC・ETHなどはタイトに設定します。 ADXしきい値のデフォルトは20.5で、推奨範囲は15〜28です。高いほどトレード数が減り、精度が上がります。 スイング検出期間のデフォルトは13で、推奨範囲は2〜20です。大きいほど小さなスイングに反応しにくくなります。 BE発動しきい値のデフォルトは9.0%で、推奨範囲は3〜15%です。TP1到達距離より低めに設定することで、TP1到達前に元本を保護できます。 フットプリントSMA期間のデフォルトは21で、推奨範囲は1〜50です。デルタシグナルの平滑化期間です。 銘柄タイプ別おすすめ設定 ミーム系銘柄（DOGE・SHIBなど）ではEMAを44〜58、ATR倍率を3.5〜5.0、損切りを-5〜-8%、ADXしきい値を18〜22、BEトリガーを7〜10%に設定することを推奨します。 主要銘柄（BTC・ETH）ではEMAを55〜80、ATR倍率を2.5〜4.0、損切りを-4〜-6%、ADXしきい値を20〜25、BEトリガーを5〜8%に設定することを推奨します。 中堅アルト（SOL・SUIなど）ではEMAを35〜55、ATR倍率を4.0〜5.5、損切りを-5〜-7%、ADXしきい値を18〜23、BEトリガーを6〜10%に設定することを推奨します。 時間足については、1〜5分足ではADXしきい値を15〜20、15分〜1時間足では18〜23、2〜4時間足では20〜25に設定することを推奨します。デフォルト設定はDOGEの2時間足向けに最適化されています。 チャートの見方 EMAラインは3層のグロー効果で描画されます。上向きのときはティール、下向きのときはレッドで表示されます。ダウ理論ゾーンは現在のスイングレベルから現在価格へ向かうグラデーションで表示されます。TPラインは半透明で、TP1が最も薄く、TP3が最も濃く表示されます。BEストップラインはブレークイーブンストップが発動している間のみゴールドのラインで表示されます。グレーの背景はADXがしきい値以下の横ばいゾーンを示しており、このゾーンではエントリーは発生しません。オレンジの背景はフットプリント・デルタフィルターがエントリーをブロックしていることを示します。ステータステーブルは全エントリー条件と現在の状態をリアルタイムで表示し、日本語・英語の切り替えに対応しています。 デフォルト設定はDOGEの2時間足向けに最適化されています。実運用の前に必ずご自身の対象銘柄・時間足でバックテストを行ってください。過去の結果は将来の利益を保証するものではありません。 NORN WEAVEは今後も継続的にアップデートされます。ただし、コアコンセプト——生き残ること——は変わりません。
אסטרטגיית Pine Script®
מאת ‎mm_mitsuya‎
ICT Sessions High/Low with LabelsOverview: This indicator is specifically designed for ICT (Inner Circle Trader) and SMC (Smart Money Concepts) traders. Its purpose is to automatically identify and mark the high and low levels of the three major daily sessions: Asian, London, and New York. The market frequently targets these levels (Liquidity Pools) for reversals or expansions. Having these levels plotted automatically is essential for identifying high-probability trade setups. Key Features: ✅ Auto-Detection: Automatically identifies High/Low levels for Asia, London, and New York sessions. ✅ Dynamic Labels: Includes automatic text labels (e.g., "Asian High," "London Low") for instant visual clarity. ✅ Clean Interface: Lines and labels are rendered after the session ends, keeping your chart clutter-free during active trading. ✅ Full Customization: Users can modify session timings (Killzones) and colors via the settings menu to match their local time zone. Trading Applications: Liquidity Sweeps: Look for price to sweep an "Asian High" or "London Low" followed by a Market Structure Shift (MSS) for reversal entries. Targeting: Use previous session highs/lows as logical Take Profit (TP) targets. Session Range: Easily identify if the current price action is staying within the previous session's range or breaking out. Default Session Times (New York UTC-5): Asian Session: 19:00 - 01:00 London Session: 02:00 - 05:00 New York Session: 08:00 - 11:00 Tags: #ICT #SMC #TradingViewIndicator #Sessions #Forex #Liquidity #AsianHighLow #PineScript
אינדיקטור Pine Script®
מאת ‎Selena_FX_Trader‎
Scalping Reversal Strategy - This indicator is built on pure Price Action and Liquidity concepts. Its primary goal is to identify "Traps" and "Stop Loss Hunting" events in the market. The script spots specific levels where retail traders are often lured into false breakouts (Fakeouts) just before the market reverses. Key Features: Liquidity Trap Detection: Automatically detects when the market pierces through a Support or Resistance zone but fails to sustain the move. 30% Reversal Logic: To ensure signal strength, the indicator only triggers when the reversal candle closes at least 30% back into the previous candle's body, signaling a strong rejection. Optimized for Scalping: Specifically designed for fast-paced environments with clear "BUY" and "SELL" visual labels. How to Trade (Rules): Timeframe: Recommended for the 15-minute or 5-minute charts for the best accuracy. Buy Setup (Bullish Reversal): The market reaches a previous Low or a known Support level. A Red candle pushes lower, showing apparent selling pressure. The following Green candle quickly reverses and closes at least 30% inside the Red candle's range. Action: Enter on the "BUY / TRAP" signal. Sell Setup (Bearish Reversal): The market reaches a previous High or a known Resistance zone. A Green candle pushes higher, showing apparent buying pressure. The following Red candle reverses sharply and closes at least 30% inside the Green candle's range. Action: Enter on the "SELL / TRAP" signal. Risk Management: Stop Loss (SL): Place your SL at the High (for Sell) or Low (for Buy) of the signal candle. Take Profit (TP): For effective scalping, aim for a 1:1.5 or 1:2 Risk-to-Reward ratio. Exit Strategy: Since this is a scalping strategy, secure your profits once the target is hit. Avoid over-holding positions in volatile markets. Disclaimer: Trading involves significant risk. This indicator is a tool for analysis and does not guarantee profits. Always back test the strategy and practice on a demo account before trading with live capital.
אינדיקטור Pine Script®
מאת ‎Selena_FX_Trader‎
Precision Confluence Trading Strategy [JOAT]Precision Confluence Trading Strategy Introduction The Precision Confluence Trading Strategy is an open-source algorithmic trading system that combines Central Pivot Range (CPR) analysis, Hull Moving Average (HMA) ribbon alignment, WaveTrend oscillator signals, multi-oscillator divergence detection, ADX trend strength, volume confirmation, Smart Money Concepts (FVG, Order Blocks, Liquidity Sweeps), and multi-timeframe analysis into a comprehensive confluence-based strategy. This mashup creates an institutional-grade trading system designed to identify high-probability setups where multiple independent analytical frameworks simultaneously signal the same direction. The strategy addresses a fundamental challenge in algorithmic trading: single-factor systems produce too many false signals and lack robustness across different market conditions. By requiring confluence across 9 different analytical components before entering trades, this system significantly reduces false signals and focuses capital on only the highest-quality setups where technical, momentum, volume, and institutional factors all align. Chart showing strategy entries with confluence dashboard on 4H timeframe Why This Mashup Exists This strategy combines nine analytical frameworks that address different aspects of market analysis: CPR Analysis: Identifies key pivot levels where institutional algorithms make decisions HMA Ribbon: Measures trend quality through 5-layer moving average alignment WaveTrend Oscillator: Detects momentum cycles and overbought/oversold conditions Multi-Oscillator Divergence: Identifies momentum exhaustion across RSI, MACD, Stochastic RSI ADX Trend Strength: Quantifies trend strength to avoid weak, choppy markets Volume Confirmation: Validates moves with volume analysis and delta calculations Smart Money Concepts: Tracks institutional footprints (FVG, Order Blocks, Liquidity Sweeps) Multi-Timeframe Analysis: Ensures directional alignment across 15M, 1H, and 4H timeframes Key Moving Averages: Confirms position relative to SMA 50/200 institutional levels Each component addresses a different market dimension: CPR provides static structure, HMA shows trend quality, WaveTrend captures momentum cycles, Divergences warn of exhaustion, ADX measures trend strength, Volume confirms genuine moves, SMC reveals institutional behavior, MTF ensures alignment, and Key MAs provide institutional context. Together, they create a multi-dimensional analysis system that no single indicator can provide. The mashup is justified because these components use fundamentally different data and methodologies (pivot calculations, weighted moving averages, wave oscillators, directional movement, volume analysis, price inefficiencies, multi-timeframe data, simple moving averages) that respond to different market conditions. When they align, it indicates genuine high-probability setup rather than noise from a single analytical method. Core Strategy Logic 1. CPR Analysis Component (0-15 points) Central Pivot Range provides structural reference levels: // Daily and Weekly CPR calculation = calcCPR(dHigh, dLow, dClose) = calcCPR(wHigh, wLow, wClose) // CPR scoring cprBullScore = 0 cprBullScore += close > dPivot and close > wPivot ? 10 : 0 cprBullScore += close > dTC ? 3 : 0 cprBullScore += cprNarrow ? 2 : 0 // Narrow CPR = breakout potential cprBearScore = 0 cprBearScore += close < dPivot and close < wPivot ? 10 : 0 cprBearScore += close < dBC ? 3 : 0 cprBearScore += cprNarrow ? 2 : 0 CPR contribution: Up to 15 points for strong position relative to pivots with narrow CPR indicating breakout potential. 2. HMA Ribbon Alignment Component (0-15 points) 5-layer Hull Moving Average ribbon measures trend quality: // Calculate 5 HMAs hma8 = hullMA(close, 8) hma13 = hullMA(close, 13) hma21 = hullMA(close, 21) hma34 = hullMA(close, 34) hma55 = hullMA(close, 55) // Full alignment check hmaFullBullish = hma8 > hma13 and hma13 > hma21 and hma21 > hma34 and hma34 > hma55 hmaFullBearish = hma8 < hma13 and hma13 < hma21 and hma21 < hma34 and hma34 < hma55 // EMA cloud emaCloudBullish = emaFast > emaSlow // HMA scoring hmaRibbonBullScore = 0 hmaRibbonBullScore += hmaBullish ? 5 : 0 hmaRibbonBullScore += hmaFullBullish ? 7 : 0 // Full alignment = strong trend hmaRibbonBullScore += emaCloudBullish ? 3 : 0 HMA contribution: Up to 15 points for full ribbon alignment with EMA cloud confirmation. 3. WaveTrend Oscillator Component (0-15 points) WaveTrend detects momentum cycles and extreme conditions: = calcWaveTrend(hlc3, wtChannelLen, wtAverageLen) // WaveTrend signals wtCrossUp = ta.crossover(wt1, wt2) wtCrossDown = ta.crossunder(wt1, wt2) wtOversold = wt1 < -60 wtOverbought = wt1 > 60 // WaveTrend scoring wtBullScore = 0 wtBullScore += wtCrossUp and wtOversold ? 8 : wtCrossUp ? 5 : 0 wtBullScore += wtBullDiv ? 5 : 0 // Divergence adds weight wtBullScore += wtMomentumBullish ? 2 : 0 WaveTrend contribution: Up to 15 points for crossover in extreme zone with divergence and momentum confirmation. 4. Multi-Oscillator Divergence Component (0-10 points) Tracks divergences across RSI, MACD, and Stochastic RSI: // Divergence detection rsiBullDiv = price LL and rsi HL wtBullDiv = price LL and wt1 HL strongBullDiv = rsiBullDiv and wtBullDiv // Divergence scoring divBullScore = 0 divBullScore += rsiBullDiv ? 5 : 0 divBullScore += strongBullDiv ? 5 : 0 // Multiple oscillators = stronger signal Divergence contribution: Up to 10 points for multi-oscillator divergence indicating momentum exhaustion. 5. ADX Trend Strength Component (0-10 points) ADX quantifies trend strength to avoid choppy markets: = ta.dmi(adxLength, adxLength) strongTrend = adx > adxThreshold // Default: 20 trendBullish = plus > minus // ADX scoring adxBullScore = strongTrend and trendBullish ? 10 : trendBullish ? 5 : 0 ADX contribution: Up to 10 points for strong trend (ADX > 20) in correct direction. 6. Volume Confirmation Component (0-10 points) Volume analysis validates genuine institutional participation: volMA = ta.sma(volume, volMaLength) highVolume = volume > volMA * 1.5 climaxVolume = volume > volMA * 3.0 // Volume delta volumeDelta = ta.cum(buyVolume) - ta.cum(sellVolume) deltaRising = volumeDelta > volumeDeltaMA // Volume scoring volBullScore = 0 volBullScore += volConfirmedBull ? 7 : bullishVolume ? 5 : 0 volBullScore += climaxVolume and close > open ? 3 : 0 Volume contribution: Up to 10 points for high volume with rising delta confirming institutional buying. 7. Smart Money Concepts Component (0-10 points) SMC tracks institutional order flow patterns: // Fair Value Gaps significantBullFVG = bullishFVG and fvgSize > 0.3% // Order Blocks bullishOB = bearish candles + strong bullish candle + high volume // Liquidity Sweeps volConfirmedSweepLow = sweep below recent low + high volume // Displacement bullishDisplacement = large candle (> 2x ATR) + climax volume // SMC scoring smcBullScore = 0 smcBullScore += significantBullFVG ? 2 : 0 smcBullScore += bullishOB ? 2 : 0 smcBullScore += volConfirmedSweepLow ? 2 : 0 smcBullScore += bullishDisplacement ? 3 : 0 SMC contribution: Up to 10 points for multiple institutional footprints (FVG + OB + Sweep + Displacement). 8. Multi-Timeframe Analysis Component (0-15 points) Ensures directional alignment across higher timeframes: // Request higher timeframe data = request.security(syminfo.tickerid, "15", htfTrend()) = request.security(syminfo.tickerid, "60", htfTrend()) = request.security(syminfo.tickerid, "240", htfTrend()) // Alignment check mtfBullish = htf15mDir == 1 and htf1hDir == 1 and htf4hDir == 1 mtfStrongBullish = mtfBullish and htf15mStrong and htf1hStrong and htf4hStrong // MTF scoring mtfBullScore = 0 mtfBullScore += mtfStrongBullish ? 15 : mtfBullish ? 10 : htf1hDir == 1 ? 5 : 0 MTF contribution: Up to 15 points for all three higher timeframes aligned with strong trends. 9. Key Moving Average Component (0-10 points) Position relative to institutional moving averages: sma50 = ta.sma(close, 50) sma200 = ta.sma(close, 200) goldenCross = sma50 > sma200 // MA scoring maBullScore = 0 maBullScore += close > sma50 ? 3 : 0 maBullScore += close > sma200 ? 4 : 0 maBullScore += goldenCross ? 3 : 0 MA contribution: Up to 10 points for price above key MAs with Golden Cross. Dashboard showing confluence score breakdown by component Total Confluence Scoring System The strategy calculates total confluence score (0-100) by summing all components: bullConfluenceScore = cprBullScore + // 0-15 hmaRibbonBullScore + // 0-15 wtBullScore + // 0-15 divBullScore + // 0-10 adxBullScore + // 0-10 volBullScore + // 0-10 smcBullScore + // 0-10 mtfBullScore + // 0-15 maBullScore // 0-10 // Total: 0-100 Entry signals require: Bullish confluence score >= minConfluenceScore (default: 70) Bearish confluence score < 30 (avoid conflicting signals) Optional session filter (London/NY sessions only) Signal tiers: LONG: Confluence score >= 70 STRONG LONG: Confluence score >= 80 ULTRA LONG: Confluence score >= 90 (rare, highest probability) Risk Management System The strategy implements comprehensive risk controls: 1. ATR-Based Position Sizing atr = ta.atr(14) stopLossDistance = atr * 2 // Calculate position size based on risk accountSize = strategy.equity riskAmount = accountSize * (riskPercent / 100) // Default: 2% positionSize = riskAmount / stopLossDistance 2. Dynamic Stop Loss and Take Profit // Dynamic stop based on market structure dynamicStopBull = math.min(close - stopLossDistance, ta.lowest(low, 10)) // Take profit based on risk:reward ratio takeProfit = close + (stopLossDistance * rewardRatio) // Default: 2:1 3. Breakeven Management // Move stop to breakeven when profit reaches threshold if close >= entryPrice + (stopLossDistance * breakevenTrigger) // Default: 1.0 R:R strategy.exit("Long Exit", "Long", stop=entryPrice, limit=takeProfit) 4. Trailing Stop (Optional) if useTrailingStop trailDistance = close * (trailOffset / 100) // Default: 1.5% strategy.exit("Long Exit", "Long", trail_offset=trailDistance) Strategy Execution Logic // Long Entry if longSignal and strategy.position_size == 0 stopLoss = dynamicStopBull takeProfit = close + (stopLossDistance * rewardRatio) strategy.entry("Long", strategy.long) strategy.exit("Long Exit", "Long", stop=stopLoss, limit=takeProfit) // Label with confluence score label.new(bar_index, low, "LONG Score: " + str.tostring(bullConfluenceScore), style=label.style_label_up, color=entryColor) // Short Entry (mirror logic) if shortSignal and strategy.position_size == 0 // Similar logic for short trades Performance Dashboard The strategy displays a comprehensive 12-row dashboard: Row 1: Component header Row 2: Current position (LONG/SHORT/FLAT) Row 3: Total confluence score (bull/bear) Row 4: CPR component score Row 5: HMA Ribbon component score Row 6: WaveTrend component score Row 7: Divergence component score Row 8: ADX component score Row 9: Volume component score Row 10: SMC component score Row 11: MTF component score Row 12: Equity and P&L percentage Strategy Parameters Strategy Settings: Use Multi-Timeframe Confirmation: Enable MTF analysis (default: enabled) Use Divergence Signals: Enable divergence component (default: enabled) Use Smart Money Concepts: Enable SMC component (default: enabled) Use Volume Confirmation: Enable volume component (default: enabled) Use CPR Levels: Enable CPR component (default: enabled) Use WaveTrend Signals: Enable WaveTrend component (default: enabled) Use HMA Alignment: Enable HMA component (default: enabled) Use Session Filter: Trade only during London/NY sessions (default: enabled) Minimum Confluence Score: Threshold for entry (default: 70, range: 50-100) Risk Management: Risk Per Trade %: Percentage of equity to risk (default: 2.0%, range: 0.1-10%) Reward:Risk Ratio: Take profit multiplier (default: 2.0, range: 1.0-5.0) Use Trailing Stop: Enable trailing stop (default: enabled) Trailing Stop %: Trail distance (default: 1.5%, range: 0.1-5.0%) Use Breakeven: Move stop to breakeven (default: enabled) Breakeven Trigger: R:R threshold to move stop (default: 1.0, range: 0.5-3.0) Indicator Parameters: RSI Length: Period for RSI (default: 14) ADX Length: Period for ADX (default: 14) ADX Threshold: Minimum ADX for strong trend (default: 20) Volume MA Length: Period for volume average (default: 20) HMA Length: Period for HMA (default: 21) WaveTrend Channel Length: (default: 10) WaveTrend Average Length: (default: 21) Backtesting Configuration Default strategy properties: Initial Capital: $10,000 Default Qty Type: Percent of Equity Default Qty Value: 10% Commission Type: Percent Commission Value: 0.1% (10 basis points) Slippage: 2 ticks Max Bars Back: 5000 These settings represent realistic trading conditions for the average trader. Commission and slippage account for typical broker fees and execution costs. How to Use This Strategy Step 1: Configure Components Enable/disable components based on your trading style. All components enabled provides maximum filtering but fewer trades. Step 2: Set Confluence Threshold Adjust minimum confluence score. Higher threshold (80-90) = fewer, higher-quality trades. Lower threshold (60-70) = more frequent trades. Step 3: Configure Risk Parameters Set risk per trade (1-2% recommended) and reward:risk ratio (2:1 minimum recommended). Enable breakeven and trailing stop for protection. Step 4: Backtest Thoroughly Run backtests on multiple timeframes and market conditions. Aim for 100+ trades for statistical significance. Review win rate, profit factor, and drawdown. Step 5: Analyze Component Contribution Use dashboard to see which components contribute most to winning trades. Consider adjusting weights or disabling low-value components. Step 6: Forward Test Paper trade the strategy before risking real capital. Verify that live results align with backtest expectations. Best Practices Use on 15-minute to 4-hour timeframes for optimal signal quality Confluence score above 80 produces highest win rate but fewer trades Enable all components for maximum filtering in volatile markets Disable some components for more frequent trades in trending markets Session filter (London/NY only) significantly improves results Risk 1-2% per trade maximum for sustainable trading Aim for minimum 2:1 reward:risk ratio Review dashboard component scores to understand trade quality Backtest on minimum 6-12 months of data Verify 100+ trades in backtest for statistical validity Strategy Limitations Confluence-based systems produce fewer trades - may not suit active traders Requires all components to align - perfect setups are rare Backtesting results may not reflect live trading with slippage and latency Multi-timeframe analysis can cause repainting on lower timeframes High confluence threshold (90+) may produce too few trades for some markets Commission and slippage significantly impact profitability Strategy optimized for trending markets - may underperform in ranges Past performance does not guarantee future results Requires understanding of all components for effective parameter tuning Complex system with many parameters - over-optimization risk Backtesting Considerations When evaluating backtest results: Sample Size: Minimum 100 trades for statistical significance Win Rate: 40-60% is realistic for 2:1 R:R strategy Profit Factor: Above 1.5 is good, above 2.0 is excellent Max Drawdown: Should be less than 20% of initial capital Sharpe Ratio: Above 1.0 indicates good risk-adjusted returns Trade Frequency: Should match your trading availability Equity Curve: Should show steady growth, not erratic spikes Consecutive Losses: Prepare for 5-10 consecutive losses Adjust parameters if: Win rate < 35% with 2:1 R:R (increase confluence threshold) Too few trades (< 50 in 6 months) (decrease confluence threshold or disable some components) Max drawdown > 25% (reduce risk per trade or increase confluence threshold) Profit factor < 1.2 (strategy may not be viable) Technical Implementation Built with Pine Script v6 using: 9-component confluence scoring system CPR calculations with width analysis 5-layer HMA ribbon with full alignment detection WaveTrend oscillator with divergence tracking Multi-oscillator divergence detection (RSI, MACD, Stoch RSI) ADX trend strength measurement Volume analysis with delta calculations Smart Money Concepts (FVG, OB, Liquidity Sweeps, Displacement) Multi-timeframe analysis (15M, 1H, 4H) ATR-based dynamic position sizing Breakeven and trailing stop management Comprehensive 12-row dashboard Session filtering (London/NY) The code is fully open-source and can be modified to adjust component weights, confluence thresholds, and risk parameters. Originality Statement This strategy is original in its comprehensive multi-component confluence approach. While individual components (CPR, HMA, WaveTrend, Divergences, ADX, Volume, SMC, MTF, Key MAs) are established analytical tools, this mashup is justified because: It integrates 9 independent analytical frameworks using fundamentally different data and methodologies The confluence scoring system quantifies setup quality across all components (0-100 scale) Each component addresses a different market dimension (structure, trend, momentum, strength, volume, institutional flow, timeframe alignment) Tiered signal system (LONG/STRONG/ULTRA) provides graduated confidence levels Comprehensive risk management with ATR-based sizing, breakeven, and trailing stops Component-level dashboard allows traders to understand what drives each trade Session filtering aligns with institutional trading hours Integration reveals complete market picture that no single indicator provides Each component contributes unique information: CPR provides structure, HMA shows trend quality, WaveTrend captures momentum cycles, Divergences warn of exhaustion, ADX measures strength, Volume confirms moves, SMC reveals institutional behavior, MTF ensures alignment, and Key MAs provide institutional context. The strategy's value lies in requiring confluence across these independent frameworks, significantly reducing false signals and focusing capital on only the highest-probability setups where all factors align. Disclaimer This strategy is provided for educational and informational purposes only. It is not financial advice or a recommendation to buy or sell any financial instrument. Trading involves substantial risk of loss and is not suitable for all investors. Backtesting results do not guarantee future performance. Past results, whether real or indicated by historical tests, are not indicative of future results. There are frequently sharp differences between backtested results and actual results subsequently achieved by any trading strategy. The confluence score is a mathematical calculation based on current market data, not a prediction of future price movement. High confluence scores do not ensure profitable trades. Market conditions change, and strategies that worked historically may not work in the future. Commission and slippage settings in backtests may not accurately reflect live trading conditions. Real trading results will vary based on execution quality, market liquidity, broker fees, and other factors not captured in backtesting. No representation is being made that any account will or is likely to achieve profits or losses similar to those shown in backtests. Users should thoroughly test any strategy in a paper trading environment before risking real capital. Always use proper risk management. Never risk more than you can afford to lose. The default 2% risk per trade is a guideline - adjust based on your personal risk tolerance and account size. Consider consulting with a qualified financial advisor before making investment decisions. The author is not responsible for any losses incurred from using this strategy. Users assume full responsibility for all trading decisions made using this tool. -Made with passion by officialjackofalltrades
אסטרטגיית Pine Script®
מאת ‎officialjackofalltrades‎
4
VSA Pro: Fixed Trigger LinesThis script is a professional Volume Spread Analysis (VSA) tool designed to identify market exhaustion (Climactic Action) and high-probability reversals. It specifically looks for "Selling Climax" bars in a bearish trend and triggers buy signals based on three distinct institutional liquidity scenarios: Liquidity Sweeps, Double Breakouts, and Re-entries. How it Works? The script monitors four core VSA components to identify a Climactic Bar: Selling Background: Price must be below the Trend EMA (default 50). Sell Candle: A bearish (Red) candle. Big Spread: The candle's body size must be significantly larger than the average spread. Ultra High Volume: Volume must be substantially higher than the recent average, signaling institutional "climax" activity. The 3 Trading Scenarios: Once a Climactic Bar is detected, the script plots a High Trigger (Green Line) and a Low Trigger (Red Line). It then waits for one of these scenarios to confirm a Buy: Scenario 1 (No Sweep - Double Confirmation): If the price does not touch the low trigger, the script requires a second momentum breakout above the high trigger to filter out fakeouts. Scenario 2 (Liquidity Sweep): If the price dips below the low trigger but closes back inside (a "Stop Run"), the script triggers a BUY on the very first momentum close above the high trigger. Scenario 3 (Re-entry): If the price breaks significantly below the low but then recovers with strong momentum to break the high trigger, it signals a powerful trend shift. Key Features: Dynamic Trigger Lines: Automatically plots High/Low levels of the climax bar. Momentum Filter: Signals only appear when a green "Momentum" candle closes above the trigger level. Fully Customizable: Adjust Volume and Spread multipliers to fit any timeframe (Best on 15m, 1H, and 4H). Visual Alerts: Background highlights and on-chart labels for easy identification. How to Use: Wait for a Diamond icon (Climactic Bar) and the appearance of Green/Red lines. Observe the price action around the Red (Low) line for sweeps. Enter a BUY trade when the Green "BUY" Label appears. Stop Loss: Ideally placed below the Low Trigger line. Take Profit: Next major resistance or 1:2 Risk/Reward ratio.
אינדיקטור Pine Script®
מאת ‎Selena_FX_Trader‎
Asset Liquidity Meter by Funded RelayAsset Liquidity Meter by Funded Relay This indicator estimates the liquidity of any asset by calculating the volume traded per unit of price movement (volume / (high - low)). Higher values generally indicate better liquidity (more volume in a smaller price range → easier to enter/exit positions with less slippage). Lower values suggest thinner liquidity (higher risk of price impact and volatility). The indicator displays: • Histogram: raw liquidity per bar (green = above SMA, red = below SMA) • SMA line: smoothed liquidity trend • Real-time info table in the top-right corner • Built-in alert conditions How to Use – Step by Step 1. Adding the Indicator - Open any chart on TradingView - Click the "Indicators" button at the top - Search for "Asset Liquidity Meter v6" (or find it in Community Scripts / My Scripts) - Click to add it to the chart - It will appear in a separate pane below the price chart 2. Customizing Settings Double-click the indicator name in the pane (or right-click → Settings): • SMA Length (default: 14) - Controls the smoothing period of the liquidity trend line - Smaller values (5–10) → more responsive, good for intraday/scalping - Larger values (20–50) → smoother trend, better for swing/position trading • Epsilon (default: 0.00000001) - Tiny value that prevents division-by-zero errors on flat bars (high = low) - Almost never needs to be changed • Colors - High Liquidity Color: histogram bars when liquidity > SMA - Low Liquidity Color: histogram bars when liquidity < SMA - SMA Line Color: color of the smoothed trend line • Show Alert Conditions in Menu - Keep enabled (true) to see the built-in alert options when creating alerts 3. Reading & Interpreting the Indicator • Histogram Bars (Raw Liquidity) - Height = amount of volume per unit of price range - Tall bars = high liquidity (market is "thick") - Short bars = low liquidity (market is "thin") - Green = current liquidity is stronger than the average (SMA) - Red = current liquidity is weaker than the average • Blue SMA Line - Shows the average liquidity over the selected period - Rising line → liquidity improving (more participants, easier trading) - Falling line → liquidity decreasing (thinner market, caution advised) • Info Table (top-right corner) - Displays current raw liquidity, SMA value, and status ("High Liquidity" / "Low Liquidity") - Updates in real-time on the last bar • Zero Line (dotted gray) - Visual reference — everything above zero is positive liquidity 4. Practical Trading Applications • High Liquidity Zones (green bars + rising SMA) - Favorable conditions for entering or scaling into positions - Lower expected slippage - Better for large orders • Low Liquidity Zones (red bars + falling SMA) - Higher risk of slippage and exaggerated price moves - Consider smaller position sizes or waiting for better conditions - Common during session opens/closes, holidays, or low-volume periods • Crossovers - Liquidity crossing above SMA → potential increase in market participation - Liquidity crossing below SMA → potential drying up of interest 5. Setting Up Alerts 1. Right-click on the chart → "Add Alert" 2. In "Condition", select "Asset Liquidity Meter v6" 3. Choose one of the available alert conditions: - Liquidity ↑ Crosses Above SMA - Liquidity ↓ Crosses Below SMA - Very High Liquidity (2× SMA) - Very Low Liquidity (<30% SMA) 4. Set frequency (Once Per Bar Close is usually best) 5. Configure notification (email, popup, sound, webhook, etc.) 6. Create the alert 6. Tips for Best Results • Works on all markets: stocks, forex, crypto, futures, indices • Best on timeframes with meaningful volume data (5 min and higher usually give clearest signals) • Compare liquidity across different assets or timeframes using multiple charts • Combine with support/resistance, volume profile or order flow tools for confirmation • Not a standalone signal — use in context with your overall strategy Limitations & Notes • This is an estimation based on OHLCV data — it does not show real order book depth • Results vary significantly between centralized exchanges, brokers and instruments • Zero-volume bars will show zero liquidity (expected behavior) Enjoy safer and more informed trading! Questions or suggestions? Feel free to comment below.
אינדיקטור Pine Script®
מאת ‎FundedRelay‎
Extreme HMA ATR BandsExtreme HMA ATR Bands Extreme HMA ATR Bands are a fast and smooth trend-following tool designed to capture directional moves while minimizing false signals across volatile markets. 🚀 Benefits • High responsiveness to market moves • Smooth trend tracking with fewer false signals • Strong performance on assets such as SOLUSD, SUIUSD, and CROUSD • Clear visual band structure for easier market interpretation 💡 Core Idea The indicator builds adaptive bands around a smoothed price structure derived from Hull-type processing. By focusing on extreme values and combining them into a balanced midpoint, the bands capture trend direction while maintaining smooth behavior. ATR is then applied to dynamically scale the bands according to market volatility. ⚙️ How It Works A fast-smoothed price series is calculated using Hull-style logic. Highest and lowest values of this series are measured over multiple stages. These extremes are processed again to balance responsiveness and smoothness. The resulting midpoint forms the base trend line. ATR is added and subtracted from this midpoint to generate adaptive upper and lower bands. The result is a fast yet stable band structure that reacts efficiently to market direction changes. 📌 Usage Notes • Price moving above the upper band suggests bullish pressure. • Price moving below the lower band suggests bearish pressure. • Band expansion signals increasing volatility. • Band contraction often indicates consolidation phases. Enjoy and trade smart.
אינדיקטור Pine Script®
מאת ‎MisinkoMaster‎
2
PSP with Color ThemesPSP (Price State Parity) Indicator This indicator identifies Price State Parity between the current trading instrument and a reference asset. It visually highlights candles where price movements show significant correlation patterns. Key Features: Dual Mode Operation: Divergence Mode (Default): Highlights candles where current and reference assets move in opposite directions Convergence Mode (Inverse): Highlights candles where both assets move in the same direction Customizable Visualization: Separate color selection for bullish and bearish PSP candles Adjustable transparency for optimal chart visibility Non-PSP candles remain unchanged for clear price action reading Flexible Reference Asset: Compare against any TradingView symbol (crypto, forex, stocks, indices) Default: ETH/USDT for crypto correlation analysis Use Cases: Crypto Correlation Trading: Spot divergence/convergence between crypto pairs Inter-Market Analysis: Compare stocks with sector ETFs or indices Forex Pairs Correlation: Analyze currency pair relationships Hedging Opportunities: Identify when correlated assets decouple How to Use: Select your reference symbol in settings Choose between Divergence or Convergence mode Customize colors to match your trading style Watch for highlighted candles indicating PSP signals Indicator Logic: Bullish PSP: Current candle bullish + Reference candle bearish (or same in inverse mode) Bearish PSP: Current candle bearish + Reference candle bullish (or same in inverse mode)
אינדיקטור Pine Script®
מאת ‎cryptomaniac_dt‎
DkS Market Structure Breakout Strategy Crypto & ForexDkS Market Structure Breakout Strategy Crypto & Forex 🔍 Overview DkSPro – Universal Market Analysis is a structure-based trading strategy designed for Crypto and Forex markets, focused on trend alignment, breakout confirmation, and volume validation. This strategy is built to filter low-quality trades, avoid ranging conditions, and reduce false breakouts by requiring multiple layers of confirmation before any trade is executed. It is intended for scalping and intraday trading, prioritizing consistency and risk control over trade frequency. 🧠 Strategy Logic (How It Works) DkSPro follows a sequential decision process, not a single-indicator signal: Trend Bias (EMA Structure) A fast and slow EMA define the directional bias. Long trades are only allowed during bullish EMA alignment. Short trades are only allowed during bearish EMA alignment. This prevents counter-trend and ranging-market entries. Market Structure & Breakout Validation The strategy identifies recent swing highs and lows. Trades are triggered only after a confirmed breakout of structure, not during consolidation. This avoids early entries and false momentum moves. Volume Confirmation Volume must exceed its moving average by a defined multiplier. This ensures participation and filters out low-liquidity breakouts. Volume thresholds adapt depending on the selected trading mode. Momentum Confirmation (RSI) RSI is used strictly as a momentum filter, not as a standalone signal. It confirms that price movement aligns with the breakout direction. Risk Management (Mandatory) Every position includes a predefined Stop Loss and Take Profit. Position sizing is based on a fixed percentage of equity, keeping risk per trade within sustainable limits. All conditions must align simultaneously; otherwise, no trade is executed. ⚙️ Trading Modes SAFE Mode Stronger volume and RSI thresholds Fewer trades, higher selectivity Designed for risk control and consistency AGGRESSIVE Mode Slightly relaxed filters Higher trade frequency during strong momentum Intended for experienced users only 📊 Markets & Assets This strategy has been actively used and tested on: 🟢 Crypto (Binance / Binance.US) SOL-USDT XRP-USDT Other high-liquidity pairs (BTC, ETH) Crypto mode benefits from stronger volume confirmation to adapt to higher volatility. 🔵 Forex Major pairs such as EURUSD, GBPUSD, USDJPY Optimized for liquid markets with lower relative volume The same structural logic applies to both markets, with volume behavior naturally adapting to each asset class. ⏱ Recommended Timeframes Crypto: 5m – 15m Forex: 15m – 1H Lower timeframes (1m) are not recommended due to noise and unreliable volume behavior. 🧪 Backtesting & Settings Transparency Default strategy properties are intentionally conservative to reflect realistic conditions: Initial capital: $20,000 Position size: 2% of equity Commission: 0.08% Slippage: 1 tick Fixed Stop Loss and Take Profit on every trade Backtests should be performed on sufficient historical data (ideally 6–12 months) to ensure a statistically meaningful sample size (100+ trades). 📈 Originality & Usefulness DkSPro is not a simple indicator mashup. Each component serves a specific role in a layered confirmation system: EMAs define direction Structure defines timing Volume validates participation RSI confirms momentum Risk management controls exposure Removing any layer significantly reduces signal quality. The strategy is designed as a complete decision framework, not a signal generator. ⚠️ Important Notes This script is an analysis and execution tool, not financial advice. Market conditions change, and no strategy performs well in all environments. Users are encouraged to backtest, forward test, and adjust position sizing according to their own risk tolerance. 🧩 Version Notice This publication represents a consolidated and refined version of an internal experimental script. No parallel or duplicate versions are intended. All future improvements will be released exclusively using TradingView’s Update feature. 🇪🇸 Descripción en Español (Resumen) DkSPro es una estrategia basada en estructura de mercado, diseñada para Crypto y Forex, que combina tendencia, ruptura de estructura, volumen y control de riesgo. Solo opera cuando todas las condiciones se alinean, evitando rangos, falsas rupturas y sobreoperar. Ha sido utilizada en Binance con pares como SOL-USDT y XRP-USDT, así como en Forex, siempre con gestión de riesgo fija y condiciones realistas.
אסטרטגיית Pine Script®
מאת ‎dksniewieders‎
3
Triple KDJ - CKThe Triple KDJ is a market-reading architecture based on multiscale confirmation, not a new indicator. It consists of the simultaneous use of three KDJ settings with different parameters to represent three levels of price behavior: short-, medium-, and long-term. The systemic logic is simple and robust: a move is considered tradable only when there is directional coherence across all three layers, which reduces noise, prevents entries against the dominant regime, and stabilizes decision-making. At the slowest level, the KDJ acts as a structural regime filter. It defines whether the market is, at that moment, permissive for buying, selling, or remaining neutral. When the slow KDJ shows the hierarchy J > K > D, the environment is bullish; when J < K < D occurs, the environment is bearish. If this condition is not clear, any signal on the faster levels should be ignored, as it represents only local fluctuation without directional support. The intermediate KDJ fulfills the role of continuity confirmation. It checks whether the impulse observed on the short-term level is supported by the developing move. In practical terms, it prevents entries based solely on micro-impulses that fail to evolve into real price displacement. When the intermediate KDJ replicates the same directional hierarchy as the slow KDJ, structure and movement are aligned. The fast KDJ is used exclusively as a timing tool, never as a standalone signal generator. This is where the J line reacts first, often emerging from extreme zones and offering the lowest-risk entry point. In the Triple KDJ, the fast layer does not “command” the trade; it simply executes what has already been authorized by the higher levels. The J line plays a central role in this architecture. In the fast KDJ, it anticipates the change in impulse; in the intermediate KDJ, it confirms the transformation of that impulse into movement; and in the slow KDJ, it determines whether the market accepts or rejects that direction. For this reason, in the Triple KDJ the correct reading is not about line crossovers, but about a consistent hierarchy among J, K, and D across multiple scales.
אינדיקטור Pine Script®
מאת ‎musashibruno‎
Lakshmi - Low Volatility Range Breakout (LVRB)⚡️ Overview The Low Volatility Range Breakout (LVRB) indicator is designed to identify consolidation phases characterized by suppressed volatility and generate actionable signals when price breaks out of these ranges. The underlying premise is rooted in the market principle that periods of low volatility often precede significant directional moves—volatility contraction leads to expansion. Important Note on Optimization: The default parameter settings of this indicator have been specifically optimized for BTCUSDT on the 2-hour (2H) timeframe. While the indicator can be applied to other instruments and timeframes, users are encouraged to adjust the parameters accordingly to suit different trading conditions and asset characteristics. This indicator automates the detection of "quiet" accumulation/distribution zones and provides clear visual cues and alerts when a breakout occurs. ⚡️ How to Use 1. Add the indicator to your chart. Default settings are optimized for BTCUSDT 2H. 2. Wait for a gray box to appear—this indicates a qualified low-volatility range is forming. 3. Monitor for breakout signals: • LONG (green triangle below bar): Price broke above the range. Consider entering a long position. • SHORT (red triangle above bar): Price broke below the range. Consider entering a short position. 4. Set alerts using "LVRB LONG" or "LVRB SHORT" to receive notifications on confirmed breakouts. 5. Adjust parameters as needed for different instruments or timeframes. Tip: Combine with volume analysis or trend filters for higher-probability setups. ⚡️ How It Works 1. Low Volatility Bar Detection A bar is classified as "low volatility" when it meets the following criteria: • True Range (TR) is at or below the average TR (Simple Moving Average) multiplied by a user-defined threshold. • (Optional) Candle Body is at or below the average body size multiplied by a separate threshold. This dual-filter approach helps isolate bars that exhibit genuine compression in both range and directional commitment. 2. Range Box Formation When consecutive low-volatility bars are detected, the indicator begins constructing a consolidation box: • The box expands to encompass the high and low of qualifying bars. • A minimum number of bars and a minimum fraction of low-volatility bars are required for the box to become "qualified" (active). • A configurable tolerance allows for a limited number of consecutive non-low-vol bars within the sequence, accommodating minor noise without invalidating the range. • If the box height exceeds a maximum threshold (defined as a multiple of the base ATR at sequence start), the range is invalidated. 3. Breakout Detection Once a qualified range is established, the indicator monitors for breakouts: • Wick Mode: Requires both a wick pierce beyond the range boundary AND a close outside the range. • Close Mode: Requires only a close beyond the range boundary. • (Optional) Breakout Body Filter: The breakout candle's body must exceed a multiple of the average body size at range formation. • (Optional) Candle Direction Filter: Bullish breakouts require a green candle; bearish breakouts require a red candle. Signals are displayed in real-time and confirmed upon bar close. ⚡️ Inputs & Parameters • Volatility Window: Lookback period for calculating average TR and average body size. • TR Multiplier: A bar's TR must be ≤ avgTR × this value to qualify as low-vol. • Body Multiplier: A bar's body must be ≤ avgBody × this value (if body filter is enabled). • Use Body Filter: Toggle the body size filter on/off. • Min Bars in Box: Minimum number of bars required for a range to become qualified. • Min Low-Vol Fraction: Minimum proportion of bars in the sequence that must be low-vol. • Allowed Consecutive Non-Low-Vol Bars: Tolerance for consecutive bars that do not meet low-vol criteria. • Max Box Height: Maximum allowed range height as a multiple of the base ATR. • Breakout Mode: Choose between "Wick" (pierce + close) or "Close" (close only). • Breakout Body Multiplier: Require breakout candle body ≥ avgBody × this value (1.0 = OFF). • Require Candle Direction: Enforce green candle for LONG, red candle for SHORT. ⚡️ Visual Features • Consolidation Boxes: Displayed in neutral (gray) color during formation. Upon a confirmed breakout, the box is colored green for bullish breakouts or red for bearish breakouts. • Breakout Signals: • LONG: Green upward triangle displayed below the price bar with "LONG" label. • SHORT: Red downward triangle displayed above the price bar with "SHORT" label. • Range Levels: Optional horizontal plots for the active range's high and low. • Invalidated Boxes: Optionally retained in neutral (gray) color or deleted from the chart. • Full Customization: Colors, transparency, and border width are all adjustable. ⚡️ Alerts Two alert conditions are available: • LVRB LONG: Triggered on a confirmed bullish breakout (bar close). • LVRB SHORT: Triggered on a confirmed bearish breakout (bar close). ⚡️ Use Cases • Breakout Trading: Enter positions when price escapes a well-defined low-volatility range. • Volatility Expansion Plays: Anticipate increased volatility following periods of compression. • Filtering Choppy Markets: Avoid trading during extended consolidation; wait for confirmed breakouts. • Multi-Timeframe Analysis: Use on higher timeframes to identify major consolidation zones. ⚡️ Notes • Best used in conjunction with volume analysis, trend context, or support/resistance levels for confirmation. • Performance varies across instruments and timeframes; backtesting and parameter optimization are recommended. ⚡️ Credits Developed by Lakshmi. Inspired by volatility contraction principles and range breakout methodologies. ⚡️ Disclaimer This indicator is provided for educational and informational purposes only. It does not constitute financial advice, investment recommendations, or a guarantee of profits. Trading financial instruments involves substantial risk, and you may lose more than your initial investment. Past performance, whether indicated by backtesting or historical analysis, does not guarantee future results. The use of this indicator does not ensure or promise any profits or protection against losses. Users are solely responsible for their own trading decisions and should conduct their own research and/or consult with a qualified financial advisor before making any investment decisions. By using this indicator, you acknowledge and accept that you bear full responsibility for any trading outcomes.
אינדיקטור Pine Script®
מאת ‎lakshmivibha‎
23
Anchored VWAP PercentageINDICATOR: ANCHORED VWAP PERCENTAGE (AVWAP) 1. Overview The Anchored VWAP Percentage (AVWAP) is a quantitative momentum and mean-reversion tool. It measures the percentage distance between the current price and a Volume Weighted Average Price (VWAP) that resets automatically based on specific time cycles. It allows traders to identify overextended market conditions relative to institutional value. --- 2. Core Logic & Calculation The script tracks the relationship between price and volume starting from a specific Anchor Point . * Volume-Weighted Foundation: Unlike simple moving averages, this indicator uses the VWAP formula: sum(Volume * Price) / sum(Volume) . * Automatic Anchoring: The starting point (Anchor) resets automatically depending on the chart timeframe (e.g., resets weekly on a 15m chart, or yearly on a Daily chart). * Percentage Deviation: It calculates the precise gap between the price and the VWAP, plotted as an oscillator: ((Price - VWAP) / VWAP) * 100 . --- 3. Adaptive Intelligence (Multi-Asset & Multi-TF) The AVWAP is built with an internal database of 85th Percentile (P85) volatility thresholds. It recognizes that different assets have different "stretching" limits: 1. Asset-Specific Calibration: It includes optimized data for Bitcoin, Ethereum, Altcoins, Forex, and Indices . 2. Dynamic Timeframe Mapping: The anchor period and the exhaustion thresholds adjust automatically. For example: * Intraday (1m-5m): Anchors to an 8-hour (480 min) cycle. * Mid-Term (15m-60m): Anchors to a Weekly (W) cycle. * Swing (Daily): Anchors to a Yearly (12M) cycle. --- 4. Visual Anatomy The indicator is designed for high-speed decision-making: * The Histogram: * Green: Price is trading above the VWAP (Bullish premium). * Red: Price is trading below the VWAP (Bearish discount). * P85 Threshold Lines: * These lines represent the 85th percentile of historical deviations . Historically, the price stays within these boundaries 85% of the time. * Background Highlighting: When the histogram crosses the P85 line, the background glows, signaling a Statistical Exhaustion Zone where a retracement to the mean is highly probable. --- 5. How to Trade with AVWAP * Mean Reversion: When the histogram reaches the P85 Zone , the price is "statistically overextended." This is a prime area to look for reversals or to take profits on existing trends. * Trend Strength: If the histogram stays near the Zero Line while the price moves, the trend is supported by healthy volume. * Value Area: The Zero Line represents the Fair Value . Buying near the Zero Line during a bullish histogram (Green) offers a high-probability entry with low risk. --- 6. Technical Parameters * Asset Selection: A dropdown to switch between Crypto, Forex, and Indices. * Color Customization: User-defined colors for bullish and bearish sentiment. * Precision Control: 4-decimal precision for accurate tracking of thin-margin assets like Forex.
אינדיקטור Pine Script®
מאת ‎AlchimistOfCrypto‎
1
Stock School IRL & ERLThis indicator is designed to help traders clearly identify liquidity levels on the chart using IRL (Internal Range Liquidity) and ERL (External Range Liquidity). Liquidity is where the market is attracted. Price does not move randomly — it moves from one liquidity pool to another. With this indicator, you can: • Visually mark IRL (internal liquidity resting inside the range) • Identify ERL (external liquidity above highs & below lows) • Understand where Smart Money targets stops • Anticipate liquidity sweeps, fake breakouts, and reversals • Improve entries, exits, and trade patience This tool helps you stop guessing and start reading market intent. Best used with: Price Action Market Structure Smart Money Concepts (SMC) Works across: Stocks • Indices • Forex • Crypto ⚠️ This indicator does not give buy/sell signals. It provides context, so you trade with logic, not emotions. If you understand liquidity, you understand where the market is going next.
אינדיקטור Pine Script®
מאת ‎stockschoolindia‎
2
Dimensional Support ResistanceDimensional Support Resistance Overview Dimensional Support Resistance is an open-source overlay indicator that automatically detects and displays clean, non-overlapping support and resistance levels using pivot-based analysis with intelligent filtering. It identifies significant swing highs and lows, filters them by minimum distance to prevent visual clutter, and provides volume-confirmed bounce signals. What This Indicator Does The indicator calculates and displays: Dynamic Pivot Levels - Automatically detected swing highs and lows based on configurable pivot strength Distance Filtering - Ensures levels are spaced apart by a minimum percentage to prevent overlap S/R Zones - Visual zones around each level showing the price area of significance Bounce Detection - Identifies when price reverses at support or resistance levels Volume Confirmation - Strong signals require above-average volume for confirmation How It Works Pivot detection scans for swing highs and lows using a configurable strength parameter. A pivot low requires the low to be lower than all surrounding bars within the strength period. Signal Generation The indicator generates bounce signals using TradingView's built-in pivot detection combined with candle reversal confirmation: Support Bounce: Pivot low forms with bullish close (close > open) Resistance Bounce: Pivot high forms with bearish close (close < open) Strong Bounce: Bounce occurs with volume 1.5x above 20-period average A cooldown period of 15 bars prevents signal spam. Dashboard Panel A compact dashboard displays: Support - Count of active support levels Resistance - Count of active resistance levels Dashboard position is configurable (Top Left, Top Right, Bottom Left, Bottom Right). Visual Elements Support Lines - Green horizontal lines at support levels Resistance Lines - Red horizontal lines at resistance levels S/R Zones - Semi-transparent boxes around levels showing zone width Price Labels - S: and R: labels showing exact price of nearest levels BOUNCE Markers - Triangle shapes with text when price bounces at a level STRONG Markers - Label shapes when bounce occurs with high volume Input Parameters Lookback Period (default: 100) - Historical bars to scan for pivots Pivot Strength (default: 8) - Bars on each side required for valid pivot (higher = fewer but stronger levels) Max Levels Each Side (default: 2) - Maximum support and resistance levels displayed Zone Width % (default: 0.15) - Width of zones around each level as percentage of price Min Distance Between Levels % (default: 1.0) - Minimum spacing between levels to prevent overlap Show S/R Zones (default: true) - Toggle zone visualization Show Bounce Signals (default: true) - Toggle signal markers Support Color (default: #00ff88) - Color for support elements Resistance Color (default: #ff3366) - Color for resistance elements Suggested Use Cases Identify key support and resistance levels for entry and exit planning Use bounce signals as potential reversal confirmation Combine with other indicators for confluence-based trading decisions Monitor strong signals for high-probability setups with volume confirmation Timeframe Recommendations Works on all timeframes. Higher timeframes (4H, Daily) provide more significant levels with fewer signals. Lower timeframes show more granular structure but may produce more noise. Limitations Pivot detection requires lookback bars, so very recent pivots may not be immediately visible Bounce signals are based on pivot formation and may lag by the pivot strength period Levels are recalculated on each bar, so they may shift as new pivots form Open-Source and Disclaimer This script is published as open-source under the Mozilla Public License 2.0 for educational purposes. It does not constitute financial advice. Past performance does not guarantee future results. Always use proper risk management and conduct your own analysis before trading. - Made with passion by officialjackofalltrades
אינדיקטור Pine Script®
מאת ‎officialjackofalltrades‎
32