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SuperTrend + RSI & MA Signals by HillolSuperTrend + RSI/MA Cross Signals Overview This is a trend-following confirmation indicator that plots directly on the main price chart. It combines the trend-detecting power of the SuperTrend with the momentum confirmation of the Relative Strength Index (RSI) and its Moving Average. Instead of cluttering your chart with lines, it runs the calculations in the background and prints clean "BUY" and "SELL" labels when all conditions align. How the Signals Work The script looks for a shift in the primary trend, but filters out false breakouts by requiring momentum confirmation from the RSI. Buy Signal: Fires when the SuperTrend flips from Bearish to Bullish (Red to Green) AND the RSI is currently trading above its Moving Average. Sell Signal: Fires when the SuperTrend flips from Bullish to Bearish (Green to Red) AND the RSI is currently trading below its Moving Average. Settings Breakdown 1. SuperTrend Settings ATR Length (Default: 10): The lookback period for the Average True Range. Higher numbers make the indicator less sensitive to recent price spikes. Factor (Default: 3.0): The multiplier for the ATR. A higher factor keeps you in trades longer but triggers signals later. A lower factor triggers earlier but may cause "whipsaws" (false signals). 2. RSI & RSI MA Settings RSI Length (Default: 14): The lookback period for calculating the RSI. RSI Source (Default: Close): The price point used for the calculation. RSI MA Length (Default: 14): The lookback period for the Moving Average applied to the RSI. RSI MA Type (SMA vs EMA): Choose whether the RSI's average is a Simple Moving Average (smoother, slower) or an Exponential Moving Average (reacts faster to recent momentum changes). 3. Signal Logic Settings Require ST Flip & RSI Cross on the EXACT same candle? (Default: Unchecked) Unchecked (Recommended): The script fires a signal if the SuperTrend flips green and the RSI is already above its MA. This is the most practical setting, as trend flips and momentum crosses rarely occur on the exact same tick. Checked (Strict): The script will ONLY fire a signal if the SuperTrend flips direction and the RSI crosses its MA on the exact same candle. This is highly restrictive and will result in very few signals. Best Practices for Use Because this indicator relies on the SuperTrend, it performs best in trending markets. During ranging or sideways markets, the SuperTrend may flip back and forth rapidly. The RSI MA condition is built in to filter out some of this "chop," ensuring you only enter trades when momentum supports the new trend direction.
Pine Script® göstergesi
hillol_prakkan tarafından
Support & Resistance Threesome [Zofesu]Support & Resistance Threesome is an overlay indicator that tracks up to twelve simultaneous liquidity zones across two structural levels — major and minor — and combines zone interaction data with an RSI-based smart entry filter to produce high-probability reversal signals directly at institutional price levels. The three components work as a system: zones define where price is expected to react, touch counting measures how many times the level has been tested and held, and the entry filter ensures signals fire only when momentum conditions align with the zone interaction. ───────────────────────────────────── 01 — What is S/R Threesome? ───────────────────────────────────── S/R Threesome detects pivot-based support and resistance zones and tracks them dynamically across the chart. Each zone is built around a confirmed swing high or low, padded by a configurable buffer, and updated in real time as price interacts with it. The indicator tracks two structural levels simultaneously: Major zones — built from wider swing lookback (default 20 bars). These represent significant structural levels where institutional activity is more likely. Minor zones — built from shorter swing lookback (default 8 bars). These represent recent, lower-timeframe levels within the larger structure. Up to three zones per type are tracked simultaneously — three major resistance, three major support, three minor resistance, three minor support — twelve zones total. ───────────────────────────────────── 02 — Zone Lifecycle ───────────────────────────────────── Each zone passes through three states: Active — zone is intact, price has not closed beyond it. The zone extends forward in real time and darkens with each confirmed touch. Confirmed — zone has been tested at least twice (touch count ≥ 2). Border changes to yellow. A confirmed zone is a higher-probability level — it has held under pressure more than once. Filled — price closed beyond the zone boundary. The box turns gray with a dashed border, marking the zone as invalidated. A filled resistance that price returns to often acts as new support, and vice versa. ───────────────────────────────────── 03 — Touch Count and Visual Intensity ───────────────────────────────────── Every time a confirmed bar closes with price interacting with a zone boundary, the touch counter increments (maximum 5). The zone responds visually: Touch 1 — lightest fill, thinnest border Touch 2 — zone confirmed, yellow border Touch 3 — medium fill intensity Touch 4+ — darkest fill, thickest border This system makes the most tested zones immediately visible — heavier zones have held under more pressure and carry more institutional weight. ───────────────────────────────────── 04 — Buffer System ───────────────────────────────────── Zones are not single price lines — they are areas with a configurable half-width on both sides of the pivot price. Three buffer modes are available: ATR — zone width adapts to current volatility. Default multiplier: 0.5. Recommended for most markets. Percent — fixed percentage of current price. Default: 0.15%. Fixed — absolute tick-based value. Default: 500 ticks. Use for specific instruments with known pip structures. Duplicate filter: zones that form within 3× buffer distance of an existing major zone, or 2× for minor zones, are suppressed to prevent visual clutter from overlapping levels. ───────────────────────────────────── 05 — Smart Entry System ───────────────────────────────────── Entry signals fire when two conditions align simultaneously: 1. Price interacted with a major support or resistance zone on the previous bar (low touched support zone / high touched resistance zone) 2. RSI confirms momentum exhaustion — oversold for long entries (default below 35), overbought for short entries (default above 65) A stop loss line is drawn automatically at the time of entry — positioned below the support zone bottom for longs, above the resistance zone top for shorts, with an additional SL buffer applied. The zone must also be older than the maximum of both swing lookback periods — this prevents entries on zones that were just created and not yet validated by subsequent price action. ───────────────────────────────────── 06 — Settings ───────────────────────────────────── Liquidity Zones Major Swing Lookback — pivot detection window for major zones. Default: 20. Minor Swing Lookback — pivot detection window for minor zones. Default: 8. ATR Length — ATR lookback for buffer calculation. Default: 14. Max Zone Age (bars) — zones older than this are replaced. Default: 300. Buffer Buffer Mode — ATR / Percent / Fixed. Default: ATR. ATR Multiplier — zone half-width as ATR multiple. Default: 0.5. Percent Buffer % — zone half-width as % of price. Default: 0.15%. Fixed Buffer — zone half-width in ticks. Default: 500. Entry — RSI RSI Length — default: 14. RSI Overbought — short entry filter threshold. Default: 65. RSI Oversold — long entry filter threshold. Default: 35. Entry — SL SL Mode — ATR / Percent / Fixed. Default: ATR. SL ATR Multiplier — SL distance as ATR multiple. Default: 1.5. SL Percent % — SL as % of price. Default: 0.5%. SL Fixed (pips) — SL in ticks. Default: 800. Entry — Visual Show Entry Signals — enable/disable arrows and SL lines. SL Line / Long Arrow / Short Arrow — color settings. Colors Major Resistance / Support — zone fill color for major levels. Minor Resistance / Support — zone fill color for minor levels. Filled Zone — border color for invalidated zones. Resistance / Support Border — active zone border color. Confirmed Border — border color when touch count ≥ 2. Default: yellow. ───────────────────────────────────── 07 — How To Use ───────────────────────────────────── Step 1 — Identify the active zones Major zones (darker, thicker border) are the primary levels. Minor zones provide secondary context within the structure. Step 2 — Watch for confirmed zones Yellow border = zone has been tested and held at least twice. These are the highest-priority levels to trade from. Step 3 — Wait for the entry signal A triangle arrow appears when price touches a major zone with RSI confirming exhaustion. The SL line shows the invalidation level automatically. Step 4 — Read zone fill intensity Darker fill = more touches = stronger institutional interest at that level. Lighter fill = fresh zone, treat with less conviction. Step 5 — Monitor filled zones Gray dashed zones that price returns to after being filled often flip polarity — former resistance becomes support and vice versa. Watch for interaction at these levels even after they are invalidated. Step 6 — Alerts Two alert conditions are pre-configured: S/R-3: LONG — long entry at support zone with RSI oversold S/R-3: SHORT — short entry at resistance zone with RSI overbought Works on all asset classes: Indices, Forex, Gold, Oil, Crypto. Best timeframes: H1, H4, D1.
Pine Script® göstergesi
Zofesu tarafından
TASC 2026.06 One Percent A Week - Adaptive█ OVERVIEW This script implements a variant of Dion Kurczek's "High-Probability Weekly Trading Strategy For TQQQ" concept, as presented in his article "Part 2: Variations and Community Enhancements" in the June 2026 edition of the TASC Traders' Tips . In the article, the author explores multiple possible revisions to the original strategy. In this publication, we've adapted the final revision presented in the article: the "Adaptive Weekly Momentum Exit" model. █ BACKGROUND The One Percent a Week strategy was recently introduced in the  March 2026 publication . It utilizes the 3x leverage and volatility of TQQQ to attempt to capture 1% weekly profit from reactive moves made early in the week. The system was designed with simple, strict trading rules to prevent overtrading and control drawdown. Although this was the goal, the system left room for improvements to the base concept. The original system used the following mechanics: Enter a trade after a 1% dip from the Monday open. Set an initial profit target of 1% for the open trade. If the trade's drawdown is 0.5% or greater, create a short limit order to fill at the entry price. Close the trade at the end of the week, regardless of profit or loss. The version discussed in this article overhauls most of these mechanics. It preserves the same premise of striving for 1% average weekly returns, but aims to minimize drawdowns and allow for conditionally higher profit targets by introducing the following improvements: Entry on Monday open : The strategy enters a trade at the open of each Monday rather than waiting for a 1% dip, increasing market exposure. Dynamic profit target : The initial profit target for each trade is 7%. Depending on the trade performance during the Monday session, the target increases by 1.1%, decreases to 2.5%, or remains unchanged. Momentum-weakness exit : If the trade's performance is strong on Monday and begins to weaken on Tuesday, the system places a market order to exit the trade to avoid potential increased losses. Hard stop-loss : Each trade has a fixed 1.5% stop-loss order to prevent trades from further deterioration. █ THE RULES The rules of the "Adaptive Weekly Momentum Exit" model discussed in the article differ significantly from those in the original strategy. The rules for this version are as follows: Enter a new trade at Monday's open. Set a fixed stop-loss order at 1.5% below the entry price. Set an initial take-profit order at 7% above the entry price. Check the trade's performance at the end of Monday. If the trade is still open and the profit is greater than 0.3%, multiply the take-profit price by 1.011 to allow a potential profit of 8.177%. If the open profit is currently zero or negative, reduce the target to 2.5%. At the end of Tuesday, check for a momentum-based exit condition. If the return was above a specified threshold on Monday (2% by default) but fails to meet a separate threshold on Tuesday (3% by default), indicating a loss of momentum, place an order to close the position early. If the position is open at the end of the week, close it immediately. ▌Properties Position Sizing : Sizing is 10% of equity, the same as in the article. Commissions : Commission value is set to $0. Most major US brokers charge $0 commission on stocks and ETF trades, including leveraged ETFs such as TQQQ. Slippage : Slippage is not discussed in the article and likewise has not been included in this strategy. Note: This script enables "Recalculate after order is filled" by default, allowing the strategy to update trades and orders on the same bar to match the intended mechanics discussed in the article. Using this setting by default results in a warning in the strategy report because it can cause lookahead bias in some scripts. However, this script does not leak future price data into the past to control its orders or logic. █ DISPLAY Similar to the strategy published for Part 1, this script plots lines to visualize the levels that it uses for order execution: Entry price : The blue line plots the entry price for the position, which is placed at Monday's opening price. -1.5% Hard stop : The red dashed line is the level at which the 1.5% fixed stop loss is placed. Profit target : The solid green line shows the profit target. █ INPUTS "Monday %" and "Tuesday %" : These thresholds adjust the parameters of the loss-of-momentum exit. An early exit occurs if trade's return percentage as of Monday is greater than the "Monday %" value, and the current percentage on Tuesday is less than the "Tuesday %" value. The default percentages are the specific values referenced in the article.
Pine Script® stratejisi
PineCodersTASC tarafından
Jeetu Opening Range Breakout Strategy [JORB]Jeetu Opening Range Breakout Strategy Overview The Jeetu Opening Range Breakout (JORB) indicator is a clean, multi-session tool designed to map out key opening ranges and capture breakout momentum based on dynamic midlines. It allows traders to define two independent trading sessions with customizable time frames and time zones (defaulted to Indian Standard Time, UTC+5:30). Key Features Session 1 (Breakout Session): Tracks your initial defined opening range (default: 09:11 - 09:15). Once the session concludes, the indicator projects the high, low, and a 50% Midline. Midline Crossover Flip Logic: For Session 1, real-time buy and sell breakout signals trigger when the price crosses over or under the 50% midline. To minimize false signals and noise, the script utilizes a built-in state machine ensuring that signals alternate (a buy signal requires the previous action to have been flat or short, preventing repetitive signals in a consolidation area). Session 2 (Visual Reference Only): Features a dedicated second session tracking a separate time block (default: 14:00 - 15:30). Designed for clean chart aesthetics, it charts exclusively the 50% Midline for visual bias tracking, completely stripped of historical clutter, extra high/low boundary lines, or noisy alerts. Clean Settings Layout: Styled directly to integrate seamlessly with the TradingView inputs interface, allowing quick configuration adjustments. How to Use Breakout Trades: Look for Session 1 shapes on your chart when the candle body crosses and confirms beyond the 50% midline zone. Trend/Bias filter: Use the standalone Session 2 midline plot as a visual guide to see where the late-day price action is leaning relative to its afternoon range. Disclaimer (Financial Risk Disclosure) High-Risk Warning: Trading financial instruments (including stocks, futures, options, forex, and cryptocurrencies) involves substantial risk of loss and is not suitable for every investor. The valuation of financial instruments may fluctuate, and as a result, clients may lose more than their original investment. Educational Purpose Only: This script and its associated content are provided strictly for educational and informational purposes. Nothing contained herein constitutes investment, legal, or tax advice. Past performance is not a guarantee or a reliable indicator of future results. No simulated or hypothetical trading algorithm can completely mimic the risks of live market execution. Always perform your own thorough backtesting and practice proper risk management before risking live capital. You trade entirely at your own risk.
Pine Script® göstergesi
jeetunse tarafından
1
SUMIT GOLD USBSUMIT GOLD USB Best Gold Trading Indicator for 15 Minute Timeframe. Features: • EMA 5, EMA 10, EMA 21 Trend System • Buy & Sell Signals • Strong Buy/Sell Crossovers • Long Term Trend Signals • UT BOT Confirmation • Auto Stop Loss & Take Profit Levels • Gold Scalping & Intraday Setup • Trading Alerts Included Best For: • XAUUSD / GOLD • 15 Minute Timeframe • Scalping • Intraday Trading Signal Logic: • EMA 5 crossing EMA 10 = Strong Signals • EMA 5 crossing EMA 21 = Long Trend Signals • UT BOT confirms entry direction • SL & TP automatically displayed Recommended: • Use during London & New York Sessions • Avoid high impact news timing
Pine Script® göstergesi
hemzmerai tarafından
Healthy Growth Benchmark Strategy v3 A capital-efficient benchmark strategy for testing whether controlled long exposure can beat passive buy-and-hold on the same chart. Mechanics: - Enters one long position after the benchmark start date - Uses 140% of equity as the default position size - Uses 50% long margin settings to model capital-efficient exposure - Closes the position on the last confirmed historical bar so TradingView realizes the P&L in the Strategy Tester - Tracks SPY, QQQ, and chart-symbol buy-and-hold returns inside an on-chart benchmark table - Shows multiples vs S&P 500, Nasdaq 100, and the active chart symbol Current TQQQ 1D backtest: - Test window: Feb 11, 2010 to May 19, 2026 - Strategy return: +42,332.47% - TQQQ buy-and-hold return: +31,608.70% - Delta over buy-and-hold: +1,072,396.48 USD on 10,000 USD initial capital - Multiple vs buy-and-hold: ~1.34x - Max equity drawdown: 29.2% - Total trades: 1 - Margin calls: 0 Nuance: This is intentionally simple. It is not a predictive signal engine, trend model, or market-timing system. The script is designed to isolate one question: how much does modest additional capital exposure change long-run benchmark performance? The edge here comes from position sizing and compounding, not from frequent entries and exits. That also means the risk is straightforward: if the underlying asset suffers a deep enough drawdown, margin exposure can amplify losses. The clean backtest result should be read as a historical benchmark experiment, not a promise of future outperformance. Educational use only. Not financial advice.
Pine Script® stratejisi
HyperSignals tarafından
Intraday EMAShort Description Dynamic EMA Envelope based on recent hourly high/low structure with optional single EMA mode. Full Publishing Description Intraday EMA Envelope Intraday EMA Envelope is a lightweight trend-following indicator designed for intraday traders who want adaptive EMA-based structure visualization. The script derives EMA reference lengths from recent hourly market behavior using highest and lowest price offsets over a configurable lookback period. Features • Adaptive EMA logic based on hourly market structure • Optional Single EMA mode • EMA Envelope visualization with fill zone • Smooth EMA calculations for cleaner trend tracking • Real-time EMA length display table • Mutually exclusive display modes for clean chart appearance How It Works The indicator scans hourly candles over the selected lookback period and calculates: Highest high offset Lowest low offset These offsets are converted into dynamic EMA reference lengths. Two smoothed EMAs are then plotted: Upper EMA Lower EMA Users can choose between: Single EMA mode EMA Envelope mode Both modes are intentionally made mutually exclusive to avoid chart clutter. Inputs • Lookback Days Controls the hourly historical range used for EMA calculations. • Show Single EMA Displays only one smoothed EMA. • Show EMA Envelope Displays the EMA channel/envelope with fill. Best Usage This indicator works best for: Intraday trend identification Pullback trading Dynamic support/resistance tracking Trend continuation setups
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ManishDhyani tarafından
Yield Spread MacroYield Spread Macro — Indicator Guide What it does This indicator compares the interest rate differential between two countries against the actual FX price of their currency pair, both plotted on the same normalised scale so they can be directly compared. The core idea is that exchange rates are fundamentally driven by the difference in yields between two economies — when one country's rates are significantly higher than another's, capital tends to flow toward the higher-yielding currency, pushing its price up. This indicator tracks whether the FX price is keeping up with that yield story or diverging from it. What you're looking at on the chart Blue line — Yield Spread (z-score) The interest rate differential between the US and the local country, normalised to show where it sits relative to its own history. Above zero means the spread is above average. Below zero means it has compressed. Aqua line — FX Price (z-score) The FX pair price, normalised on the same scale as the spread so the two can be directly compared. Shaded fill between the lines The gap between the spread and price. When this gap is wide, the two series have diverged — price is not reflecting what the rate differential is saying. Coloured line (lime/yellow/orange/red) — Rolling Correlation This is the most important line on the chart. It measures how closely the yield spread and FX price are actually tracking each other over the selected window. Think of it as a trust meter for the spread signal: 🟢 Above 0.80 — strong alignment, spread is a reliable guide right now 🟡 0.40–0.80 — moderate, use alongside other inputs 🟠 0.20–0.40 — weak, something else is driving the pair 🔴 Below 0.20 — regime shift, the spread relationship has broken down entirely Green background / ▲ DIV label The yield spread is rising but price has not caught up yet. If correlation is strong this suggests price may follow higher. If correlation is weak, treat it as a tension signal rather than a directional call. Red background / ▼ DIV label The yield spread is falling but price has not caught down yet. Price is elevated relative to where the rate differential says it should be. Same caveat — only a strong correlation makes this actionable. Horizontal dotted lines The ±1σ and ±2σ bands show historically stretched levels. When either the spread or price z-score pushes beyond ±2, it is statistically extended relative to the lookback window. Settings explained Pair Settings FX Pair The currency pair you want to analyse. Options are USDJPY, USDCAD, EURUSD, GBPUSD, AUDUSD. Changing this automatically updates all yield series, breakeven data, and FX price feeds — you don't need to change anything else. Yield Timeframe The timeframe used to fetch yield data. Default is Daily. Leaving this at D is recommended regardless of what chart timeframe you are on — yield data is most meaningful and cleanest on a daily basis. General Settings Normalization Length The lookback window for the z-score calculation — how many bars of history the indicator uses to compute the average and standard deviation that everything is measured against. Lower (20–50) — reactive, reflects recent history only, z-score moves frequently Default (100) — roughly five months on a daily chart, good medium-term context Higher (200–300) — structural, slow-moving, only flags genuinely historical extremes If you are a shorter-term trader bring this down. If you want to see where things sit in a multi-year context bring it up. Spread EMA Smoothing Applied to the raw yield spread before it gets z-scored. Yield data can print erratic single-day spikes due to auction flows or data feed quirks. This smooths those out. Lower (3–5) — close to raw spread, more reactive, more noise Default (10) — removes day-to-day jitter while still tracking real moves Higher (20–30) — only responds to sustained shifts in the differential, very smooth Divergence Settings Divergence Lookback (bars) How far back the indicator looks when deciding whether the spread and price are moving in opposite directions. A divergence is flagged when the spread has moved one way and price has moved the other way over this window. Lower (3–5) — very sensitive, signals fire frequently, more noise Default (10) — roughly two trading weeks on a daily chart Higher (20–30) — only flags sustained, structural divergences Min Z-Score Gap to Flag Div The minimum difference between the spread z-score and price z-score required before a divergence label appears. This prevents the labels from firing when the two lines are close together and the divergence is trivial. Lower (0.1–0.2) — more signals, lower quality Default (0.3) — reasonable filter for meaningful gaps Higher (0.5+) — only the most extreme divergences get flagged Correlation Settings Correlation Length (bars) The rolling window used to measure how tightly the yield spread and FX price are tracking each other. This is the most important setting to understand. Lower (20–30) — very reactive, correlation shifts quickly, good for seeing regime changes as they happen but noisy Default (60) — roughly three months on a daily chart, captures a meaningful regime without being too slow Higher (120–200) — slow-moving, tells you about the long-run structural relationship rather than the current regime Plot Correlation Line Toggle the correlation line on or off. If you find the chart visually busy you can turn this off and rely on the table value instead. Display Settings Show Zero Line — the dashed horizontal line at zero. Useful reference for whether z-scores are above or below their historical average. Show ±1σ / ±2σ — the dotted band lines. Turn off if you want a cleaner chart. Show Data Table — the data panel in the top right corner showing all live values including FX price, yields, real yield, implied breakeven, spread in basis points, z-scores, divergence status, and correlation reading. Turn off if you don't need it or are using the indicator on a small screen. How to read it in practice The right workflow is to check the correlation first, then the divergence, in that order. Check correlation. If it is below 0.40 the spread is not currently driving the pair and the divergence signals should be treated with scepticism. Something else — geopolitics, intervention risk, risk sentiment — is dominant. Check the spread z-score. Is the differential historically stretched or compressed? Above +2 or below −2 is a significant reading. Check the divergence. Is price keeping up with the spread or lagging it? A green divergence with strong correlation means price may have room to catch up higher. A red divergence with strong correlation means price may have room to correct lower. Use the real yield toggle. Switching between nominal and real yields shows you how much of the spread is being driven by inflation expectations versus actual rate differentials. If the two modes show very different spreads, inflation expectations are a significant part of the story. The indicator works best on a daily chart with the yield timeframe set to D. It is a macro context tool, not a precise entry signal — it tells you whether the fundamental backdrop supports a directional bias, and how much to trust that signal right now.
Pine Script® göstergesi
Wrangly tarafından
ICT Trading Sessions & Killzones [Income Statement]Track the world's major trading sessions, session ranges, overlaps, quartiles, previous session highs/lows, and ICT killzones — all directly on your chart with a clean institutional-style visualization. This indicator is designed for traders who focus on: • Intraday trading • ICT concepts • Session liquidity • Killzones • Range expansion • Market structure timing • Forex / indices / crypto session behavior ━━━━━━━━━━━━━━━━━━ FEATURES ✅ Major Trading Sessions • Tokyo Session • London Session • New York Session • Optional Sydney Session Each session dynamically tracks: • Session High • Session Low • Live Session Range • Midpoint (50%) • Quartiles (25% / 75%) ━━━━━━━━━━━━━━━━━━ ✅ ICT Killzones Built-in ICT-inspired killzones: 🔵 London Killzone (02:00 → 05:00 New York time) 🟢 New York Killzone (07:00 → 10:00 New York time) Killzones automatically expand with live price action and remain visible after completion. ━━━━━━━━━━━━━━━━━━ ✅ Session Overlaps Highlights the most important liquidity overlaps: ⚡ Tokyo + London Overlap ⚡ London + New York Overlap These periods often produce: • Increased volatility • Liquidity grabs • Expansion moves • Session reversals • Breakout conditions ━━━━━━━━━━━━━━━━━━ ✅ Previous Session Highs & Lows Displays dashed extended levels for: • Previous Tokyo High/Low • Previous London High/Low • Previous New York High/Low • Previous Sydney High/Low Useful for: • Liquidity targeting • Sweep detection • PD arrays • Support / resistance mapping ━━━━━━━━━━━━━━━━━━ ✅ Live Session Statistics Table Real-time table includes: • Session status (LIVE / CLOSED) • Current High • Current Low • Session Range in points • Range as % of ATR Quickly compare session volatility and expansion strength. ━━━━━━━━━━━━━━━━━━ ✅ Smart Visual Design • Neon institutional-style theme • Glow session levels • Minimal chart clutter • Adaptive live updating • Optimized for dark themes ━━━━━━━━━━━━━━━━━━ BEST USED FOR • ICT Trading • Smart Money Concepts (SMC) • Forex Trading • Futures Trading • NASDAQ / US30 • Gold (XAUUSD) • Scalping • Intraday setups • Session range trading • Liquidity sweep models ━━━━━━━━━━━━━━━━━━ TIMEFRAME RECOMMENDATION Works on: • 1m • 3m • 5m • 15m • 30m ⚠ Indicator is restricted to timeframes below 1 hour for accuracy. ━━━━━━━━━━━━━━━━━━ ALERTS INCLUDED • Session Opens • Session Closes • Killzone Starts • Overlap Starts Perfect for automation and session-based workflows. ━━━━━━━━━━━━━━━━━━ NOTES Session times automatically adapt using proper exchange timezones: • Tokyo → Asia/Tokyo • London → Europe/London • New York → America/New_York • Sydney → Australia/Sydney This helps maintain accurate behavior during DST changes.
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Income_Statement tarafından
SR LevelsSR Levels — Multi-Timeframe Support & Resistance with SR-Anchored VWAP OVERVIEW SR Levels Pro is an overlay indicator that plots higher-timeframe support and resistance levels on your chart with a clean, minimal layout. It focuses on widely used structural levels — previous day/week/month/year highs and lows — plus optional session levels (Asia, London, New York). The goal is simple: show where price is relative to key reference levels, how far away each level is, and whether volume-weighted price action is accepting or rejecting a level after a touch. This script is designed for traders who use HTF structure, session context, and level-based decision making on lower timeframes. KEY FEATURES • HTF Structure Levels Previous Day/Week/Month/Year High and Low (PDH, PDL, PWH, PWL, PMH, PML, PYH, PYL) Each timeframe uses a distinct color for quick identification • Smart Level Display Thin cross markers on a short right-side segment — not full-width lines Optional proximity filter: hide levels until price is within range Price labels show level name, exact price, and % distance from current price Example: PDH 77766.4 +1.42% • Session Levels (Optional, Off by Default) Previous session high, low, and open for Asia, London, and New York Customizable session times and timezone • SR-Anchored VWAP When price touches an active S/R level, VWAP begins tracking from that anchor Green VWAP above anchor = potential acceptance Red VWAP below anchor = potential rejection Shaded fill between VWAP and anchor shows the acceptance/rejection gap Auto-deactivates after max bars or when price moves too far from the level • Optional Signals (Off by Default) Triangles = bullish/bearish rejection at scored S/R levels Diamonds = PDH/PDL volume breakouts Confluence scoring, EMA trend filter, volume filter, and cooldown Built-in alerts for rejections and breakouts HOW TO USE 1. Add to any chart (stocks, crypto, forex, futures). 2. Defaults show PDH, PDL, PWH, PWL. Session levels and signals are off. 3. Read right-edge labels for price and % distance from each level. 4. Watch SR-Anchored VWAP when price approaches a level for acceptance vs rejection. 5. Enable signals only if you want entry markers. Adjust score and cooldown for your timeframe. 6. For forex/futures, set Session Timezone and session hours to match your market. SETTINGS Core: touch tolerance, visibility range, cross segment length, price labels HTF: toggle day/week/month/year levels and colors Session: Asia/London/NY H/L/O with custom times VWAP: max bars, deactivate distance, bull/bear colors Signals: master toggle, breakout diamonds, min score, cooldown, filters ALERTS • SR: Long Rejection • SR: Short Rejection • SR: Bull Breakout (above PDH) • SR: Bear Breakout (below PDL) RECOMMENDED TIMEFRAMES Intraday (1m–15m): PDH/PDL + PWH/PWL, optional sessions Swing (1H–4H): PWH/PWL + PMH/PML Position (D/W): PMH/PML + PYH/PYL DISCLAIMER This indicator is for educational and informational purposes only. It is not financial advice and does not recommend buying or selling any instrument. Trading involves risk. Past results do not guarantee future performance. Always do your own research and use proper risk management. NOTES HTF levels use the prior completed period high/low. Signals are optional and disabled by default. SR-Anchored VWAP accumulates on confirmed bars only.
Pine Script® göstergesi
RickyTSpanish tarafından
DXY Gold Helper v2DXY Gold Helper — Smart Correlation Assistant for XAUUSD The DXY Gold Helper is designed to help traders better understand the real-time relationship between the US Dollar Index (DXY) and Gold (XAUUSD). Gold and DXY often move inversely, but many traders struggle to identify: whether DXY strength is supporting gold weakness, whether gold is diverging from DXY, or whether current moves are temporary liquidity sweeps. This indicator simplifies that process by providing a clean visual framework for correlation-based decision making. Main Features Real-time DXY directional bias Gold vs DXY correlation analysis Bullish/Bearish pressure detection Divergence and conflict recognition Momentum assistance for XAUUSD traders Scalping and intraday friendly Lightweight and clean chart display How It Helps The indicator is not designed to replace price action or structure analysis. Instead, it acts as a confirmation and context tool. Examples: DXY bullish + Gold weak → bearish pressure on gold DXY bearish + Gold strong → bullish pressure on gold DXY and Gold moving together → possible liquidity sweep, transition, or temporary correlation breakdown Best Use Case This tool works best when combined with: market structure, premium/discount analysis, support/resistance, HTF zones, and proper risk management. Recommended Timeframes M1 / M5 for scalping M15 / H1 for intraday context Important Note Correlation is not permanent. During news events, liquidity grabs, or strong institutional flows, Gold and DXY may temporarily move together before restoring inverse behavior. Always use proper confirmation before entering trades. Ideal For XAUUSD scalpers intraday traders ICT/SMC traders liquidity-based traders traders seeking additional market context DISCLAIMER: This indicator is for educational and analytical purposes only. It does not provide financial advice or guaranteed trading signals.
Pine Script® göstergesi
dr-mubashir tarafından
DTS Runners - day trading strategiesDTS Runners Chart Signal is a free TradingView indicator designed to help traders confirm long-entry setups after a ticker has already been found through the DTS Scanner. This indicator does not scan the entire market. It is built as a chart confirmation tool for stocks that already meet your scanner requirements. The script focuses on momentum continuation conditions using: • Daily open confirmation • RSI 14 strength • Percent-change filter • 14-day average volume filter • Yesterday’s volume filter • Buy and sell alert conditions • Optional end-of-day exit • Status table for quick setup review The basic long-entry idea is simple: A stock must pass the DTS hot-stock filter, trade during the selected market session, have RSI above the selected buy level, and close above the daily open. The sell condition triggers when RSI drops below the selected sell level. An optional end-of-day exit can also be enabled. Default settings: • Price and ticker selection should come from your DTS Scanner • PercentChg threshold: 30% • Volume threshold: 5,000,000 • RSI length: 14 • Buy RSI level: 50 • Sell RSI level: 40 This indicator is best used with a separate scanner or watchlist. The scanner finds the stock. This script helps confirm the entry and exit on the chart. This tool is for educational and informational purposes only. It is not financial advice. Always manage your own risk and confirm news, volume, VWAP, and chart structure before taking a trade.
Pine Script® göstergesi
charleslee08 tarafından
Shift Share - 5-Model Production MatrixThe 5-Model Stock Breakdown: A Beginner Guide Imagine you are looking at a single stock—let us call it SuperEco Corp—and its price just jumped up by 10 percent over the last few weeks. If you ask a regular person why it went up, they might say, "Because it is a good stock!" But a seasoned investor knows that a stock price does not move in a vacuum. It is being pulled and pushed by different invisible forces. This guide explains how our tracking tool uses a method called Regression to break down that 10 percent jump and reveal exactly who was responsible for the move. You do not need a background in math, economics, or statistics to understand how it works. 1. The Three Invisible Forces Our model assumes that a stock price movement depends on three major factors: The Market (The Rising Tide): This is the entire stock market (like the S&P 500). When the overall economy is booming, optimism runs high, and almost every stock gets lifted. If the market goes up sharply, our stock will likely get dragged up with it, purely by association. The Sector (The Industry Wave): This is the specific neighborhood the stock lives in (such as Technology, Energy, or Healthcare). If electric vehicles are suddenly booming, all EV stocks will rise together, even the poorly managed ones, because money is pouring into that specific industry bucket. The Stock Itself (Its Unique Engine): This is the company own secret sauce. It includes their unique products, their management team, their earnings reports, and their breakthroughs. This is what belongs only to this stock and no one else. What is Regression? Think of a stock total return like a baked cake. You know the cake tastes sweet (the stock went up 10 percent), but you do not know how many cups of sugar, flour, or butter went into it. Regression is a tool that acts like a laboratory test for that cake. It analyzes the final product, compares it to how the broader market and sector were moving at the same time, and extracts the exact recipe. It tells you: "Of this 10 percent move, 5 percent was caused by the market, 3 percent was caused by the sector, and 2 percent was the stock unique engine." 2. Leftover Mystery: The Statistical Error No matter how smart a math model is, it can never perfectly predict human behavior or random events. When we add up what the Market and the Sector should have done to the stock, it rarely perfectly matches the actual final price. The piece that is left over is called the Statistical Error (or Noise Floor). Think of it like static on an old television set, or the background chatter in a crowded restaurant. It represents random daily market zig-zags, algorithmic trading glitches, or minor noise that has no real structural meaning. If our model is working correctly, this error row should be very small, meaning our factors successfully explained the vast majority of the price movement. 3. The 5 Steps of Understanding: Our Dropdown Models To help you see how these forces interact, our indicator lets you switch between 5 different structural models using a simple settings dropdown menu. Think of this like changing lenses on a camera to see the data in different ways: Model 1: No Variables (The Blindfold View) This model assumes that external factors do not exist. It completely ignores the market and the sector. The stock price is treated as moving entirely on its own, plus some random mystery noise. This establishes a baseline to see what the stock looks like when you isolate it from macro events. Model 2: Market Only (The Macro Lens) This model assumes that only the big picture matters. It watches how the stock moves in relation to the main stock market index. It tells you if your stock is just a mirror of the broader economy. If the market explains almost all of the move, your stock is behaving like an index fund. Model 3: Sector Only (The Neighborhood Watch) This model ignores the broader market and looks strictly at the stock specific industry group. This helps you see if the stock is simply riding an industry-wide trend or hype cycle, completely independent of whether the rest of the world markets are up or down. Model 4: Both Market and Sector (The Parallel View) This model looks at both forces simultaneously, but treats them as completely independent. It assumes they run side-by-side like two trains on parallel tracks. This isolates how much of the stock price was swept up by the macro economy versus how much was driven by its specific industry peer group. Model 5: Full Interactive Model (The Chemistry Lab) In the real world, forces do not just run on parallel tracks—they collide and alter each other. This model introduces a special Interaction Term. When a roaring market slams into a hyper-growth sector, they create a compounding synergy that accelerates or dampens stock prices. This is the most realistic model, stripping away all shared group behavior to isolate the stock true standalone engine. 4. Reading Your Screen: The Output Matrix Table Explained When you load the script on your chart, it generates a clean summary table in your indicator pane. Here is how to interpret the four columns: Column 1: Source Factor This lists the different forces we are tracking: Market Component, Sector Component, Cross-Factor Interaction, Pure Unique Asset, and Statistical Error Noise. Column 2: Window Return This column shows you the direct, absolute performance footprint measured in percentage points. If you add up every number in this column from top to bottom, it will perfectly equal the final Asset Total Return row at the very bottom. If the final row says +10.00%, and the Market row says +6.00%, the market tide handed your stock 6 of its 10 points of growth. A negative number means that factor acted as a brake, actively dragging your stock backward. Column 3: Share Allocation % While Column 2 tells you the direction and points, this column tells you pure structural influence. It answers the question: "Regardless of whether it was pulling the stock up or pushing it down, what percentage of the total steering wheel did this factor control?" This column always adds up to exactly 100.00%. Column 4: Dynamic Profile State This column displays the real-time operational status of the factors based on your settings. If a factor is turned off in your dropdown choice, this column will clearly say "OFF / Excluded". If a factor is active, it reveals its underlying structural strength using standard financial metrics like Beta (market scaling) or Alpha (sector outperformance). The Ultimate Check: Look at the Header (R2) Right at the very top of the table header, you will see a score labeled R2 (R-Squared). Think of this as the Model Accuracy Grade, scaled from 0.00 (completely guessing in the dark) to 1.00 (absolute flawless perfection). If your R2 is 0.85, it means your chosen model successfully captured and explained 85% of everything that caused the stock to move over that time window. By toggling through models 1 to 5, you can find the framework that creates the highest R2 score, giving you definitive statistical proof of how that specific stock is actually operating.
Pine Script® göstergesi
Stephen_F tarafından
1
Bollinger Band EMA script with active watchlist Bollinger Band Stop-Hunt Screener This indicator is a custom Bollinger Band screener designed to identify potential swing trading setups based on the Bollinger Band + 9 EMA stop-hunt concept. The logic is inspired by a strategy that looks for trend continuation after price pulls back toward the opposite Bollinger Band. The idea is to find stocks that are in an active trend but temporarily stretched toward a reversal zone, creating a possible swing entry opportunity. How it works The screener checks a custom list of symbols and classifies each one as: BUY CALL Price is in an uptrend, touches or rejects the lower Bollinger Band, and forms a bullish candle. CALL WATCH Price is in an uptrend and trading near the lower Bollinger Band, but confirmation has not happened yet. BUY PUT Price is in a downtrend, touches or rejects the upper Bollinger Band, and forms a bearish candle. PUT WATCH Price is in a downtrend and trading near the upper Bollinger Band, but confirmation has not happened yet. NEUTRAL No valid setup is currently detected. Main components Bollinger Bands: 20-period, 2 standard deviations 9 EMA trend filter Near Band % filter for early watchlist signals Optional gap filter Chart-timeframe based scanning Clean table display for multiple symbols Optional Bollinger Band and EMA chart plotting Alerts for BUY CALL, BUY PUT, CALL WATCH, and PUT WATCH conditions Best use This screener is designed for traders looking for pullback-based swing entries, especially on the 4H or Daily timeframe. It can also be used on shorter timeframes, but lower timeframes may produce more noise. For longer-dated options swing trading, the Daily chart is generally preferred. Important note This script is not financial advice and does not guarantee profitable trades. It should be used as a watchlist and confirmation tool, not as a standalone buy/sell system. Always combine signals with your own analysis, support/resistance, volume, market trend, and risk management.
Pine Script® göstergesi
Pinewarrior tarafından
B3T NFP# B3T NFP Indicator Description `B3T NFP` is a TradingView Pine Script v6 overlay indicator that marks and tracks price levels created during monthly U.S. Non-Farm Payroll (NFP) release sessions. It captures the high and low of each NFP session, projects those levels forward on the chart, and uses them as support/resistance reference levels for trade planning. Source script: - `nfp.pine` ## Main purpose The indicator is designed to answer three practical questions: 1. Where were the important NFP high/low levels? 2. What are the nearest NFP-derived support and resistance levels around current price? 3. Is price showing a macro or micro directional bias relative to those levels? ## NFP session window For each tracked NFP date, the script defines a session from: - 8:30 AM New York time - through 3:59 PM New York time That window is intended to capture the full regular-market reaction after the NFP release. The `NFP Start Hour Offset` setting can shift the session start/end by whole hours if the chart timezone or instrument session display does not line up with New York time. The optional NFP session marker can be enabled to visually confirm that the marked bars line up with the intended NFP release window. ## Date handling The script tracks a rolling 10 historical years plus the current editable year. Historical years: - Automatically roll forward based on `year(timenow)`. - Use an embedded NFP schedule table for 2016 through 2026. - Fall back to a first-Friday calculation if the year is not in the embedded table. Current year: - Has month-by-month inputs. - A value of `0` means `Schedule`, so the script uses the embedded schedule table or fallback rule. - A non-zero value manually overrides the scheduled day for that month. The currently shipped current-year defaults are: - January 9 - February 11 - March 6 - April 3 - May 8 - June through December: `0 = Schedule` Important limitation: Pine Script cannot fetch the live BLS calendar from the internet, so the schedule is not live-updating. It comes from the embedded table and user inputs. ## What gets plotted ### NFP high and low lines After an NFP session finishes, the script stores that session's final high and final low. It can then draw: - A horizontal high line - A horizontal low line - Optional labels for each level - Optional price values in the labels The lines extend from the completed NFP session forward toward the current bar, with a configurable forward offset. ### Labels Labels identify each level by month and year, for example: - `JAN 2026 NFP High` - `JAN 2026 NFP Low` The labels can be shown or hidden, resized, recolored, and optionally include the exact level price. ### NFP session markers The script can plot markers on bars that fall inside an active NFP session. These are mainly for verification and timezone alignment. ## Support and resistance boxes The indicator collects all visible completed NFP highs and lows into a sorted level list. From that list it finds: - The nearest NFP level below current price as support - The nearest NFP level above current price as resistance It then draws optional support and resistance boxes around those levels. The box height is based on a percentage of current price. For example, the default `12` means approximately `0.12%` of price. The support/resistance boxes can shift after price breaks through a zone: - If price breaks above resistance, that resistance can become the new support and the next higher NFP level becomes resistance. - If price breaks below support, that support can become the new resistance and the next lower NFP level becomes support. An optional support/resistance table can display the exact current support and resistance values. ## Risk/reward calculator The script includes an optional R:R table. It uses current price as a hypothetical entry and calculates both long and short scenarios against the nearest NFP support/resistance levels. Long calculation: - Entry: current price - Stop: below support by the configured stop buffer - Target: resistance - R:R: reward divided by risk Short calculation: - Entry: current price - Stop: above resistance by the configured stop buffer - Target: support - R:R: reward divided by risk The stop buffer is configured as a percentage of price. The default is `0.15%`. R:R values are color-coded: - Favorable ratios at or above 1:1 use the configured long/short color. - Unfavorable ratios below 1:1 display in gray. The R:R table can be positioned in any chart corner. ## Micro trend indicator The micro trend is intended for intraday charts up to 1 hour. It runs on 10-minute data and checks price against a 20-period EMA: - `Micro: Up` appears when price closes above the 10-minute 20 EMA for more than 2 consecutive candles. - `Micro: Down` appears when price closes below the 10-minute 20 EMA for more than 2 consecutive candles. The micro trend is displayed in the top-right direction table when enabled and when the chart timeframe is intraday and 1 hour or lower. ## Macro trend indicator The macro trend is intended for the daily timeframe. It looks at the most recent completed NFP high and low, then checks the previous two completed daily candles. `Macro: Up` triggers when both of the last two daily candles opened and closed above the most recent NFP high. `Macro: Down` triggers when both of the last two daily candles opened and closed below the most recent NFP low. The macro direction is latched: - Once it turns up, it stays up until a valid down trigger appears. - Once it turns down, it stays down until a valid up trigger appears. ## Visibility controls The script includes controls for: - Showing/hiding the current year - Showing/hiding each of the previous 10 trailing years - Showing/hiding current-year months individually - Showing/hiding high lines - Showing/hiding low lines - Showing/hiding labels - Showing/hiding prices in labels - Showing/hiding support/resistance boxes - Showing/hiding the support/resistance value table - Showing/hiding the R:R calculator - Showing/hiding macro and micro direction labels ## Supported chart timeframes The script is intended for intraday and daily charts. Weekly and monthly charts are intentionally excluded from drawing logic for lines/boxes and risk/reward features because the NFP session-level calculations are not meaningful at those resolutions. ## Key implementation details - The script uses `request.security()` on the 30-minute timeframe to capture session highs and lows for each month. - It uses one 30-minute security call per calendar month to stay under TradingView request limits. - It stores each tracked session in an `NFPData` user-defined type. - It maintains lines, labels, and boxes with persistent handles to avoid recreating unnecessary drawing objects. - The indicator declaration allows up to 500 lines, 500 labels, and 500 boxes. ## Practical workflow 1. Add `B3T NFP` to the chart. 2. Use an intraday chart, ideally 30 minutes, to verify session markers line up with NFP release bars. 3. Adjust `NFP Start Hour Offset` only if the markers do not line up correctly. 4. Confirm the current-year NFP dates in settings. 5. Use the high/low lines as major event-derived levels. 6. Use the nearest support/resistance boxes and R:R table for trade planning context. 7. Use macro and micro direction labels as bias filters, not standalone trade signals. ## Notes and limitations - The indicator does not fetch live NFP calendar data. - The embedded schedule should be updated when future official BLS dates change or new years are added. - TradingView's compiler/runtime is the final authority for Pine behavior. - This is an analysis and planning tool, not a guaranteed signal system.
Pine Script® göstergesi
samshooky tarafından
Availability HoursDraws two vertical lines on the chart to mark a custom daily trading session window. A green line marks the session open and a red line marks the session close. Both times are fully customizable through the indicator settings using 24-hour format, allowing any trader to define their own available trading hours. Automatically adjusts between Pacific Daylight Time (UTC-7) from March to November and Pacific Standard Time (UTC-8) from November to March, ensuring the lines always land at the correct local time year-round without any manual input. Designed for traders who backtest within specific daily time windows and want a clear visual boundary to identify which candles fall inside or outside their chosen trading hours. Helpful for maintaining consistency when journaling trades and reviewing whether entries respected a defined session schedule.
Pine Script® göstergesi
welfeki tarafından
Availability HoursDraws two vertical lines daily to mark personal trading availability hours based on Vancouver time (Pacific Time). A green line appears at 6:00 AM and a red line appears at 11:00 PM, indicating the start and end of available trading hours for the day. Automatically adjusts for Pacific Daylight Time (UTC-7) from March to November and Pacific Standard Time (UTC-8) from November to March, so the lines always land at the correct local time year-round. Useful for backtesting and trade journaling — any trade entry between the green and red lines falls within availability hours and is valid for review. Any trade outside these lines should be disregarded.
Pine Script® göstergesi
welfeki tarafından
Bitcoin Production Cost | Astral Vision Bitcoin Production Cost | Astral Vision 🌠💠 This indicator estimates the real-world cost of producing one Bitcoin by modeling the energy expenditure of the mining network from on-chain data, then divides by the daily coin issuance to express that cost in USD per BTC. The result is a fundamental price floor reference: sustained trading below the cost of production is historically short-lived because unprofitable miners shut down, reducing hash rate, reducing difficulty, and eventually restoring profitability for those who remain. Calculation ⚙️ The hash rate is fetched from Glassnode in exahashes per second and converted to terahashes per second. The energy consumption of the network per day is then estimated as: kWh per day = hash rate (TH/s) × efficiency (J/TH) × 86,400 seconds per day / 3,600,000 joules per kWh. This converts the product of hash rate and energy per hash into kilowatt-hours of electricity consumed daily by the entire network. The hardware efficiency parameter is set dynamically by era rather than using a single static value. Each major mining hardware generation is assigned an approximate efficiency in joules per terahash: 2,000 J/TH before 2014 (early GPU and first-generation ASICs), declining through 800, 500, 250, 100, 85, 55, 40, and 32 J/TH at successive epoch boundaries, with the user-configurable current efficiency applied to recent and future bars. This epoch-based schedule reflects the documented progression of ASIC hardware efficiency over Bitcoin's mining history. The electricity price is similarly segmented by era, reflecting the documented geographic concentration of mining: a configurable pre-2019 rate for the early period, a lower configurable rate for the Chinese dominance era before the 2021 mining ban, and a configurable post-exodus rate for the current globally distributed mining landscape. The daily BTC reward available to miners is computed as 144 blocks per day multiplied by the current block subsidy, derived from the block height using the halving schedule, plus daily transaction fees in BTC converted from the CoinMetrics USD fee data. This sum is smoothed with a 7-day SMA to reduce the noise from day-to-day block count variation. The electricity cost per BTC is then: (kWh per day × electricity price) / daily reward in BTC. This represents what miners spend on electricity alone to produce one Bitcoin. The total production cost divides the electricity cost by the electricity percentage of total costs (default 60% based on CBECI methodology), adding the implicit cost of hardware amortization, facilities, and operations. The Miner Price is a separate reference: current Bitcoin price plus the USD value of transaction fees per BTC, representing the effective revenue miners receive for each coin equivalent produced. When Miner Price exceeds Total Cost, mining is profitable; when it falls below, miners are operating at a loss. Plots 📊 Electricity Cost per BTC with glow effect (toggleable) Total Production Cost per BTC with glow effect (toggleable) Miner Price with glow effect (toggleable) Fill between Electricity Cost and Total Cost Information table with current values for all key metrics: electricity cost, total cost, miner price, BTC price, price-to-total-cost ratio, efficiency, electricity rate, electricity percentage, and block subsidy Inputs 🎛️ Electricity $/kWh for three historical eras: pre-June 2019, pre-May 2021, and post-May 2021 Electricity percentage of total costs: used to gross up electricity cost to total production cost Efficiency J/TH: applied to recent and future bars, historical values are set automatically by epoch Show Electricity Cost, Total Production Cost, Miner Price: individual toggles Glow effect and info table toggles Table position: four corner options Colors 🎨 5 Astral Vision presets + custom override. Default: Infinito. Purpose 🎯 Standard support and resistance tools are derived entirely from price history and have no connection to the economic reality of Bitcoin production. This indicator derives its reference levels from the physical cost of mining, making it independent of price action and structurally grounded in the economics of the network. The price-to-total-cost ratio in the table provides an immediate reading of how far current price sits above or below break-even for miners, which has historically been one of the most reliable macro cycle indicators available on-chain. Disclaimer ⭕️ This indicator is for informational and educational purposes only. It does not constitute financial advice. Past performance is not indicative of future results. Always do your own research before making investment decisions.
Pine Script® göstergesi
AstralVision tarafından