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GeorgeFutures: ELITE Dashboard & Global Alert (C1,C2,C3)George FX : ELITE Dashboard & Global Alert This indicator acts as your "Market Compass," providing 1-Hour (HTF) context while you execute trades on the 5-Minute (LTF) timeframe. 1. The "Master Filter" Logic (1H Calculation) Regardless of the chart you are viewing, the script calculates three layers of data from the 1-hour timeframe in the background: Primary Trend (EMA 200): Establishes the permitted direction. If the price is above the EMA 200, it only looks for Longs; if below, only Shorts. Order Flow (FVG): Scans for institutional momentum. When a valid Fair Value Gap (imbalance) appears in the direction of the trend, it confirms market "strength." Liquidity (Sweep c1, c2, c3): Identifies traps. It checks if the price has "swept" the liquidity (Low/High) of the last 3 candles on the 1H chart. 2. Visual Indicator Meaning (Status Dots & Colors)The table communicates the market state using a simplified professional color code:ElementStatusMeaningORDER FLOWBULLISH/BEARISH1H momentum is confirmed by an FVG in the direction of the EMA 200 trend.LIQUIDITYLIQUIDITY GRABA "Sweep" has occurred (liquidity was taken) within the last 3 hours.STRATEGYREADY TO TRADE All conditions are aligned. It is time to look for an entry on the 5-minute chart. 3. Unified Global Alert System The alert is the "guardian" of your strategy: Operation: Monitors both directions (Long and Short) with a single setup. Trigger: You receive a notification only when the Strategy row turns READY TO TRADE. Message: The notification clearly states the ticker (e.g., BTCUSDT) and the direction (BULLISH or BEARISH) so you don't waste time. How to use it: Set the Alert: While on the 5-minute chart, create an alert for George FX: ELITE Global Signal. Wait: When the notification hits your phone, open the 5-minute chart. Execute: Since the 1H context is perfect, you only need to find a local entry (like a Market Structure Break) on the 5m chart.
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GeorgeSovarosiの投稿
March-May Oct-Dec bank stocks strategyIn the Indian market, banking stocks have some sort of cyclic nature. If you buy at the start of March and sell at the start of May and then buy at the start of Oct and sell at the start of December, you can make gains close to to "buy and hold", while being invested only for 4 months out of 12. This seems to backtest well for post 2021 on all Bank stocks I tested, including BANKNIFTY as well Caveat: Not calculating STCG and other expenses caused by selling and buying 2 times every year.
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rep_movsdの投稿
1
MTT US Economic Health Z-ScoreTo use the US Economic Health Z-Score, you must set your TradingView chart to a Monthly (M) timeframe. This is critical because the script aggregates high-level data from FRED—such as Manufacturing PMI and Building Permits—which are released on a monthly cycle. Viewing this on a Daily or Intraday chart will result in flat, "stair-step" lines that obscure the true momentum of the data. How to Interpret the Data The indicator functions as a normalized macro-filter, converting five distinct economic sectors into a single standard deviation scale. The 0 Line: Represents the "historical norm." Individual Colored Lines: Track specific sectors (e.g., Sentiment, Labor, Housing). The Composite Line (White): This is your aggregate health signal. Signal Logic Economic struggle is identified when the Composite Score trends below -1.0 (At Risk) or drops past -1.5 (Struggling). Because these are leading indicators, they often deteriorate months before the stock market reflects the damage. Use this dashboard to identify bearish divergence: if the S&P 500 is rising while the US Economic Health Z-Score is falling, the market is likely ignoring fundamental cracks. This tool is designed to help you shift toward a defensive portfolio posture before the "lagging" data (like the unemployment rate) confirms the downturn.
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mad_tom_tradingの投稿
ETH Swing Planner (Thrust + Chop + BTC Confirm) v3.1 by Sam KimThis is a swing-trading framework designed to keep you out of bad trades, not push you into more of them. It only activates when the higher-timeframe trend is clear, volatility supports continuation, and the market has actually finished correcting. No buying pullbacks. No forcing entries in chop. The logic is simple: • Trade in the direction of the dominant daily trend • Wait for consolidation, then enter on momentum resumption (“thrust”) • Avoid choppy, range-bound conditions • Require Bitcoin confirmation before swinging ETH • Define risk, stop, and targets before the trade exists Cash is treated as a position. No-trade conditions are explicit, not emotional. This tool is built for traders who value patience, structure, and capital preservation over constant action. It favors fewer trades, cleaner entries, and psychological clarity. Missing a move is acceptable. Being trapped in a bad one is not. Usanghyang philosophy, coded.
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desertfox100の投稿
1of1 Trades Expected Ranges (Friday Close Calculator)Expected Ranges (Friday Close Calculator) Expected Ranges is a simple, non-plotting calculator designed for weekly market preparation. It uses the most recent Friday’s daily close as the base price and calculates an expected trading range for the upcoming week. This indicator is intentionally built as a calculator only — it does not draw lines or zones on the chart. This ensures there is no bleed between symbols and allows traders to convert levels into permanent TradingView drawings (horizontal lines and shaded rectangles) that are stored per symbol in their account. How It Works Friday Close is automatically detected from the daily chart. You input a single value for Expected Weekly Move. The indicator calculates: Upper Range = Friday Close + Expected Move Lower Range = Friday Close − Expected Move Values are displayed in a clean top-right panel for quick reference.
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PushingOptionsの投稿
SPY 200SMA +4% Entry -3% Exit TQQQ/QLD/GLDM THREE PHASE STRATEGYWanted to take a look at all of the individual trades and provide a series of options to balance performance and risk. This post is expanding on my previous one - www.reddit.com Here is the data and the backtesting splitting the strategy into three primary phases with multiple options and exact trade dates to help people easily backtest other combinations - docs.google.com (Three Tabs with the three phases) If you just want my personal recommendations this would be what I will be using - PHASE 1 (Strategy BUY signal triggers when SPY price crosses +4% over the SPY 200SMA) = 100% TQQQ If trade lasts 366 days (Long Term Cap Gains) go to PHASE 2 If SPY price crosses below -3% SPY 200SMA go to PHASE 3 PHASE 2 (PHASE 1 lasts 366 days) = Deleverage and diversify into 50% QLD & 50% GLDM PHASE 3 (Strategy SELL signal triggers when SPY price crosses -3% below the SPY 200SMA) = Defensive posture with 50% SGOV & 50% GLDM As market degrades start selling SGOV and buying QQQ until 50% QQQ & 50% GLDM TradingView Script for the THREE PHASE STRATEGY (imgur.com): // @version= 5 strategy("SPY 200SMA +4% Entry -3% Exit Strategy",      overlay=true,      default_qty_type=strategy.percent_of_equity,      default_qty_value=100) // === Inputs === smaLength      = input.int(200, title="SMA Period", minval=1) entryThreshold = input.float(0.04, title="Entry Threshold (%)", step=0.01) exitThreshold  = input.float(0.03, title="Exit Threshold (%)", step=0.01) startYear      = input.int(1995, "Start Year") startMonth     = input.int(1, "Start Month") startDay       = input.int(1, "Start Day") // === Time filter === startTime    = timestamp(startYear, startMonth, startDay, 0, 0) isAfterStart = time >= startTime // === Calculations === sma200         = ta.sma(close, smaLength) upperThreshold = sma200 * (1 + entryThreshold) lowerThreshold = sma200 * (1 - exitThreshold) // === Strategy Logic === enterLong = close > upperThreshold exitLong  = close < lowerThreshold if isAfterStart     if enterLong and strategy.position_size == 0         strategy.entry("Buy", strategy.long)     if exitLong and strategy.position_size > 0         strategy.close("Buy") // === 366-Day Marker Logic (Uninterrupted) === var int targetTime = na // 1. Capture entry time only when a brand new position starts if strategy.position_size > 0 and strategy.position_size == 0     targetTime := time + (366 * 24 * 60 * 60 * 1000) // 2. IMPORTANT: If position is closed or a sell signal hits, reset the timer to "na" if strategy.position_size == 0     targetTime := na // 3. Trigger only if we are still in the trade and hit the timestamp isAnniversary = not na(targetTime) and time >= targetTime and time < targetTime // === Visuals === p_sma   = plot(sma200, title="200 SMA", color=color.rgb(255, 0, 242)) p_upper = plot(upperThreshold, title="Entry Threshold (+4%)", color=color.rgb(0, 200, 0)) p_lower = plot(lowerThreshold, title="Exit Threshold (-3%)", color=color.rgb(255, 0, 0)) fill(p_sma, p_upper, color=color.new(color.green, 80), title="Entry Zone") // Draw marker only if 366 days passed without a sell if isAnniversary     label.new(bar_index, high, "366 DAYS - PHASE 2", style=label.style_label_down, color=color.yellow, textcolor=color.black, size=size.small) // === Entry/Exit Labels === newOpen  = strategy.position_size > 0 and strategy.position_size == 0 newClose = strategy.position_size == 0 and strategy.position_size > 0 if newOpen     label.new(x=bar_index, y=low * 0.97, text="BUY - PHASE 1", xloc=xloc.bar_index, yloc=yloc.price, color=color.lime, style=label.style_label_up, textcolor=color.black, size=size.small) if newClose     label.new(x=bar_index, y=high * 1.03, text="SELL - PHASE 3", xloc=xloc.bar_index, yloc=yloc.price, color=color.red, style=label.style_label_down, textcolor=color.white, size=size.small) 200 SMA SPY Trading Range Bands Script: // @version= 5 indicator("200 SMA SPY Trading Range Bands", overlay=true) // === Settings === smaLength = input.int(200, title="SMA Length") mult1      = input.float(1.09, title="Multiplier 1 (9% Over)") mult2      = input.float(1.15, title="Multiplier 2 (15% Over)") // === Calculations === smaValue = ta.sma(close, smaLength) line9Over = smaValue * mult1 line15Over = smaValue * mult2 // === Plotting === plot(smaValue, title="200 SMA", color=color.gray, linewidth=1, style=plot.style_linebr) plot(line9Over, title="9% Over 200 SMA", color=color.rgb(255, 145, 0), linewidth=1) plot(line15Over, title="15% Over 200 SMA", color=color.rgb(38, 1, 1), linewidth=2)
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freefighter07の投稿
Dynamic Risk and RewardThe Dynamic Equity Projection (DEP Map) is an institutional-grade visual execution tool designed to automate risk-to-reward mapping directly on your chart. Unlike standard drawing tools, it is context-aware—calculating volatility and trend bias in real-time to provide a "live" projection of your trade's potential.Core Logic & Intelligence1. Trend-Filtered SentimentThe indicator uses a 200-period Exponential Moving Average (EMA) as a directional filter.Bullish Map: If the current price is above the EMA, the DEP Map projects a green "Long" zone.Bearish Map: If the price is below the EMA, it instantly flips to a red "Short" zone.This helps traders stay aligned with the primary market momentum, avoiding the trap of "trading against the tide."2. Volatility-Adaptive Risk (ATR)Rather than using arbitrary point distances, the DEP Map utilizes the Average True Range (ATR).It measures the market's "noise" level over the last 14 bars.The Stop Loss is set at a multiplier (default 1.5x) of this volatility, ensuring your stop is wide enough to survive market breathing but tight enough to maintain a high R:R.Technical FeaturesFeatureDescriptionProfessional BenefitProjection BoxA dynamic rectangle that extends into the "future" (right-side offset).Keeps the current price action clear while providing a visual goalpost for the trade.Persistent LogicUses advanced var object handling to prevent "ghosting" or label stacking.Ensures a clean, high-performance chart interface without clutter.R:R Equity LadderSegments the profit zone into specific milestones: 1.0, 2.0, 3.0, and the "Equity Target" (5.0).Allows for precise partial profit-taking and psychological target setting.Dashed SL LineA high-contrast red dashed line indicating the invalidation point.Provides an immediate visual cue of the trade's total risk.How to Use the DEP MapIdentify the Bias: Observe the color of the box. A green box suggests looking for buying opportunities; a red box suggests selling.Verify the Levels: The labels on the right edge of the box provide the exact price points for your Stop Loss and Take Profit orders.Execute & Manage:R:R 1.0: The "Safety Point." Many traders move their stop to breakeven here.R:R 2.0 - 3.0: The "Standard Exit." This is where the bulk of the trade's profit is usually captured.Equity Target: The "Home Run." Reserved for high-conviction trend extensions.
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day_trade_mindの投稿
FOCUS all in one (N-TABLOUH)It took me hours and hours to build this indicator so it shows the important stuff we need to watch as traders! Here you see a price label with a countdown, how much the asset has retraced from its high or low, and the total session range. You also get 4h separators to show the move, keeping you aware of the 4/8 or 12h window. Plus, there is a table showing the assets you want to trade so we don't have to go flip charts and waste time
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amazighinの投稿
Price Range AnalyzerPrice Range Analyzer - 365-Day Market Context Get instant market perspective with key price metrics calculated from daily timeframe data, regardless of your current chart interval. 📊 KEY FEATURES: - 365-Day High/Low with percentage distance from current price - Range Position indicator (0-100%) with color-coded zones - Comparison vs 365-day average price - ATR-based volatility assessment - Automatic adaptation for new assets (uses available data) - Clean, professional table (top-left position) - Optional visual lines on chart 🎯 WHAT IT SHOWS: 1. 365D High - Highest price in period + % below current 2. 365D Low - Lowest price in period + % above current 3. Range Position - Where price sits in the range: • 🟢 Very Low (0-20%): Strong buy zone • 🟢 Low (20-40%): Bullish territory • 🟡 Mid (40-60%): Neutral zone • 🟠 High (60-80%): Bearish territory • 🔴 Very High (80-100%): Strong sell zone 4. vs 365D Average - Distance from mean (reversion signal) 5. Volatility - ATR as % of price (Low/Medium/High) 💡 USE CASES: - Quick assessment of support/resistance zones - Identify overbought/oversold conditions - Mean reversion trading opportunities - Risk assessment via volatility levels - Works on ALL timeframes (always uses daily data) - Perfect for new listings (auto-adjusts to available history) ⚙️ SETTINGS: - Adjustable lookback period (30-730 days) - Toggle high/low/average lines on chart - White background optimized table Clean, simple, actionable. Know exactly where you stand in the bigger picture at a glance.
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baslamboの投稿
Smart money PSP with color themesPSP with Color Themes — Price Strength Parity Indicator PSP with Color Themes is a visual correlation indicator designed to detect Price Strength Parity (PSP) between the current chart symbol and a reference symbol. It highlights candles where price behavior between two correlated instruments diverges or aligns, which is often used in SMT (Smart Money Technique) and intermarket analysis. The indicator works directly on the chart and colors candles when a PSP condition is detected, using flexible and customizable color themes. 📌 What Is PSP (Price Strength Parity)? PSP identifies situations where two correlated assets: Move in opposite directions → Direct PSP (classic SMT divergence) Move in the same direction → Inverse PSP (confirmation mode) Such behavior often precedes: Reversals Continuations Liquidity grabs Market structure shifts ⚙️ Indicator Inputs Reference Symbol Defines the second asset used for comparison (e.g., ETHUSDT vs BTCUSDT). Purpose: To detect relative strength or weakness between two correlated markets. Inverse Correlation Mode Inverse Correlation Mode (true / false) Allows switching between divergence-based and confirmation-based analysis. Color Theme Available presets: Green / Red Blue / Orange Purple / Yellow Teal / Pink Custom Purpose: Adapts the indicator visually to different chart styles and backgrounds. 📈 How to Use in Trading Typical use cases: SMT divergence detection Intermarket confirmation Reversal timing Liquidity sweep context SMC / ICT models Recommended combinations: Market Structure (BOS / CHoCH) Fair Value Gaps Liquidity levels Session highs /lows ⚠️ Important Notes PSP is context-based, not a standalone entry system Best results on correlated markets: BTC / ETH Indices (ES / NQ / YM) FX pairs (EURUSD / DXY)
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crypto_daytradeの投稿
Institutional Structure [Clean Pro]Institutional Structure — Script Explanation This script is designed to map institutional market behavior using high-timeframe structure, not retail noise. It focuses on where smart money acts, not on frequent signals. 🔹 1. High-Timeframe Support & Resistance (HTF S/R) The script identifies major structural highs and lows using a higher lookback period. Purpose: Defines where institutions previously distributed or accumulated Acts as natural decision zones Filters out low-quality intraday levels Why it matters: Institutions trade from key HTF levels, not random support/resistance. 🔹 2. Equilibrium (50% Mean Price) The equilibrium line represents the fair price between HTF high and low. How it’s used: Below equilibrium → discount zone (buy interest) Above equilibrium → premium zone (sell interest) Professional insight: Smart money prefers buying discounts and selling premiums, not chasing price. 🔹 3. Market Structure Shift (MSS) Instead of frequent BOS labels, the script detects true directional shifts. Bullish MSS: Price closes above previous HTF high Bearish MSS: Price closes below previous HTF low Why MSS over BOS: MSS confirms control change Reduces false signals Aligns with institutional execution logic 🔹 4. Liquidity Sweep Detection (Wick-Based) The script identifies stop-hunt behavior using wick rejection logic. Buy-side liquidity: Wick above HTF high, but close back below Sell-side liquidity: Wick below HTF low, but close back above Meaning: Stops were triggered, but price failed to accept → smart money absorption 🔹 5. Fair Value Gap (FVG) – Refined Imbalance Fair Value Gaps highlight inefficient price movement. Bullish FVG: Price leaves an upside imbalance Bearish FVG: Price leaves a downside imbalance How pros use it: As reaction zones, not entry signals Best combined with liquidity + MSS 🔍 How Everything Works Together The script is context-based, not signal-based: 1️⃣ HTF structure defines the battlefield 2️⃣ Liquidity is taken (stop hunts) 3️⃣ MSS confirms direction 4️⃣ FVG offers precision 5️⃣ Equilibrium filters bias This creates high-probability trade environments, not overtrading. 📌 Best Practices (Professional Use) Timeframes: 1H / 4H / Daily Avoid lower TF noise Trade only after liquidity is taken Use FVG as confirmation, not trigger Respect equilibrium bias 🎯 Summary ✔ Clean institutional logic ✔ No clutter, no spam ✔ HTF-driven decisions ✔ Liquidity-first mindset ✔ Designed for BTC, Gold & FX 🧠 Trade where institutions trade — not where indicators flash.
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Mentor_Michael03の投稿
SPY Quant ML + Session Filter Strategy [CocoChoco]S&P 500 Quant: Machine Learning & Mean Reversion (Session-Filtered) Overview This is a professional-grade quantitative strategy designed specifically for the S&P 500. It combines classical statistical mean reversion (Z-Score) with a modern Machine Learning filter and rigorous institutional-grade risk management. The strategy is optimized for traders who prioritize high win rates and capital preservation, specifically avoiding the "gap risk" associated with holding positions overnight. Core Methodology 1. Statistical Entry (The Z-Score Engine) The strategy identifies "oversold" conditions in a bullish context. It calculates the Z-Score of the price relative to its 20-period Mean (SMA). By default, it looks for a -1.2 Standard Deviation extension, signaling a high-probability "dip" ripe for a snap-back to the mean. 2. Trend & ML Filters To avoid "catching a falling knife," the strategy uses two layers of confirmation: Trend Filter: Only takes Long positions when the price is above the 200-period SMA, ensuring we only buy dips in a confirmed uptrend. ML Correlation Filter: A Machine Learning-inspired module that analyzes the correlation between RSI and Volatility (ATR). It only permits entries when market internal dynamics suggest a reversal is technically "healthy." 3. Institutional Risk Management This script is built for "safety-first" automation: Hard Stop Loss: Fixed at 1.5% to protect against sudden market shocks. Active Trailing: A dual-trigger trailing stop. It activates once the price touches the 20 SMA (The Mean) OR once a trade reaches a 0.50% profit threshold. This ensures near-winners are protected and large runners are captured. Intraday Circuit Breaker: Includes a Max Daily Drawdown (2%) limit. If hit, the script automatically closes losing positions and halts trading for the day, while allowing winning positions to continue. Key Features Session-Specific: Tailored for the US Trading Session (UTC/NY times). Zero Overnight Risk: Automatically flattens all positions before the market close (16:00 NY Time). Holiday Intelligence: Hard-coded logic for US Market Holidays and Early Closes (2026–2028), ensuring the bot doesn't get stuck in illiquid holiday markets. Hourly Entry Cap: Limits entries to one per hour to prevent over-concentration during a single price leg. How to Use Timeframe: I suggest you use it on the 5-minute or 1-hour timeframe for optimal results. Instrument: Designed for the S&P 500, but highly effective on SPY, IVV, and ES (Futures). Pyramiding: Designed to handle up to 3 concurrent positions, allowing the strategy to scale into a move as the Z-Score deepens. Automation Ready This script is fully compatible with webhook-based automation tools. All signals (Entry, SL, Trail, Market Close, and Daily Limit) are clearly labeled in the Alert comments for seamless execution. I haven't tasted it though. This is not financial advice. Please perform your own tests and manage your risk. Disclaimer Past performance does not guarantee future results. This script is a tool for quantitative analysis and should be used as part of a broader diversified trading plan.
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CocoChoco1の投稿