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✅ VMA Avg ATR + Days to Targets 🎯1) The trend filter: LazyBear VMA You implement the well‑known “LazyBear” Variable Moving Average (VMA) from price directional movement (pdm/mdm). Internally you: Smooth positive/negative one‑bar moves (pdmS, mdmS), Turn them into relative strengths (pdiS, mdiS), Measure their difference/total (iS), and Normalize that over a rolling window to get a scaling factor vI. The VMA itself is then an adaptive EMA: vma := (1 - k*vI) * vma + (k*vI) * close, where k = 1/vmaLen. When vI is larger, VMA hugs price more; when smaller, it smooths more. Coloring: Green when vma > vma (rising), Red when vma < vma (falling), White when flat. Candles are recolored to match. Why this matters: The VMA color is your trend regime; everything else in the script keys off changes in this color. 2) What counts as a “valid” new trend? A new trend is valid only when the previous bar was white and the current bar turns green or red: validTrendStart := vmaColor != color.white and vmaColor == color.white. When that happens, you start a trend segment: Save entry price (startPrice = close) and baseline ATR (startATR = ATR(atrLen)). Reset “extreme” trackers: extremeHigh = high, extremeLow = low. Timestamp the start (trendStartTime = time). Effect: You only study / trade transitions out of a flat VMA into a slope. This helps avoid chop and reduces false starts. 3) While the trend is active On each new bar without a color change: If green trend: update extremeHigh = max(extremeHigh, high). If red trend: update extremeLow = min(extremeLow, low). This tracks the best excursion from the entry during that single trend leg. 4) When the VMA color changes (trend ends) When vmaColor flips (green→red or red→green), you close the prior segment only if it was a valid trend (started after white). Then you: Compute how far price traveled in ATR units from the start: Uptrend ended: (extremeHigh - startPrice) / startATR Downtrend ended: (startPrice - extremeLow) / startATR Add that result to a running sum and count for the direction: totalUp / countUp, totalDown / countDown. Target checks for the ended trend (no look‑ahead): T1 uses the previous average ATR move before the just‑ended trend (prevAvgUp/prevAvgDown). Up: t1Up = startPrice + prevAvgUp * startATR Down: t1Down = startPrice - prevAvgDown * startATR T2 is a fixed 6× ATR move from the start (up or down). You increment hit counters and also accumulate time‑to‑hit (ms from trendStartTime) for any target that got reached during that ended leg. If T1 wasn’t reached, it counts as a miss. Immediately initialize the next potential trend segment with the current bar’s startPrice/startATR/extremes and set validTrendStart according to the “white → color” rule. Important detail: Using prevAvgUp/Down to evaluate T1 for the just‑completed trend avoids look‑ahead bias. The current trend’s performance isn’t used to set its own T1. 5) Running statistics & targets (for the current live trend) After closing/adding to totals: avgUp = totalUp / countUp and avgDown = totalDown / countDown are the historical average ATR move per valid trend for each direction. Current plotted targets (only visible while a valid trend is active and in that direction): T1 Up: startPrice + avgUp * startATR T2 Up: startPrice + 6 * startATR T1 Down: startPrice - avgDown * startATR T2 Down: startPrice - 6 * startATR The entry line is also plotted at startPrice when a valid trend is live. If there’s no history yet (e.g., first trend), avgUp/avgDown are na, so T1 is na until at least one valid trend has closed. T2 still shows (6× ATR). 6) Win rate & time metrics Win % (per direction): winUp = hitUpT1 / (hitUpT1 + missUp) and similarly for down. (This is strictly based on T1 hits vs misses; T2 hits don’t affect Win% directly.) Average days to hit T1/T2: The script stores milliseconds from trend start to each target hit, then reports the average in days separately for Up/Down and for T1/T2. 7) The dashboard table (bottom‑right) It shows, side‑by‑side for Up/Down: Avg ATR: historical average ATR move per completed valid trend. 🎯 Target 1 / Target 2: the current trend’s price levels (T1 = avgATR×ATR; T2 = 6×ATR). ✅ Win %: T1 hit rate so far. ⏱ Days to T1/T2: average days (from valid trend start) for the targets that were reached. 8) Alerts “New Trend Detected” when a valid trend starts (white → green/red). Target hits for the active trend: Uptrend: separate alerts for T1 and T2 (high >= target). Downtrend: separate alerts for T1 and T2 (low <= target). 9) Inputs & defaults vmaLen = 17: governs how adaptive/smooth the VMA is (larger = smoother, fewer trend flips). atrLen = 14: ATR baseline for sizing targets and normalizing moves. 10) Practical read of the plots When you see white → green: that bar is your valid entry (trend start). An Entry Line appears at the start price. Target lines appear only for the active direction. T1 scales with your historical average ATR move; T2 is a fixed stretch (6× ATR). The table updates as more trends complete, refining: The average ATR reach (which resets your T1 sizing), The win rate to T1, and The average days it typically takes to hit T1/T2. Subtle points / edge cases No look‑ahead: T1 for a finished trend is checked against the prior average (not including the trend itself). First trends: Until at least one valid trend completes, T1 is na (no history). T2 still shows. Only “valid” trends are counted: Segments must start after a white bar; flips that happen color→color without a white in between don’t start a new valid trend. Time math: Uses bar timestamps in ms, converted to days; results reflect the chart’s timeframe/market session. TL;DR The VMA color defines the regime; entries only trigger when a flat (white) VMA turns green/red. Each trend’s max excursion from entry is recorded in ATR units. T1 for current trends = (historical average ATR move) × current ATR from entry; T2 = 6× ATR. The table shows your evolving edge (avg ATR reach, T1 win%, and days to targets), and alerts fire on new trends and target hits. If you want, I can add optional features like: per‑ticker persistence of stats, excluding very short trends, or making T2 a user input instead of a fixed 6× ATR.
Pine Script® indicator
by adonilopez
NY/LDN/TOK Stock Exchange Opening HoursThis indicator displays vertical dotted lines marking the exact opening times of the three major global stock exchanges: New York (NYSE), London (LSE), and Tokyo (TSE). Perfect for traders who need to track market opening sessions across different time zones. Features: New York Stock Exchange (NYSE): 9:30 AM EST/EDT London Stock Exchange (LSE): 8:00 AM GMT/BST Tokyo Stock Exchange (TSE): 9:00 AM JST Key Highlights: ✓ Automatic daylight saving time adjustments for NY and London ✓ Individual color customization for each market ✓ Toggle on/off functionality for each exchange ✓ Clean vertical dotted lines (1-pixel width) that extend across the entire chart ✓ Interactive legend in bottom-right corner showing active markets ✓ Weekdays only (Monday-Friday) - no weekend lines ✓ Uses official local time zones for accurate timing Customizable Settings: Enable/disable individual exchanges Custom color selection for each market line Dynamic legend that shows only enabled markets Time Zone Handling: The indicator automatically handles daylight saving time transitions using official time zones: America/New_York (EST/EDT) Europe/London (GMT/BST) Asia/Tokyo (JST - no DST) Perfect for: Multi-market traders Session overlap analysis Global market timing coordination Institutional trading schedules Simply add to your chart and customize colors/visibility in the indicator settings. The legend will automatically update to show your active markets in their respective colors.
Pine Script® indicator
by julbbnj
🟡🔵🟢🔴Beginner's Assistant by carljchapman🟡🔵🟢🔴 Overview This indicator dynamically marks highs and lows of the premarket (4:00am-9:30amEST) and opening range. It displays Fair Value Gaps, 9 and 21 period Exponential Moving Averages (EMA) and the Volume Weighted Average Price (VWAP). To really help beginners, it marks suggested entry points on the chart with green or red triangles, when a reasonable trend appears. Features Automatically draws blue lines for Premarket High and Low values Dynamically marks the opening Range region Visual entry signals for long and short opportunities Primarily used for stocks/funds , but works with forex and crypto Quick configuration settings to tailor details for your experience level Mobile friendly mode Supports alerts How To Use Open your chart, and select a 1 or 2 minute timeframe. Watch for green triangles and red triangles, hinting at entries for long or short positions. Pay particular attention to the price action as it approaches the bounds of the opening range and the premarket levels. I suggest also using a MACD indicator for confirmation of the trend. For scalping 0dte Options, switch frequently between the 1 ,2 and 5 minute or higher timeframes. Do this so you will not miss an entry opportunity or be unaware of the overall trend. As a beginner, until you have refined your strategy and develop risk management, take profits as low as 10%. A small profit can quickly become a much larger loss. With 0dte options, time will devour your profits even when the price doesn’t budge. What makes this indicator so beginner friendly? Charts with too many lines and colors are are a nightmare for beginners! And empty charts do not tell the whole story. Simple checkboxes in the configuration settings let you turn on and off features to match your comfort level. As you become more familiar you might try turning off the suggested entries to see if you would have selected the same or better ones yourself. Just one example of how you will learn and verify your knowledge. You will quickly spot Opening Range Breakouts and more. Why are the triangle pointers not simply above or below the bars? As a beginner, I like to review charts to see how much the price changed, then estimate how much a contract would move based on its delta. A mouthful, I know. But what price does an arrow pointing up below a bar reflect? Would I have entered at the open or close, low or high? This indicator helps by putting the marker close to the price when indicated. It can even display the actual price on the bar. This is helpful for you to make fast calculations without a measuring tool. I am an experienced trader. Can this help me make winning trades? Sure. It can also help you make losing ones! Profit is not guaranteed with any indicator or strategy. This indicator is designed to assist you as you learn and while you trade. You won't see the words BUY or SELL. This is not a signal bot! It is merely a tool to assist you. You can learn a lot by spending time observing price movement using this indicator without ever making a single trade. 🟡🔵🟢🔴
Pine Script® indicator
by carljchapman
4
GreenyyP Leverage Vortex v6Function Summary of “GreenyyP Leverage Vortex v6” General Settings Input fields for long and short base prices Configurable leverage factor Adjustable line length and label offset Toggles for chart labels and scale display Separate switch to show/hide base-price lines Individually Toggleable Levels Each level can be turned on or off independently under the Long/Short groups: L1, L2, L3 (percentage deviations from the entry price) TP (Take Profit) SL (Stop Loss) Automatic Stop-Loss Correction SL percentages are processed with math.abs() Ensures SL lines always plot below (for Long) or above (for Short) the base price regardless of input sign Drawing Logic All lines and labels redraw every 10 bars to keep the chart clean Previous labels are deleted before drawing new ones Lines are drawn with a width of 2 for clear visibility Base-Price Lines & Labeling Optional solid lines for Long and Short base prices White price labels for each base line Percentage or short text labels (e.g. “L1: 5%”, “TP: 20%”, “SL: 5%”) with configurable transparency With these features, you get fully customizable level-plotting, automatic SL handling, and clear visual cues directly on your chart.
Pine Script® indicator
by Greenyy_P
7
Debit Spread POMDP‑Inspired StrategyComprehensive Strategy for TradingView-Based Call and Put Debit Spread Options Using POMDP for Signal Generation Debit spreads limit risk to the net premium paid while capping potential profit, ideal for moderate price predictions. Pine Script in TradingView enables custom indicator integration and strategy automation for options trading. Partially Observable Markov Decision Processes (POMDPs) optimize decision-making under market uncertainty by modeling states, actions, and observations. Training a POMDP policy involves defining market states, actions, and observations from technical indicators, then simulating and refining the policy. Automating the strategy via agents or TradingView alerts can execute trades when conditions align with the POMDP-generated signals.
Pine Script® strategy
by MNeidhardt
PM + BOS + FVG Indicator & AlertsHey team it's Tanner, I have created Nitros strategy into a custom indicator, it's only the PM BOS FVG model, I will add a HOD/LOD BOS FVG custom indicator eventually, this indicator is setup to give you alerts as well. or if you just want a clean FVG indicator and or PM level indicator this works too. mess with the settings to your liking and DM me on circle or discord if you have feedback or questions, thanks team.
Pine Script® indicator
by tannermichel
Hybrid Strategy with Position Control & Breakout Filter//@version=6 indicator('Hybrid Strategy with Position Control & Breakout Filter', overlay=true) // === INPUTS === emaFastLen = input.int(8, 'Fast EMA') emaSlowLen = input.int(21, 'Slow EMA') rsiLen = input.int(14, 'RSI Length') rsiOverbought = input.int(70, 'RSI Overbought') rsiOversold = input.int(30, 'RSI Oversold') macdFast = input.int(12, 'MACD Fast') macdSlow = input.int(26, 'MACD Slow') macdSignal = input.int(9, 'MACD Signal') volatilityMultiplier = input.float(1.0, 'ATR Multiplier for Volatility Filter') // === CALCULATIONS === emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) rsi = ta.rsi(close, rsiLen) = ta.macd(close, macdFast, macdSlow, macdSignal) atr = ta.atr(14) // === VOLATILITY FILTER === volatilityThreshold = ta.sma(atr, 14) * volatilityMultiplier isVolatile = atr > volatilityThreshold // === OPENING SPIKE LOGIC (first 15 mins of session only) === sessionStart = timestamp("America/New_York", year, month, dayofmonth, 9, 30) first15Min = time >= sessionStart and time < sessionStart + 15 * 60 * 1000 openingBreakout = first15Min and close > open and ta.change(close) > atr * 1.5 // === POSITION TRACKING === var int position = 0 // 0 = no position, 1 = long, -1 = short // === ENTRY CONDITIONS === longCondition = ((ta.crossover(emaFast, emaSlow) and rsi < rsiOverbought and macdLine > signalLine and isVolatile) or openingBreakout) and position != 1 shortCondition = ta.crossunder(emaFast, emaSlow) and rsi > rsiOversold and macdLine < signalLine and isVolatile and position != -1 // === EXIT CONDITIONS === exitLong = ta.crossunder(emaFast, emaSlow) exitShort = ta.crossover(emaFast, emaSlow) // === SIGNAL PLOTS === buySignal = longCondition sellSignal = shortCondition plotshape(buySignal, title='Buy Signal', location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text='BUY') plotshape(sellSignal, title='Sell Signal', location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text='SELL') // === STATE MANAGEMENT === if (longCondition) position := 1 if (shortCondition) position := -1 if (exitLong and position == 1) position := 0 if (exitShort and position == -1) position := 0 // === PLOT EMAs === plot(emaFast, color=color.orange, title='Fast EMA') plot(emaSlow, color=color.blue, title='Slow EMA')
Pine Script® indicator
by SrikanthReddii
Hybrid Strategy with Position Control//@version=6 indicator('Hybrid Strategy with Position Control', overlay=true) // === INPUTS === emaFastLen = input.int(8, 'Fast EMA') emaSlowLen = input.int(21, 'Slow EMA') rsiLen = input.int(14, 'RSI Length') rsiOverbought = input.int(70, 'RSI Overbought') rsiOversold = input.int(30, 'RSI Oversold') macdFast = input.int(12, 'MACD Fast') macdSlow = input.int(26, 'MACD Slow') macdSignal = input.int(9, 'MACD Signal') // === CALCULATIONS === emaFast = ta.ema(close, emaFastLen) emaSlow = ta.ema(close, emaSlowLen) rsi = ta.rsi(close, rsiLen) = ta.macd(close, macdFast, macdSlow, macdSignal) // === POSITION TRACKING === var int position = 0 // 0 = no position, 1 = long, -1 = short // === ENTRY CONDITIONS === longCondition = ta.crossover(emaFast, emaSlow) and rsi < rsiOverbought and macdLine > signalLine and position != 1 shortCondition = ta.crossunder(emaFast, emaSlow) and rsi > rsiOversold and macdLine < signalLine and position != -1 // === EXIT CONDITIONS (Optional logic for reset) === exitLong = ta.crossunder(emaFast, emaSlow) exitShort = ta.crossover(emaFast, emaSlow) // === SIGNAL PLOTS === buySignal = longCondition sellSignal = shortCondition plotshape(buySignal, title='Buy Signal', location=location.belowbar, color=color.green, style=shape.triangleup, size=size.small, text='BUY') plotshape(sellSignal, title='Sell Signal', location=location.abovebar, color=color.red, style=shape.triangledown, size=size.small, text='SELL') // === STATE MANAGEMENT === if (longCondition) position := 1 if (shortCondition) position := -1 // Reset position if trend reverses if (exitLong and position == 1) position := 0 if (exitShort and position == -1) position := 0 // === PLOT EMAs === plot(emaFast, color=color.orange, title='Fast EMA') plot(emaSlow, color=color.blue, title='Slow EMA')
Pine Script® indicator
by SrikanthReddii
StockMarketWolf 9/20 EMA VWAP MACD StrategyThis strategy is all about catching momentum in the market by combining some of the most trusted technical indicators—moving averages, VWAP, and MACD—to help you spot better trade opportunities with more confidence. Here’s the simple idea: Use the 9 and 20 EMA crossover to spot when the short-term trend is turning up or down. Check that the price is trading above or below the VWAP (the average price weighted by volume for the day) to confirm the overall market sentiment. Use the MACD to make sure momentum is supporting your trade—no point jumping in if momentum isn’t backing it up. How it works: Go long when the 9 EMA crosses above the 20 EMA, price is above VWAP, and MACD is signaling positive momentum. Go short when the 9 EMA crosses below the 20 EMA, price is below VWAP, and MACD shows bearish momentum. Exit the trade when these signals flip or momentum fades. Why it’s useful: It helps you avoid trading against the trend by using the VWAP filter. The MACD momentum check cuts down on fake breakouts. It’s straightforward and works well on popular day trading charts like the 5-minute timeframe. Great for high-volume stocks and futures like SPY, QQQ, or ES futures. Things to keep in mind: It doesn’t throw out signals all day — you get quality over quantity. Like any strategy, it’s not perfect and can struggle during sideways markets. Sticking to the rules and having patience is key. All in all, this is a solid, no-nonsense strategy that mixes trend and momentum in a way that makes trading feel a bit more clear and less noisy. Perfect if you want a systematic approach without overcomplicating things.
Pine Script® strategy
by nitscode020
Position Size Calculator with Fees# Position Size Calculator with Portfolio Management - Manual ## Overview The Position Size Calculator with Portfolio Management is an advanced Pine Script indicator designed to help traders calculate optimal position sizes based on their total portfolio value and risk management strategy. This tool automatically calculates your risk amount based on portfolio allocation percentages and determines the exact position size needed while accounting for trading fees. ## Key Features - **Portfolio-Based Risk Management**: Calculates risk based on total portfolio value - **Tiered Risk Allocation**: Separates trading allocation from total portfolio - **Automatic Trade Direction Detection**: Determines long/short based on entry vs stop loss - **Fee Integration**: Accounts for trading fees in position size calculations - **Risk Factor Adjustment**: Allows scaling of position size up or down - **Visual Display**: Shows all calculations in a clear, color-coded table - **Automatic Risk Calculation**: No need to manually input risk amount ## Input Parameters ### Total Portfolio ($) - **Purpose**: The total value of your investment portfolio - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 - **Example**: If your total portfolio is worth $100,000, enter 100000 ### Trading Portfolio Allocation (%) - **Purpose**: The percentage of your total portfolio allocated to active trading - **Default**: 20.0% - **Range**: 0.0% to 100.0% - **Step**: 0.01 - **Example**: If you allocate 20% of your portfolio to trading, enter 20 ### Risk from Trading (%) - **Purpose**: The percentage of your trading allocation you're willing to risk per trade - **Default**: 0.1% - **Range**: Any positive value - **Step**: 0.01 - **Example**: If you risk 0.1% of your trading allocation per trade, enter 0.1 ### Entry Price ($) - **Purpose**: The price at which you plan to enter the trade - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Stop Loss ($) - **Purpose**: The price at which you will exit if the trade goes against you - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Risk Factor - **Purpose**: A multiplier to scale your position size up or down - **Default**: 1.0 (no scaling) - **Range**: 0.0 to 10.0 - **Step**: 0.1 - **Examples**: - 1.0 = Normal position size - 2.0 = Double the position size - 0.5 = Half the position size ### Fee (%) - **Purpose**: The percentage fee charged per transaction - **Default**: 0.01% (0.01) - **Range**: 0.0% to 1.0% - **Step**: 0.001 ## How Risk Amount is Calculated The script automatically calculates your risk amount using this formula: ``` Risk Amount = Total Portfolio × Trading Allocation (%) × Risk % ÷ 10,000 ``` ### Example Calculation: - Total Portfolio: $100,000 - Trading Allocation: 20% - Risk per Trade: 0.1% **Risk Amount = $100,000 × 20 × 0.1 ÷ 10,000 = $20** This means you would risk $20 per trade, which is 0.1% of your $20,000 trading allocation. ## Portfolio Structure Example Let's say you have a $100,000 portfolio: ### Allocation Structure: - **Total Portfolio**: $100,000 - **Trading Allocation (20%)**: $20,000 - **Long-term Investments (80%)**: $80,000 ### Risk Management: - **Risk per Trade (0.1% of trading)**: $20 - **Maximum trades at risk**: Could theoretically have 1,000 trades before risking entire trading allocation ## How Position Size is Calculated ### Trade Direction Detection - **Long Trade**: Entry price > Stop loss price - **Short Trade**: Entry price < Stop loss price ### Position Size Formulas #### For Long Trades: ``` Position Size = -Risk Factor × Risk Amount / (Stop Loss × (1 - Fee) - Entry Price × (1 + Fee)) ``` #### For Short Trades: ``` Position Size = -Risk Factor × Risk Amount / (Entry Price × (1 - Fee) - Stop Loss × (1 + Fee)) ``` ## Output Display The indicator displays a comprehensive table with color-coded sections: ### Portfolio Information (Light Blue Background) - **Portfolio (USD)**: Your total portfolio value - **Trading Portfolio Allocation (%)**: Percentage allocated to trading - **Risk as % of Trading**: Risk percentage per trade ### Trade Setup (Gray Background) - **Entry Price**: Your specified entry price - **Stop Loss**: Your specified stop loss price - **Fee (%)**: Trading fee percentage - **Risk Factor**: Position size multiplier ### Risk Analysis (Red Background) - **Risk Amount**: Automatically calculated dollar risk - **Effective Entry**: Actual entry cost including fees - **Effective Exit**: Actual exit value including fees - **Expected Loss**: Calculated loss if stop loss is hit - **Deviation from Risk %**: Accuracy of risk calculation ### Final Result (Blue Background) - **Position Size**: Number of shares/units to trade ## Usage Examples ### Example 1: Conservative Long Trade - **Total Portfolio**: $50,000 - **Trading Allocation**: 15% - **Risk per Trade**: 0.05% - **Entry Price**: $25.00 - **Stop Loss**: $24.00 - **Risk Factor**: 1.0 - **Fee**: 0.01% **Calculated Risk Amount**: $50,000 × 15% × 0.05% ÷ 100 = $3.75 ### Example 2: Aggressive Short Trade - **Total Portfolio**: $200,000 - **Trading Allocation**: 30% - **Risk per Trade**: 0.2% - **Entry Price**: $150.00 - **Stop Loss**: $155.00 - **Risk Factor**: 2.0 - **Fee**: 0.01% **Calculated Risk Amount**: $200,000 × 30% × 0.2% ÷ 100 = $120 **Actual Risk**: $120 × 2.0 = $240 (due to risk factor) ## Color Coding System - **Green/Red Header**: Trade direction (Long/Short) - **Light Blue**: Portfolio management parameters - **Gray**: Trade setup parameters - **Red**: Risk-related calculations and results - **Blue**: Final position size result ## Best Practices ### Portfolio Management 1. **Keep trading allocation reasonable** (typically 10-30% of total portfolio) 2. **Use conservative risk percentages** (0.05-0.2% per trade) 3. **Don't risk more than you can afford to lose** ### Risk Management 1. **Start with small risk factors** (1.0 or less) until comfortable 2. **Monitor your total exposure** across all open positions 3. **Adjust risk based on market conditions** ### Trade Execution 1. **Always validate calculations** before placing trades 2. **Account for slippage** in volatile markets 3. **Consider position size relative to liquidity** ## Risk Management Guidelines ### Conservative Approach - Trading Allocation: 10-20% - Risk per Trade: 0.05-0.1% - Risk Factor: 0.5-1.0 ### Moderate Approach - Trading Allocation: 20-30% - Risk per Trade: 0.1-0.15% - Risk Factor: 1.0-1.5 ### Aggressive Approach - Trading Allocation: 30-40% - Risk per Trade: 0.15-0.25% - Risk Factor: 1.5-2.0 ## Troubleshooting ### Common Issues 1. **Position Size shows 0** - Verify all portfolio inputs are greater than 0 - Check that entry price differs from stop loss - Ensure calculated risk amount is positive 2. **Very small position sizes** - Increase risk percentage or risk factor - Check if your risk amount is too small for the price difference 3. **Large risk deviation** - Normal for very small positions - Consider adjusting entry/stop loss levels ### Validation Checklist - Total portfolio value is realistic - Trading allocation percentage makes sense - Risk percentage is conservative - Entry and stop loss prices are valid - Trade direction matches your intention ## Advanced Features ### Risk Factor Usage - **Scaling up**: Use risk factors > 1.0 for high-confidence trades - **Scaling down**: Use risk factors < 1.0 for uncertain trades - **Never exceed**: Risk factors that would risk more than your comfort level ### Multiple Timeframe Analysis - Use different risk factors for different timeframes - Consider correlation between positions - Adjust trading allocation based on market conditions ## Disclaimer This tool is for educational and planning purposes only. Always verify calculations manually and consider market conditions, liquidity, and correlation between positions. The automated risk calculation assumes you're comfortable with the mathematical relationship between portfolio allocation and individual trade risk. Past performance doesn't guarantee future results, and all trading involves risk of loss.
Pine Script® indicator
by cth1903
MA Crossover Strategy with TP/SL (5 EMA Filter)How the Strategy Works on a 5-Minute Chart: Data Input (5-Minute Candles): Every single data point (candle) on your chart will represent 5 minutes of price action (Open, High, Low, Close for that 5-minute period). All calculations (MAs, EMA, signals) will be based on these 5-minute price data points. Moving Average Calculations: Fast MA (10-period SMA): This will be the Simple Moving Average of the closing prices of the last 10 five-minute candles. It reacts relatively quickly to recent price changes. Slow MA (30-period SMA): This will be the Simple Moving Average of the closing prices of the last 30 five-minute candles. It represents a slightly longer-term trend compared to the Fast MA. 5 EMA (5-period EMA): This is the Exponential Moving Average of the closing prices of the last 5 five-minute candles. Being an EMA, it gives more weight to the most recent 5-minute prices, making it very responsive to immediate price action. Signal Generation (Entry Conditions): Long Entry Signal: The 10-period SMA crosses above the 30-period SMA (indicating a potential bullish shift in the short-to-medium term trend). AND the current 5-minute candle's closing price is above the 5-period EMA (confirming that the immediate price momentum is also bullish and supporting the crossover). If both conditions are met at the close of a 5-minute candle, a "Buy" signal is generated. Short Entry Signal: The 10-period SMA crosses below the 30-period SMA (indicating a potential bearish shift). AND the current 5-minute candle's closing price is below the 5-period EMA (confirming immediate bearish momentum). If both conditions are met at the close of a 5-minute candle, a "Sell" signal is generated. Trade Execution: When a signal is triggered, the strategy enters a trade (long or short) at the closing price of that 5-minute candle. Immediately upon entry, it places two contingent orders: Take Profit (Target): Set at 2% (by default) away from your entry price. For a long trade, it's 2% above; for a short trade, 2% below. Stop Loss: Set at 1% (by default) away from your entry price. For a long trade, it's 1% below; for a short trade, 1% above. The trade will remain open until either the Take Profit or Stop Loss price is hit by subsequent 5-minute candles. Implications for Trading on a 5-Minute Chart: Increased Trade Frequency: You will likely see many more signals and trades compared to higher timeframes (like 1-hour or daily charts). This means more potential opportunities but also more transaction costs (commissions, slippage). Sensitivity to Noise: Lower timeframes are more prone to "market noise" – small, random price fluctuations that don't indicate a true trend. While the 5 EMA filter helps, some false signals might still occur. Faster Price Action: Price movements can be very rapid on a 5-minute chart. Your take profit or stop loss levels might be hit very quickly, sometimes within the same or next few candles. Parameter Optimization is Crucial: The default MA lengths (10, 30) and EMA (5) might not be optimal for every asset or market condition on a 5-minute chart. You'll need to backtest extensively and potentially adjust these lengths, as well as the targetPerc and stopPerc, to find what works best for the specific instrument you're trading. Risk Management: The fixed percentage stop loss is vital on a 5-minute chart due to its volatility. Without it, a few unfavorable moves could lead to significant losses.
Pine Script® strategy
by pandeybhavesh250502
Easy Position Size Calculator with Fees# Easy Position Size Calculator with Fees - Manual ## Overview The Easy Position Size Calculator is a Pine Script indicator designed to help traders calculate the optimal position size for their trades while accounting for trading fees. This tool automatically determines whether you're planning a long or short position and calculates the exact position size needed to risk a specific dollar amount. ## Key Features - **Automatic Trade Direction Detection**: Determines if you're going long or short based on entry price vs stop loss - **Fee Integration**: Accounts for trading fees in position size calculations - **Risk Management**: Calculates position size based on your specified risk amount - **Risk Factor Adjustment**: Allows you to scale your position size up or down - **Visual Display**: Shows all calculations in a clear, organized table ## Input Parameters ### Entry Price ($) - **Purpose**: The price at which you plan to enter the trade - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Stop Loss ($) - **Purpose**: The price at which you will exit the trade if it goes against you - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Risk ($) - **Purpose**: The maximum dollar amount you're willing to lose on this trade - **Default**: 0.0 - **Range**: Any positive value - **Step**: 0.01 ### Risk Factor - **Purpose**: A multiplier to scale your position size up or down - **Default**: 1.0 (no scaling) - **Range**: 0.0 to 10.0 - **Step**: 0.1 - **Examples**: - 1.0 = Normal position size - 2.0 = Double the position size - 0.5 = Half the position size ### Fee (%) - **Purpose**: The percentage fee charged per transaction (buy/sell) - **Default**: 0.01% (0.01) - **Range**: 0.0% to 1.0% - **Step**: 0.001 ## How It Works ### Trade Direction Detection The script automatically determines your trade direction: - **Long Trade**: Entry price > Stop loss price - **Short Trade**: Entry price < Stop loss price ### Position Size Calculation #### For Long Trades: ``` Position Size = -Risk Factor × Risk Amount / (Stop Loss × (1 - Fee) - Entry Price × (1 + Fee)) ``` #### For Short Trades: ``` Position Size = -Risk Factor × Risk Amount / (Entry Price × (1 - Fee) - Stop Loss × (1 + Fee)) ``` ### Fee Adjustment The script accounts for fees on both entry and exit: - **Long trades**: You pay fees when buying (entry) and selling (exit) - **Short trades**: You pay fees when shorting (entry) and covering (exit) ## Output Display The indicator displays a table with the following information: ### Trade Information - **Trade Type**: Shows whether it's a LONG, SHORT, or INVALID trade - **Entry Price**: Your specified entry price - **Stop Loss**: Your specified stop loss price - **Fee (%)**: The fee percentage being used ### Risk Parameters - **Risk Amount**: The dollar amount you're willing to risk - **Risk Factor**: The multiplier being applied ### Calculated Values - **Effective Entry**: The actual cost per share including fees - **Effective Exit**: The actual exit value per share including fees - **Expected Loss**: The calculated loss if stop loss is hit - **Deviation from Risk %**: Shows how close the expected loss is to your target risk - **Position Size**: The number of shares/units to trade ## Usage Examples ### Example 1: Long Trade - Entry Price: $100.00 - Stop Loss: $95.00 - Risk Amount: $500.00 - Risk Factor: 1.0 - Fee: 0.01% **Result**: The script will calculate how many shares to buy so that if the stop loss is hit, you lose approximately $500 (accounting for fees). Position Size: 99.61152 ### Example 2: Short Trade - Entry Price: $50.00 - Stop Loss: $55.00 - Risk Amount: $300.00 - Risk Factor: 1.0 - Fee: 0.01% **Result**: The script will calculate how many shares to short so that if the stop loss is hit, you lose approximately $300 (accounting for fees). Position Size: 59.87426 ## Important Notes ### Validation Requirements For the script to work properly, all of the following must be true: - Entry price > 0 - Stop loss > 0 - Risk amount > 0 - Entry price ≠ Stop loss (to determine direction) ### Negative Position Sizes The script may show negative position sizes, which is normal: - **Negative values for long trades**: Represents shares to buy - **Negative values for short trades**: Represents shares to short ### Risk Deviation The "Deviation from Risk %" shows how closely the calculated position size matches your target risk. Small deviations are normal due to: - Fee calculations - Rounding - Market precision ## Color Coding The table uses color coding for easy identification: - **Green**: Long trade information - **Red**: Short trade information - **Gray**: Invalid trade (when inputs are incorrect) - **Blue**: Final position size - **Red background**: Risk-related calculations ## Troubleshooting ### Common Issues 1. **Position Size shows 0** - Check that all inputs are greater than 0 - Ensure entry price is different from stop loss 2. **Trade Type shows INVALID** - Verify that entry price and stop loss are both positive - Make sure entry price ≠ stop loss 3. **Large Risk Deviation** - This is normal for very small position sizes - Consider adjusting your risk amount or price levels ## Best Practices 1. **Always validate your inputs** before placing actual trades 2. **Double-check the trade direction** shown in the table 3. **Review the expected loss** to ensure it aligns with your risk management 4. **Consider the effective entry/exit prices** which include fees 5. **Use appropriate risk factors** - avoid extreme values that could lead to overexposure ## Disclaimer This tool is for educational and planning purposes only. Always verify calculations manually and consider market conditions, liquidity, and other factors before placing actual trades. The script assumes that fees are charged on both entry and exit transactions.
Pine Script® indicator
by cth1903
Option Maxpain & WallsThis simple script plots three lines on your chart based on options data: Call Wall, Put Wall and Max Pain. These three numbers must be obtained elsewhere. While Tradingview has delayed options data, to my knowledge Pinescript does not allow looping through this data to calculate the numbers within the script. So the user must obtain or calculate them elsewhere then type them into the input dialog. Labels and alerts are included as user options.
Pine Script® indicator
by The_Chart_Analyst
Fear and Greed Index [DunesIsland]The Fear and Greed Index is a sentiment indicator designed to measure the emotions driving the stock market, specifically investor fear and greed. Fear represents pessimism and caution, while greed reflects optimism and risk-taking. This indicator aggregates multiple market metrics to provide a comprehensive view of market sentiment, helping traders and investors gauge whether the market is overly fearful or excessively greedy.How It WorksThe Fear and Greed Index is calculated using four key market indicators, each capturing a different aspect of market sentiment: Market Momentum (30% weight) Measures how the S&P 500 (SPX) is performing relative to its 125-day simple moving average (SMA). A higher value indicates that the market is trading well above its moving average, signaling greed. Stock Price Strength (20% weight) Calculates the net number of stocks hitting 52-week highs minus those hitting 52-week lows on the NYSE. A greater number of net highs suggests strong market breadth and greed. Put/Call Options (30% weight) Uses the 5-day average of the put/call ratio. A lower ratio (more call options being bought) indicates greed, as investors are betting on rising prices. Market Volatility (20% weight) Utilizes the VIX index, which measures market volatility. Lower volatility is associated with greed, as investors are less fearful of large market swings. Each component is normalized using a z-score over a 252-day lookback period (approximately one trading year) and scaled to a range of 0 to 100. The final Fear and Greed Index is a weighted average of these four components, with the weights specified above.Key FeaturesIndex Range: The index value ranges from 0 to 100: 0–25: Extreme Fear (red) 25–50: Fear (orange) 50–75: Neutral (yellow) 75–100: Greed (green) Dynamic Plot Color: The plot line changes color based on the index value, visually indicating the current sentiment zone. Reference Lines: Horizontal lines are plotted at 0, 25, 50, 75, and 100 to represent the different sentiment levels: Extreme Fear, Fear, Neutral, Greed, and Extreme Greed. How to Interpret Low Values (0–25): Indicate extreme fear, which may suggest that the market is oversold and could be due for a rebound. High Values (75–100): Indicate greed, which may signal that the market is overbought and could be at risk of a correction. Neutral Range (25–75): Suggests a balanced market sentiment, neither overly fearful nor greedy. This indicator is a valuable tool for contrarian investors, as extreme readings often precede market reversals. However, it should be used in conjunction with other technical and fundamental analysis tools for a well-rounded view of the market.
Pine Script® indicator
by dunesisland
F&O Time Zones – Final Fixed📌 This indicator highlights high-probability intraday time zones used in Indian F&O (Futures & Options) strategies. Ideal for scalping, breakout setups, and trap avoidance. 🕒 Covered Time Zones: • 9:15 – 9:21 AM → Flash Trades (first 1-minute volatility) • 9:21 – 9:30 AM → Smart Money Trap (VWAP fakeouts) • 9:30 – 9:50 AM → Fake Breakout Zone • 9:50 – 10:15 AM → Institutional Entry Timing • 10:15 – 10:45 AM → VWAP Range Scalps • 10:45 – 11:15 AM → Second Trap Zone • 11:15 – 1:00 PM → Trend Continuation Window • 1:00 – 1:45 PM → Volatility Compression • 1:45 – 2:15 PM → Institutional Exit Phase 1 • 2:15 – 2:45 PM → Trend Acceleration / Reversals • 2:45 – 3:15 PM → Expiry Scalping Zone • 3:15 – 3:30 PM → Dead Zone (square-off time) 🔧 Features: ✓ Clean vertical lines per zone ✓ Optional label positions (top or bottom) ✓ Adjustable line style, width, and color 🧠 Best used on: NIFTY, BANKNIFTY, FINNIFTY (5-min or lower) --- 🔒 **Disclaimer**: This script is for **educational purposes only**. It is not financial advice. Trading involves risk. Please consult a professional or do your own research before taking any positions. — 👤 Script by: **JoanJagan** 🛠️ Built in Pine Script v5
Pine Script® indicator
by JoanJagan