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1minute Nasdaq Breakout StrategyThe 1-Minute Nasdaq Breakout Strategy is a powerful intraday trading approach designed specifically for traders who thrive in fast-moving market conditions. Built for precision and speed, this strategy identifies key breakout levels on the 1-minute chart, allowing traders to capitalize on rapid momentum shifts and volatility spikes that often occur during the most active trading hours. By combining real-time price action analysis with smart volatility filters, the strategy helps distinguish between genuine breakouts and false moves, ensuring only high-probability setups are captured. It’s ideal for scalpers and short-term traders who prefer multiple opportunities throughout the session while maintaining a structured risk-to-reward framework. This strategy works exceptionally well on Nasdaq futures (NQ) or Nasdaq 100 stocks, leveraging the index’s natural volatility to generate quick, consistent profits. When used alongside proper trade management and bias confirmation tools—such as Supertrend, VWAP, or session-based levels—it becomes an invaluable part of any professional intraday trading system. Whether you’re looking to refine your scalping edge or enhance your breakout playbook, the 1-Minute Nasdaq Breakout Strategy offers the perfect balance of simplicity, precision, and performance.
Estratégia Pine Script®
por NQManiac
1
FirstStrike Long 200 - Daily Trend Rider [KedArc Quant]Strategy Description FirstStrike Long 200 is a disciplined, long-only momentum strategy designed for daily "strike-first" entries in trending markets. It scans for RSI momentum above a customizable trigger (default 50), confirmed by EMA trend filters, and limits you to *exactly one trade per day* to avoid overtrading. It uses ATR for dynamic risk management (1.5x stop, 2:1 RR target) and optional trailing stops to ride winners. Backtested with realistic commissions and sizing, it prioritizes low drawdowns (<1% max in tests) over aggressive gains—ideal for swing traders seeking quality setups in bull runs. Why It's Different from Other Strategies Unlike generic RSI crossover bots or EMA ribbon mashups that spam signals and bleed in chop, FirstStrike enforces a "one-and-done" daily gate, blending precision momentum (RSI modes with grace/sustain) with robust filters (volume, sessions, rearm dips). How It Helps Traders - Reduces Emotional Trading: One entry/day forces discipline—miss a setup? Wait for tomorrow. Perfect for busy pros avoiding screen fatigue. - Adapts to Regimes: Switch modes for trends ("Cross+Grace") vs. ranges ("Any bar")—boosts win rates 5-10% in backtests on high-beta names like . - Risk-First Design: ATR scales stops to vol capping DD at 0.2% while targeting 2R winners. Trailing option locks +3-5% runs without early exits. - Quick Insights: Labels/alerts flag entries with RSI values; bgcolor highlights signals for visual scanning. Helps spot "first-strike" edges in uptrends, filtering ~60% noise. Why This Is Not a Mashup This isn't a Frankenstein of off-the-shelf indicators—while it uses standard RSI/EMA/ATR (core Pine primitives), the innovation lies in: - Custom Trigger Engine: Switchable modes (e.g., "Cross+Grace+Sustain" requires post-cross hold) prevent perpetual signals, unlike basic `ta.crossover()`. - Daily Rearm Gate: Resets eligibility only after a dip (if enabled), tying momentum to mean-reversion—original logic not found in common scripts. - Per-Day Isolation: `var` vars + `ta.change(time("D"))` ensure zero pyramiding/overlaps, beyond simple session filters. All formulae are derived in-house for "first-strike" (early RSI pops in trends), not copied from public repos. Input Configurations Let's break down every input in the FirstStrike Long 200 strategy. These settings let you tweak the strategy like a dashboard—start with defaults for quick testing, then adjust based on your asset or timeframe (5m for intraday). They're grouped logically to keep things organized, and most have tooltips in the script for quick reminders. RSI / Trigger Group: The Heart of Momentum Detection This is where the magic starts—the strategy hunts for "upward energy" using RSI (Relative Strength Index), a tool that measures if a stock is overbought (too hot) or oversold (too cold) on a 0-100 scale. - RSI Length: How many bars (candles) back to calculate RSI. Default is 14, like a 14-day window for daily charts. Shorter (e.g., 9) makes it snappier for fast markets; longer (21) smooths out noise but misses quick turns. - Trigger Level (RSI >= this): The key RSI value where the strategy says, "Go time!" Default 50 means enter when RSI crosses or holds above the neutral midline. Why is this trigger required? It acts as your "green light" filter—without it, you'd enter on every tiny price wiggle, leading to endless losers. RSI above this shows building buyer power, avoiding weak or sideways moves. It's essential for quality over quantity, especially in one-trade-per-day setups. - Trigger Mode: Picks how strict the RSI signal must be. Options: "Cross only" (exact RSI crossover above trigger—super precise, fewer trades); "Cross+Grace" (crossover or within a grace window after—gives a second chance); "Cross+Grace+Sustain" (crossover/grace plus RSI holding steady for bars—best for steady climbs); "Any bar >= trigger" (looser, any bar above—more opportunities but riskier in chop). Start with "Any bar" for trends, switch to "Cross only" for caution. - Grace Window (bars after cross): If mode allows, how many bars post-RSI-cross you can still enter if RSI dips but recovers. Default 30 (about 2.5 hours on 5m). Zero means no wiggle room—pure precision. - Sustain Bars (RSI >= trigger): In sustain mode, how many straight bars RSI must stay above trigger. Default 3 ensures it's not a fluke spike. - Require RSI Dip Below Rearm Before Any Entry?: A yes/no toggle. If on, the strategy "rearms" only after RSI dips below a low level (like a breather), preventing back-to-back signals in overextended rallies. - Rearm Level (if requireDip=true): The dip threshold for rearming. Default 45—RSI must go below this to reset eligibility. Lower (30) for deeper pullbacks in volatile stocks. For the trigger level itself, presets matter a lot—default 50 is neutral and versatile for broad trends. Bump to 55-60 for "strong momentum only" (fewer but higher-win trades, great in bull runs like tech surges); drop to 40-45 for "early bird" catches in recoveries (more signals but watch for fakes in ranges). The optimize hint (40-60) lets you test these in TradingView to match your risk—higher presets cut noise by 20-30% in backtests. Trend / Filters Group: Keeping You on the Right Side of the Market These EMAs (Exponential Moving Averages) act like guardrails, ensuring you only long in uptrends. - EMA (Fast) Confirmation: Short-term EMA for price action. Default 20 periods—price must be above this for "recent strength." Shorter (10) reacts faster to intraday pops. - EMA (Trend Filter): Long-term EMA for big-picture trend. Default 200 (classic "above the 200-day" rule)—price above it confirms bull market. Minimum 50 to avoid over-smoothing. Optional Hour Window Group: Timing Your Strikes Avoid bad hours like lunch lulls or after-hours tricks. - Restrict by Session?: Yes/no for using exact market hours. Default off. - Session (e.g., 0930-1600 for NYSE): Time string like "0930-1600" for open to close. Auto-skips pre/post-market noise. - Restrict by Hour Range?: Fallback yes/no for simple hours. Default off. - Start Hour / End Hour: Clock times (0-23). Defaults 9-15 ET—focus on peak volume. Volume Filter Group: No Volume, No Party Confirms conviction—big moves need big participation. - Require Volume > SMA?: Yes/no toggle. Default off—only fires on above-average volume. - Volume SMA Length: Periods for the average. Default 20—compares current bar to recent norm. Risk / Exits Group: Protecting and Profiting Smartly Dynamic stops based on volatility (ATR = Average True Range) keep things realistic. - ATR Length: Bars for ATR calc. Default 14—measures recent "wiggle room" in price. - ATR Stop Multiplier: How far below entry for stop-loss. Default 1.5x ATR—gives breathing space without huge risk - Take-Profit R Multiple: Reward target as multiple of risk. Default 2.0 (2:1 ratio)—aims for twice your stop distance. - Use Trailing Stop?: Yes/no for profit-locking trail. Default off—activates after entry. - Trailing ATR Multiplier: Trail distance. Default 2.0x ATR—looser than initial stop to let winners run. These inputs make the strategy plug-and-play: Defaults work out-of-box for trending stocks, but tweak RSI trigger/modes first for your style. Always backtest changes—small shifts can flip a 40% win rate to 50%+! Outputs (Visuals & Alerts): - Plots: Blue EMA200 (trend line), Orange EMA20 (price filter), Green dashed entry price. - Labels: Green "LONG" arrow with RSI value on entries. - Background: Light green highlight on signal bars. - Alerts: "FirstStrike Long Entry" fires on conditions (integrates with TradingView notifications). Entry-Exit Logic Entry (Long Only, One Per Day): 1. Daily Reset: New day clears trade gate and (if required) rearm status. 2. Filters Pass: Time/session OK + Close > EMA200 (trend) + Close > EMA20 (price) + Volume > SMA (if enabled) + Rearmed (dip below rearm if toggled). 3. Trigger Fires: RSI >= trigger via selected mode (e.g., crossover + grace window). 4. Execute: Enter long at close; set daily flag to block repeats. Exit: - Stop-Loss: Entry - (ATR * 1.5) – dynamic, vol-scaled. - Take-Profit: Entry + (Risk * 2.0) – fixed RR. - Trailing (Optional): Activates post-entry; trails at Close - (ATR * 2.0), updating on each bar for trend extension. No shorts or hedging—pure long bias. Formulae Used - RSI: `ta.rsi(close, rsiLen)` – Standard 14-period momentum oscillator (0-100). - EMAs: `ta.ema(close, len)` – Exponential moving averages for trend/price filters. - ATR: `ta.atr(atrLen)` – True range average for stop sizing: Stop = Entry - (ATR * mult). - Volume SMA: `ta.sma(volume, volLen)` – Simple average for relative strength filter. - Grace Window: `bar_index - lastCrossBarIndex <= graceBars` – Counts bars since RSI crossover. - Sustain: `ta.barssince(rsi < trigger) >= sustainBars` – Consecutive bars above threshold. - Session Check: `time(timeframe.period, sessionStr) != 0` – TradingView's built-in session validator. - Risk Distance: `riskPS = entry - stop; TP = entry + (riskPS * RR)` – Asymmetric reward calc. FAQ Q: Why only one trade/day? A: Prevents revenge trading in volatile sessions . Backtests show it cuts losers by 20-30% vs. multi-entry bots. Q: Does it work on all assets/timeframes? A: Best for trending stocks/indices on 5m-1H. Test on crypto/forex with wider ATR mult (2.0+). Q: How to optimize? A: Use TradingView's optimizer on RSI trigger (40-60) and EMA fast (10-30). Aim for PF >1.0 over 1Y data. Q: Alerts don't fire—why? A: Ensure `alertcondition` is enabled in script settings. Test with "Any alert() function calls only." Q: Trailing stop too loose? A: Tune `trailMult` to 1.5 for tighter; it activates alongside fixed TP/SL for hybrid protection. Glossary - Grace Window: Post-RSI-cross period (bars) where entry still allowed if RSI holds trigger. - Rearm Dip: Optional pullback below a low RSI level (e.g., 45) to "reset" eligibility after signals. - Profit Factor (PF): Gross profit / gross loss—>1.0 means winners outweigh losers. - R Multiple: Risk units (e.g., 2R = 2x stop distance as target). - Sustain Bars: Consecutive bars RSI stays >= trigger for mode confirmation. Recommendations - Backtest First: Run on your symbols (/) over 6-12M; tweak RSI to 55 for +5% win rate. - Live Use: Start paper trading with `useSession=true` and `useVol=true` to filter noise. - Pairs Well With: Higher TF (daily) for bias; add ADX (>25) filter for strong trends (code snippet in prior chats). - Risk Note: 10% sizing suits $100k+ accounts; scale down for smaller. Not financial advice—past performance ≠ future. - Publish Tip: Add tags like "momentum," "RSI," "long-only" on TradingView for visibility. Strategy Properties & Backtesting Setup FirstStrike Long 200 is configured with conservative, realistic backtesting parameters to ensure reliable performance simulations. These settings prioritize capital preservation and transparency, making it suitable for both novice and experienced traders testing on stocks. Initial Capital $100,000 Standard starting equity for portfolio-level testing; scales well for retail accounts. Adjust lower (e.g., $10k) for smaller simulations. Base Currency Default (USD) Aligns with most US equities (e.g., NASDAQ symbols); auto-converts for other assets. Order Size 1 (Quantity) Fixed share contracts for simplicity—e.g., buys 1 share per trade. For % of equity, switch to "Percent of Equity" in strategy code. Pyramiding 0 Orders No additional entries on open positions; enforces strict one-trade-per-day discipline to avoid overexposure. Commission 0.1% Realistic broker fee (e.g., Interactive Brokers tier); factors in round-trip costs without over-penalizing winners. Verify Price for Limit Orders 0 Ticks No slippage delay on TPs—assumes ideal fills for historical accuracy. Slippage 0 Ticks Zero assumed slippage for clean backtests; real-world trading may add 1-2 ticks on volatile opens. These defaults yield low drawdowns (<0.3% max in tests) while capturing trend edges. For live trading, enable slippage (1-3 ticks) to mimic execution gaps. Always forward-test before deploying! ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Estratégia Pine Script®
por kedarcquant
BTC Momentum Strategy Ver2.0 by @AshokTrendThe BTC Momentum Strategy with LazyBear SQZMOM & Custom SL + Angle Filter is a technical trading strategy that blends multiple proven concepts to capture favorable momentum trades in Bitcoin or other assets. ### Core Components - **LazyBear Squeeze Momentum Indicator (SQZMOM):** This indicator identifies low volatility "squeeze" periods when Bollinger Bands contract inside Keltner Channels, signaling potential explosive moves once the squeeze releases. The strategy uses momentum derived from linear regression on price to judge trade direction—positive momentum favors longs, negative momentum favors shorts. - **EMA 200 Trend Filter:** The 200-period Exponential Moving Average defines the prevailing trend. Trades are taken long only if price is above the EMA and short if below, reducing risk of countertrend entries. - **Price Movement Angle Filter:** The strategy calculates the angle of recent price movement over a lookback period. Entries require a price angle greater than 27 degrees for longs and less than -27 degrees for shorts, confirming strong directional momentum and filtering out weak moves. - **Stop Loss Management:** A custom stop loss in fixed points distance from the entry price manages risk, protecting capital if the market moves against the trade. - **Trading Time Window:** The strategy trades only during Indian market hours (4:00 AM to 11:00 PM IST), filtering trades to relevant active market sessions. - **Swing Levels:** Recent swing highs and lows are used as additional confirmation levels for entries and exits, helping to time trade triggers more precisely. ### How Trades Are Executed - **Long Entry:** When trading hours are active, SQZMOM indicates bullish momentum (momentum histogram positive and squeeze released), price is in an uptrend (above EMA 200), the current close is above recent swing highs, and the price movement angle exceeds 27 degrees, the strategy enters a long position. - **Short Entry:** When trading hours are active, SQZMOM shows bearish momentum (momentum histogram negative and squeeze released), price is in a downtrend (below EMA 200), the current close is below recent swing lows, and the price movement angle is less than -27 degrees, the strategy enters a short position. - **Exits:** Positions are closed either when price breaches opposite swing levels, momentum conditions reverse, or trading hours end. Stop losses are also triggered if price moves unfavorably by the defined points. ### Strategy Benefits - Detects volatility contractions and momentum expansions for potentially strong directional moves. - Reduces false entries with the EMA trend and angle momentum filters. - Manages risk actively with stop losses and time-based filters. - Combines multiple technical tools — momentum, trend, volatility, price structure — for a holistic approach. This strategy tends to work best on active higher timeframes where trends and momentum have clarity and is designed for disciplined, momentum-focused trading with robust trade management. Concepts used- SMC TRednline Breaout, Timefram-15M or Higher For better Result. Note-We are not SEBI-Registered, Graphs, charts, and tables are provided for illustrative purposes only. Investing is subject to market risks. Investors acknowledge and accept the potential loss of some or all of an investment's value.Please consult your financial advisor before taking any decision. Please whatsapp only=7835983697.
Estratégia Pine Script®
por ashok137a
OneHolo-TGAPSNRTGAPSNR: Multi time frame - Trend Gap Stop And Reverse strategy/Study PnL. This script outlines a systematic approach to generating buy and sell signals by combining Fair Value Gaps (FVGs), specific market structures, and three different trend direction methods (Swing, Gravity, and FVG Inverse direction). The strategy incorporates multiple entry modes, such as Hyper Mode, Swiper Mode, and a Custom mode, allowing users to tailor signal conditions, alongside extensive logic for trade management, higher time frame analysis, and various visual indicators for plotting trend, pivots, and profit and loss information. I. Core Trend Direction Consensus (The Three-Pillar System) The primary method for determining market bias is a three-pillar consensus model, requiring all directional methods to align before the overall Trend Direction is established (up or down). This ensures high conviction for trend signals. • Pillar 1: Swing Direction: Determines market direction based on classic price action, specifically checking for continuous higher highs and higher lows for an upward bias, or lower lows and lower highs for a downward bias. • Pillar 2: Gravity Direction (Peak and Valley): This uses specific market structure pivots. Direction is set based on whether the close price successfully crosses the established recent Peak High (indicating upward momentum) or crosses under the recent Valley Low (indicating downward pressure). • Pillar 3: FVG Inverse Direction: This relies on Fair Value Gaps (FVGs), defined as a gap between the current bar's price and the price two bars prior. Direction shifts occur when the Close price crosses the midpoint of the last relevant FVG. For instance, crossing above the midpoint of the last FVG Down signals a potential inverse long trade. II. Flexible Signal Generation Modes The strategy offers several pre-configured and highly detailed entry modes, plus a powerful Custom Mode: • Session Open Range Break (ORB) Mode: Uses the high/low of the session's first bar to generate initial signals, then defaults to the Three-Pillar Trend Direction after the ORB session concludes. • Swiper Mode: Designed to identify continuations, combining a confirmed Trend Direction with a Stop and Reverse signal (SnR) while actively avoiding confirmed pivot breaks. • Hyper/Aggressive Modes: These modes use broad combinations of signals, allowing for earlier entry based on momentum and structural breaks (like PeakCrossLong, SnRtrapLong, or FVG signals). • Custom Query Mode (The Seven-Slot Logic): This non-redundant system allows the user to define complex, tailored entry conditions by selecting any combination of 14 core patterns across seven distinct slots. ◦ AND/OR Combination: For each of the seven slots, the user determines if the chosen pattern must be met (AND component) or if it can serve as an alternative trigger (OR component). ◦ The final signal requires that all configured AND conditions are true and then integrates the result of the OR conditions, allowing for highly specific "hook queries" (e.g., "Condition A AND Condition B, OR Condition C"). III. Advanced PnL and Mobile App Diagnostics A key proprietary element is the implementation of a dual PnL system and customized visualization features: • Dual PnL Display (Strategy PnL vs. Study PnL): Users can choose to view either the native platform's strategy performance data or the script's internal, proprietary Study PnL. The Study PnL calculates profits/losses based strictly on the close price and tracks performance using Pine Script® arrays, providing a transparent, diagnostic view of performance independent of broker/platform simulation biases. • Lower Panel Visualization: Both PnL types are displayed on the lower panel using detailed bar plots (style=plot.style_columns), which color according to profitability, and include labels that show current open profit and total net profit. • Detailed Trade Labels: The script generates detailed, customizable labels on both the chart (above/below bars) and the lower PnL panel, providing historical PnL, number of trades, and real-time profit information for each entry or exit. IV. Higher Time Frame (HTF) Context and Lookahead Prevention The strategy integrates multi-time frame analysis using strict methodology to prevent lookahead bias: • HTF Bias Filtering: When enabled, the strategy uses the position calculated on a user-defined higher time frame (HTF) as a mandatory filter. A long signal on the current chart is only executed if the HTF is also in a long position, and vice-versa. • Lookahead Prevention: To maintain integrity, all HTF data requests use a mandatory lookback index (often ) to ensure the script only accesses confirmed data from the prior completed bar on the higher timeframe. • HTF Visual Mode: The user can opt to display key structural elements—such as the Gravity Pivots and the Trend Direction blocks—as calculated on the HTF, overlaying this higher-level context onto the current chart for visual analysis. The TGAPSNR: Multi time frame - Trend Gap Stop And Reverse strategy/Study PnL script, despite its complexity, intentionally excludes realistic considerations such as fees, slippage, and explicit risk management settings (like fixed stop-loss or take-profit rules) from its primary logic. Here is an explanation of why these elements are omitted in the strategy's current implementation and why they must be applied by the user for real-world application, drawing on the context of the sources: 1. Absence of Realistic Fees, Commissions, and Slippage The primary function of the TGAPSNR script is to execute intricate signal generation and diagnostic PnL calculation based on its three-pillar trend system and Custom Mode logic. However, the strategy's backtesting results, particularly those displayed by the internal Study PnL feature, are based purely on price difference (e.g., (close - lse) * syminfo.pointvalue * IUnits). • Strategy Result Requirements: TradingView explicitly states that strategies published publicly should strive to use realistic commission AND slippage when calculating backtesting results to avoid misleading traders. • User Responsibility: Since the script currently focuses on signal integrity and uses a fixed contract size (IUnits = 1) without configurable commission/slippage inputs shown in the source, the user must manually configure these fees within the Pine Script® Strategy Tester settings (Properties tab) to ensure the strategy results are reflective of actual trading costs. 2. Omission of Built-in Risk Management (Stop-Loss and Take-Profit) The TGAPSNR strategy's core focuses on entry signals and trend confirmation. Exits are primarily governed by: • Reversal signals (BuyStop or SellStop). • End-of-Day (EOD) session closures (EODStop). • HTF bias opposition. What is Missing: The script does not include explicit, hard-coded risk management parameters for traditional stop-loss (SL) or take-profit (TP) levels (e.g., risk percentage or ATR-based exits). • Viable Risk: TradingView guidelines stipulate that strategies should generally risk sustainable amounts of equity, usually not exceeding 5-10% on a single trade, and trade size must be appropriate. • User Application: To ensure the strategy operates within realistic risk boundaries, users must apply their own risk management rules. This includes: ◦ Implementing realistic stops and profit targets, which can be added via Pine Script® code or manually managed during live trading. ◦ Sizing trades to only risk sustainable amounts of equity. The current default unit size (IUnits = 1) is unrealistic for risk assessment unless the symbol is micro-sized. 3. Execution Quality (Fills) The strategy is set to fill_orders_on_standard_ohlc = true and operates on confirmed bar closes (barstate.isconfirmed). • Fill Assumption: This suggests the strategy primarily uses close price or the HTF close price (EntryPrice = HTFClose) for execution. • Real-World Limitation: In volatile markets, obtaining a fill price equal to the close of the bar is rare. The user must be aware that the simulated fill price shown in backtesting may differ significantly from actual execution prices due to market action and chosen order type, reinforcing the importance of applying slippage settings. In summary, while the script provides highly detailed and unique signal generation and internal PnL diagnostics, users must exercise caution and apply their own realistic parameters for fees, slippage, and explicit risk controls to prevent misleading performance results and ensure viable trading
Estratégia Pine Script®
por OneHolo
3
BTC 5-MA Multi Cross Strategy By Hardik Prajapati Ai TradelabThis strategy is built around the five most powerful and commonly used moving averages in crypto trading — 5, 20, 50, 100, and 200-period SMAs (Simple Moving Averages) — applied on a 1-hour Bitcoin chart. Core Idea: The strategy aims to identify strong bullish trends by confirming when the price action crosses above all key moving averages. This alignment of multiple MAs indicates momentum shift and helps filter out false breakouts. ⸻ ⚙️ How It Works: 1. Calculates 5 Moving Averages: • 5 MA → Short-term momentum (fastest signal) • 20 MA → Near-term trend confirmation • 50 MA → Mid-term trend filter • 100 MA → Long-term trend foundation • 200 MA → Macro-trend direction (strongest support/resistance) 2. Buy Condition (Entry): • A Buy is triggered when: • The price crosses above the 5 MA, and • The closing price remains above all other MAs (20, 50, 100, 200) This signals that momentum is aligned across all time horizons — a strong uptrend confirmation. 3. Sell Condition (Exit): • The position is closed when price crosses below the 20 MA, showing weakness in short-term momentum. 4. Visual Signals: • 🟢 BUY triangle below candles → Entry signal • 🔴 SELL triangle above candles → Exit signal • Colored MAs plotted for trend clarity. ⸻ 📈 Recommended Usage: • Chart: BTC/USDT • Timeframe: 1 Hour • Type: Trend-following crossover strategy • Ideal for: Identifying major breakout moves and confirming trend reversals. ⸻ ⚠️ Notes: • This script is meant for educational and backtesting purposes only. • Always apply additional confirmation tools (like RSI, Volume, or VIX-style filters) before live trading. • Works best during trending markets; may produce whipsaws in sideways zones.
Estratégia Pine Script®
por hpstudio3d
Trend Catcher and Mean ReversionPlease DM if you want to use this strategy. it took long time to make this code profitable using 3 parameters only! it allow you to: 1- Pyramid as you see fit. 2- allow option to use trend catching strategy ( while keeping mean reversion strategy) 3- Time filter to limit trading and exit at your preferred time. 4- it works for long, short or both positions. 5- has trailing tp as an option as well while keeping initial sl as hard stop 6- tp multiple (of stop loss) is optional ongoing working for alerts and automation. More on that for subscribers only. i will charge the minimum fee to utilize this code as we don't need your money but we need people to support our vision.
Estratégia Pine Script®
por waseem_bogary
PG DMean & Price Sync ver 9.4 - ConsolidatedPG DMean & Price Sync Strategy (SD Filter) This strategy combines the momentum-oscillator properties of the Detrended Mean (DMean) with a Standard Deviation (SD) Price Filter for confirming trend direction, aiming to isolate high-conviction trades while actively managing risk. 🔑 Core Logic DMean Momentum Signal: The strategy's primary engine is the DMean, which measures the percentage difference between the current closing price and a longer-term Moving Average (price_ma). It is then smoothed by a DMean Signal line (MA of the DMean). Entry Signal: A trade is triggered when the DMean line crosses above (for Long) or below (for Short) its Signal Line, but it must clear a user-defined Dead Zone Threshold to confirm momentum commitment. SD Filter Confirmation (Price Sync): A Standard Deviation Channel, based on a separate user-defined price source and period, is used to filter trades. Long Filter: Allows Long entries only when the price is trading above the lower SD band, suggesting the current price action is stronger than the recent average volatility to the downside. Short Filter: Allows Short entries only when the price is currently below the Filter Basis (SMA), confirming a bearish stance within the SD channel. 🛡️ Risk & Exit Management Primary Exit: All trades are exited by reverse DMean Crossover/Crossunder, meaning the position is closed when the DMean momentum reverses against the open trade (e.g., DMean crosses under the Signal to exit a Long). Hard Stop Loss (Short Trades): A mandatory percentage-based Hard Stop Loss is implemented only for short positions to protect against sudden upward price spikes, closing the trade if the loss exceeds the set percentage. (Note: This version does not include a Hard SL for Long trades). 📊 Performance Dashboard A custom Performance Dashboard Table is displayed at the bottom right of the chart to provide real-time, at-a-glance comparison of the strategy's equity performance versus a simple Buy & Hold over the selected backtesting date range.
Estratégia Pine Script®
por ipuneet
Golden StrategyTitle: XAUUSD (Gold) Smart Entry Strategy with Dynamic Scaling Description: This is a precision-based entry strategy for XAUUSD (Gold), optimized for lower timeframes like the 5-minute and 15-minute charts. It uses a custom logic engine to detect potential reversals and applies dynamic scaling (pyramiding) to build positions strategically based on price behavior. 🔍 Key Features: ✅ Smart entry logic for trend shifts ✅ Configurable position scaling up to 7 level ✅ Built-in capital efficiency for smaller accounts ✅ Backtest window control for historical testing ✅ Compact on-screen table for user guidance Timeframes Recommended: 🔸 15-minute: Best balance of risk and consistency 🔸 5-minute: More frequent signals, slightly higher risk ⚠️ Important Disclaimer This script is for educational and informational purposes only. It is not financial advice or a signal service. Trading carries risk, and past performance does not guarantee future results. Use at your own discretion and always manage risk appropriately.
Estratégia Pine Script®
por hdkd5636
Trend-Following & Breakout — Index Quant Strategy (NASDAQ)📈 Trend-Following & Breakout — Index Quant Strategy (NASDAQ & S&P 500) Type: Invite-only strategy Markets: NASDAQ 100 (NAS100 / US100 / NQ), S&P 500 (US500 / SPX), and other major equity indices. 🧠 Concept: Continuous trend model combining EWMAC (trend-following) and Donchian (breakout) signals, scaled by forecast strength and portfolio risk. ⚙️ Execution: Rebalances only on decision-bar closes, using hysteresis and a no-trade band to reduce churn. 📊 Default bias: Long-only — aligned with equity index drift. 🧩 How it works • EWMAC Trend: Difference between fast and slow EMAs, normalized by an EWMA of absolute returns. • Donchian Breakout: Distance beyond a 200-bar channel (Strict mode) or relative z-score position within it. • Forecast combination: Weighted sum of trend and breakout points, clamped to ± capPoints. • Hysteresis: Prevents quick sign flips near zero forecast. • Risk scaling: Maps forecast strength to position size using equity × risk budget × ATR-based stop distance. • Rebalance: Executes only if the required quantity change exceeds the Δqty threshold; can optionally block increases on Sundays (for CFDs). ⚙️ Default parameters Deployed on NQ / US100 / NAS100 on Daily Timeframe • Decision timeframe = 360 min (other options from 1 min to 1 week). • Trend (EWMAC): Fast = 64, Slow = 256, Vol Norm = 32, Weight = 0.8. • Breakout (Donchian): Length = 200, Mode = Strict, Weight = 0.2. • Forecast scaling: ptsPerSigma = 1.0, capPoints = 10. • Risk % per rebalance = 4 % of equity. • ATR stop: ATR(14) × 1.0. • No-trade band (Δqty) = 4 units. • Hysteresis = 2 forecast points. • Bias = Long-only (Neutral / Long-bias 50 % optional). • Skip Sunday increases = false (default). 📋 Backtest properties (documented) • Initial capital = 100 000 USD. • Commission = 0.20 % per trade. • Pyramiding = 10. • Calc on every tick = false. • Point value = 1 (for NAS100 CFD). • No financing or slippage modeled. • If using CFDs, account for overnight funding. • On futures (NQ / ES), carry is implicit. 📊 Typical behaviour • Many small scratches, a few large winners. • Performs best during multi-week / multi-month trends. • Underperforms in tight or volatile ranges. • Average hold ≈ 30 – 90 days in historical tests. 💡 Risk and performance guide (illustrative) Sharpe ≈ 1.25 Sortino ≈ 1.10 – 1.30 Max drawdown ≈ –18 % to –25 % Annual volatility ≈ 24 – 28 % CAGR ≈ 50 – 60 % (at 4 % risk) Edge ratio ≈ 5 (MFE / MAE) Historical backtests only — past performance does not guarantee future results. 🌍 Intended markets and timeframes Optimized for NASDAQ 100 and S&P 500; also effective on similar indices (DAX, Dow Jones, FTSE). Best on Daily or higher timeframes. Aligns with long-term index drift — suitable for long-bias systematic trend portfolios. ⚠️ Limitations • Backtests exclude CFD funding costs. • Trend models will have losing streaks in range-bound markets. • Designed for experienced traders seeking systematic exposure. 🔑 Requesting access Send a private TradingView message to with the text: “Request access to Trend-Following & Breakout — Index Quant Strategy.” Access is granted only on explicit request. For further information, see my TradingView Signature. 🆕 Release notes (v1.0) • Initial release (360 min TF): EWMAC 64/256 + Donchian 200 Strict. • Risk 4 %, ATR × 1.0, Long-only bias, hysteresis 2 pts, Δqty ≥ 4. • Developed for NASDAQ 100 and S&P 500 indices. • Implements continuous risk-scaled positioning and no-trade band logic. 🧾 Originality statement This strategy is original work built entirely from TradingView built-ins (EMA, ATR, Highest, Lowest). It does not reuse open-source invite-only code. Any future reuse of open scripts will be done with explicit permission and credit.
Estratégia Pine Script®
por Algorific
my_strategy_2.0Overview: This is a high-speed scalping strategy optimized for volatile crypto assets (BTC, ETH, etc.) on timeframes 1m–5m. It combines trend-following SuperTrend with confirmations from MACD, RSI, Bollinger Bands, and volume spikes for precise entries. Focus on quick profits (1–3 ATR) with strict risk control: partial take-profits, stop-loss, and trailing breakeven after the first TP. Key Signals: Long: SuperTrend flip up + MACD crossover up + RSI >50 + BB Upper breakout + volume spike + volatility filter (ATR >0.5%). Short: Similar but downward. Exits and Risks: TP: 33% at +1 ATR, 33% at +2 ATR, 34% at +3 ATR (customizable). SL: Initial at -1 ATR, after TP1 — to breakeven with trailing on BB midline (optional). Filters: Minimum ATR to avoid flat markets; realistic commissions in backtests. Recommendations: Test on 2020–2025 data (out-of-sample 2024+). Expected Win Rate ~55%, Profit Factor >1.8, Drawdown <10%. Ideal for 1–2% risk per trade. Not for beginners — use paper trading. Disclaimer: Past results do not guarantee future performance. Trade at your own risk. (Pine v6 code, ready for publication. Author: gopog777 with expert fixes.)
Estratégia Pine Script®
por gopog777
1
BTC 1D InOut EMA (WF + Optimizer Ready, Long-Only)BTC 1D In/Out EMA — Walk‑Forward & Optimizer‑Ready (Long‑Only) What it is Daily BTC trend strategy that beat buy‑and‑hold over full history with much shallower drawdowns. It includes walk‑forward windows, optimizer‑friendly inputs, realistic costs, and alert‑ready entries/exits. Defaults Fast EMA 13, Slow EMA 90, Exit threshold 1.5, Squeeze = Sqz Off only, Trend filter ON (EMA 100), Trailing OFF. Execution: commission 0.06% per side, slippage 0–1 ticks, quantity % of equity, pyramiding 0. How to use Add to a BTC 1‑Day chart (e.g., BLX / INDEX:BTCUSD for full history; BYBIT:BTCUSDT.P or BINANCE:BTCUSDT.P for live). Set alerts → Condition: this strategy → Order fills only → Once per bar close. Walk‑forward modes let you test IS/OOS windows before reverting to “Whole Chart” for live alerts. Risk This is educational software, not investment advice. Past performance (simulated or live) does not guarantee future results. Trend strategies still incur drawdowns; size positions responsibly. Contact / Docs Docs: docs.google.com Support: grantlyt58+support@gmail.com Tags: BTC, BTCUSD, Bitcoin, EMA, trend, strategy, long‑only, walk‑forward
Estratégia Pine Script®
por grantlyt58
Kz GC1! ORBStrategy that trades breakouts on GC1! futures on the 5min timeframe. It also works on MGC1! for lower drawdown and to manage Apex and Top Step accounts with the lower risk. Risk Disclaimer: Past results as well as strategy tester reports do not indicate future performance. Guarantees do not exist in trading. By using this strategy you risk losing all your money. Important: It trades all days that markets are open. Set times may be seen on settings. Trades multiple times a day sometimes. It works on the 5 and 15min timeframe only. Results are better on 5min timeframe. The settings are optimized already for GC1! on the 5min timeframe. How it works: Every trading day it measures the range of the first 15min candle of pre-selected hours. As soon as price closes above or below on the 15min timeframe, it will trade the breakout targeting a set risk to reward ratio. SL on the opposite side of the range. Settings: Hourly Trading Hours: These are the times that worked best for this strategy. All boxes should be checked for best results. Excluded times were when it performed bad which is why those times have been left out. ORB Formation Period: This setting determines on which timeframe candle has to close outside the opening range box in order to take a trade. It's set to 15min by default because this is what worked by far the best Entry Type: Entries are immediate instead of waiting for a pull back to enter on a limit order. Limit Orders: If enabled, the strategy will place a pending order x points from the current price, instead of a market order. Immediate orders are enabled by default for a better performance. Important: It doesn't actually place a limit order. The strategy will just wait for a pullback and then enter with a market order. It's more like a hidden limit order. Limit Order Offset Points: If you have limit orders enabled, this setting determines how many points from the current price the limit order will be placed. FVG Detection Type: How fast it detects the fair value gaps. Standard detection over immediate had better performance Risk Type: You can chose either between Fixed USD Amount, Risk per Trade in % or Fixed Contract Size. By default it's set to fixed contract size. Risk Amount (USD or Contracts): This setting is to set how many USD or how many contracts you want to risk per trade. Make sure to check which risk type you have selected before you choose the risk amount. Take Profit Multiplier: This is simply the total SL size in points multiplied by x. Example: If you put 2, you get a 2:1 Risk to Reward Ratio. By Default it's set to 2.5 because this gave the best results in backtests. Stop Loss Padding: This is simply the buffer in points that is added to the SL for safety reasons. If you have it on 0, the SL will be at the exact price of the opposite side of the range. By default it's set to 5 because this is what delivered the best results in backtests. Stop Loss Placement: This determines where the stop loss gets placed for the order. It has been set to ORB Range by default as this delivered the best results. Max Trades Per Hour: This allows the user to decide how many trades are taken an hour. 1 is been set to default for best results Visual Settings: Check boxes to show orb range, FVG's, Entry points, and trade visualization boxes. Backtest Settings: For the backtest the commissions were set to 1.29USD per contract and .35USD for micros which is the highest amount Tradovate charges Margin was not accounted for because typically on prop accounts you can use way more contracts than you need for the extremely low max drawdown. Margin would be important on personal accounts but even there typically it's not an issue at all especially because this strategy runs on the 15min timeframe so it won't use a lot of contracts anyways. Why the source code is hidden: The source code is hidden because I invested a lot of time and money into developing this strategy and optimizing it with paid 3rd party software.
Estratégia Pine Script®
por Kuhmanderz
SMC Strategy with RSI/OB at Market PriceTakes trade using smc with rsi confirmation Buy Signal Triggers When: Scenario 1 (Immediate Touch): Price touches/enters bullish OB boundaries AND previous candle closed with RSI ≤ 35 Scenario 2 (Close Inside): Current candle closes inside bullish OB AND current RSI ≤ 35 Sell Signal Triggers When: Scenario 1 (Immediate Touch): Price touches/enters bearish OB boundaries AND previous candle closed with RSI ≥ 65 Scenario 2 (Close Inside): Current candle closes inside bearish OB AND current RSI ≥ 65
Estratégia Pine Script®
por kenrayms
TurtleTrader Intraday Extended by exp3rts🐢 TurtleTrader Intraday Extended by exp3rts A modern intraday adaptation of the classic Turtle Trading strategy, optimized for short-term breakout trading with built-in risk management, pyramiding, and optional trend filters. This strategy captures strong directional moves by entering breakouts from price channels, using ATR-based stop losses and controlled position scaling. 🔑 Key Features: 📈 Channel Breakout Entries: Buy/sell on breakout of highest highs or lowest lows 🛑 Dynamic ATR Stop Loss: Automatically calculated from market volatility 🔁 Pyramiding: Adds up to 4 positions as price moves in your favor 🔄 Directional Mode: Choose Long-only or Short-only mode 🧠 Skip After Win Option: Avoid overtrading by skipping the next entry after a profitable trade 📊 Optional EMA Display: Plot up to 3 EMAs for trend filtering or visual confirmation 📉 On-Chart ATR Label: Displays real-time ATR metrics (including ½N size used in classic Turtle rules) ⚙️ Strategy Inputs: Entry/Exit channel length ATR multiplier and period Entry delay (bar offset) Optional trade filter after profitable trades Show/hide EMAs and ATR label 🧪 Best For: Intraday breakout traders (works well on 5m–1h timeframes) Traders who prefer mechanical rules and structured risk Anyone testing volatility-based entries and exits Inspired by the original Turtle Trading system — redesigned for modern markets with more intraday flexibility and visual enhancements.
Estratégia Pine Script®
por exp3rts