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Nifty 10m Simple ORB TEST harish//@version=5 strategy("Nifty 10m Simple ORB TEST", overlay=true) // 10m timeframe check if timeframe.period != "10" runtime.error("Use this on 10 minute timeframe") // First 10m candle high/low (no PCR, no opposite logic – just test syntax) newDay = ta.change(time("D")) != 0 var float dayHigh = na var float dayLow = na if newDay dayHigh := na dayLow := na sessStart = 0915 sessEnd = 0925 hhmm = hour * 100 + minute isFirst = na(dayHigh) and hhmm >= sessStart and hhmm < sessEnd if isFirst dayHigh := high dayLow := low // Plot first candle range plot(dayHigh, "First High", color=color.green, style=plot.style_linebr) plot(dayLow, "First Low", color=color.red, style=plot.style_linebr) // Simple breakout entries just to test longCond = not na(dayHigh) and close > dayHigh shortCond = not na(dayLow) and close < dayLow if longCond strategy.entry("LONG", strategy.long) if shortCond strategy.entry("SHORT", strategy.short)
Strategi Pine Script®
oleh harrishdade
1
HARRISH DADE//@version=5 strategy("Nifty 15m ORB + 20 EMA + Volume - Signals Fixed", overlay=true, initial_capital=100000, default_qty_type=strategy.percent_of_equity, default_qty_value=25, process_orders_on_close=true) // 15-minute timeframe check if timeframe.period != "15" runtime.error("Use this strategy on 15 minute timeframe only") // ORB 9:15–9:30 High/Low var float orbHigh = na var float orbLow = na newDay = ta.change(time("D")) != 0 if newDay orbHigh := na orbLow := na sessStart = 0915 sessEnd = 0930 hhmm = hour * 100 + minute inORB = hhmm >= sessStart and hhmm < sessEnd if inORB orbHigh := na(orbHigh) ? high : math.max(orbHigh, high) orbLow := na(orbLow) ? low : math.min(orbLow, low) // Plot ORB levels plot(orbHigh, "ORB High", color=color.new(color.green, 0), linewidth=2) plot(orbLow, "ORB Low", color=color.new(color.red, 0), linewidth=2) // Trend filter - 20 EMA emaLen = input.int(20, "EMA Length", minval=1) ema20 = ta.ema(close, emaLen) upTrend = close > ema20 dnTrend = close < ema20 plot(ema20, "EMA 20", color=color.orange, linewidth=2) // Volume filter - Adaptive volLen = input.int(20, "Volume MA Length", minval=1) avgVol = ta.sma(volume, volLen) volMult = input.float(1.5, "Volume Multiplier", step=0.1) enoughVol = volume >= (avgVol * volMult) // ORB complete check orbLocked = not na(orbHigh) and not na(orbLow) and not inORB // Entry conditions (for strategy) longCond = orbLocked and ta.crossover(close, orbHigh) and upTrend and enoughVol shortCond = orbLocked and ta.crossunder(close, orbLow) and dnTrend and enoughVol // Risk Management targetPts = input.float(40.0, "Target Points", step=1.0) slPts = input.float(25.0, "Stoploss Points", step=1.0) // STRATEGY ENTRIES if longCond and strategy.position_size == 0 strategy.entry("LONG", strategy.long) if shortCond and strategy.position_size == 0 strategy.entry("SHORT", strategy.short) // STRATEGY EXITS if strategy.position_size > 0 strategy.exit("LONG EXIT", from_entry="LONG", limit=strategy.position_avg_price + targetPts, stop=strategy.position_avg_price - slPts) if strategy.position_size < 0 strategy.exit("SHORT EXIT", from_entry="SHORT", limit=strategy.position_avg_price - targetPts, stop=strategy.position_avg_price + slPts) // **FIXED BUY/SELL SIGNALS** - No barstate.isconfirmed, direct conditions plotshape(longCond, title="BUY", style=shape.triangleup, location=location.belowbar, color=color.new(color.lime, 0), size=size.large, text="BUY", textcolor=color.white) plotshape(shortCond, title="SELL", style=shape.triangledown, location=location.abovebar, color=color.new(color.red, 0), size=size.large, text="SELL", textcolor=color.white) // Debug table - shows if conditions met if barstate.islast var table debugTable = table.new(position.top_right, 2, 6, bgcolor=color.white, border_width=1) table.cell(debugTable, 0, 0, "Condition", text_color=color.black, bgcolor=color.gray) table.cell(debugTable, 1, 0, "Status", text_color=color.black, bgcolor=color.gray) table.cell(debugTable, 0, 1, "ORB Locked", text_color=color.black) table.cell(debugTable, 1, 1, str.tostring(orbLocked), text_color=orbLocked ? color.green : color.red) table.cell(debugTable, 0, 2, "UpTrend", text_color=color.black) table.cell(debugTable, 1, 2, str.tostring(upTrend), text_color=upTrend ? color.green : color.red) table.cell(debugTable, 0, 3, "Enough Vol", text_color=color.black) table.cell(debugTable, 1, 3, str.tostring(enoughVol), text_color=enoughVol ? color.green : color.red)
Strategi Pine Script®
oleh harrishdade
BTC Mon 8am Buy / Wed 2pm Sell (NY Time, Daily + Intraday)This strategy implements a fixed weekly time-based trading schedule for Bitcoin, using New York market hours as the reference clock. It is designed to test whether a consistent pattern exists between early-week accumulation and mid-week distribution in BTC price behavior. Entry Rule — Monday 8:00 AM (NY Time) The strategy enters a long position every Monday at exactly 08:00 AM Eastern Time, one hour after the U.S. equities market pre-open activity begins influencing global liquidity. This timing attempts to capture early-week directional moves in Bitcoin, which sometimes occur as traditional markets come online. Exit Rule — Wednesday 2:00 PM (NY Time) The strategy closes the position every Wednesday at 2:00 PM Eastern Time, a point in the week where: U.S. equity markets are still open BTC often experiences mid-week volatility rotations Liquidity is generally high This exit removes exposure before later-week uncertainty and gives a consistent, measurable time window for each trade. Timeframe Compatibility Works on intraday charts (recommended 1h or lower) using precise time-based triggers. Also runs on daily charts, where entries and exits occur on the Monday and Wednesday bars respectively (daily charts cannot show intraday timestamps). All timestamps are synced to America/New_York regardless of the exchange’s native timezone. Trading Frequency Exactly one trade per week, preventing overtrading and allowing comparison of weekly performance across years of historical BTC price data. Purpose of the Strategy This is not a value-based or trend-following system, but a behavioral/time-cycle analysis tool. It helps evaluate whether a repeating short-term edge exists based solely on: Weekday timing Liquidity cycles Institutional market influence BTC’s habitual early-week momentum patterns It is ideal for: Backtesting weekly BTC behavior Studying time-based edges Comparing alternative weekday/time combinations Visualizing weekly P&L structure Risk Notes This strategy does not attempt to predict price direction and should not be assumed profitable without robust backtesting. Time-based edges can appear, disappear, or invert depending on macro conditions. There is no stop loss or risk management included by default, so the strategy reflects raw timing-based performance.
Strategi Pine Script®
oleh hbayatne
Volume Momentum Strategy [MA/VWAP Cross]Deconstructing the Volume Momentum Strategy: An Analysis of MA-VWAP Cross Mechanics Introduction The "Volume Momentum Strategy " is a technical trading algorithm programmed in Pine Script v6 for the TradingView platform. At its core, the strategy is a trend-following system that utilizes the interaction between a specific Moving Average (MA) and the Volume Weighted Average Price (VWAP) to generate trade signals. While the primary execution logic relies on price crossovers, the strategy incorporates a sophisticated secondary layer of analysis using the Commodity Channel Index (CCI) and Stochastic Oscillator. Uniquely, these secondary indicators are applied to volume data rather than price, serving as a gauge for market participation and momentum intensity. The Core Engine: MA and VWAP Crossover The primary engine driving the strategy's buy and sell decisions is the crossover relationship between a user-defined Moving Average and the VWAP. 1. The Anchor (VWAP): The strategy calculates the Volume Weighted Average Price based on the HLC3 (High, Low, Close divided by 3) source. VWAP serves as the dynamic benchmark for "fair value" throughout the trading session. 2. The Trigger (Moving Average): The script allows for flexibility in defining the "fast" line, offering options such as Simple (SMA), Exponential (EMA), or Hull Moving Averages. 3. The Signal: o A Long (Buy) signal is generated when the chosen MA crosses over the VWAP. This suggests that short-term price momentum is exceeding the average volume-weighted price of the session, indicating bullish sentiment. o A Short (Sell) signal is generated when the MA crosses under the VWAP, indicating bearish pressure where price is being pushed below the session's volume-weighted average. The Role of CCI and Stochastic: Analyzing Volume Momentum The prompt specifically inquires about how the CCI and Stochastic indicators fit into this process. In standard technical analysis, these oscillators are used to identify overbought or oversold price conditions. However, this strategy repurposes them to analyze Volume Momentum. 1. The Calculation Instead of using close prices as the input source, the script passes volume data into both indicator functions: • Volume CCI: Calculated as ta.cci(volume, cciLength). This measures the deviation of current volume from its statistical average. • Volume Stochastic: Calculated as ta.stoch(volume, volume, volume, stochLength). This gauges the current volume relative to its recent range. 2. The "Volume Spike" Condition The strategy combines these two indicators to define a specific market condition labeled isVolumeSpike. A volume spike is confirmed only when both conditions are met simultaneously: • The Volume CCI must be greater than a defined threshold (default: 100). • The Volume Stochastic must be greater than a defined threshold (default: 80). 3. Integration into the Process It is critical to note how this script currently applies this "Volume Spike" logic: • Visual Confirmation: In the current version of the code, the isVolumeSpike boolean is used strictly for visual feedback. When a spike is detected, the script paints the specific price bar yellow and plots a small triangle marker below the bar. • Strategic Implication: While the code calculates these metrics, the variables long_condition and short_condition currently rely solely on the MA/VWAP crossover. The developer has left the volume logic as a visual overlay, noting in the comments that it serves as a "visual/alert" or a potential filter. • Potential Alpha: Conceptually, this setup implies that a trader should look for the MA/VWAP crossover to occur coincidentally with—or shortly after—a "Volume Spike" (yellow bar). This would confirm that the price move is backed by significant institutional participation (volume) rather than just retail noise. Risk Management and Time Constraints The strategy wraps these technical signals in a robust risk management framework. It includes hard-coded time windows (start/stop trading times) and a "Close All" function to prevent holding positions overnight. Furthermore, it employs both percentage-based and dollar-based Stop Loss and Take Profit mechanisms, ensuring that every entry—whether generated by a high-momentum crossover or a standard trend move—has a predefined exit plan. Conclusion The "Volume Momentum Strategy" is a hybrid system. It executes trades based on the reliable trend signal of MA crossing VWAP but informs the trader with advanced volume analytics. By processing volume through the CCI and Stochastic calculations, it provides a "heads-up" display regarding the intensity of market participation, allowing the trader to distinguish between low-volume drifts and high-volume breakout moves.
Strategi Pine Script®
oleh vlenarcic
Vinz Win BTC – STRATEGY AUTO 1m🚀 VinzWin BTC Strategy – BTC Scalping AUTO 1 min The VinzWin strategy is based on a simple and highly effective price action pattern: ✅ 2 red candles followed by 1 green candle ✅ Doji filter set to 0 ✅ Trading exclusively on BTC ✅ Session from 12:00 to 12:00 (24/7) ✅ Fixed Risk/Reward at 1:2 ✅ Stop Loss set in fixed € amount ✅ Automatic risk management based on the Stop Loss On every trade: The Stop Loss is defined in fixed euros, The Take Profit is always set at twice the risk, The lot size is automatically adjusted to market conditions, ensuring clean, stable, and fully controlled risk management. 📊 Multi-year backtests are available and show truly outstanding results, with strong consistency and an excellent profit/loss ratio. 👉 A simple, mechanical strategy with no over-optimization, perfectly suited for BTC scalping with fully controlled capital management in euros.
Strategi Pine Script®
oleh Vincent-Aina
inyerneck Quiet Bottom Hunter v1.5 — VERIFIED SIGNALSQuiet Bottom Hunter v1.5 — 85%+ Rebound Setup Designed for new traders who want the highest-probability, lowest-stress small-cap entries. Triggers only when ALL of these line up: • –20% to –80% from 90-day high (slow bleed, not crash) • Volume ≤80% of 50-day average (dry, no panic selling left) • RSI(14) ≤35 (deep oversold) • 2+ consecutive green or flat days at the low (quiet bottom confirmed) Fires roughly 1–3 times per month on most small caps (<$2B). Backtested 2024–2025: 85% win rate, avg +32% rebound, max DD ~11%. Tiny green “QB” arrow = entry signal. Use 10–20% position size. Works best on daily charts. Public script — code visible. use on 1 day or 4 hr chart. mid term swings, NOT day trades No spam. No chasing. Just big, calm rebounds.
Strategi Pine Script®
oleh oogabooger
AB=CD Fibonacci Strategy (One Trade at a Time) AB=CD Fibonacci Strategy - Harmonic Pattern Trading Bot Description An automated trading strategy that identifies and trades the classic AB=CD harmonic pattern, one of the most reliable geometric price formations in technical analysis. This strategy detects perfectly proportioned Fibonacci retracement setups and executes trades with precise risk-reward management. How It Works The indicator scans for the AB=CD pattern structure: Leg AB: Initial swing from pivot point A to pivot point B Leg BC: Retracement to point C (customizable Fibonacci levels) Leg CD: Mirror projection equal to the AB leg length When price touches point D, the strategy automatically enters a position with predefined take-profit and stop-loss levels based on your risk-reward ratio. Key Features One Trade at a Time: Ensures disciplined position management by allowing only one active trade per pattern Customizable Fibonacci Retracement: Set your preferred retracement range for point C (default 50% - 78.6%) Risk-Reward Control: Adjust stop-loss and take-profit multiples to match your trading plan Visual Pattern Display: Clear labeling of A, B, C, D points with pattern lines for easy identification Both Directions: Identifies bullish and bearish AB=CD patterns automatically Ideal For Swing traders on higher timeframes (4H, Daily, Weekly) Harmonic pattern traders seeking automation Traders wanting precise entry and exit rules based on Fibonacci geometry Those looking to reduce emotional trading and increase consistency Default Settings Optimized For NASDAQ futures and currency pairs Medium timeframe analysis Conservative risk management (10% position size per trade)
Strategi Pine Script®
oleh julioperez75955
Trendshift [CHE] StrategyTrendshift Strategy — First-Shift Structural Regime Trading Profitfactor 2,603 Summary Trendshift Strategy implements a structural regime-shift trading model built around the earliest confirmed change in directional structure. It identifies major swing highs and lows, validates breakouts through optional ATR-based conviction, and reacts only to the first confirmed shift in each direction. After a regime reversal, the strategy constructs a premium and discount band between the breakout candle and the previous opposite swing. This band is used as contextual bias and may optionally inform stop placement and position sizing. The strategy focuses on clear, interpretable structural events rather than continuous signal generation. By limiting entries to the first valid shift, it reduces false recycles and allows the structural state to stabilize before a new trade occurs. All signals operate on closed-bar logic, and the strategy avoids higher-timeframe calls to stabilize execution behavior. Motivation: Why this design? Many structure-based systems repeatedly trigger as price fluctuates around prior highs and lows. This often leads to multiple flips during volatile or choppy conditions. Trendshift Strategy addresses this problem by restricting execution to the first confirmed structural event in each direction. ATR-based filters help differentiate genuine structural breaks from noise, while the contextual band ensures that the breakout is meaningful in relation to recent volatility. The design aims to represent a minimalistic structural trading framework focused on regime turns rather than continuous trend signaling. This reduces chart noise and clarifies where the market transitions from one regime to another. What’s different vs. standard approaches? Baseline reference Typical swing-based structure indicators report every break above or below recent swing points. Architecture differences First-shift-only regime logic that blocks repeated signals until direction reverses ATR-filtered validation to avoid weak or momentum-less breaks Premium and discount bands derived from breakout structure Optional band-driven stop placement Optional band-dependent position-sizing factor Regime timeout system to neutralize structure after extended inactivity Persistent-state architecture to prevent re-triggering Practical effect Only the earliest actionable structure change is traded Fewer but higher-quality signals Premium/discount tint assists contextual evaluation Stops and sizing can be aligned with structural context rather than arbitrary volatility measures Improved chart interpretability due to reduced marker frequency How it works (technical) The algorithm evaluates symmetric swing points using a fixed bar window. When a swing forms, its value and bar index are stored as persistent state. A structural shift occurs when price closes beyond the most recent major swing on the opposite side. If ATR filtering is enabled, the breakout must exceed a volatility-scaled distance to prevent micro-breaks from firing. Once a valid shift is confirmed, the regime is updated to bullish or bearish. The script records the breakout level, the opposite swing, and derives a band between them. This band is checked for minimum size relative to ATR to avoid unrealistic contexts. The first shift in a new direction generates both the strategy entry and a visual marker. Additional shifts in the same direction are suppressed until a reversal occurs. If a timeout is enabled, the regime resets after a specified number of bars without structural change, optionally clearing the band. Stop placement, if enabled, uses either the opposite or same band edge depending on configuration. Position size is computed from account percentage and may optionally scale with the price-span-to-ATR relationship. Parameter Guide Market Structure Swing length (default 5): Controls swing sensitivity. Lower values increase responsiveness. Use ATR filter (default true): Requires breakouts to show momentum relative to ATR. Reduces false shifts. ATR length (default 14): Volatility estimation for breakout and band validation. Break ATR multiplier (default 1.0): Required breakout strength relative to ATR. Premium/Discount Framework Enable framework (default true): Activates premium/discount evaluation. Persist band on timeout (default true): Keeps structural band after timeout. Min band ATR mult (default 0.5): Rejects narrow bands. Regime timeout bars (default 500): Neutralizes regime after inactivity. Invert colors (default false): Color scheme toggle. Visuals Show zone tint (default true): Background shade in premium or discount region. Show shift markers (default true): Display first-shift markers. Execution and Risk Risk per trade percent (default 1.0): Determines position size as account percentage. Use band for size (default false): Scales size relative to band width behavior. Flat on opposite shift (default true): Forces reversal behavior. Use stop at band (default false): Stop anchored to band edges. Stop band side: Chooses which band edge is used for stop generation. Reading & Interpretation A green background indicates discount conditions within the structural band; red indicates premium conditions. A green triangle below price marks the first bullish structural shift after a bearish regime. A red triangle above price marks the first bearish structural shift after a bullish regime. When stops are active, the opposite band edge typically defines the protective level. Band width relative to ATR indicates how significant a structural change is: wider bands imply stronger volatility structure, while narrow bands may be suppressed by the minimum-size filter. Practical Workflows & Combinations Trend following: Use first-shift entries as initial regime confirmation. Add higher-timeframe trend filters for additional context. Swing trading: Combine with simple liquidity or fair-value-gap concepts to refine entries. Bias mapping: Use higher timeframes for structural regime and lower timeframes for execution within the premium/discount context. Exit management: When using stops, consider ATR-scaling or multi-stage profit targets. When not using stops, reversals become the primary exit. Behavior, Constraints & Performance The strategy uses only confirmed swings and closed-bar logic, avoiding intrabar repaint. Pivot-based swings inherently appear after the pivot window completes, which is standard behavior. No higher-timeframe calls are used, preventing HTF-related repaint issues. Persistent variables track regime and structural levels, minimizing recomputation. The maximum bars back setting is five-thousand. The design avoids loops and arrays, keeping performance stable. Known limitations include limited signal density during consolidations, delayed swing confirmation, and sensitivity to extreme gaps that stretch band logic. ATR filtering mitigates some of these effects but does not eliminate them entirely. Sensible Defaults & Quick Tuning Fewer but stronger entries: Increase swing length or ATR breakout multiplier. More responsive entries: Reduce swing length to capture earlier shifts. More active band behavior: Lower the minimum band ATR threshold. Stricter stop logic: Use the opposite band edge for stop placement. Volatile markets: Increase ATR length slightly to stabilize behavior. What this indicator is—and isn’t Trendshift Strategy is a structural-regime trading engine that evaluates major directional shifts. It is not a complete trading system and does not include take-profit logic or prediction features. It does not attempt to forecast future price movement and should be used alongside broader market structure, volatility context, and disciplined risk management. Disclaimer The content provided, including all code and materials, is strictly for educational and informational purposes only. It is not intended as, and should not be interpreted as, financial advice, a recommendation to buy or sell any financial instrument, or an offer of any financial product or service. All strategies, tools, and examples discussed are provided for illustrative purposes to demonstrate coding techniques and the functionality of Pine Script within a trading context. Any results from strategies or tools provided are hypothetical, and past performance is not indicative of future results. Trading and investing involve high risk, including the potential loss of principal, and may not be suitable for all individuals. Before making any trading decisions, please consult with a qualified financial professional to understand the risks involved. By using this script, you acknowledge and agree that any trading decisions are made solely at your discretion and risk. Do not use this indicator on Heikin-Ashi, Renko, Kagi, Point-and-Figure, or Range charts, as these chart types can produce unrealistic results for signal markers and alerts. Best regards and happy trading Chervolino
Strategi Pine Script®
oleh chervolino
inyerneck Diaper Sniper v16 — LOW VOL V CATCHERDiaper Sniper v16 — Low-Vol Reversal Hunter Catches dead-cat bounces and V-shaped reversals on the day’s biggest losers. Designed for pennies and trash stocks that drop 6 %+ from recent high and snap back on any volume + green candle. Features: • Tiny green “D” = reversal signal • Works on 1m → daily • Fully adjustable filters Best on low-float runners that bleed hard and bounce harder. Use tiny size — it fires a lot. Public version — code visible. No invite-only on Essential plan. do not alter settings with out first recording defaults.. defaults are quite effective 2025 build. Test at your own risk.
Strategi Pine Script®
oleh oogabooger
Best Entry Swing MASTER v3 PUBLIC (S.S)Strategy Description (English) Best Entry Swing MASTER v3 – Quality Mode The Best Entry Swing MASTER v3 is a structured swing trading and trend-following strategy designed to identify high-probability long and short entries during directional markets. It combines three core setup types commonly used by momentum and breakout traders: Breakout (BO) Pullback Reversal (PB) Volatility Contraction Pattern (VCP) The strategy applies multiple layers of confirmation, including multi-EMA trend structure, volatility contraction, volume filters, and an optional market regime filter. It is suitable for swing trading on higher timeframes (4H, Daily), as well as medium-term trend continuation setups. Core Concepts 1. Trend Structure A trend is considered valid when: Uptrend: Price > EMA20 > EMA50 > EMA100 Downtrend: Price < EMA20 < EMA50 < EMA100 In addition, a simple but effective trend-strength metric is calculated using the percentage spread between EMA20 and EMA100. This helps avoid signals during sideways or low-volatility environments. 2. Market Regime Filter The market environment is determined using a higher timeframe benchmark (default: SPY on Daily). Only long trades are allowed in bullish market conditions Only short trades in bearish conditions This significantly reduces false signals in counter-trend conditions. Entry Logic Breakout (BO) A long breakout triggers when: Price closes above the highest high of the lookback period Volume exceeds its 20-period average Trend and market regime confirm (Optional A+ mode): true volatility contraction is required Similar logic applies for short breakdowns. Pullback (PB) A pullback entry triggers after: At least two corrective candles A strong reversal candle (close above previous high for long) Volume confirmation Price interacts with EMA20 This structure models classical trend-reentry conditions. Volatility Contraction Pattern (VCP) A VCP entry triggers when: True range contracts over multiple bars Price holds near the breakout zone Volume contracts Trend and market regime are aligned This setup aims to capture explosive continuation moves. Quality Modes The strategy offers two modes: Balanced Mode Moderate signal frequency Broader trend-strength allowance Suitable for more active traders A+ Only Mode Strict confirmation requirements Only high-quality setups with multiple confluences Designed to avoid low-probability trades entirely Risk Management Risk is managed using an ATR-based stop and target: Long SL = Close − ATR × 1.5 Long TP = Close + ATR × 3 (Equivalent logic for short positions) This provides a balanced reward-to-risk profile and avoids overly tight stops. Early Entry Signals (Optional) The script offers optional “Early Entry” markers that highlight when a setup is forming but not yet confirmed. These are not entry signals and are disabled by default for public use. Intended Use This strategy is designed for: Swing trading Momentum continuation Trend-following Multi-day to multi-week trades It performs best on: 4H Daily High-liquidity equities, indices, and futures Disclaimer This script is intended for educational and research purposes. Past performance does not guarantee future results. Always backtest thoroughly and use appropriate risk management.
Strategi Pine Script®
oleh Soeren24
GOLD EMA Crossover Strategy This EMA Crossover Strategy is designed for intraday trading on the 5-minute chart. It uses three EMAs (fast, mid, slow) to identify momentum shifts and trigger long or short entries. Risk management is dollar-based, with default settings of $100 risk per trade and $300 profit target. Entries are taken when the fast EMA crosses above/below the mid or slow EMA, with stops and targets calculated dynamically. The strategy runs across all hours and uses fixed position sizing (default 3 contracts). It is intended as a framework for traders to adapt and optimize to their own instruments and risk preferences.
Strategi Pine Script®
oleh crtaylor55
Mustang Algo - Momentum Trend Zone Backtest🐎 MUSTANG ALGO - Momentum Trend Zone Strategy A complete trading system combining MACD momentum analysis with visual trend zones, full backtesting capabilities, and advanced risk management tools. ══════════════════════════════════════════════════════════════════════════ 🔹 OVERVIEW Mustang Algo transforms traditional MACD analysis into a powerful visual trading system. It instantly identifies market bias through colored background zones and provides clear entry/exit signals with customizable stop loss and take profit management. ══════════════════════════════════════════════════════════════════════════ 🔹 KEY FEATURES ✅ Visual Trend Zones (Green = Bullish | Red = Bearish) ✅ Clear Buy/Sell Triangles on Chart ✅ Full Backtesting Engine ✅ Multiple Stop Loss Types ✅ Multiple Take Profit Types ✅ Trailing Stop Option ✅ Time Filter for Backtesting ✅ Real-time Info Panel ✅ Customizable Alerts ══════════════════════════════════════════════════════════════════════════ 🔹 HOW IT WORKS The strategy uses a smoothed MACD system to detect trend changes: - MACD Line (White): Fast EMA minus Slow EMA - shows raw momentum - Signal Line (Yellow): EMA of MACD - shows smoothed trend direction - Trend Zone: Changes when the smoothed signal line crosses zero - Entry Signals: Generated at zone transitions When the trend line crosses above zero → GREEN zone → BUY signal 🔺 When the trend line crosses below zero → RED zone → SELL signal 🔻 ══════════════════════════════════════════════════════════════════════════ 🔹 STOP LOSS OPTIONS 🛑 Percentage: Fixed percentage from entry price 🛑 ATR-Based: Dynamic SL based on market volatility 🛑 Fixed Points: Set number of points/pips 🛑 Swing Low/High: Uses recent swing levels as stops ══════════════════════════════════════════════════════════════════════════ 🔹 TAKE PROFIT OPTIONS 🎯 Percentage: Fixed percentage target 🎯 ATR-Based: Dynamic TP based on volatility 🎯 Fixed Points: Set number of points/pips 🎯 Risk Reward: Automatic TP based on R:R ratio (e.g., 2:1, 3:1) ══════════════════════════════════════════════════════════════════════════ 🔹 TRAILING STOP 📈 Percentage-Based: Trail by a fixed percentage 📈 ATR-Based: Trail using ATR multiplier for dynamic adjustment ══════════════════════════════════════════════════════════════════════════ 🔹 SETTINGS MACD Parameters: - Fast Length (default: 12) - Slow Length (default: 26) - Signal Length (default: 9) - Trend Smoothing (default: 5) Risk Management: - Enable/Disable Stop Loss - Enable/Disable Take Profit - Enable/Disable Trailing Stop - Customize all SL/TP parameters Visual Options: - Show/Hide Buy/Sell Triangles - Show/Hide SL/TP Lines - Show/Hide Labels Time Filter: - Set Start Date for backtest - Set End Date for backtest ══════════════════════════════════════════════════════════════════════════ 🔹 SIGNALS EXPLAINED 🟢 GREEN TRIANGLE (Below Bar): Bullish zone detected - Consider LONG entry 🔴 RED TRIANGLE (Above Bar): Bearish zone detected - Consider SHORT entry 🟢 GREEN BACKGROUND: Currently in bullish trend zone 🔴 RED BACKGROUND: Currently in bearish trend zone ══════════════════════════════════════════════════════════════════════════ 🔹 INFO PANEL The real-time info panel (top right) displays: - Current Trend Zone status - MACD value - Signal Line value - Active SL Type - Active TP Type ══════════════════════════════════════════════════════════════════════════ 🔹 ALERTS Set up alerts for: 🔔 Buy Signals: "🐎 Mustang Algo: BUY Signal on {ticker} at {price}" 🔔 Sell Signals: "🐎 Mustang Algo: SELL Signal on {ticker} at {price}" ══════════════════════════════════════════════════════════════════════════ 🔹 BEST PRACTICES 1. Use higher timeframes (1H, 4H, Daily) for more reliable signals 2. Combine with price action and support/resistance levels 3. Adjust ATR multipliers based on asset volatility 4. Use Risk Reward ratio for consistent risk management 5. Backtest on your preferred asset before live trading ══════════════════════════════════════════════════════════════════════════ 🔹 RECOMMENDED TIMEFRAMES ⏱️ Scalping: 5M, 15M (more signals, more noise) ⏱️ Day Trading: 1H, 4H (balanced signals) ⏱️ Swing Trading: Daily, Weekly (fewer but stronger signals) ══════════════════════════════════════════════════════════════════════════ 🔹 MARKETS Works on all markets: 📈 Forex 📈 Crypto 📈 Stocks 📈 Indices 📈 Commodities 📈 Futures ══════════════════════════════════════════════════════════════════════════ 🐎 RIDE THE TREND WITH MUSTANG ALGO! ══════════════════════════════════════════════════════════════════════════ ⚠️ DISCLAIMER This indicator/strategy is for educational and informational purposes only. It is not financial advice. Trading involves substantial risk of loss and is not suitable for all investors. Past performance is not indicative of future results. Always use proper risk management, do your own research, and consider consulting a financial advisor before making any trading decisions. Use at your own risk. ══════════════════════════════════════════════════════════════════════════ 📝 VERSION HISTORY v1.0 - Initial Release - MACD-based trend detection - Visual trend zones - Multiple SL/TP options - Full backtesting support - Trailing stop functionality - Time filter - Info panel - Alert system ══════════════════════════════════════════════════════════════════════════ 💬 FEEDBACK If you find this strategy useful, please leave a comment or suggestion! Your feedback helps improve future updates. 🐎 Happy Trading!
Strategi Pine Script®
oleh MustangAlgo
EMA 12-26-100 Momentum Strategy# Triple EMA Multi-Signal Momentum Strategy ## 📊 Overview **Triple EMA Multi-Signal** is a comprehensive trend-following momentum strategy designed specifically for cryptocurrency markets. It combines multiple technical indicators and signal types to identify high-probability trading opportunities while maintaining strict risk management protocols. The strategy excels in trending markets and uses adaptive position sizing with trailing stops to maximize profits during strong trends while protecting capital during choppy conditions. ## 🎯 Core Algorithm ### Triple EMA System The strategy employs a three-layer EMA system to identify trend direction and strength: - **Fast EMA (12)**: Quick response to price changes - **Slow EMA (26)**: Confirmation of trend direction - **Trend EMA (100)**: Overall market bias filter Trades are only taken when all three EMAs align in the same direction, ensuring we trade with the dominant trend. ### Multi-Signal Confirmation (8 Signal Types) The strategy requires at least 1-2 confirmed signals from multiple independent sources before entering a position: 1. **EMA Crossover** - Fast EMA crossing Slow EMA (primary signal) 2. **MACD Cross** - MACD line crossing signal line (momentum confirmation) 3. **RSI Reversal** - RSI bouncing from oversold/overbought zones 4. **Price Action** - Strong bullish/bearish candles (>60% of range) 5. **Volume Spike** - Above-average volume confirmation 6. **Breakout** - Price breaking 20-period high/low with volume 7. **Pullback to EMA** - Trend continuation after healthy retracement 8. **Bollinger Bounce** - Price bouncing from BB bands This multi-signal approach significantly reduces false signals and improves win rate. ## 💰 Risk Management ### Position Sizing - Default: 20-25% of equity per trade - Adjustable based on risk tolerance - Smaller positions recommended for leveraged trading ### Stop Loss & Take Profit - **Stop Loss**: 2.0% (tight control of risk) - **Take Profit**: 5.5% (2.75:1 reward-to-risk ratio) - Both levels are fixed at entry to avoid emotional decisions ### Trailing Stop System - Activates after 1.8% profit - Trails at 1.3% below current price - Locks in profits during extended trends - Automatically adjusts as price moves in your favor ### Maximum Hold Time - 36-48 hours maximum (configurable) - Designed to minimize funding rate costs on futures - Forces position closure to avoid excessive exposure - Helps maintain capital velocity ## 📈 Key Features ### Trend Filters - **ADX Filter**: Ensures sufficient trend strength (threshold: 20) - **EMA Alignment**: All three EMAs must confirm trend direction - **RSI Boundaries**: Avoids extreme overbought/oversold entries ### Volume Analysis - Volume must exceed 20-period moving average - Configurable multiplier (default: 1.0x) - Helps identify institutional participation ### Automatic Exit Conditions 1. Take Profit target reached 2. Stop Loss triggered 3. Trailing stop activated 4. Trend reversal (EMA cross in opposite direction) 5. Maximum hold time exceeded ## 🎮 Recommended Settings ### For Spot Trading (Conservative) ``` Position Size: 15-20% Stop Loss: 2.5% Take Profit: 6.0% Max Hold: 72 hours Leverage: 1x ``` ### For Futures 3-5x Leverage (Balanced) ``` Position Size: 12-15% Stop Loss: 2.0% Take Profit: 5.5% Max Hold: 36 hours Trailing: Active ``` ### For Aggressive Trading 5-10x (High Risk) ``` Position Size: 8-12% Stop Loss: 1.5% Take Profit: 4.5% Max Hold: 24 hours ADX Filter: Disabled ``` ## 📊 Performance Metrics ### Backtested Results (BTC/USDT 1H, 2 years) - **Total Return**: ~19% (spot) / ~75% (5x leverage)* - **Total Trades**: 240-300 - **Win Rate**: 49-52% - **Profit Factor**: 1.25-1.50 - **Max Drawdown**: ~18-22% - **Average Trade**: 0.5-3 days *Leverage results exclude funding rates and real-world slippage ### Optimal Timeframes - **1 Hour**: Best for active trading (recommended) - **4 Hour**: More stable, fewer signals - **15 Min**: High frequency (requires monitoring) ### Best Performing Assets - BTC/USDT (most tested) - ETH/USDT - Major altcoins with good liquidity - Not recommended for low-cap or illiquid pairs ## ⚙️ How to Use 1. **Add to Chart**: Apply strategy to 1H BTC/USDT chart 2. **Adjust Settings**: Configure risk parameters based on your preference 3. **Review Signals**: Green = Long, Red = Short, labels show signal count 4. **Monitor Performance**: Check strategy tester for detailed statistics 5. **Optimize**: Use strategy optimization to find best parameters for your market ## 🎨 Visual Indicators The strategy provides clear visual feedback: - **EMA Lines**: Blue (Fast), Red (Slow), Orange (Trend) - **BUY/SELL Labels**: Show entry points with signal count - **Stop/Target Lines**: Red (SL), Green (TP) displayed during active trades - **Background Color**: Light green (long), light red (short) when in position - **Info Panel**: Shows current trend, RSI, ADX, and volume status ## ⚠️ Important Notes ### Risk Disclaimer - This strategy is for educational purposes only - Past performance does not guarantee future results - Cryptocurrency trading involves substantial risk - Only trade with capital you can afford to lose - Always use proper position sizing and risk management ### Limitations - Performs poorly in sideways/choppy markets - Requires sufficient liquidity for best execution - Backtests do not include: - Real-world slippage (especially during volatility) - Funding rates (for perpetual futures) - Exchange downtime or connection issues - Emotional trading decisions ### For Futures Trading If using this strategy on futures with leverage: - Reduce position size proportionally to leverage - Account for funding rates (~0.01% per 8h) - Set max hold time to minimize funding costs - Use lower leverage (3-5x max recommended) - Monitor liquidation price carefully ## 🔧 Customization All parameters are fully customizable: - EMA periods (fast/slow/trend) - MACD settings (12/26/9) - RSI levels (30/70) - Stop Loss / Take Profit percentages - Trailing stop activation and offset - Volume multiplier - ADX threshold - Maximum hold time ## 📚 Strategy Logic The strategy follows this decision tree: ``` 1. Check Trend Direction (EMA alignment) ↓ 2. Scan for Entry Signals (8 types) ↓ 3. Confirm with Filters (ADX, Volume, RSI) ↓ 4. Enter Position with Fixed SL/TP ↓ 5. Monitor for Exit Conditions: - TP Hit → Close with profit - SL Hit → Close with loss - Trailing Active → Follow price - Trend Reversal → Close position - Max Time → Force close ``` ## 🎓 Best Practices 1. **Start Conservative**: Use smaller position sizes initially 2. **Track Performance**: Monitor actual vs backtested results 3. **Optimize Regularly**: Market conditions change, adapt parameters 4. **Combine with Analysis**: Don't rely solely on automated signals 5. **Manage Emotions**: Stick to the system, avoid manual overrides 6. **Paper Trade First**: Test on demo before risking real capital ## 📞 Support & Updates This strategy is actively maintained and updated based on: - Market condition changes - User feedback and suggestions - Performance optimization - Bug fixes and improvements ## 🏆 Conclusion Triple EMA Multi-Signal Strategy offers a robust, systematic approach to cryptocurrency trading by combining trend following, momentum indicators, and strict risk management. Its multi-signal confirmation system helps filter false signals while the trailing stop mechanism captures extended trends. The strategy is suitable for both manual traders looking for high-probability setups and algorithmic traders seeking a proven systematic approach. **Remember**: No strategy wins 100% of the time. Success comes from consistent application, proper risk management, and continuous adaptation to changing market conditions. --- *Version: 1.0* *Last Updated: November 2025* *Tested on: BTC/USDT, ETH/USDT (1H, 4H timeframes)* *Recommended Capital: $5,000+ for optimal position sizing*
Strategi Pine Script®
oleh RomanEnlil
A+ Setup Strategy Trendline Features Added: 1. Automatic Trendline Detection Support Trendline (green) - Connects swing lows Resistance Trendline (red) - Connects swing highs Uses pivot points to identify key swing levels Validates trendlines by counting touches (minimum 3 touches required) 2. Trendline Settings Show Trendlines - Toggle on/off Lookback Period - How far back to look for pivots (default: 50 bars) Min Touches - How many touches needed for valid trendline (default: 3) 3. Trendline Break Detection Bullish Break - Price breaks above support trendline (marked with small green circle) Bearish Break - Price breaks below resistance trendline (marked with small red circle) Generates signals when breaks occur 4. Enhanced A+ Setups Now includes ULTRA setups - the absolute best trades: ULTRA BUY Setup (Aqua label): Bullish FVG + BOS + Volume Spike + Uptrend PLUS: Support trendline break OR near key support PLUS: Trendline breakout confirmation ULTRA SELL Setup (Fuchsia label): Bearish FVG + BOS + Volume Spike + Downtrend PLUS: Resistance trendline break OR near key resistance PLUS: Trendline breakdown confirmation 5. Confluence Integration The strategy now considers price near trendlines as additional confluence, similar to how it uses daily S/R levels. 6. Additional Alerts Support Trendline Break Resistance Trendline Break ULTRA BUY/SELL Setup alerts This gives you multiple tiers of signal quality: Standard A+ Setup - All conditions met ULTRA A+ Setup - All conditions + trendline break (highest probability) The trendlines will help you identify major trend reversals and breakouts for even better entry timing!
Strategi Pine Script®
oleh traekiw