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Super Optimized SMA 20/200 Strategy - Long & Short_grok### Description of the SMA 20/200 Trading Strategy with Proposed Optimizations The "Super Optimized SMA 20/200 Strategy - Long & Short" is a technical trading strategy designed for TradingView, leveraging two Simple Moving Averages (SMA) — a 20-period SMA for short-term trend detection and a 200-period SMA for long-term support/resistance — to identify entry and exit points for both long and short positions. Originally inspired by Emmanuel Malyarovich's minimalist approach, the strategy has been enhanced with optimizations to improve profitability, reduce risk, and adapt to volatile markets like cryptocurrencies (e.g., XRPUSD). Below is a detailed description of the base strategy and the proposed optimizations. #### **Base Strategy Overview** - **Indicators Used**: - **20 SMA**: Tracks short-term trends and serves as a dynamic support/resistance level for bounce entries. - **200 SMA**: Acts as a long-term support (for long entries) or resistance (for short entries). - **Entry Logic**: - **Long Entry**: Triggered when the price bounces off the 20 SMA in an uptrend (20 SMA sloping upward over the last 3 bars), with the low touching or slightly below the 20 SMA and the close above it. The price must also be above the 200 SMA for confirmation. - **Short Entry**: Triggered when the price rebounds off the 20 SMA in a downtrend (20 SMA sloping downward), with the high touching or slightly above the 20 SMA and the close below it. The price must be below the 200 SMA. - **Exit Logic**: - Default settings include a 2% take profit (TP) and 1% stop loss (SL) for both long and short positions. - A trailing stop with a 0.1% offset can be activated to lock in profits during strong trends. - **Visuals and Alerts**: The strategy plots 20 SMA (blue) and 200 SMA (red) on the chart, with green triangles for long entries and red triangles for short entries. Alerts notify users of entry signals with price details. - **Initial Settings**: Starts with $10,000 capital, using 10% of equity per trade. #### **Proposed Optimizations** To address the observed 2% profitability (improved to 112% with trailing stop) and align with your feedback (e.g., 1H outperforming 4H, tolerance at 0.1% working well), the following enhancements have been integrated into the strategy: 1. **Flexible Take Profit and Trailing Stop**: - Added a `useTakeProfit` boolean (default true) to toggle TP. If set to false, only the trailing stop (0.1% offset) is used, allowing unlimited profit capture in strong trends. This addresses your request to disable TP, potentially boosting profitability in bull/bear runs while increasing drawdown risk. - **Recommendation**: Test with TP off on 1H for XRPUSD to confirm 112% holds; adjust offset to 0.2% if drawdown exceeds 20%. 2. **Dynamic Stop Loss with ATR**: - Replaced fixed 1% SL with a dynamic SL based on ATR(14) * 1.5, calculated as `close * (1 - (ATR * multiplier / close))` for long and the inverse for short. Inputs `atrLength` (14) and `atrMultiplier` (1.5) are adjustable. - **Benefit**: Adapts to market volatility, reducing premature exits in choppy conditions. Test with multiplier 1-2 to balance risk/reward. - **Note**: A `useAtrStop` toggle (default true) allows reverting to fixed SL if needed. 3. **Tolerance for Pullback Adjustment**: - Set to 0.1% (your successful tweak), allowing precise bounce detection. The strategy checks if the low is within ±0.1% of 20 SMA, with the close crossing above for long or below for short. - **Optimization**: If trades are too few, increase to 0.3-0.5% to capture more opportunities, as seen in your original script’s 0.5% tolerance. 4. **RSI Filter**: - Integrated RSI(14) with configurable `rsiOverbought` (default 70) and `rsiOversold` (default 30). Long entries require RSI > oversoldLevel, and short entries require RSI < overboughtLevel. - **Benefit**: Filters out overbought/oversold conditions, improving signal quality. Test with neutral levels (50) for broader entries, potentially adding 10-20% to profitability. 5. **Market Sideways Filter**: - Added a `sma20_flat` condition, checking if the 20 SMA variation over the last 5 bars (`flatCheckBars`) is below a `flatTolerance` (0.001). If true, entries are blocked. - **Benefit**: Reduces false signals in range-bound markets, lowering drawdown. Adjust `flatCheckBars` to 3-7 based on volatility. 6. **Time/Day Filter**: - Restricts trading to active hours (default 8:00-20:00 UTC, adjustable with `startHour` and `endHour`) and excludes weekends (Saturday/Sunday). - **Benefit**: Focuses on high-volume periods in crypto, improving winning rate. Adjust hours to 9:00-17:00 UTC if testing on BTCUSD/ETHUSD. 7. **Volume Filter**: - Retained from your script, with `minVolume` (default 0, disabled) to filter low-liquidity trades. - **Optimization**: Set to a symbol-specific minimum (e.g., 10,000 for XRPUSD) to avoid slippage. #### **Implementation Details** - The strategy uses `strategy.entry` and `strategy.exit` with conditional logic for TP, SL, and trailing stops. Visuals (triangles) and alerts remain for manual oversight. - Inputs are fully customizable, allowing backtesting to fine-tune parameters. #### **Testing Recommendations** - **Timeframe**: Stick to 1H for XRPUSD, as 4H underperformed. Test 2H or Daily on BTCUSD/ETHUSD for stability. - **Symbols**: Beyond XRPUSD, try BTCUSD (stable) or ETHUSD (volatile but liquid) to diversify gains. - **Backtesting**: Run on the last 2 years (Oct 2023-Oct 2025), with 70% for optimization and 30% for out-of-sample testing. Include 0.1% commissions and 0.05% slippage. - **Metrics to Watch**: Aim for profit >6%, drawdown <30%, and winning rate >50%. If 112% persists, validate with live demo trading. #### **Next Steps** This optimized strategy balances your successful tweaks (0.1% tolerance, trailing stop) with robust filters (RSI, sideways, time). Test on TradingView, adjust inputs based on results, and report back with drawdown or trade count for further tuning!
Chiến lược Pine Script®
của MihaiMl
1
TriAnchor Elastic Reversion US Market SPY and QQQ adaptedSummary in one paragraph Mean-reversion strategy for liquid ETFs, index futures, large-cap equities, and major crypto on intraday to daily timeframes. It waits for three anchored VWAP stretches to become statistically extreme, aligns with bar-shape and breadth, and fades the move. Originality comes from fusing daily, weekly, and monthly AVWAP distances into a single ATR-normalized energy percentile, then gating with a robust Z-score and a session-safe gap filter. Scope and intent • Markets: SPY QQQ IWM NDX large caps liquid futures liquid crypto • Timeframes: 5 min to 1 day • Default demo: SPY on 60 min • Purpose: fade stretched moves only when multi-anchor context and breadth agree • Limits: strategy uses standard candles for signals and orders only Originality and usefulness • Unique fusion: tri-anchor AVWAP energy percentile plus robust Z of close plus shape-in-range gate plus breadth Z of SPY QQQ IWM • Failure mode addressed: chasing extended moves and fading during index-wide thrusts • Testability: each component is an input and visible in orders list via L and S tags • Portable yardstick: distances are ATR-normalized so thresholds transfer across symbols • Open source: method and implementation are disclosed for community review Method overview in plain language Base measures • Range basis: ATR(length = atr_len) as the normalization unit • Return basis: not used directly; we use rank statistics for stability Components • Tri-Anchor Energy: squared distances of price from daily, weekly, monthly AVWAPs, each divided by ATR, then summed and ranked to a percentile over base_len • Robust Z of Close: median and MAD based Z to avoid outliers • Shape Gate: position of close inside bar range to require capitulation for longs and exhaustion for shorts • Breadth Gate: average robust Z of SPY QQQ IWM to avoid fading when the tape is one-sided • Gap Shock: skip signals after large session gaps Fusion rule • All required gates must be true: Energy ≥ energy_trig_prc, |Robust Z| ≥ z_trig, Shape satisfied, Breadth confirmed, Gap filter clear Signal rule • Long: energy extreme, Z negative beyond threshold, close near bar low, breadth Z ≤ −breadth_z_ok • Short: energy extreme, Z positive beyond threshold, close near bar high, breadth Z ≥ +breadth_z_ok What you will see on the chart • Standard strategy arrows for entries and exits • Optional short-side brackets: ATR stop and ATR take profit if enabled Inputs with guidance Setup • Base length: window for percentile ranks and medians. Typical 40 to 80. Longer smooths, shorter reacts. • ATR length: normalization unit. Typical 10 to 20. Higher reduces noise. • VWAP band stdev: volatility bands for anchors. Typical 2.0 to 4.0. • Robust Z window: 40 to 100. Larger for stability. • Robust Z entry magnitude: 1.2 to 2.2. Higher means stronger extremes only. • Energy percentile trigger: 90 to 99.5. Higher limits signals to rare stretches. • Bar close in range gate long: 0.05 to 0.25. Larger requires deeper capitulation for longs. Regime and Breadth • Use breadth gate: on when trading indices or broad ETFs. • Breadth Z confirm magnitude: 0.8 to 1.8. Higher avoids fighting thrusts. • Gap shock percent: 1.0 to 5.0. Larger allows more gaps to trade. Risk — Short only • Enable short SL TP: on to bracket shorts. • Short ATR stop mult: 1.0 to 3.0. • Short ATR take profit mult: 1.0 to 6.0. Properties visible in this publication • Initial capital: 25000USD • Default order size: Percent of total equity 3% • Pyramiding: 0 • Commission: 0.03 percent • Slippage: 5 ticks • Process orders on close: OFF • Bar magnifier: OFF • Recalculate after order is filled: OFF • Calc on every tick: OFF • request.security lookahead off where used Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Fills and slippage vary by venue • Shapes can move during bar formation and settle on close • Standard candles only for strategies Honest limitations and failure modes • Economic releases or very thin liquidity can overwhelm mean-reversion logic • Heavy gap regimes may require larger gap filter or TR-based tuning • Very quiet regimes reduce signal contrast; extend windows or raise thresholds Open source reuse and credits • None Strategy notice Orders are simulated by TradingView on standard candles. request.security uses lookahead off where applicable. Non-standard charts are not supported for execution. Entries and exits • Entry logic: as in Signal rule above • Exit logic: short side optional ATR stop and ATR take profit via brackets; long side closes on opposite setup • Risk model: ATR-based brackets on shorts when enabled • Tie handling: stop first when both could be touched inside one bar Dataset and sample size • Test across your visible history. For robust inference prefer 100 plus trades.
Chiến lược Pine Script®
của exlux
Aurum DCX AVE Gold and Silver StrategySummary in one paragraph Aurum DCX AVE is a volatility break strategy for gold and silver on intraday and swing timeframes. It aligns a new Directional Convexity Index with an Adaptive Volatility Envelope and an optional USD/DXY bias so trades appear only when direction quality and expansion agree. It is original because it fuses three pieces rarely combined in one model for metals: a convexity aware trend strength score, a percentile based envelope that widens with regime heat, and an intermarket DXY filter. Scope and intent • Markets. Gold and silver futures or spot, other liquid commodities, major indices • Timeframes. Five minutes to one day. Defaults to 30min for swing pace • Default demo used in this publication. TVC:GOLD on 30m • Purpose. Enter confirmed volatility breaks while muting chop using regime heat and USD bias • Limits. This is a strategy. Orders are simulated on standard candles only Originality and usefulness • Unique fusion. DCX combines DI strength with path efficiency and curvature. AVE blends ATR with a high TR percentile and widens with DCX heat. DXY adds an intermarket bias • Failure mode addressed. False starts inside compression and unconfirmed breakouts during USD swings • Testability. Each component has a named input. Entry names L and S are visible in the list of trades • Portable yardstick. Weekly ATR for stops and R multiples for targets • Open source. Method and implementation are disclosed for community review Method overview in plain language You score direction quality with DCX, size an adaptive envelope with a blend of ATR and a high TR percentile, and only allow breaks that clear the band while DCX is above a heat threshold in the same direction. An optional DXY filter favors long when USD weakens and short when USD strengthens. Orders are bracketed with a Weekly ATR stop and an R multiple target, with optional trailing to the envelope. Base measures • Range basis. True Range and ATR over user windows. A high TR percentile captures expansion tails used by AVE • Return basis. Not required Components • Directional Convexity Index DCX. Measures directional strength with DX, multiplies by path efficiency, blends a curvature term from acceleration, scales to 0 to 100, and uses a rise window • Adaptive Volatility Envelope AVE. Midline ALMA or HMA or EMA plus bands sized by a blend of ATR and a high TR percentile. The blend weight follows volatility of volatility. Band width widens with DCX heat • DXY Bias optional. Daily EMA trend of DXY. Long bias when USD weakens. Short bias when USD strengthens • Risk block. Initial stop equals Weekly ATR times a multiplier. Target equals an R multiple of the initial risk. Optional trailing to AVE band Fusion rule • All gates must pass. DCX above threshold and rising. Directional lead agrees. Price breaks the AVE band in the same direction. DXY bias agrees when enabled Signal rule • Long. Close above AVE upper and DCX above threshold and DCX rising and plus DI leads and DXY bias is bearish • Short. Close below AVE lower and DCX above threshold and DCX falling and minus DI leads and DXY bias is bullish • Exit and flip. Bracket exit at stop or target. Optional trailing to AVE band Inputs with guidance Setup • Symbol. Default TVC:GOLD (Correlation Asset for internal logic) • Signal timeframe. Blank follows the chart • Confirm timeframe. Default 1 day used by the bias block Directional Convexity Index • DCX window. Typical 10 to 21. Higher filters more. Lower reacts earlier • DCX rise bars. Typical 3 to 6. Higher demands continuation • DCX entry threshold. Typical 15 to 35. Higher avoids soft moves • Efficiency floor. Typical 0.02 to 0.06. Stability in quiet tape • Convexity weight 0..1. Typical 0.25 to 0.50. Higher gives curvature more influence Adaptive Volatility Envelope • AVE window. Typical 24 to 48. Higher smooths more • Midline type. ALMA or HMA or EMA per preference • TR percentile 0..100. Typical 75 to 90. Higher favors only strong expansions • Vol of vol reference. Typical 0.05 to 0.30. Controls how much the percentile term weighs against ATR • Base envelope mult. Typical 1.4 to 2.2. Width of bands • Regime adapt 0..1. Typical 0.6 to 0.95. How much DCX heat widens or narrows the bands Intermarket Bias • Use DXY bias. Default ON • DXY timeframe. Default 1 day • DXY trend window. Typical 10 to 50 Risk • Risk percent per trade. Reporting field. Keep live risk near one to two percent • Weekly ATR. Default 14. Basis for stops • Stop ATR weekly mult. Typical 1.5 to 3.0 • Take profit R multiple. Typical 1.5 to 3.0 • Trail with AVE band. Optional. OFF by default Properties visible in this publication • Initial capital. 20000 • Base currency. USD • request.security lookahead off everywhere • Commission. 0.03 percent • Slippage. 5 ticks • Default order size method percent of equity with value 3% of the total capital available • Pyramiding 0 • Process orders on close ON • Bar magnifier ON • Recalculate after order is filled OFF • Calc on every tick OFF Realism and responsible publication • No performance claims. Past results never guarantee future outcomes • Shapes can move while a bar forms and settle on close • Strategies use standard candles for signals and orders only Honest limitations and failure modes • Economic releases and thin liquidity can break assumptions behind the expansion logic • Gap heavy symbols may prefer a longer ATR window • Very quiet regimes can reduce signal contrast. Consider higher DCX thresholds or wider bands • Session time follows the exchange of the chart and can change symbol to symbol • Symbol sensitivity is expected. Use the gates and length inputs to find stable settings Open source reuse and credits • None Mode Public open source. Source is visible and free to reuse within TradingView House Rules Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on historical data and in simulation before any live use. Use realistic costs.
Chiến lược Pine Script®
của exlux
2
FluxGate Daily Swing StrategySummary in one paragraph FluxGate treats long and short as different ecosystems. It runs two independent engines so the long side can be bold when the tape rewards upside persistence while the short side can stay selective when downside is messy. The core reads three directional drivers from price geometry then removes overlap before gating with clean path checks. The complementary risk module anchors stop distance to a higher timeframe ATR so a unit means the same thing on SPY and BTC. It can add take profit breakeven and an ATR trail that only activates after the trade earns it. If a stop is hit the strategy can re enter in the same direction on the next bar with a daily retry cap that you control. Add it to a clean chart. Use defaults to see the intended behavior. For conservative workflows evaluate on bar close. Scope and intent • Markets. Large cap equities and liquid ETFs major FX pairs US index futures and liquid crypto pairs • Timeframes. From one minute to daily • Default demo in this publication. SPY on one day timeframe • Purpose. Reduce false starts without missing sustained trends by fusing independent drivers and suppressing activity when the path is noisy • Limits. This is a strategy. Orders are simulated on standard candles. Non standard chart types are not supported for execution Originality and usefulness • Unique fusion. FluxGate extracts three drivers that look at price from different angles. Direction measures slope of a smoothed guide and scales by realized volatility so a point of slope does not mean a different thing on different symbols. Persistence looks at short sign agreement to reward series of closes that keep direction. Curvature measures the second difference of a local fit to wake up during convex pushes. These three are then orthonormalized so a strong reading in one does not double count through another. • Gates that matter. Efficiency ratio prefers direct paths over treadmills. Entropy turns up versus down frequency into an information read. Light fractal cohesion punishes wrinkly paths. Together they slow the system in chop and allow it to open up when the path is clean. • Separate long and short engines. Threshold tilts adapt to the skew of score excursions. That lets long engage earlier when upside distribution supports it and keeps short cautious where downside surprise and venue frictions are common. • Practical risk behavior. Stops are ATR anchored on a higher timeframe so the unit is portable. Take profit is expressed in R so two R means the same concept across symbols. Breakeven and trailing only activate after a chosen R so early noise does not squeeze a good entry. Re entry after stop lets the system try again without you babysitting the chart. • Testability. Every major window and the aggression controls live in Inputs. There is no hidden magic number. Method overview in plain language Base measures • Return basis. Natural log of close over prior close for stability and easy aggregation through time. Realized volatility is the standard deviation of returns over a moving window. • Range basis for risk. ATR computed on a higher timeframe anchor such as day week or month. That anchor is steady across venues and avoids chasing chart specific quirks. Components • Directional intensity. Use an EMA of typical price as a guide. Take the day to day slope as raw direction. Divide by realized volatility to get a unit free measure. Soft clip to keep outliers from dominating. • Persistence. Encode whether each bar closed up or down. Measure short sign agreement so a string of higher closes scores better than a jittery sequence. This favors push continuity without guessing tops or bottoms. • Curvature. Fit a short linear regression and compute the second difference of the fitted series. Strong curvature flags acceleration that slope alone may miss. • Efficiency gate. Compare net move to path length over a gate window. Values near one indicate direct paths. Values near zero indicate treadmill behavior. • Entropy gate. Convert up versus down frequency into a probability of direction. High entropy means coin toss. The gate narrows there. • Fractal cohesion. A light read of path wrinkliness relative to span. Lower cohesion reduces the urge to act. • Phase assist. Map price inside a recent channel to a small signed bias that grows with confidence. This helps entries lean toward the right half of the channel without becoming a breakout rule. • Shock control. Compare short volatility to long volatility. When short term volatility spikes the shock gate temporarily damps activity so the system waits for pressure to normalize. Fusion rule • Normalize the three drivers after removing overlap • Blend with weights that adapt to your aggression input • Multiply by the gates to respect path quality • Smooth just enough to avoid jitter while keeping timing responsive • Compute an adaptive mean and deviation of the score and set separate long and short thresholds with a small tilt informed by skew sign • The result is one long score and one short score that can cross their thresholds at different times for the same tape which is a feature not a bug Signal rule • A long suggestion appears when the long score crosses above its long threshold while all gates are active • A short suggestion appears when the short score crosses below its short threshold while all gates are active • If any required gate is missing the state is wait • When a position is open the status is in long or in short until the complementary risk engine exits or your entry mode closes and flips Inputs with guidance Setup Long • Base length Long. Master window for the long engine. Typical range twenty four to eighty. Raising it improves selectivity and reduces trade count. Lowering it reacts faster but can increase noise • Aggression Long. Zero to one. Higher values make thresholds more permissive and shorten smoothing Setup Short • Base length Short. Master window for the short engine. Typical range twenty eight to ninety six • Aggression Short. Zero to one. Lower values keep shorts conservative which is often useful on upward drifting symbols Entries and UI • Entry mode. Both or Long only or Short only Complementary risk engine • Enable risk engine. Turns on bracket exits while keeping your signal logic untouched • ATR anchor timeframe. Day Week or Month. This sets the structural unit of stop distance • ATR length. Default fourteen • Stop multiple. Default one point five times the anchor ATR • Use take profit. On by default • Take profit in R. Default two R • Breakeven trigger in R. Default one R Usage recipes Intraday trend focus • Entry mode Both • ATR anchor Week • Aggression Long zero point five Aggression Short zero point three • Stop multiple one point five Take profit two R • Expect fewer trades that stick to directional pushes and skip treadmill noise Intraday mean reversion focus • Session windows optional if you add them in your copy • ATR anchor Day • Lower aggression both sides • Breakeven later and trailing later so the first bounce has room • This favors fade entries that still convert into trends when the path stays clean Swing continuation • Signal timeframe four hours or one day • Confirm timeframe one day if you choose to include bias • ATR anchor Week or Month • Larger base windows and a steady two R target • This accepts fewer entries and aims for larger holds Properties visible in this publication • Initial capital 25.000 • Base currency USD • Default order size percent of equity value three - 3% of the total capital • Pyramiding zero • Commission zero point zero three percent - 0.03% of total capital • Slippage five ticks • Process orders on close off • Recalculate after order is filled off • Calc on every tick off • Bar magnifier off • Any request security calls use lookahead off everywhere Realism and responsible publication • No performance promises. Past results never guarantee future outcomes • Fills and slippage vary by venue and feed • Strategies run on standard candles only • Shapes can update while a bar is forming and settle on close • Keep risk per trade sensible. Around one percent is typical for study. Above five to ten percent is rarely sustainable Honest limitations and failure modes • Sudden news and thin liquidity can break assumptions behind entropy and cohesion reads • Gap heavy symbols often behave better with a True Range basis for risk than a simple range • Very quiet regimes can reduce score contrast. Consider longer windows or higher thresholds when markets sleep • Session windows follow the exchange time of the chart if you add them • If stop and target can both be inside a single bar this strategy prefers stop first to keep accounting conservative Open source reuse and credits • No reused open source beyond public domain building blocks such as ATR EMA and linear regression concepts Legal Education and research only. Not investment advice. You are responsible for your decisions. Test on history and in simulation with realistic costs
Chiến lược Pine Script®
của exlux
Tristan's W%R StrategyOverview: This strategy uses the raw Williams %R oscillator to automatically generate buy and sell signals based on overbought and oversold levels. It is session-aware, allowing you to restrict trades to specific market hours (New York, London, or Asia). Key Features: Buy Signal: Fires whenever the raw Williams %R is at or below the oversold level (default −100). Sell Signal: Fires whenever the raw Williams %R is at or above the overbought level (default 0). Session Filtering: Only triggers trades during the selected session (All, New York, London, or Asia). Pyramiding: Allows multiple trades to stack, so every qualifying signal results in a new trade. Alerts: Optional alerts for automation via webhook or broker integration. Session Highlight: Background shading indicates when the selected session is active. How to Use: Set the Williams %R length, overbought, and oversold levels to match your trading style. Select the session you want the strategy to be active in (New York, London, or Asia). Enable alerts if you plan to automate trades with an API. Add the strategy to your chart. It will execute trades automatically whenever the raw %R meets the configured thresholds during the selected session. Adjust pyramiding if you want to limit the number of stacked trades per session. Note: This script uses the raw W%R signal vs the smoothed one because I found it to be more accurate for automated trading. Every qualifying signal results in a trade, even if positions are already open.
Chiến lược Pine Script®
của OhRayOhRay
1
DayTrader Plug and Play Score Strategy HSBeen playing around with automating a strategy and to make something more flexible in updating indicators/ risk reward scenarios. I Trade on 5 min timeframe choosing stocks from a day trading scanner I use to evaluate premarket movement. This script take into account short term EMA crossovers, VWAP, RSI, Candlesticks, and previous day S/R lines to determine buy/sell points. It Mostly runs on a VWAP strategy and will only buy when price is above VWAP and only sell when price is below VWAP. But uses the other indicators as more confirmations. All of these indicators come together to form a score 1-8.5 and gives buy/sell signals based on the score. Strategy is as below: My Stock scanner gives me anywhere from 3-5 stocks per day to trade. (Not included) Strategy will only trade once per day per stock. Strategy closes positions after 2 hours in the market. Strategy closes all positions 5 min before end of day close. Trade size is set to 1% of the account size. The risk is 2% of that trade, reward is 4%. Score threshold for hitting the indicator threshold is set to 5.5 score ^^This is all editable in the script. After building and testing an rebuilding for a few months this has been my most profitable strategy in PAPER TRADING so I thought id share. I enjoy this kind of tinkering and scenario testing. Enjoy!
Chiến lược Pine Script®
của hjsaliski
HermesHERMES STRATEGY - TRADINGVIEW DESCRIPTION OVERVIEW Hermes is an adaptive trend-following strategy that uses dual ALMA (Arnaud Legoux Moving Average) filters to identify high-quality entry and exit points. It's designed for swing and position traders who want smooth, low-lag signals with minimal whipsaws. Unlike traditional moving averages that operate on price, Hermes analyzes price returns (percentage changes) to create signals that work consistently across any asset class and price range. HOW IT WORKS DUAL ALMA SYSTEM The strategy uses two ALMA lines applied to price returns: • Fast ALMA (Blue Line): Short-term trend signal (default: 80 periods) • Slow ALMA (Black Line): Long-term baseline trend (default: 250 periods) ALMA is superior to simple or exponential moving averages because it provides: • Smoother curves with less noise • Significantly reduced lag • Natural resistance to outliers and flash crashes TRADING LOGIC BUY SIGNAL: • Fast ALMA crosses above Slow ALMA (bullish regime) • Price makes new N-bar high (momentum confirmation) • Optional: Price above 200 EMA (macro trend filter) • Optional: ALMA lines sufficiently separated (strength filter) SELL SIGNAL: • Fast ALMA crosses below Slow ALMA (bearish regime) • Optional: Price makes new N-bar low (momentum confirmation) The strategy stays in position during the entire bullish regime, allowing you to ride trends for weeks or months. VISUAL INDICATORS LINES: • Blue Line: Fast ALMA (short-term signal) • Black Line: Slow ALMA (long-term baseline) TRADE MARKERS: • Green Triangle Up: Buy executed • Red Triangle Down: Sell executed • Orange "M": Buy blocked by momentum filter • Purple "W": Buy blocked by weak crossover strength KEY PARAMETERS ALMA SETTINGS: • Short Period (default: 30) - Fast signal responsiveness • Long Period (default: 250) - Baseline stability • ALMA Offset (default: 0.90) - Balance between lag and smoothness • ALMA Sigma (default: 7.5) - Gaussian curve width ENTRY/EXIT FILTERS: • Buy Lookback (default: 7) - Bars for momentum confirmation (required) • Sell Lookback (default: 0) - Exit momentum bars (0 = disabled for faster exits) • Min Crossover Strength (default: 0.0) - Required ALMA separation (0 = disabled) • Use Macro Filter (default: true) - Only enter above 200 EMA BEST PRACTICES RECOMMENDED ASSETS - Works well on: • Cryptocurrencies (Bitcoin, Ethereum, etc.) • Major indices (S&P 500, Nasdaq) • Large-cap stocks • Commodities (Gold, Oil) RECOMMENDED TIMEFRAMES: • Daily: Primary timeframe for swing trading • 4-Hour: More active trading (increase trade frequency) • Weekly: Long-term position trading PARAMETER TUNING: • More trades: Lower Short Period (60-80) • Fewer trades: Raise Short Period (100-120) • Faster exits: Set Sell Lookback = 0 • Safer entries: Enable Macro Filter (Use Macro Filter = true) STRATEGY ADVANTAGES 1. Low Lag - ALMA provides faster signals than traditional moving averages 2. Smooth Signals - Minimal whipsaws compared to crossover strategies 3. Asset Agnostic - Same parameters work across different markets 4. Trend Capture - Stays positioned during entire bullish regimes 5. Risk Management - Multiple filters prevent poor entries 6. Visual Clarity - Easy to interpret regime and filter states WHEN TO USE HERMES BEST FOR: • Trending markets (crypto bull runs, equity uptrends) • Swing trading (hold days to weeks) • Position trading (hold weeks to months) • Clear trend identification • Risk-managed exposure NOT SUITABLE FOR: • Ranging/sideways markets • Scalping or day trading • High-frequency trading • Mean reversion strategies RISK DISCLAIMER This indicator is for educational purposes only. Past performance does not guarantee future results. Always use proper position sizing and risk management. Test thoroughly on historical data before live trading. CREDITS Inspired by Giovanni Santostasi's Power Law Volatility Indicator, generalized for universal application across all assets using adaptive ALMA filtering. Strategy by Hermes Trading Systems QUICK START 1. Add indicator to chart 2. Use on daily timeframe for best results 3. Look for green buy signals when blue line crosses above black line 4. Exit on red sell signals when blue line crosses below black line 5. Adjust parameters based on your trading style: • Conservative: Enable Macro Filter, increase Buy Lookback to 10 • Aggressive: Disable Macro Filter, lower Short Period to 60 • Default settings work well for most assets
Chiến lược Pine Script®
của aicccia
2
Golden Cross 50/200Simplicity characterizes each of my trading systems and methods. On this occasion, I present a trend-following strategy with simple rules and high profitability. System Rules: -Long entries when the 50 EMA crosses above the 200 EMA. -Stop Loss (SL) placed at the low of 15 candles prior to the entry candle. -Take Profit (TP) triggered when the 50 EMA crosses below the 200 EMA. As with any trend-following system, we sacrifice win rate for profitability, and of course, we will focus on traditional markets with a consistent trend-following nature over time. Recommended Markets and Timeframes: BTCUSDT H6 August 17, 2017 - October 20, 2025 Total trades: 30 Profitability: +1,682.99% Win rate: 40% Outperforms Buy & Hold BTCUSDT H4 August 17, 2017 - October 20, 2025 Total trades: 42 Profitability: +12,213.49% (high and stable performance curve) Win rate: 40% Outperforms Buy & Hold BTCUSDT H2 August 17, 2017 - October 20, 2025 Total trades: 95 Profitability: +2,363.80% Win rate: 24.21% Matches Buy & Hold BTCUSDT H1 August 17, 2017 - October 20, 2025 Total trades: 203 Profitability: +1,045% (stable performance curve) Win rate: 25.62% BTCUSDT 30M August 17, 2017 - October 20, 2025 Total trades: 393 Profitability: +4,205.51% (high and stable performance curve) Win rate: 27.74% Outperforms Buy & Hold BTCUSDT 15M August 17, 2017 - October 20, 2025 Total trades: 821 Profitability: +1,311.97% Win rate: 23.14% Timeframes such as Daily, 12-hour, 8-hour, and even 5-minute charts are profitable with this system, so feel free to experiment. Other markets and timeframes to observe include: -XAUUSD (H1, H4, H6, H8, Daily) -SPX (Daily: +21,302% profitability since 1871 in 40 trades) -Tesla (H1, H2, H4, H6, especially M30 and M15) -Apple (M5, M15, M30, H1, H2, H4…) -Warner Bros (M5, M15, M30…) -GOOGL (M5, M15, M30, H1, H2, H4, H6…) -AMZN (M5, M15, M30, H2, H4, H6…) -META (M5, M15, M30, H1, H2, H4…) -NVDA (M5, M15, M30, H1, H2, H4…) This system not only generates significant profitability but also performs very well in traditional markets, even on lower timeframes like 5-minute charts. In many cases, the returns far exceed Buy & Hold. I hope this strategy is useful to you. Follow my Spanish-speaking profile if you want to see my market analyses, and send me your good vibes!
Chiến lược Pine Script®
của Especulador96
Master Trend Strategy - by jake_thebossMaster Trend Strategy This strategy combines multiple technical indicators to identify high-probability trend entries across all asset classes. Core Signal Logic: Entry triggered when EMA 4 crosses above/below EMA 5 Confirmation required from RSI (>50 for long, <50 for short) Price must be above/below key moving averages: EMA 21, SMA 50, EMA 55, EMA 89, and EMA 750 Additional confirmation from Stochastic (>52 bullish, <48 bearish) or EMA 89 breakout or VWAP cross Key Features: VWAP filter: Only takes bullish signals above VWAP and bearish signals below VWAP Optional pyramiding: Allows multiple entries in the same direction (up to 200 orders) Individual stop loss and take profit management for each pyramid level Time filter: Customizable trading hours with timezone offset Risk management: Adjustable stop loss (default 0.3%) and take profit (default 0.6%) Visualization: Entry, stop loss, and take profit levels drawn as horizontal lines Customizable signal markers (triangles) for bull/bear entries Optional EMA overlay display The strategy is designed for trend-following on lower timeframes, with strict multi-indicator confirmation to filter out false signals.
Chiến lược Pine Script®
của jake_theboss
MACD + Supertrend + DEMA StrategySTRATEGY 📊 STRATEGY LOGIC: Long Entry: When ALL of these occur simultaneously: MACD histogram crosses above 0 Supertrend is bullish (green) Short DEMA > Long DEMA Short Entry: When ALL of these occur simultaneously: MACD histogram crosses below 0 Supertrend is bearish (red) Short DEMA < Long DEMA Exits: Based on your TP/SL percentages from entry price This follows the same clean structure as your MACD strategy but adds the alignment concept and proper risk management!
Chiến lược Pine Script®
của bdmasood
Moving Average Trend Strategy V2.1 — With Stop Loss and Add Posi**Strategy Feature Description:** --- ### **Entry Logic:** * When **MA7** crosses **MA15**, and the distance between **MA15** and **MA99** is less than **0.5%** * When **MA15** crosses **MA99**, and the distance between **MA7** and **MA15** is less than **0.5%** * When the distance among all three MAs (**MA7**, **MA15**, **MA99**) is less than **0.5%** (adjustable via parameters) --- ### **Capital Management:** * Initial capital: **$100** * Each position uses **15%** of total capital * Opens **both long and short positions simultaneously** (dual-direction mode) --- ### **Risk Control:** * **Long position stop-loss:** Entry price − 2% * **Short position stop-loss:** Entry price + 2% * Uses a **five-level take-profit grid**: * Every 5% profit → close 20% of position * Any pending take-profit orders are automatically canceled when stop-loss triggers --- ### **Visualization Features:** * Real-time display of the three moving averages * Chart annotations for entry signal points * All trade signals and performance can be viewed through **TradingView backtest reports** --- ### **Notes:** * Parameters can be adjusted based on the volatility of the instrument (historical backtesting is recommended first) * Dual-direction positions may generate **hedging costs** — recommended for low-fee markets * Real trading must consider **exchange minimum order size limits** * Suggest enabling a **volume filter mechanism** (extension interface already reserved) * Always perform **historical backtesting and parameter optimization** in TradingView before connecting to live trading systems
Chiến lược Pine Script®
của shuan789
Moving Average Trend Strategy V4.1 — Revised Version (Selectable✅ **Version Notes (V4.0)** | Feature | Description | | --------------------------------------- | -------------------------------------------------------- | | 🧠 **Moving Average Type Options** | Choose from EMA / SMA / HMA / WMA | | 🧱 **Take-Profit / Stop-Loss Switches** | Can be enabled or disabled independently | | ⚙️ **Add Position Function** | Can be enabled or disabled independently | | 🔁 **Add Position Signal Source** | Selectable between MA Crossover / MACD / RCI / RSI | | 💹 **Adjustable Parameters** | All periods and percentages are customizable in settings | --- ✅ **Update Summary:** | Function | Description | | -------------------------------------- | --------------------------------------------------------------------- | | **MA Type Selection** | Choose EMA / SMA / HMA / WMA in chart settings | | **Take-Profit / Stop-Loss Percentage** | Configurable in the “Take-Profit & Stop-Loss” group | | **Add / Reduce Position Percentage** | Adjustable separately in the “Add/Reduce Position” group | | **MA Periods** | Customizable in the “Moving Average Parameters” section | | **Code Structure** | Logic unchanged — only parameterization and selection functions added | --- ### **Strategy Recommendations:** * **Trending Market:** Prefer EMA trend tracking or SAR indicators * **Range-Bound Market:** Use ATR-based volatility stop-loss * **Before Major Events:** Consider option hedging * **Algorithmic Trading:** Recommend ATR + partial take-profit combination strategy --- ### **Key Parameter Optimization Logic:** * Backtest different **ATR multipliers** (2–3× ATR) * Test **EMA periods** (10–50 periods) * Optimize **partial take-profit ratios** * Adjust **maximum drawdown tolerance** (typically 30–50% of profit) --- ### **Risk Control Tips:** * Avoid overly tight stop-losses that trigger too frequently * During strong trends, consider widening take-profit targets * Confirm trend continuation with **volume analysis** * Adjust parameters based on **timeframe** (e.g., Daily vs Hourly) --- ### **Practical Example (Forex: EUR/USD):** * **Entry:** Go long on breakout above 1.1200 * **Initial Stop-Loss:** 1.1150 (50 pips) * **When profit reaches 1.1300:** * Close 50% of position * Move stop-loss to 1.1250 (lock in 50 pips profit) * **When price rises to 1.1350:** * Move stop-loss to 1.1300 (lock in 100 pips profit) * **Final Outcome:** * Price retraces to 1.1300, triggering take-profit This method secured over **80% of trend profits** during the 2023 EUR rebound, capturing **23% more profit** compared to fixed take-profit strategies (based on backtest results).
Chiến lược Pine Script®
của shuan789
Swing Breakout Strategy ver 1Overview A multi-confirmation swing strategy that seeks trend breakouts and adds three optional confluence modules: candlestick patterns, RSI/MACD regular divergences, and simple chart patterns (double top/bottom). Built for clarity, fast testing, and togglable debug markers. Core Logic Trend filter: SMA(50) vs SMA(200) + price vs SMA(21). Breakout engine: Close breaks prior N-bar high/low (lookback configurable). Momentum: Stochastic cross (optional view), MACD cross/zone, RSI regime (>50 or <50). Volume: Above SMA(volume) filter. Optional Confluence Modules Candlestick analysis (enable/disable): Bull/Bear Engulfing, Hammer, Shooting Star, Inside Bar (bull/bear flavors). Divergence (enable/disable): Regular divergences on RSI and MACD histogram using confirmed pivots (HH/LH or LL/HL). Chart patterns (enable/disable): Double Bottom (two similar lows + neckline break). Double Top (two similar highs + neckline break). Tolerance and pivot width are configurable. Entries & Exits Entry Long: Any of (Base Breakout + Trend + Momentum + Volume) OR enabled confluences (candles / divergence / pattern). Entry Short: Symmetric logic for downside. Risk management: Optional ATR-based stop loss and take profit (configurable length & multipliers). Note: If you prefer confluences to be filters (AND), change the final buySignal/sellSignal lines accordingly. Inputs (key) SMA lengths (21/50/200), RSI length, Stochastic lengths & smoothing, MACD (12/26/9). Breakout lookback, Volume SMA. ATR exits (on/off, ATR length, SL/TP multipliers). Toggles for Candlesticks, Divergences, Patterns, plus per-module debug markers. Plots & Markers Plots SMA 21/50/200. Buy/Sell arrows on chart. Optional debug markers for each condition (global-scope safe). Divergence/pattern markers offset to the actual pivot/neckline bars. Good Practices Test on multiple timeframes and instruments; tune lookbacks and ATR multipliers. Consider using the modules as filters in trending markets to reduce whipsaws. Always forward-test and combine with position sizing. Disclaimer For educational purposes only. This is not financial advice. Trading involves risk. Version & Credits Pine Script® v6 — Strategy. Developed by: Mohammed Bedaiwi.
Chiến lược Pine Script®
của mbedaiwi2
Swing Breakout Strategy — Candles + Divergences + Patterns (rev)Overview A multi-confirmation swing strategy that seeks trend breakouts and adds three optional confluence modules: candlestick patterns, RSI/MACD regular divergences, and simple chart patterns (double top/bottom). Built for clarity, fast testing, and togglable debug markers. Core Logic Trend filter: SMA(50) vs SMA(200) + price vs SMA(21). Breakout engine: Close breaks prior N-bar high/low (lookback configurable). Momentum: Stochastic cross (optional view), MACD cross/zone, RSI regime (>50 or <50). Volume: Above SMA(volume) filter. Optional Confluence Modules Candlestick analysis (enable/disable): Bull/Bear Engulfing, Hammer, Shooting Star, Inside Bar (bull/bear flavors). Divergence (enable/disable): Regular divergences on RSI and MACD histogram using confirmed pivots (HH/LH or LL/HL). Chart patterns (enable/disable): Double Bottom (two similar lows + neckline break). Double Top (two similar highs + neckline break). Tolerance and pivot width are configurable. Entries & Exits Entry Long: Any of (Base Breakout + Trend + Momentum + Volume) OR enabled confluences (candles / divergence / pattern). Entry Short: Symmetric logic for downside. Risk management: Optional ATR-based stop loss and take profit (configurable length & multipliers). Note: If you prefer confluences to be filters (AND), change the final buySignal/sellSignal lines accordingly. Inputs (key) SMA lengths (21/50/200), RSI length, Stochastic lengths & smoothing, MACD (12/26/9). Breakout lookback, Volume SMA. ATR exits (on/off, ATR length, SL/TP multipliers). Toggles for Candlesticks, Divergences, Patterns, plus per-module debug markers. Plots & Markers Plots SMA 21/50/200. Buy/Sell arrows on chart. Optional debug markers for each condition (global-scope safe). Divergence/pattern markers offset to the actual pivot/neckline bars. Good Practices Test on multiple timeframes and instruments; tune lookbacks and ATR multipliers. Consider using the modules as filters in trending markets to reduce whipsaws. Always forward-test and combine with position sizing. Disclaimer For educational purposes only. This is not financial advice. Trading involves risk. Version & Credits Pine Script® v6 — Strategy. Developed by: Mohammed Bedaiwi.
Chiến lược Pine Script®
của mbedaiwi2
AlgoWay GRSIM🧭 What this strategy tries to do This strategy detects when a market move is losing strength and prepares for a potential reversal, but it waits for fresh momentum confirmation before acting. It combines: • RSI-based divergence (to spot exhaustion and potential turning points), • Impulse MACD (to verify that the new direction actually has force behind it). ________________________________________ ⚙️ When it takes trades Long (Buy): • A bullish RSI divergence appears (a clue that selling pressure is fading); • Within a short time window, the Impulse MACD turns strongly positive; • Optionally, the impulse line itself must be rising (if the Impulse Direction Filter is enabled). Short (Sell): • A bearish RSI divergence appears (buying pressure fading); • Within a short time window, the Impulse MACD turns strongly negative; • Optionally, the impulse line must be falling (if the Impulse Direction Filter is enabled). If momentum confirmation happens too late, the divergence “expires” and the signal is ignored. ________________________________________ 🧩 How entries work 1. Reversal clue: The strategy detects disagreement between price and RSI (price makes a new high/low, RSI doesn’t). That suggests a shift in underlying strength. 2. Momentum confirmation: Before entering, the Impulse MACD must agree — showing real push in the same direction. 3. Impulse direction filter (optional): When enabled, the impulse itself must accelerate (rise for longs, fall for shorts), avoiding fake signals where price diverges but momentum is still fading. 4. No stacking: It opens only one position at a time. ________________________________________ 🚪 How exits work Two main exit styles: Conservative (default): Longs close when impulse crosses below its signal line. Shorts close when impulse crosses above its signal line. ✅ Keeps trades as long as momentum agrees. Color-change (fast): Longs close immediately when impulse flips bearish. Shorts close immediately when impulse flips bullish. ⚡ Faster and more defensive. Plus: Stop Loss (%) and Take Profit (%) act as fixed-distance protective exits (set to 0 to disable either one). ________________________________________ 📊 What you’ll see on the chart A thick Impulse MACD line and thin signal line (oscillator view). Diamonds — detected bullish/bearish divergence points. Circles — where impulse crosses its signal (momentum change). A performance panel (top-right) showing Net Profit, Trades, Win Rate, Profit Factor, Pessimistic PF, and Max Drawdown. ________________________________________ 🔧 What you can tune Signal Lifetime (bars): how long a divergence remains valid. Impulse Direction Filter: ensure the impulse itself is moving in the trade’s direction. Stop Loss / Take Profit (%): risk and target in percent. Exit Style: conservative cross or faster color-change. RSI / MA / Signal Lengths: adjust responsiveness (defaults are balanced). ________________________________________ 💪 Strengths Confirms reversals using momentum direction, not just divergence. Avoids “early” signals where momentum is still fading. Works symmetrically for longs and shorts. Built-in stop/target protection. Clear, visual confirmation of all logic components. ________________________________________ ⚠️ Things to keep in mind In sideways markets, the impulse can flip often — prefer conservative exits. Too small SL/TP → constant stop-outs. Too wide SL/TP → deep drawdowns. Always test with different timeframes and markets. ________________________________________ 💡 Practical tips Start with default settings. Enable “Use Impulse Direction Filter” in trending markets, disable it in very choppy ones. Focus on Profit Factor, Win Rate, and Max Drawdown after several dozen trades. Keep SL/TP roughly aligned with typical swing size. “AlgoWay GRSIM” is a reversal-with-confirmation strategy: it spots likely turns, demands real momentum alignment (optionally verified by impulse direction), and manages exits with clear momentum cues plus built-in protective limits.
Chiến lược Pine Script®
của AlgowayConnector