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Penguin Volatility State StrategyThe Penguin Volatility State Strategy is a comprehensive technical analysis framework designed to identify the underlying "state" or "regime" of the market. Instead of just providing simple buy or sell signals, its primary goal is to classify the market into one of four distinct states by combining trend, momentum, and volatility analysis. The core idea is to trade only when these three elements align, focusing on periods of volatility expansion (a "squeeze breakout") that occur in the direction of a confirmed trend and are supported by strong momentum. Key Components The strategy is built upon two main engines The Volatility Engine (Bollinger Bands vs. Keltner Channels) This engine detects periods of rapidly increasing volatility. It measures the percentage difference (diff) between the upper bands of Bollinger Bands (which are based on standard deviation) and Keltner Channels (based on Average True Range). During a volatility "squeeze," both bands are close. When price breaks out, the Bollinger Band expands much faster than the Keltner Channel, causing the diff value to become positive. A positive diff signals a volatility breakout, which is the moment the strategy becomes active. The Trend & Momentum Engine (Multi-EMA System) This engine determines the market's direction and strength. It uses: A Fast EMA (e.g., 12-period) and a Slow EMA (e.g., 26-period): The crossover of these two moving averages defines the primary, underlying trend (similar to a MACD). An Ultra-Fast EMA (e.g., 2-period of ohlc4): This is used to measure the immediate, short-term momentum of the price. The Four Market States By combining the Trend and Momentum engines, the strategy categorizes the market into four visually distinct states, represented by the chart's background color. This is the most crucial aspect of the system. 💚 Green State: Strong Bullish The primary trend is UP (Fast EMA > Slow EMA) AND the immediate momentum is STRONG (Price > Fast EMA). Interpretation: This represents a healthy, robust uptrend where both the underlying trend and short-term price action are aligned. It is considered the safest condition for taking long positions. ❤️ Red State: Strong Bearish Condition: The primary trend is DOWN (Fast EMA < Slow EMA) AND the immediate momentum is WEAK (Price < Fast EMA). Interpretation: This represents a strong, confirmed downtrend. It is considered the safest condition for taking short positions. 💛 Yellow State: Weakening Bullish / Pullback Condition: The primary trend is UP (Fast EMA > Slow EMA) BUT the immediate momentum is WEAK (Price < Fast EMA). Interpretation: This is a critical warning signal for bulls. While the larger trend is still up, the short-term price action is showing weakness. This could be a minor pullback, a period of consolidation, or the very beginning of a trend reversal. Caution is advised. 💙 Blue State: Weakening Bearish / Relief Rally Condition: The primary trend is DOWN (Fast EMA < Slow EMA) BUT the immediate momentum is STRONG (Price > Fast EMA). Interpretation: This signals that a downtrend is losing steam. It often represents a short-covering rally (a "bear market rally") or the first potential sign of a market bottom. Bears should be cautious and consider taking profits. How the Strategy Functions The strategy uses these four states as its foundation for making trading decisions. The entry and exit arrows (Long, Short, Close) are generated based on a set of rules that can be customized by the user. For instance, a trader can configure the strategy to Only take long trades during the Green State. Require a confirmed volatility breakout (diff > 0) before entering a trade. Use the "RSI on Diff" indicator to ensure that the breakout is supported by accelerating momentum. Summary In essence, the Penguin Volatility State Strategy provides a powerful "dashboard" for viewing the market. It moves beyond simple indicators to offer a contextual understanding of price action. By waiting for the alignment of Trend (the State), Volatility (the Breakout), and Momentum (the Acceleration), it helps traders to identify higher-probability setups and, just as importantly, to know when it is better to stay out of the market. License / disclaimer © waranyu.trkm — MIT License. Educational use only; not financial advice.
Pine Script® strategy
by waranyutrkm
VWAP Trend Strategy (Intraday) [KedarArc Quant]Description: An intraday strategy that anchors to VWAP and only trades when a local EMA trend gate and a volume participation gate are both open. It offers two entry templates—Cross and Cross-and-Retest—with an optional Momentum Exception for impulsive moves. Exits combine a TrendBreak (structure flips) with an ATR emergency stop (risk cap). Updates will be published under this script. Why this merits a new script This is not a simple “VWAP + EMA + ATR” overlay. The components are sequenced as gates and branches that *change the trade set* in ways a visual mashup cannot: 1. Trend Gate first (EMA fast vs. slow on the entry timeframe) Counter-trend VWAP crosses are suppressed. Many VWAP scripts fire on every cross; here, no entry logic even evaluates unless the trend gate is open. 2. Participation Gate second (Volume SMA × multiplier) This gate filters thin liquidity moves around VWAP. Without it, the same visuals would produce materially more false triggers. 3. Branching entries with structure awareness * Cross: Immediate VWAP cross in the trend direction. * Cross-and-Retest: Requires a revisit to VWAP vicinity within a lookback window (recent low near VWAP for longs; recent high for shorts). This explicitly removes first-touch fakeouts that a plain cross takes. * Momentum Exception (optional): A quantified body% + volume condition can bypass the retest when flow is impulsive—intentional risk-timing, not “just another indicator.” 4. Dual exits that reference both anchor and structure * TrendBreak: Close only when price loses VWAP and EMA alignment flips. * ATR stop: Placed at entry to cap tail risk. These exits complement the entry structure rather than being generic stop/target add-ons. What it does * Trades the session’s fair value anchor (VWAP), but only with local-trend agreement (EMA fast vs. slow) and sufficient participation (volume filter). * Lets you pick Cross or Cross-and-Retest entries; optionally allow a fast Momentum Exception when candles expand with volume. * Manages positions with a structure exit (TrendBreak) and an emergency ATR stop from entry. How it works (concepts & calculations) * VWAP (session anchor): Standard VWAP of the active session; entries reference the cross and the retest proximity to VWAP. * Trend gate: Long context only if `EMA(fast) > EMA(slow)`; short only if `EMA(fast) < EMA(slow)`. A *gate*, not a trigger—entries aren’t considered unless this is true. * Participation (volume) gate: Require `volume > SMA(volume, volLen) × volMult`. Screens out low-participation wiggles around VWAP. Entries: * Cross: Price crosses VWAP in the trend direction while volume gate is open. * Cross-and-Retest: After crossing, price revisits VWAP vicinity within `lookback` (recent *low near VWAP* for longs; recent *high near VWAP* for shorts). * Momentum Exception (optional): If body% (|close−open| / range) and volume exceed thresholds, enter without waiting for the retest. Exits: * TrendBreak (structure): * Longs close when `price < VWAP` and `EMA(fast) < EMA(slow)` (mirror for shorts). * ATR stop (risk): * From entry: `stop = entry ± ATR(atrLen) × atrMult`. How to use it ? 1. Select market & timeframe: Intraday on liquid symbols (equities, futures, crypto). 2. Pick entry mode: * Start with Cross-and-Retest for fewer, more selective signals. * Enable Momentum Exception if strong moves leave without retesting. 3. Tune guards: * Raise `volMult` to ignore thin periods; lower it for more activity. * Adjust `lookback` if retests come late/early on your symbol. 4. Risk: * `atrLen` and `atrMult` set the emergency stop distance. 5. Read results per session: Optional panel (if enabled) summarizes Net-R, Win%, and PF for today’s session to evaluate behavior regime by regime. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Pine Script® strategy
by kedarcquant
CryptoThunder Storm v1.21CryptoThunder Storm v1.21 — Strategy (non-repainting, HTF-aware) CryptoThunder Storm is a Pine v6 strategy that trades the cross of two moving-average variants computed on an alternate (higher) timeframe derived from your current chart. It’s built to be non-repainting by evaluating signals only at HTF bar boundaries and by avoiding lookahead. The script can trade LONG, SHORT, BOTH, or be disabled, and it includes a one-click invert Long/Short mode. How it works Two MA streams (Open/Close series). You can choose from multiple MA types (SMA/EMA/DEMA/TEMA/WMA/VWMA/SMMA/Hull/LSMA/ALMA/SSMA/TMA). The script computes: closeSeries – MA of the (possibly delayed) close openSeries – MA of the (possibly delayed) open Alternate Resolution (HTF). The inputs allow you to multiply your current chart’s timeframe (e.g., on 5m with multiplier 3 → HTF = 15m). Both series are requested via request.security() with lookahead_off. Non-repainting gating. Signals are evaluated once per HTF bar (htfClosed gate). This ensures entries/alerts are aligned with HTF boundaries and prevents forward-shifting. Entry logic. Long when closeSeriesAlt crosses above openSeriesAlt. Short when closeSeriesAlt crosses below openSeriesAlt. Invert mode swaps these actions (a former long signal opens a short, and vice versa). Orders are processed on bar close (process_orders_on_close=true). Risk management (optional). Optional initial TP/SL exits via strategy.exit() (ticks/points). Set 0 to disable. Visuals. The script colors bars (optional) and plots the two HTF series with a filled band, plus compact UP/DN/CL markers that match the executed side after inversion/filtering. Inputs & configuration Use Alternate Resolution? Turns the HTF logic on/off. When off, the strategy uses the chart timeframe. Multiplier for Alternate Resolution Multiplies the current timeframe to form the HTF (e.g., 3×). MA Type / Period / Offsets MA Type — choose from 12 variants. MA Period — core length. Offset for LSMA / Sigma for ALMA — MA-specific tuning. Offset for ALMA — center of mass for ALMA. Delay Open/Close MA — shifts the source back by n bars for a more conservative (non-peek) calculation. Keep at 0 unless you know you want extra delay. Show coloured Bars to indicate Trend? Colors bars relative to HTF band. What trades should be taken: LONG / SHORT / BOTH / NONE Filters which sides are actually traded. Invert Long/Short logic? Swaps long ↔ short everywhere (orders, markers, JSON alerts). Backtest window (Number of Bars for Back Testing) Crude limiter to speed up testing. 0 = test full history. TP/SL (Initial Stop Loss / Target Profit Points) Values in ticks/points. 0 disables. They apply to both sides via strategy.exit(). Alert options Turn on alerts (JSON) Show alert marks (UP/DOWN/CLOSE) Send CLOSE alerts (toggle) The strategy fires alert() internally. Create an alert on “Any alert() function call”. The payload is a simple JSON string:{ "text":"C98USDT.P UP"} Messages: UP — a long entry was executed (or, with Invert on: the inverted long signal that opens a long). DOWN — a short entry executed. CLOSE — position closed or flipped. Tip: If you want to route long/short to different webhooks, parse the text field for UP, DOWN, or CLOSE Plotting & markers Band: Fills between the two HTF MA lines. Bar color (optional): Quick visual trend cue. Markers: ▲ “UP” below bar when a long executes. ▼ “DN” above bar when a short executes. ✖ “CL” on position close/flip. These reflect the final executed side, after trade filters and after Invert mode Best practices & notes Non-repainting design. request.security(..., lookahead_off) prevents future data leakage. Signals are gated to HTF bar boundaries, so you won’t get intra-HTF recalculations. Strategy orders are processed at bar close. Choosing the multiplier. A 2×–4× multiplier often balances responsiveness vs stability (e.g., 5m→15m or 20m). Larger multipliers reduce churn and false signals. TP/SL units. Values are in ticks/points of the chart symbol. On crypto, check your instrument’s tick size and adjust accordingly. Trade filters apply after inversion. With invertLS = true and tradeType = LONG, only final longs (post-inversion) are allowed. Strategy vs chart counts. The Tester reports closed trades; your chart shows entries/markers including the latest open trade. This can explain 8 vs 12 discrepancies over short windows. Performance. calc_on_every_tick=false and the backtest limiter keep the script responsive on long histories. Tips: user on mid-volume crypto pair, 1M chart, best MA is: SMMA, Hull, SSMA, DEMA, TEMA. This strategy is for research and education. Markets carry risk; past performance doesn’t guarantee future results. Always forward-test on paper and validate your exchange execution, tick size, and fees before deploying live.
Pine Script® strategy
by pioko62349
Liquidation Strategy💣 Liquidation Strategy (High-Level Overview + Usage) This strategy is built to trade extreme liquidation events on crypto exchanges like Bybit or OKX, using TradingView’s Liquidations indicator as input. 🔧 Core Logic Long entries: Triggered when long liquidation values spike above a set threshold. Short entries: Triggered when short liquidation values drop below a negative threshold. Optional EMA filter ensures liquidation values are significantly above/below their moving average. RSI crossover logic is used to exit trades. 🛠️ Usage Instructions Add the Liquidations Indicator: Go to TradingView → Indicators → Search for “Liquidations” under the Financials section. Select the Correct Chart: Use a chart from Bybit or OKX, as these exchanges provide liquidation data. Link the Data Sources: In the strategy settings, set: Long Liquidation Data to the long liquidation series from the indicator. Short Liquidation Data to the short liquidation series. Overlay the Strategy: You can overlay this strategy directly on the Liquidations indicator for better visual alignment.
Pine Script® strategy
by llbot
RSI Momentum Trend MM with Risk Per Trade [MTF]This is a comprehensive and highly customizable trend-following strategy based on RSI momentum. The core logic identifies strong directional moves when the RSI crosses user-defined thresholds, combined with an EMA trend confirmation. It is designed for traders who want granular control over their strategy's parameters, from signal generation to risk management and exit logic. This script evolves a simple concept into a powerful backtesting tool, allowing you to test various money management and trade management theories across different timeframes. Key Features - RSI Momentum Signals: Uses RSI crosses above a "Positive" level or below a "Negative" level to generate trend signals. An EMA filter ensures entries align with the immediate trend. - Multi-Timeframe (MTF) Analysis: The core RSI and EMA signals can be calculated on a higher timeframe (e.g., using 4H signals to trade on a 1H chart) to align trades with the larger trend. This feature helps to reduce noise and improve signal quality. Advanced Money Management - Risk per Trade %: Calculate position size based on a fixed percentage of equity you want to risk per trade. - Full Equity: A more aggressive option to open each position with 100% of the available strategy equity. Flexible Exit Logic: Choose from three distinct exit strategies to match your trading style - Percentage (%) Based: Set a fixed Stop Loss and Take Profit as a percentage of the entry price. - ATR Multiplier: Base your Stop Loss and Take Profit on the Average True Range (ATR), making your exits adaptive to market volatility. - Trend Reversal: A true trend-following mode. A long position is held until an opposite "Negative" signal appears, and a short position is held until a "Positive" signal appears. This allows you to "let your winners run." Backtest Date Range Filter: Easily configure a start and end date to backtest the strategy's performance during specific market periods (e.g., bull markets, bear markets, or high-volatility periods). How to Use RSI Settings - Higher Timeframe: Set the timeframe for signal calculation. This must be higher than your chart's timeframe. - RSI Length, Positive above, Negative below: Configure the core parameters for the RSI signals. Money Management Position Sizing Mode - Choose "Risk per Trade" to use the Risk per Trade (%) input for precise risk control. - Choose "Full Equity" to use 100% of your capital for each trade. - Risk per Trade (%): Define the percentage of your equity to risk on a single trade (only works with the corresponding sizing mode). SL/TP Calculation Mode Select your preferred exit method from the dropdown. The strategy will automatically use the relevant inputs (e.g., % values, ATR Multiplier values, or the trend reversal logic). Backtest Period Settings Use the Start Date and End Date inputs to isolate a specific period for your backtest analysis. License & Disclaimer © waranyu.trkm — MIT License. This script is for educational purposes only and should not be considered financial advice. Trading involves significant risk, and past performance is not indicative of future results. Always conduct your own research and risk assessment before making any trading decisions.
Pine Script® strategy
by waranyutrkm
W Bottom Reversal Strategy W Bottom Reversal Strategy (15m-close entries; intrabar TP; daily MACD exit; JSON alerts v49.3-expire2) Overview A precision reversal strategy designed for 15-minute charts on liquid symbols. It detects a capitulation-and-stabilization “W” base using 1-hour (1H) context, confirms momentum improvement, then enters only on bar close to avoid early/“ghost” signals. Exits combine a fast intrabar take-profit (~2.7%) with a daily MACD risk-off exit that closes positions when higher-timeframe momentum turns against the setup. How it works (high-level, matching code) 1H volatility + oversold gate (arming) Compute 1H Bollinger-style bands (basis = SMA(close, bbLength=20), stdev multiplier bbMult=2.0). Arm the setup when a 1H bar closes with price < 1H lower band and 1H RSI( rsiLength=14 ) < rsiThreshold (default 20.0). 1H momentum flip → pending entry When a new 1H bar closes and 1H MACD line (EMA12−EMA26) crosses above 0 while armed and flat, set an entryPending flag. This does not enter yet—it prepares a confirmed, bar-close entry on the lower timeframe. Bar-close execution on the chart timeframe (15m) On the next 15m bar close (or within N bars, see below) and still flat, fire the entry using a limit order at close × (1 − 0.00001) (≈ 0.001% below close) to reduce slippage and maintain chart/alert alignment. Anti-late filter (no stale triggers) If the pending entry doesn’t trigger within N chart bars (input: “Pending entry valid for N chart bars”, default 1, range 1–8), it expires and the arm state resets. This prevents late fills long after the 1H confirmation. Exit logic Primary: Standing intrabar take-profit at +2.7% from the average entry price (managed via strategy.exit limit). Risk-off: On daily bar close, if Daily MACD line (EMA12−EMA26) crosses under 0, close the position (flat on daily momentum flip). Default Properties (used for this publication) Timeframe: 15m (with 1H and Daily higher-timeframe confirmations via request.security) Initial capital: $10,000 Position sizing: Percent of equity = 10% per trade (enters only when flat; no stacking while in a position) Commission: 0.05% per side Slippage: Recommend 1 tick in Strategy Properties for realistic fills Inputs exposed: BB Length: 20 • BB Multiplier: 2.0 RSI Length: 14 • RSI Threshold: 20.0 MACD: Short 12, Long 26, Signal 9 (signal kept for compatibility; logic uses MACD line vs 0) Pending entry valid for N chart bars: default 1 (1–8) Execution behavior (per code): calc_on_every_tick = false (evaluates on bar close) process_orders_on_close = true (orders placed at bar close) Limit entry at close −0.001% Intrabar TP (2.7%) Daily risk-off exit on MACD<0 at daily bar close Alerts (exact behavior in code) Uses alert() function calls with standardized JSON. Set your alert to “Only alert() function calls” and “Once per bar close.” Two events are emitted: LONG_CONFIRMED on entry fire (15m bar close) EXIT_CONFIRMED_DAILY_MACD on daily MACD<0 (daily bar close) JSON fields include: event, version ("v49.3-expire2"), symbol, interval, price, and time. How to use Apply on liquid tickers (tight spreads, healthy volume). Keep defaults initially; run across a broad, liquid watchlist to gather a proper sample. For automation, route bar-close alerts to your executor; confirm broker lot/route settings and that limit orders at close −0.001% are acceptable. Expect fewer signals in powerful trends; the daily risk-off helps cut failed bases. Methodology & expectations (results transparency) Evaluate on a dataset yielding 100+ trades before drawing conclusions. Keep commission & slippage enabled (see defaults). Risk sizing: With 10% of equity per trade and flat-to-flat entries, exposure aligns with typical 5–10% guidance. No performance guarantees—outcomes depend on symbol selection, volatility regime, news, and execution quality. Originality & value (vendor justification) While it uses familiar building blocks (BB/RSI/MACD), the edge comes from the 1H volatility + oversold arming, 1H momentum flip, strict 15m bar-close limit execution, and the N-bar pending expiry that prevents stale triggers—paired with a dual-exit design (intrabar TP + daily risk-off). The focus is on reducing premature fills, keeping alerts 1:1 with chart marks, and capturing the first impulse out of a W-base. Disclaimers For educational purposes only; not financial advice. Paper-test first. Verify alerts, fills, and symbol liquidity with your broker before live use. Changelog: v49.3-expire2 — Bar-close limit entries; anti-late pending window; standardized JSON alerts; intrabar 2.7% TP; daily MACD risk-off exit.
Pine Script® strategy
by Zeric_Alpha_Capital_LLC
7Lots v27Lots strategy The strategy is a counter-trend with a return to the moving average. Based on the DCA strategy, but greatly simplified to 7 lots (limit orders) and using the default martingale x2.5 Strategy description Two moving averages are used. The first MA can be used as a filter for opening a position and also closing if the second MA is disabled. If both are enabled, then the position is closed by the second MA, and the first is used as a filter. There is also a separate take profit and if the price does not reach it, the position will be closed when returning to the MA, which will act as a stop loss, but the risk of liquidation is still present since the strategy does not have a regular classic stop loss. Main parameters TP & SL - selection of closing a position only by MA or take profit + MA. If only MA is selected, the strategy ignores the take profit value and always closes the position by MA. MA settings MA length from 1 to 200 Sliding type ALMA, SMA, EMA, VWMA, WMA, RMA MA data - Open, High, Low, Close, HL2, HL3, OHLC4, OC2 MA shift in %. The MA shift is set in % above or below the current prices. For the First MA, this function allows you to use it as a filter for opening a position. For example, if you specify a shift much lower, for example -1% or -2%, then there will be less noise for opening a position, but this affects the number of transactions. DCA group settings Take profit %. Set the take profit as usual, but if the price does not reach the take profit, then the closing will occur by MA when the price returns to its values. Take profit from. There is a choice of take profit from the average position, or by closing the previous bar. The latter increases the profit factor, but also increases the risk of liquidation if the strategy is used on perpetual contracts or futures. Position Entry % - specifies the condition for opening a position. 0% - opening will occur immediately. 2% - opening will occur when the price falls 2% below the bar closing if the Long mode is set. If Short, then vice versa. Grid Scale - classic progressive grid step Next comes the setup of lots as a percentage of the deposit. Simply specify how many percent of each lot will be used from the total deposit. By default, a percentage for each lot is already allocated according to Martingale with a multiplier of x2.5, but you can calculate your own. You can specify 0, then the lot will be disabled. Leverage. By default, 1. Extra lot. This is the 7th lot that I decided to allocate separately from the main grid, since it is not always really needed. And it is calculated from the last lot of the grid. You can set it to how much lower percentage of the last lot to set it for and also what percentage of the deposit it will use. If you trade futures, then this lot, as an auxiliary one, can greatly average the position in case of strong volatility in the market. Next, you can specify the start and end dates of transactions. The table displays the total percentage of the deposit involved in trading at the moment. By default, all lots and leverage are set to 100% deposit load. The table also shows the number of transactions of the last 5-6 lots and extra, so that you can understand how many of them there were throughout the history of trading and possibly draw some conclusions for yourself. Especially useful for extra lots. Max Historical Drawdown (%) shows the historical price drop at the moment from the average open position. This will make it possible to analyze what leverage this strategy could withstand over the entire trading history. The date of this drop is also indicated. For novice traders, it is recommended to use only on spot without the risk of liquidation. It is also best to use large time frames to see the whole picture, but you can also use a minute chart, there are no restrictions, everything is in your hands. Tips. If you use minute charts, it is better to greatly increase the length of the MA from 20 and above. Hourly charts from 1-7. It is better to set up on spot and if you need futures, then use the same settings from spot, but with correction for futures. This strategy does not work well in Short, but shows excellent results for Long even when the market falls. When selecting settings, take into account sharp market fluctuations, Max Historical Drawdown (%) will show you this information in the table. You need to set up from the first MA, when you set up for the best result, then turn on the second MA and transfer the settings of the first MA to the second. Then fine-tune both MAs. The results can increase significantly, but this is not always the case. Sometimes just one MA is enough The strategy is paid, tested with my own experience and money since 2022. Own development for opening a position.
Pine Script® strategy
by Len-in
Gann Fan Strategy [KedarArc Quant]Description A single-concept, rule-based strategy that trades around a programmatic Gann Fan. It anchors to a swing (or a manual point), builds 1×1 and related fan lines numerically, and triggers entries when price interacts with the 1×1 (breakout or bounce). Management is done entirely with the fan structure (next/previous line) plus optional ATR trailing. What TV indicators are used * Pivots: `ta.pivothigh/ta.pivotlow` to confirm swing highs/lows for anchor selection. * ATR: `ta.atr` only to scale the 1×1 slope (optional) and for an optional trailing stop. * EMA: `ta.ema` as a trend filter (e.g., only long above the EMA, short below). No RSI/MACD/Stoch/Heikin/etc. The logic is one coherent framework: Gann price–time geometry, with ATR as a scale and EMA as a risk filter. How it works 1. Anchor * Auto: chooses the most recent *confirmed* pivot (you control Left/Right). * Manual: set a price and bar index and the fan will hold that point (no re-anchoring). * Optional Re-anchor when a newer pivot confirms. 2. 1×1 Slope (numeric, not cosmetic) * ATR mode: `1×1 = ATR(Length) × Multiplier` (adapts to volatility). * Fixed mode: `ticks per bar` (constant slope). Because slope is numeric, it doesn’t change with chart zoom, unlike the drawing tool. 3. Fan Lines Builds classic ratios around the 1×1: 1/8, 1/4, 1/3, 1/2, 1/1, 2/1, 3/1, 4/1, 8/1. 4. Signals * Breakout: cross of price over/under the 1×1 in the EMA-aligned direction. * Bounce (optional): touch + reversal across the 1×1 to reduce whipsaw. 5. Exits & Risk * Take-profit at the next fan line; Stop at the previous fan line. * If a level is missing (right after re-anchor), a fallback Risk-Reward (RR) is used. * Optional ATR trailing stop. Why this is unique * True numeric fan: The 1×1 slope is calculated from ATR or fixed ticks—not from screen geometry—so it is scale-invariant and reproducible across users/timeframes. * Deterministic anchor logic: Uses confirmed pivots (with your L/R settings). No look-ahead; anchors update only when the right bars complete. * Fan-native trade management: Both entries and exits come from the fan structure itself (with a minimal ATR/EMA assist), keeping the method pure. * Two entry archetypes: Breakout for momentum days; Bounce for range days—switchable without changing the core model. * Manual mode: Lock a session’s bias by anchoring to a chosen swing (e.g., day’s first major low/high) and keep the fan constant all day. Inputs (quick guide) * Auto Anchor (Left/Right): pivot sensitivity. Higher values = fewer, stronger anchors. * Re-anchor: refresh to newer pivots as they confirm. * Manual Anchor Price / Bar Index: fixes the fan (turn Auto off). * Scale 1×1 by ATR: on = adaptive; off = use ticks per bar. * ATR Length / ATR Multiplier: controls adaptive slope; start around 14 / 0.25–0.35. * Ticks per bar: exact fixed slope (match a hand-drawn fan by computing slope ÷ mintick). * EMA Trend Filter: e.g., 50–100; trades only in EMA direction. * Use Bounce: require touch + reverse across 1×1 (helps in chop). * TP/SL at fan lines; Fallback RR for missing levels; ATR Trailing Stop optional. * Transparency/Plot EMA: visual preferences. Tips * Range days: larger pivots (L/R 8–12), Bounce ON, ATR Multiplier \~0.30–0.40, EMA 100. * Trend days: L/R 5–6, Breakout, Multiplier \~0.20–0.30, EMA 50, ATR trail 1.0–1.5. * Match the TV Gann Fan drawing: turn ATR scale OFF, set ticks per bar = `(Δprice between anchor and 1×1 target) / (bars) / mintick`. Repainting & testing notes * Pivots require Right bars to confirm; anchors are set after confirmation (no look-ahead). * Signals use the current bar close with TradingView strategy mechanics; real-time vs. bar-close can differ slightly, as with any strategy. * Re-anchoring legitimately moves the structure when new pivots confirm—by design. ⚠️ Disclaimer This script is provided for educational purposes only. Past performance does not guarantee future results. Trading involves risk, and users should exercise caution and use proper risk management when applying this strategy.
Pine Script® strategy
by kedarcquant
Hilly 2.0 Advanced Crypto Scalping Strategy - 1 & 5 Min ChartsHow to Use Copy the Code: Copy the script above. Paste in TradingView: Open TradingView, go to the Pine Editor (bottom of the chart), paste the code, and click “Add to Chart.” Check for Errors: Verify no errors appear in the Pine Editor console. The script uses Pine Script v5 (@version=5). Select Timeframe: 1-Minute Chart: Use defaults (emaFastLen=7, emaSlowLen=14, rsiLen=10, rsiOverbought=80, rsiOversold=20, slPerc=0.5, tpPerc=1.0, useCandlePatterns=false). 5-Minute Chart: Adjust to emaFastLen=9, emaSlowLen=21, rsiLen=14, rsiOverbought=75, rsiOversold=25, slPerc=0.8, tpPerc=1.5, useCandlePatterns=true. Apply to Chart: Use a liquid crypto pair (e.g., BTC/USDT, ETH/USDT on Binance or Coinbase). Verify Signals: Green “BUY” or “EMA BUY” labels and triangle-up arrows below candles. Red “SELL” or “EMA SELL” labels and triangle-down arrows above candles. Green/red background highlights for signal candles. Arrows use size.normal for consistent visibility. Backtest: Use TradingView’s Strategy Tester to evaluate performance over 1–3 months, checking Net Profit, Win Rate, and Drawdown. Demo Test: Run on a demo account to confirm signal visibility and performance before trading with real funds.
Pine Script® strategy
by Hilly1976
Momentum BTC Strategy – EMA & ATR Trend-Following This strategy is designed for Bitcoin trading, using multi-timeframe EMA filters, RSI confirmation, and ATR-based stop-loss logic. It focuses on capturing major trend momentum while scaling into dips for better entries. ⚙️ Features ✅ Higher Timeframe EMA filter for trend confirmation ✅ Dip buying logic with RSI & EMA checks ✅ ATR-based dynamic trailing stop ✅ Works best on 1D timeframe (but testable on 4H) ✅ Designed for spot & perpetual trading 💬 Feedback Wanted This version is published as Protected — you can test it freely, but the source code is hidden. 👉 Please leave a comment with your feedback after testing (performance, improvements, or ideas). Your feedback helps me refine the strategy before moving to Invite-only access. 🔑 Access & Future Plans This script is currently published as Protected, so everyone can use it but the source code is hidden. 📌 In the future, access will switch to Invite-only. 👉 To stay connected and secure access when the Invite-only version launches: Follow me here on TradingView (@alainfr) Contact me on Telegram: @Thai5ow ⚠️ Disclaimer This is not financial advice. Use at your own risk. Always backtest before using with real capital.
Pine Script® strategy
by alainfr
2
Lavender Multi-Signal Momentum StrategyOverview The Lavender strategy is a sophisticated momentum-based trading system specifically optimized for Tesla (TSLA) on the 15-minute timeframe. It combines multiple technical signals to identify high-probability long entries during strong trending conditions. Key Features 🎯 Multi-Signal Entry System The strategy uses 4 distinct signal types that can be enabled/disabled individually: Supertrend Pullback (Default: ON) Identifies pullbacks in uptrends using Supertrend (ATR: 9, Factor: 0.5) Enters when price retests EMA9-20 zone during bullish Supertrend Donchian Breakout + Z-Score Momentum (Default: ON) 53-period Donchian channel breakouts Combined with 35-period Z-Score momentum filter Only triggers with positive momentum confirmation Keltner Squeeze Expansion (Default: OFF) Detects volatility squeeze conditions Enters on breakout above Keltner Channel after compression Opening Range Breakout (ORB) (Default: ON) Tracks first hour range (9:30-10:30 AM) Triggers on breakout above opening range high 🧭 Trend Regime Filter EMA Trend Filter: 20 EMA > 100 EMA (Default: ON) ADX Strength Filter: ADX > 22 with 15/13 smoothing (Default: ON) Only trades when both trend conditions align 💵 Advanced Risk Management Risk per Trade: 2.0% of capital (Default) ATR-Based Stop Loss: 15-period ATR × 1.6 multiplier Risk/Reward Ratio: 4:1 (Default) Position Sizing: Automatic based on stop distance Capital Options: Dynamic equity or fixed capital ($200,000 default) ⚙️ Execution Control Candle Close Entries: Prevents intrabar noise (Default: ON) Candle Close Exits: Stop loss and take profit only at bar close (Default: ON) Trading Session: 9:00 AM - 4:00 PM (Default) Trading Days: Monday-Saturday (Default: 123456) Default Settings Summary ParameterDefault ValuePurposeRisk per Trade2.0%Capital risk percentageATR Length15Stop loss calculationATR Multiplier1.6Stop distance factorRisk/Reward4.0Take profit multiplierEMA Fast20Short-term trendEMA Slow100Long-term trendADX Threshold22Minimum trend strengthMin Signals Required1Entry trigger thresholdInitial Capital$200,000Backtesting capital How It Works Trend Confirmation: Checks EMA alignment and ADX strength Signal Generation: Scans for active momentum signals Entry Execution: Enters when minimum signal threshold is met Risk Management: Calculates position size based on ATR stop Exit Management: Manages trades with 4:1 risk/reward ratio Best Use Cases Tesla (TSLA) on 15-minute charts Trending market conditions Intraday momentum trading Markets with clear directional bias Visual Indicators Blue Line: 100-period EMA (trend filter) Green/Red Line: Supertrend indicator Teal Line: Donchian channel high Purple Triangles: Keltner breakout signals Orange Arrows: Opening range breakouts Green Dots: Combined entry signals Red/Green Lines: Active stop loss and take profit levels Risk Disclaimer This strategy is optimized for Tesla's specific price behavior on 15-minute timeframes. Past performance does not guarantee future results. Always test thoroughly and manage risk appropriately. Created by kevloewe - Specialized for TSLA 15M momentum trading
Pine Script® strategy
by kevloewe
Mikey’s Strategy (AutoEMA+) ⚙️ Core Idea: A long-only EMA crossover strategy that automatically selects the optimal EMA length (5–25) based on historical performance using a custom scoring system. 🎯 Entry Conditions: Price crosses above the selected EMA. (Optional) Price is above HTF EMA200 (higher timeframe trend). (Optional) ADX is above a minimum threshold. (Optional) Volume is above average × multiplier. A cooldown period has passed since the last exit. ❌ Exit Condition: Price closes fully below the EMA (current candle: high, low, and close all below), and the previous candle was above or touched the EMA. 🧠 Auto EMA Selection Logic: Scans EMAs in the range (e.g., 8–21) every N bars. Scores each EMA based on: Time price spent above the EMA Respect for EMA (touches) Trend consistency Distance from EMA (when above) Picks the EMA with the highest valid score, and updates only if it’s significantly better. 🛡️ Risk Management: No pyramiding (1 position max). Cooldown period after exit. No hard stop loss or take profit. 📊 Visuals & Alerts: Plots the selected EMA and optional HTF EMA200. Entry markers and info label on the chart. Alerts for valid entries and filtered signals.
Pine Script® strategy
by Mikey1411
EMA20 Cross Strategy with countertrades and signalsEMA20 Cross Strategy Documentation Overview The EMA20 Cross Strategy with Counter-Trades and Instant Signals is a Pine Script (version 6) trading strategy designed for the TradingView platform. It implements an Exponential Moving Average (EMA) crossover system to generate buy and sell signals, with optional trend filtering, session-based trading, instant signal processing, and visual/statistical feedback. The strategy supports counter-trades (closing opposing positions before entering new ones) and operates with a fixed trade size in EUR. Features EMA Crossover Mechanism: Uses a short-term EMA (configurable length, default: 1) and a long-term EMA (default: 20) to detect crossovers. A buy signal is generated when the short EMA crosses above the long EMA. A sell signal is generated when the short EMA crosses below the long EMA. Instant Signals: If enabled (useInstantSignals), signals are based on the current price crossing the short EMA, rather than waiting for the candle close. This allows faster trade execution but may increase sensitivity to price fluctuations. Trend Filter: Optionally filters trades based on the trend direction (useTrendFilter). Long trades are allowed only when the short EMA (or price, for instant signals) is above the long EMA. Short trades are allowed only when the short EMA (or price) is below the long EMA. Session Filter: Restricts trading to specific market hours (sessionStart, default: 09:00–17:00) if enabled (useSessionFilter). Ensures trades occur only during active market sessions, reducing exposure to low-liquidity periods. Customizable Timeframe: The EMA calculations can use a higher timeframe (e.g., 5m, 15m, 1H, 4H, 1D, default: 1H) via request.security. This allows the strategy to base signals on longer-term trends while operating on a shorter-term chart. Trade Management: Fixed trade size of €100,000 per trade (tradeAmount), with a maximum quantity cap (maxQty = 10,000) to prevent oversized trades. Counter-trades: Closes short positions before entering a long position and vice versa. Trades are executed with a minimum quantity of 1 to ensure valid orders. Visualization: EMA Lines: The short EMA is colored based on the last signal (green for buy, red for sell, gray for neutral), and the long EMA is orange. Signal Markers: Displays buy/sell signals as arrows (triangles) above/below candles if enabled (showSignalShapes). Background/Candle Coloring: Optionally colors the chart background or candles green (bullish) or red (bearish) based on the trend (useColoredBars). Statistics Display: If enabled (useStats), a label on the chart shows: Total closed trades Open trades Win rate (%) Number of winning/losing trades Profit factor (gross profit / gross loss) Net profit Maximum drawdown Configuration Inputs EMA Short Length (emaLength): Length of the short-term EMA (default: 1). Trend EMA Length (trendLength): Length of the long-term EMA (default: 20). Enable Trend Filter (useTrendFilter): Toggles trend-based filtering (default: true). Color Candles (useColoredBars): Colors candles instead of the background (default: true). Enable Session Filter (useSessionFilter): Restricts trading to specified hours (default: false). Trading Session (sessionStart): Defines trading hours (default: 09:00–17:00). Show Statistics (useStats): Displays performance stats on the chart (default: true). Show Signal Arrows (showSignalShapes): Displays buy/sell signals as arrows (default: true). Use Instant Signals (useInstantSignals): Generates signals based on live price action (default: false). EMA Timeframe (emaTimeframe): Timeframe for EMA calculations (options: 5m, 15m, 1H, 4H, 1D; default: 1H). Strategy Logic Signal Generation: Standard Mode: Signals are based on EMA crossovers (short EMA crossing long EMA) at candle close. Instant Mode: Signals are based on the current price crossing the short EMA, enabling faster reactions. Trade Execution: On a buy signal, closes any short position and opens a long position. On a sell signal, closes any long position and opens a short position. Position size is calculated as the minimum of €100,000 or available equity, divided by the current price, capped at 10,000 units. Filters: Trend Filter: Ensures trades align with the trend direction (if enabled). Session Filter: Restricts trades to user-defined market hours (if enabled). Visual Feedback EMA Lines: Provide a clear view of the short and long EMAs, with the short EMA’s color reflecting the latest signal. Signal Arrows: Large green triangles (buy) below candles or red triangles (sell) above candles for easy signal identification. Chart Coloring: Highlights bullish (green) or bearish (red) trends via background or candle colors. Statistics Label: Displays key performance metrics in a label above the chart for quick reference. Usage Notes Initial Capital: €100,000 (configurable via initial_capital). Currency: EUR (set via currency). Order Processing: Orders are processed at candle close (process_orders_on_close=true) unless instant signals are enabled. Dynamic Requests: Allows dynamic timeframe adjustments for EMA calculations (dynamic_requests=true). Platform: Designed for TradingView, compatible with any market supported by the platform (e.g., stocks, forex, crypto). Example Use Case Scenario: Trading on a 5-minute chart with a 1-hour EMA timeframe, trend filter enabled, and session filter set to 09:00–17:00. Behavior: The strategy will: Calculate EMAs on the 1-hour timeframe. Generate buy signals when the short EMA crosses above the long EMA (and price is above the long EMA). Generate sell signals when the short EMA crosses below the long EMA (and price is below the long EMA). Execute trades only during 09:00–17:00. Display green/red candles and performance stats on the chart. Limitations Instant Signals: May lead to more frequent signals, increasing the risk of false positives in volatile markets. Fixed Trade Size: Does not adjust dynamically based on market conditions beyond equity and max quantity limits. Session Filter: Simplified and may not account for complex session rules or holidays. Statistics: Displayed on-chart, which may clutter the view in smaller charts. Customization Adjust emaLength and trendLength to suit different market conditions (e.g., shorter for scalping, longer for swing trading). Toggle useInstantSignals for faster or more stable signal generation. Modify sessionStart to align with specific market hours. Disable useStats or showSignalShapes for a cleaner chart. This strategy is versatile for both manual and automated trading, offering flexibility for various markets and trading styles while providing clear visual and statistical feedback.
Pine Script® strategy
by osterhansi_
Optimized ADX DI CCI Strategy### Key Features: - Combines ADX, DI+/-, CCI, and RSI for signal generation. - Supports customizable timeframes for indicators. - Offers multiple exit conditions (Moving Average cross, ADX change, performance-based stop-loss). - Tracks and displays trade statistics (e.g., win rate, capital growth, profit factor). - Visualizes trades with labels and optional background coloring. - Allows countertrading (opening an opposite trade after closing one). 1. **Indicator Calculation**: - **ADX and DI+/-**: Calculated using the `ta.dmi` function with user-defined lengths for DI and ADX smoothing. - **CCI**: Computed using the `ta.cci` function with a configurable source (default: `hlc3`) and length. - **RSI (optional)**: Calculated using the `ta.rsi` function to filter overbought/oversold conditions. - **Moving Averages**: Used for CCI signal smoothing and trade exits, with support for SMA, EMA, SMMA (RMA), WMA, and VWMA. 2. **Signal Generation**: - **Buy Signal**: Triggered when DI+ > DI- (or DI+ crosses over DI-), CCI > MA (or CCI crosses over MA), and optional ADX/RSI filters are satisfied. - **Sell Signal**: Triggered when DI+ < DI- (or DI- crosses over DI+), CCI < MA (or CCI crosses under MA), and optional ADX/RSI filters are satisfied. 3. **Trade Execution**: - **Entry**: Long or short trades are opened using `strategy.entry` when signals are detected, provided trading is allowed (`allow_long`/`allow_short`) and equity is positive. - **Exit**: Trades can be closed based on: - Opposite signal (if no other exit conditions are used). - MA cross (price crossing below/above the exit MA for long/short trades). - ADX percentage change exceeding a threshold. - Performance-based stop-loss (trade loss exceeding a percentage). - **Countertrading**: If enabled, closing a trade triggers an opposite trade (e.g., closing a long opens a short). 4. **Visualization**: - Labels are plotted at trade entries/exits (e.g., "BUY," "SELL," arrows). - Optional background coloring highlights open trades (green for long, red for short). - A statistics table displays real-time metrics (e.g., capital, win rates). 5. **Trade Tracking**: - Tracks the number of long/short trades, wins, and overall performance. - Monitors equity to prevent trading if it falls to zero. ### 2.3 Key Components - **Indicator Calculations**: Uses `request.security` to fetch indicator data for the specified timeframe. - **MA Function**: A custom `ma_func` handles different MA types for CCI and exit conditions. - **Signal Logic**: Combines crossover/under checks with recent bar windows for flexibility. - **Exit Conditions**: Multiple configurable exit strategies for risk management. - **Statistics Table**: Updates dynamically with trade and capital metrics. ## 3. Configuration Options The script provides extensive customization through input parameters, grouped for clarity in the TradingView settings panel. Below is a detailed breakdown of each setting and its impact. ### 3.1 Strategy Settings (Global) - **Initial Capital**: Default `10000`. Sets the starting capital for backtesting. - **Effect**: Determines the base equity for calculating position sizes and performance metrics. - **Default Quantity Type**: `strategy.percent_of_equity` (50% of equity). - **Effect**: Controls the size of each trade as a percentage of available equity. - **Pyramiding**: Default `2`. Allows up to 2 simultaneous trades in the same direction. - **Effect**: Enables multiple entries if conditions are met, increasing exposure. - **Commission**: 0.2% per trade. - **Effect**: Simulates trading fees, reducing net profit in backtesting. - **Margin**: 100% for long and short trades. - **Effect**: Assumes no leverage; adjust for margin trading simulations. - **Calc on Every Tick**: `true`. - **Effect**: Ensures real-time signal updates for precise execution. ### 3.2 Indicator Settings - **Indicator Timeframe** (`indicator_timeframe`): - **Options**: `""` (chart timeframe), `1`, `5`, `15`, `30`, `60`, `240`, `D`, `W`. - **Default**: `""` (uses chart timeframe). - **Effect**: Determines the timeframe for ADX, DI, CCI, and RSI calculations. A higher timeframe reduces noise but may delay signals. ### 3.3 ADX & DI Settings - **DI Length** (`adx_di_len`): - **Default**: `30`. - **Range**: Minimum `1`. - **Effect**: Sets the period for calculating DI+ and DI-. Longer periods smooth trends but reduce sensitivity. - **ADX Smoothing Length** (`adx_smooth_len`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Smooths the ADX calculation. Longer periods produce smoother ADX values. - **Use ADX Filter** (`use_adx_filter`): - **Default**: `false`. - **Effect**: If `true`, requires ADX to exceed the threshold for signals to be valid, filtering out weak trends. - **ADX Threshold** (`adx_threshold`): - **Default**: `25`. - **Range**: Minimum `0`. - **Effect**: Sets the minimum ADX value for valid signals when the filter is enabled. Higher values restrict trades to stronger trends. ### 3.4 CCI Settings - **CCI Length** (`cci_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for CCI calculation. Longer periods reduce noise but may lag. - **CCI Source** (`cci_src`): - **Default**: `hlc3` (average of high, low, close). - **Effect**: Defines the price data for CCI. `hlc3` is standard, but users can choose other sources (e.g., `close`). - **CCI MA Type** (`ma_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the moving average type for CCI signal smoothing. EMA is more responsive; VWMA weights by volume. - **CCI MA Length** (`ma_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the CCI MA. Longer periods smooth the MA but may delay signals. ### 3.5 RSI Filter Settings - **Use RSI Filter** (`use_rsi_filter`): - **Default**: `false`. - **Effect**: If `true`, applies RSI-based overbought/oversold filters to signals. - **RSI Length** (`rsi_length`): - **Default**: `14`. - **Range**: Minimum `1`. - **Effect**: Sets the period for RSI calculation. Longer periods reduce sensitivity. - **RSI Lower Limit** (`rsi_lower_limit`): - **Default**: `30`. - **Range**: `0` to `100`. - **Effect**: Defines the oversold threshold for buy signals. Lower values allow trades in more extreme conditions. - **RSI Upper Limit** (`rsi_upper_limit`): - **Default**: `70`. - **Range**: `0` to `100`. - **Effect**: Defines the overbought threshold for sell signals. Higher values allow trades in more extreme conditions. ### 3.6 Signal Settings - **Cross Window** (`cross_window`): - **Default**: `0`. - **Range**: `0` to `5` bars. - **Effect**: Specifies the lookback period for detecting DI+/- or CCI crosses. `0` requires crosses on the current bar; higher values allow recent crosses, increasing signal frequency. - **Allow Long Trades** (`allow_long`): - **Default**: `true`. - **Effect**: Enables/disables new long trades. If `false`, only closing existing longs is allowed. - **Allow Short Trades** (`allow_short`): - **Default**: `true`. - **Effect**: Enables/disables new short trades. If `false`, only closing existing shorts is allowed. - **Require DI+/DI- Cross for Buy** (`buy_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI+ crossover DI- for buy signals; if `false`, DI+ > DI- is sufficient. - **Require CCI Cross for Buy** (`buy_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossover MA for buy signals; if `false`, CCI > MA is sufficient. - **Require DI+/DI- Cross for Sell** (`sell_di_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a DI- crossover DI+ for sell signals; if `false`, DI+ < DI- is sufficient. - **Require CCI Cross for Sell** (`sell_cci_cross`): - **Default**: `true`. - **Effect**: If `true`, requires a CCI crossunder MA for sell signals; if `false`, CCI < MA is sufficient. - **Countertrade** (`countertrade`): - **Default**: `true`. - **Effect**: If `true`, closing a trade triggers an opposite trade (e.g., close long, open short) if allowed. - **Color Background for Open Trades** (`color_background`): - **Default**: `true`. - **Effect**: If `true`, colors the chart background green for long trades and red for short trades. ### 3.7 Exit Settings - **Use MA Cross for Exit** (`use_ma_exit`): - **Default**: `true`. - **Effect**: If `true`, closes trades when the price crosses the exit MA (below for long, above for short). - **MA Length for Exit** (`ma_exit_length`): - **Default**: `20`. - **Range**: Minimum `1`. - **Effect**: Sets the period for the exit MA. Longer periods delay exits. - **MA Type for Exit** (`ma_exit_type`): - **Options**: `SMA`, `EMA`, `SMMA (RMA)`, `WMA`, `VWMA`. - **Default**: `SMA`. - **Effect**: Determines the MA type for exit signals. EMA is more responsive; VWMA weights by volume. - **Use ADX Change Stop-Loss** (`use_adx_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the ADX changes by a specified percentage. - **ADX % Change for Stop-Loss** (`adx_change_percent`): - **Default**: `5.0`. - **Range**: Minimum `0.0`, step `0.1`. - **Effect**: Specifies the percentage change in ADX (vs. previous bar) that triggers a stop-loss. Higher values reduce premature exits. - **Use Performance Stop-Loss** (`use_perf_stop`): - **Default**: `false`. - **Effect**: If `true`, closes trades when the loss exceeds a percentage threshold. - **Performance Stop-Loss (%)** (`perf_stop_percent`): - **Default**: `-10.0`. - **Range**: `-100.0` to `0.0`, step `0.1`. - **Effect**: Specifies the loss percentage that triggers a stop-loss. More negative values allow larger losses before exiting. ## 4. Visual and Statistical Output - **Labels**: Displayed at trade entries/exits with arrows (↑ for buy, ↓ for sell) and text ("BUY," "SELL"). A "No Equity" label appears if equity is zero. - **Background Coloring**: Optionally colors the chart background (green for long, red for short) to indicate open trades. - **Statistics Table**: Displayed at the top center of the chart, updated on timeframe changes or trade events. Includes: - **Capital Metrics**: Initial capital, current capital, capital growth (%). - **Trade Metrics**: Total trades, long/short trades, win rate, long/short win rates, profit factor. - **Open Trade Status**: Indicates if a long, short, or no trade is open. ## 5. Alerts - **Buy Signal Alert**: Triggered when `buy_signal` is true ("Cross Buy Signal"). - **Sell Signal Alert**: Triggered when `sell_signal` is true ("Cross Sell Signal"). - **Usage**: Users can set up TradingView alerts to receive notifications for trade signals.
Pine Script® strategy
by osterhansi_
AlphaFlow — Direcional Pro [Strategy] — Risk % & Dynamic EquityAlphaFlow is a directional strategy designed to capture trend shifts using a dual moving average system, enhanced with RSI and ATR regime filters, and a long-term EMA filter for confirmation. Key Features Dynamic Position Sizing: Risk per trade is based on a fixed % of account equity, with optional dynamic equity growth. Stop-Loss Options: Choose between ATR-based stop or swing-point stop. Trade Management: TP1 is placed at a user-defined risk multiple (R). Once TP1 is hit, an optional ATR trailing stop activates until TP2 is reached or the stop is triggered. Visual Tools: Fast/slow EMAs, long EMA, ATR channels, and optional divergence markers for context (do not affect entries). Backtest Ready: Includes configurable commission, capital, and position sizing. Use Case This strategy is built for traders who want systematic trend-following entries with structured risk management. Its modular inputs allow adaptation across assets and timeframes. ⚠️ Disclaimer: Past performance does not guarantee future results. Always validate parameters before live use.
Pine Script® strategy
by BFAS76
1