Cyber MondayDESCUENTOS hasta 80 %

Bandas y canales

ES-VIX Daily Price BandsES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Low + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily High - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's extremes. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's low Lower band (red) contracts from the current day's high Shaded zone between bands for visual clarity Information table displaying: Current ES price and VIX level Running daily high and low Current upper and lower band values
Indicador Pine Script®
por alanjeremiebarbe
SNP420/INDI/support_resist_future_levelFunctionality – short description The indicator automatically detects the latest pivot highs/lows and builds the current resistance and support levels from them. New levels start as candidate levels (dotted lines). Using an ATR-based tolerance, it counts how many times price precisely tests and rejects the level (touch + reversal). Once the minimum number of touches is reached, the level is marked as validated (solid line). The indicator also detects breakouts of S/R, colors breakout candles, projects a target level after the breakout, and highlights retests of the broken levels with boxes. autor: SNP_420 project: FNXS ps: Piece a love
Indicador Pine Script®
por SNP_420
Third eye • StrategyThird eye • Strategy – User Guide 1. Idea & Concept Third eye • Strategy combines three things into one system: Ichimoku Cloud – to define market regime and support/resistance. Moving Average (trend filter) – to trade only in the dominant direction. CCI (Commodity Channel Index) – to generate precise entry signals on momentum breakouts. The script is a strategy, not an indicator: it can backtest entries, exits, SL, TP and BreakEven logic automatically. 2. Indicators Used 2.1 Ichimoku Standard Ichimoku settings (by default 9/26/52/26) are used: Conversion Line (Tenkan-sen) Base Line (Kijun-sen) Leading Span A & B (Kumo Cloud) Lagging Span is calculated but hidden from the chart (for visual simplicity). From the cloud we derive: kumoTop – top of the cloud under current price. kumoBottom – bottom of the cloud under current price. Flags: is_above_kumo – price above the cloud. is_below_kumo – price below the cloud. is_in_kumo – price inside the cloud. These conditions are used as trend / regime filters and for stop-loss & trailing stops. 2.2 Moving Average You can optionally display and use a trend MA: Types: SMA, EMA, DEMA, WMA Length: configurable (default 200) Source: default close Filter idea: If MA Direction Filter is ON: When Close > MA → strategy allows only Long signals. When Close < MA → strategy allows only Short signals. The MA is plotted on the chart (if enabled). 2.3 CCI & Panel The CCI (Commodity Channel Index) is used for entry timing: CCI length and source are configurable (default length 20, source hlc3). Two thresholds: CCI Upper Threshold (Long) – default +100 CCI Lower Threshold (Short) – default –100 Signals: Long signal: CCI crosses up through the upper threshold cci_val < upper_threshold and cci_val > upper_threshold Short signal: CCI crosses down through the lower threshold cci_val > lower_threshold and cci_val < lower_threshold There is a panel (table) in the bottom-right corner: Shows current CCI value. Shows filter status as colored dots: Green = filter enabled and passed. Red = filter enabled and blocking trades. Gray = filter is disabled. Filters shown in the panel: Ichimoku Cloud filter (Long/Short) Ichimoku Lines filter (Conversion/Base vs Cloud) MA Direction filter 3. Filters & Trade Direction All filters can be turned ON/OFF independently. 3.1 Ichimoku Cloud Filter Purpose: trade only when price is clearly above or below the Kumo. Long Cloud Filter (Use Ichimoku Cloud Filter) – when enabled: Long trades only if close > cloud top. Short Cloud Filter – when enabled: Short trades only if close < cloud bottom. If the cloud filter is disabled, this condition is ignored. 3.2 Ichimoku Lines Above/Below Cloud Purpose: stronger trend confirmation: Ichimoku lines should also be on the “correct” side of the cloud. Long Lines Filter: Long allowed only if Conversion Line and Base Line are both above the cloud. Short Lines Filter: Short allowed only if both lines are below the cloud. If this filter is OFF, the conditions are not checked. 3.3 MA Direction Filter As described above: When ON: Close > MA → only Longs. Close < MA → only Shorts. 4. Anti-Re-Entry Logic (Cloud Touch Reset) The strategy uses internal flags to avoid continuous re-entries in the same direction without a reset. Two flags: allowLong allowShort After a Long entry, allowLong is set to false, allowShort to true. After a Short entry, allowShort is set to false, allowLong to true. Flags are reset when price touches the Kumo: If Low goes into the cloud → allowLong = true If High goes into the cloud → allowShort = true If Close is inside the cloud → both allowLong and allowShort are set to true There is a key option: Wait Position Close Before Flag Reset If ON: cloud touch will reset flags only when there is no open position. If OFF: flags can be reset even while a trade is open. This gives a kind of regime-based re-entry control: after a trend leg, you wait for a “cloud interaction” to allow new signals. 5. Risk Management All risk management is handled inside the strategy. 5.1 Position Sizing Order Size % of Equity – default 10% The strategy calculates: position_value = equity * (Order Size % / 100) position_qty = position_value / close So position size automatically adapts to your current equity. 5.2 Take Profit Modes You can choose one of two TP modes: Percent Fibonacci 5.2.1 Percent Mode Single Take Profit at X% from entry (default 2%). For Long: TP = entry_price * (1 + tp_pct / 100) For Short: TP = entry_price * (1 - tp_pct / 100) One strategy.exit per side is used: "Long TP/SL" and "Short TP/SL". 5.2.2 Fibonacci Mode (2 partial TPs) In this mode, TP levels are based on a virtual Fib-style extension between entry and stop-loss. Inputs: Fib TP1 Level (default 1.618) Fib TP2 Level (default 2.5) TP1 Share % (Fib) (default 50%) TP2 share is automatically 100% - TP1 share. Process for Long: Compute a reference Stop (see SL section below) → sl_for_fib. Compute distance: dist = entry_price - sl_for_fib. TP levels: TP1 = entry_price + dist * (Fib TP1 Level - 1) TP2 = entry_price + dist * (Fib TP2 Level - 1) For Short, the logic is mirrored. Two exits are used: TP1 – closes TP1 share % of position. TP2 – closes remaining TP2 share %. Same stop is used for both partial exits. 5.3 Stop-Loss Modes You can choose one of three Stop Loss modes: Stable – fixed % from entry. Ichimoku – fixed level derived from the Kumo. Ichimoku Trailing – dynamic SL following the cloud. 5.3.1 Stable SL For Long: SL = entry_price * (1 - Stable SL % / 100) For Short: SL = entry_price * (1 + Stable SL % / 100) Used both for Percent TP mode and as reference for Fib TP if Kumo is not available. 5.3.2 Ichimoku SL (fixed, non-trailing) At the time of a new trade: For Long: Base SL = cloud bottom minus small offset (%) For Short: Base SL = cloud top plus small offset (%) The offset is configurable: Ichimoku SL Offset %. Once computed, that SL level is fixed for this trade. 5.3.3 Ichimoku Trailing SL Similar to Ichimoku SL, but recomputed each bar: For Long: SL = cloud bottom – offset For Short: SL = cloud top + offset A red trailing SL line is drawn on the chart to visualize current stop level. This trailing SL is also used as reference for BreakEven and for Fib TP distance. 6. BreakEven Logic (with BE Lines) BreakEven is optional and supports two modes: Percent Fibonacci Inputs: Percent mode: BE Trigger % (from entry) – move SL to BE when price goes this % in profit. BE Offset % from entry – SL will be set to entry ± this offset. Fibonacci mode: BE Fib Level – Fib level at which BE will be activated (default 1.618, same style as TP). BE Offset % from entry – how far from entry to place BE stop. The logic: Before BE is triggered, SL follows its normal mode (Stable/Ichimoku/Ichimoku Trailing). When BE triggers: For Long: New SL = max(current SL, BE SL). For Short: New SL = min(current SL, BE SL). This means BE will never loosen the stop – only tighten it. When BE is activated, the strategy draws a violet horizontal line at the BreakEven level (once per trade). BE state is cleared when the position is closed or when a new position is opened. 7. Entry & Exit Logic (Summary) 7.1 Long Entry Conditions for a Long: CCI signal: CCI crosses up through the upper threshold. Ichimoku Cloud Filter (optional): If enabled → price must be above the Kumo. Ichimoku Lines Filter (optional): If enabled → Conversion Line and Base Line must be above the Kumo. MA Direction Filter (optional): If enabled → Close must be above the chosen MA. Anti-re-entry flag: allowLong must be true (cloud-based reset). Position check: Long entries are allowed when current position size ≤ 0 (so it can also reverse from short to long). If all these conditions are true, the strategy sends: strategy.entry("Long", strategy.long, qty = calculated_qty) After entry: allowLong = false allowShort = true 7.2 Short Entry Same structure, mirrored: CCI signal: CCI crosses down through the lower threshold. Cloud filter: price must be below cloud (if enabled). Lines filter: conversion & base must be below cloud (if enabled). MA filter: Close must be below MA (if enabled). allowShort must be true. Position check: position size ≥ 0 (allows reversal from long to short). Then: strategy.entry("Short", strategy.short, qty = calculated_qty) Flags update: allowShort = false allowLong = true 7.3 Exits While in a position: The strategy continuously recalculates SL (depending on chosen mode) and, in Percent mode, TP. In Fib mode, fixed TP levels are computed at entry. BreakEven may raise/tighten the SL if its conditions are met. Exits are executed via strategy.exit: Percent mode: one TP+SL exit per side. Fib mode: two partial exits (TP1 and TP2) sharing the same SL. At position open, the script also draws visual lines: White line — entry price. Green line(s) — TP level(s). Red line — SL (if not using Ichimoku Trailing; with trailing, the red line is updated dynamically). Maximum of 30 lines are kept to avoid clutter. 8. How to Use the Strategy Choose market & timeframe Works well on trending instruments. Try crypto, FX or indices on H1–H4, or intraday if you prefer more trades. Adjust Ichimoku settings Keep defaults (9/26/52/26) or adapt to your timeframe. Configure Moving Average Typical: EMA 200 as a trend filter. Turn MA Direction Filter ON if you want to trade only with the main trend. Set CCI thresholds Default ±100 is classic. Lower thresholds → more signals, higher noise. Higher thresholds → fewer but stronger signals. Enable/disable filters Turn on Ichimoku Cloud and Ichimoku Lines if you want only “clean” trend trades. Use Wait Position Close Before Flag Reset to control how often re-entries are allowed. Choose TP & SL mode Percent mode is simpler and easier to understand. Fibonacci mode is more advanced: it aligns TP levels with the distance to stop, giving asymmetric RR setups (two partial TPs). Choose Stable SL for fixed-risk trades, or Ichimoku / Ichimoku Trailing to tie stops to the cloud structure. Set BreakEven Enable BE if you want to lock in risk-free trades after a certain move. Percent mode is straightforward; Fib mode keeps BreakEven in harmony with your Fib TP setup. Run Backtest & Optimize Press “Add to chart” → go to Strategy Tester. Adjust parameters to your market and timeframe. Look at equity curve, PF, drawdown, average trade, etc. Live / Paper Trading After you’re satisfied with backtest results, use the strategy to generate signals. You can mirror entries/exits manually or connect them to alerts (if you build an alert-based execution layer).
Estrategia Pine Script®
por RezzoRedPriest
3
SymFlex Band - MAD, RSI, ATRThe SymFlex Band is an adaptive volatility and momentum framework that merges three independent band models into a unified analytical tool. • The MAD Band measures deviation from the moving average using Median Absolute Deviation, providing a stable view of range-based volatility. • The RSI Momentum Band adjusts its upper and lower boundaries asymmetrically, expanding in the direction of momentum and contracting against it. • The ATR Band captures classical volatility expansion for breakout and trend-continuation conditions. Rather than placing the three indicators separately on a chart, the script synchronizes their center-line logic, compares their band distances, identifies the nearest active band, and displays real-time correlation between their dynamic ranges. This structure helps traders understand whether price behavior is dominated by range compression, momentum imbalance, or volatility expansion. The table summarizes: • active band ranges • breakout status • distance from each band • cross-band correlation This indicator is designed purely for analysis. It does not generate trade entries.
Indicador Pine Script®
por surirang
GOLD TAS/TAM (Cartoon_Futures)Highlights the 5min close range around the TAM and TAS times of gold. it works on 5min charts and belwo. it works on the 5min candle close, not the vwap per true cme TAS and TAM calculations. you need to move to 1min and adjust preset times to get the proper london settlements CME times NY TAS: Sun-Fri 6:00 p.m. - 1:30 p.m. ET (5:00 - 12:30 CT) Central time TAM: Asia TAM: Sun - Frid 6:00 p.m. ET - 3:30 p.m. China London a.m. TAM: Sun-Fri 6:00 p.m. ET - 10:32 a.m. London London p.m.: TAM Sun-Fri 6:00 p.m. ET - 3:02 p.m. London
Indicador Pine Script®
por Cartoon_Futures
Adaptive Trend Mapper-ATM (Arjo)Adaptive Trend Mapper (ATM) is a multi-factor trend, momentum, and compression-analysis tool designed to help traders visually map the strength and direction of market pressure. Instead of simply combining existing indicators, ATM creates a new composite framework that blends momentum imbalance, directional strength, volatility contraction, and adaptive smoothing into a single, unified model. Originality and usefulness Adaptive Trend Mapper (ATM) does not replicate any one indicator. It generates two custom indices— Bull Pressure Index and Bear Pressure Index —derived from a mathematical combination of RSI, inverse-RSI, and ADX. These indices behave differently from traditional oscillators: They represent directional pressure on a 0–100 scale , not momentum. They are designed to converge/diverge, forming a basis for the built-in Squeeze Detection Engine. They can be optionally step-compressed , making the movement easier to read on fast or small charts. The script also integrates a custom SuperSmoother trend model (not TradingView’s built-in function), which acts as an adaptive trend curve on the chart. All calculations are combined intentionally—not as a mashup—to create a framework that allows traders to understand trend strength, compression phases, and micro-trend shifts in one place. How the Indicator Works 1. Bull & Bear Pressure Indices: These indices measure directional imbalance: Bull Index = ADX strength weighted against inverse-RSI Bear Index = ADX strength weighted against normal RSI This produces two opposing pressure curves that rise or fall depending on whether buyers or sellers dominate. You can optionally smooth these using: SMA / EMA / WMA / RMA via the “Smoothing Settings” panel. 2. Squeeze & Compression Detection: A squeeze is detected when: ADX stays below a user-defined threshold Bull–Bear Index difference shrinks Average difference is falling (convergence) This is a volatility-contraction model inspired by squeeze logic but applied to directional pressure, not Bollinger Bands/Keltner Channels . 3. Adaptive Trend Curve (SuperSmoother Engine) The indicator applies a two-pole SuperSmoother filter to the price, then smooths it again using EMA. The slope color flips between bullish and bearish and is displayed using: A thin SuperSmoother curve A thicker band for visual context 4. EMA-50 Trend Context: An optional EMA-50 helps identify broad directional bias . 5. Step-Based Scaling You can quantize the Bull/Bear indices using custom step intervals. This makes the indicator easier to read on noisy intraday charts. How to Use the Indicator 1. Trend Analysis A rising Bull Index shows strengthening upward pressure A rising Bear Index shows strengthening downward pressure Wide divergence between the indices signals a strong trend 2. Compression / Squeeze Analysis Yellow background = volatility compression + pressure convergence Breakouts from this zone often precede directional expansion 3. Trendline Reading SuperSmoother line color flip = micro trend shift EMA-50 slope gives macro-trend direction Perfect for combining trend and momentum maps on the same chart 4. Visual Interpretation Cyan/teal → strong bullish pressure Purple/red/orange → various levels of bearish control Neutral/teal background → weak ADX Yellow background → squeeze zone Open-Source Notes This script uses: TradingView built-in RSI, ADX/DMI, and smoothing functions A SuperSmoother implementation based on known DSP filter coefficients All remaining logic, signal methods, composite indices, and compression model are original developments by ARJO . The script is published open-source to comply with TradingView’s reuse policy. Disclaimer This tool is for educational and analytical purposes only. It does not generate buy or sell signals. Always use proper risk management. Happy Trading (ARJO)
Indicador Pine Script®
por ARJO_2019
NQ-VIX Expected Move LevelsNQ -VIX Daily Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (NQ Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (NQ Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current NQ price and VIX level Daily Open Expected move
Indicador Pine Script®
por alanjeremiebarbe
NQ-VIX Expected Move LTF LevelsNQ -VIX LTF Price Bands This indicator plots dynamic intraday price bands for NQ futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (NQ Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current NQ price and VIX level Current input TF Open Expected move
Indicador Pine Script®
por alanjeremiebarbe
ES-VIX Expected Move LTF LevelsES-VIX LTF Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = (Input TF Open) + (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 Lower Band = Daily Open - (ES Price × VIX x √(Input TF ÷ (23h in min) ) ÷ 100 The calculation uses the square root of Input TF ÷ (23h in min) to convert annualized VIX volatility into an expected TF move, then scales it as a percentage adjustment from the current TF input's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current TF's open Lower band (red) contracts from the current TF's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current input TF Current ES price and VIX level Current input TF Open Expected move
Indicador Pine Script®
por alanjeremiebarbe
Bitcoin Power Law Zones (Dunk)Introduction When viewed on a standard linear chart, Bitcoin’s long-term price action can appear chaotic and exponential. However, when analyzed through the lens of physics and network growth models, a distinct structure emerges. This indicator implements the Bitcoin Power Law , a mathematical model that suggests Bitcoin’s price evolves in a straight line when plotted against time on a "log-log" scale. By calculating parallel bands around this regression line, we create a "Rainbow" of valuation zones that help investors visualize whether the asset is historically overheated, undervalued, or sitting at fair value. The Math Behind the Model The Power Law dictates that price scales with time according to the formula: Price = A * (days since genesis)^b This script uses the specific parameters popularized by recent physics-based analyses of the network: Slope (b): 5.78 (Representing the scaling law of the network adoption). Amplitude (A): 1.45 x 10^-17 (The intercept coefficient). While simple moving averages react to price, this model is predictive based on time and network growth physics, providing a long-term "gravity" center for the asset. Guide to the Valuation Zones Upper Bands (Red/Orange): Extr. Overvalued, High Premium, Overvalued. Historically, these zones have marked cycle peaks where price moved too far, too fast ahead of the network's steady growth. The Baseline (Black Line): Fair Value. The mathematical mean of the Power Law. Price has historically oscillated around this line, treating it as a center of gravity. Lower Bands (Green/Blue): Undervalued, Discount, Deep Discount. These zones represent periods where the market price has historically lagged behind the network's intrinsic value, often marking accumulation phases. Note: The lowest theoretical tiers ("Bitcoin Dead") have been trimmed from this chart to focus on relevant historical support levels. How to Use Logarithmic Scale: You MUST set your chart to "Log" scale (bottom right of the TradingView window) for this indicator to function correctly. On a linear chart, the bands will appear to curve upwards aggressively; on a Log chart, they will appear as smooth, parallel channels. Timeframe: This is a macro-economic indicator. It is best viewed on Daily or Weekly timeframes. Overlay Labels: The indicator includes dynamic labels on the right-side axis, allowing you to instantly see the current price requirements for each valuation zone without manually tracing lines. Credits This script is based on the Power Law theory popularized by Giovanni Santostasi and the original Corridor concepts by Harold Christopher Burger . Disclaimer This tool is for educational and informational purposes only. It visualizes historical mathematical trends and does not constitute financial advice. Past performance of a model is not indicative of future results. Further Reading www.hcburger.com giovannisantostasi.medium.com
Indicador Pine Script®
por dunk-devs
Zig Zag & Trendlines with Dynamic Threshold ATRPercentage Zig Zag with Dynamic Threshold This Pine Script indicator is an advanced Zig Zag tool that identifies and tracks price pivots based on a percentage move required for reversal, offering a clear visual representation of volatility-adjusted trends. Core Functionality (The Reversal Threshold): Unlike standard Zig Zag indicators that use a fixed price difference, this indicator calculates the required reversal size (%X) dynamically using the Average True Range (ATR). It calculates the ATR as a percentage of the current price (ATR%). The final threshold is this ATR% multiplied by a user-defined factor (default 3x). This means the reversal threshold is wider during volatile periods and narrower during quiet periods, adapting automatically to market conditions. Users can optionally revert to a fixed percentage if desired. Trend Extension Lines: The indicator draws two unique, dynamic trend lines connecting the last two significant Highs and the last two significant Lows. Crucially, these lines do not wait for the entire Zig Zag leg to confirm: If the price is actively forming a new up-leg, the High Extension Line connects the last confirmed High to the current extreme high of the active move. The Low Extension Line functions similarly for the downtrend. This feature allows the user to visualize dynamic support and resistance levels based on the current, active trend structure defined by the percentage threshold.
Indicador Pine Script®
por isatolu
Grok/Claude Turtle Soup Strategy # 🥣 Turtle Soup Strategy (Enhanced) ## A Mean-Reversion Strategy Based on Failed Breakouts --- ## Historical Origins ### The Original Turtle Traders (1983-1988) The Turtle Trading system is one of the most famous experiments in trading history. In 1983, legendary commodities trader **Richard Dennis** made a bet with his partner **William Eckhardt** about whether great traders were born or made. Dennis believed trading could be taught; Eckhardt believed it was innate. To settle the debate, Dennis recruited 23 ordinary people through newspaper ads—including a professional blackjack player, a fantasy game designer, and an accountant—and taught them his trading system in just two weeks. He called them "Turtles" after turtle farms he had visited in Singapore, saying *"We are going to grow traders just like they grow turtles in Singapore."* The results were extraordinary. Over the next five years, the Turtles reportedly earned over **$175 million in profits**. The experiment proved Dennis right: trading could indeed be taught. #### The Original Turtle Rules: - **Entry:** Buy when price breaks above the 20-day high (System 1) or 55-day high (System 2) - **Exit:** Sell when price breaks below the 10-day low (System 1) or 20-day low (System 2) - **Stop Loss:** 2x ATR (Average True Range) from entry - **Position Sizing:** Based on volatility (ATR) - **Philosophy:** Pure trend-following—catch big moves by riding breakouts The Turtle system was a **trend-following** strategy that assumed breakouts would lead to sustained trends. It worked brilliantly in trending markets but suffered during choppy, range-bound conditions. --- ### The Turtle Soup Strategy (1990s) In the 1990s, renowned trader **Linda Bradford Raschke** (along with Larry Connors) observed something interesting: many of the breakouts that the Turtle system traded actually *failed*. Price would spike above the 20-day high, trigger Turtle buy orders, then immediately reverse—trapping the breakout traders. Raschke realized these failed breakouts were predictable and tradeable. She developed the **Turtle Soup** strategy, which does the *exact opposite* of the original Turtle system: > *"Instead of buying the breakout, we wait for it to fail—then fade it."* The name "Turtle Soup" is a clever play on words: the strategy essentially "eats" the Turtles by trading against them when their breakouts fail. #### Original Turtle Soup Rules: - **Setup:** Price makes a new 20-day high (or low) - **Qualifier:** The previous 20-day high must be at least 3-4 days old (not a fresh breakout) - **Entry Trigger:** Price reverses back inside the channel (failed breakout) - **Entry:** Go SHORT (against the failed breakout above), or LONG (against the failed breakdown below) - **Philosophy:** Mean-reversion—fade false breakouts and profit from trapped traders #### Turtle Soup Plus One Variant: Raschke also developed a more conservative variant called "Turtle Soup Plus One" which waits for the *next bar* after the breakout to confirm the failure before entering. This reduces false signals but may miss some opportunities. --- ## Our Enhanced Turtle Soup Strategy We have taken the classic Turtle Soup concept and enhanced it with modern technical indicators and filters to improve signal quality and adapt to today's markets. ### Core Logic Preserved The fundamental strategy remains true to Raschke's original concept: | Turtle (Original) | Turtle Soup (Our Strategy) | |-------------------|---------------------------| | BUY breakout above 20-day high | SHORT when that breakout FAILS | | SELL breakout below 20-day low | LONG when that breakdown FAILS | | Trend-following | Mean-reversion | | "The trend is your friend" | "Failed breakouts trap traders" | --- ### Enhancements & Improvements #### 1. RSI Exhaustion Filter **Addition:** RSI must confirm exhaustion before entry - **For SHORT entries:** RSI > 60 (buyers exhausted) - **For LONG entries:** RSI < 40 (sellers exhausted) **Why:** The original Turtle Soup had no momentum filter. Adding RSI ensures we only fade breakouts when the market is showing signs of exhaustion, significantly reducing false signals. This enhancement was inspired by later traders who found RSI extremes (originally 90/10, softened to 60/40) dramatically improved win rates. #### 2. ADX Trending Filter **Addition:** ADX must be > 20 for trades to execute **Why:** While the original Turtle Soup was designed for ranging markets, we found that requiring *some* trend strength (ADX > 20) actually improves results. This ensures we're trading in markets with enough directional movement to create meaningful failed breakouts, rather than random noise in dead markets. #### 3. Heikin Ashi Smoothing **Addition:** Optional Heikin Ashi calculations for breakout detection **Why:** Heikin Ashi candles smooth out price noise and make trend reversals more visible. When enabled, the strategy uses HA values to detect breakouts and failures, reducing whipsaws from erratic price spikes. #### 4. Dynamic Donchian Channels with Regime Detection **Addition:** Color-coded channels based on market regime - 🟢 **Green:** Bullish regime (uptrend + DI+ > DI- + OBV bullish) - 🔴 **Red:** Bearish regime (downtrend + DI- > DI+ + OBV bearish) - 🟡 **Yellow:** Neutral regime **Why:** Visual regime detection helps traders understand the broader market context. The original Turtle Soup had no regime awareness—our enhancement lets traders see at a glance whether conditions favor the strategy. #### 5. Volume Spike Detection (Optional) **Addition:** Optional filter requiring volume surge on the breakout bar **Why:** Failed breakouts are more significant when they occur on high volume. A volume spike on the breakout bar (default 1.2x average) indicates more traders got trapped, creating stronger reversal potential. #### 6. ATR-Based Stops and Targets **Addition:** Configurable ATR-based stop losses and profit targets - **Stop Loss:** 1.5x ATR (default) - **Profit Target:** 2.0x ATR (default) **Why:** The original Turtle Soup used fixed stop placement. ATR-based stops adapt to current volatility, providing tighter stops in calm markets and wider stops in volatile conditions. #### 7. Signal Cooldown **Addition:** Minimum bars between trades (default 5) **Why:** Prevents overtrading during choppy conditions where multiple failed breakouts might occur in quick succession. #### 8. Real-Time Info Panel **Addition:** Comprehensive dashboard showing: - Current regime (Bullish/Bearish/Neutral) - RSI value and zone - ADX value and trending status - Breakout status - Bars since last high/low - Current setup status - Position status **Why:** Gives traders instant visibility into all strategy conditions without needing to check multiple indicators. --- ## Entry Rules Summary ### SHORT Entry (Fading Failed Breakout Above) 1. ✅ Price breaks ABOVE the 20-period Donchian high 2. ✅ Previous 20-period high was at least 1 bar ago 3. ✅ Price closes back BELOW the Donchian high (failed breakout) 4. ✅ RSI > 60 (exhausted buyers) 5. ✅ ADX > 20 (trending market) 6. ✅ Cooldown period met → **Enter SHORT**, betting the breakout will fail ### LONG Entry (Fading Failed Breakdown Below) 1. ✅ Price breaks BELOW the 20-period Donchian low 2. ✅ Previous 20-period low was at least 1 bar ago 3. ✅ Price closes back ABOVE the Donchian low (failed breakdown) 4. ✅ RSI < 40 (exhausted sellers) 5. ✅ ADX > 20 (trending market) 6. ✅ Cooldown period met → **Enter LONG**, betting the breakdown will fail --- ## Exit Rules 1. **ATR Stop Loss:** Position closed if price moves 1.5x ATR against entry 2. **ATR Profit Target:** Position closed if price moves 2.0x ATR in favor 3. **Channel Exit:** Position closed if price breaks the exit channel in the opposite direction 4. **Mid-Channel Exit:** Position closed if price returns to channel midpoint --- ## Best Market Conditions The Turtle Soup strategy performs best when: - ✅ Markets are prone to false breakouts - ✅ Volatility is moderate (not too low, not extreme) - ✅ Price is oscillating within a broader range - ✅ There are clear support/resistance levels The strategy may struggle when: - ❌ Strong trends persist (breakouts follow through) - ❌ Volatility is extremely low (no meaningful breakouts) - ❌ Markets are in news-driven directional moves --- ## Default Settings | Parameter | Default | Description | |-----------|---------|-------------| | Lookback Period | 20 | Donchian channel period | | Min Bars Since Extreme | 1 | Bars since last high/low | | RSI Length | 14 | RSI calculation period | | RSI Short Level | 60 | RSI must be above this for shorts | | RSI Long Level | 40 | RSI must be below this for longs | | ADX Length | 14 | ADX calculation period | | ADX Threshold | 20 | Minimum ADX for trades | | ATR Period | 20 | ATR calculation period | | ATR Stop Multiplier | 1.5 | Stop loss distance in ATR | | ATR Target Multiplier | 2.0 | Profit target distance in ATR | | Cooldown Period | 5 | Minimum bars between trades | | Volume Multiplier | 1.2 | Volume spike threshold | --- ## Philosophy > *"The Turtle system made millions by following breakouts. The Turtle Soup strategy makes money when those breakouts fail. In trading, there's always someone on the other side of the trade—this strategy profits by being the smart money that fades the trapped breakout traders."* The beauty of the Turtle Soup strategy is its elegant simplicity: it exploits a known, repeatable pattern (failed breakouts) while using modern filters (RSI, ADX) to improve timing and reduce false signals. --- ## Credits - **Original Turtle System:** Richard Dennis & William Eckhardt (1983) - **Turtle Soup Strategy:** Linda Bradford Raschke & Larry Connors (1990s) - **RSI Enhancement:** Various traders who discovered RSI extremes improve reversal detection - **This Implementation:** Enhanced with Heikin Ashi smoothing, regime detection, ADX filtering, and comprehensive visualization --- *"We're not following the turtles—we're making soup out of them."* 🥣
Estrategia Pine Script®
por ralis24
ES-VIX Expected Move - Open basedES-VIX Daily Price Bands This indicator plots dynamic intraday price bands for ES futures based on real-time volatility levels measured by the VIX (CBOE Volatility Index). The bands evolve throughout the trading day, providing volatility-adjusted price targets. Formulas: Upper Band = Daily Open + (ES Price × VIX ÷ √252 ÷ 100) Lower Band = Daily Open - (ES Price × VIX ÷ √252 ÷ 100) The calculation uses the square root of 252 (trading days per year) to convert annualized VIX volatility into an expected daily move, then scales it as a percentage adjustment from the current day's open. Features: Real-time band calculation that updates throughout the trading session Upper band (green) extends from the current day's open Lower band (red) contracts from the current day's open Inner upper band (green) at 50% of expected move Inner lower band (red) at 50% of expected move Middle Inner upper band (green) at 80% of expected move Middle Inner lower band (red) at 80% of expected move Information table displaying: Current ES price and VIX level Daily Open Expected move
Indicador Pine Script®
por alanjeremiebarbe
Price Channel ScalpingMy X account：@CTF_bule_lotus 1. Core Logic (Price Channel Breakout) The strategy relies on a single, simple indicator: the highest high of the past 20 bars. When the current price breaks above this 20-period high, a stop entry is used to initiate a long position. This design avoids prediction. The model waits for the market to demonstrate momentum before participating. 2. Trade Direction (Long Only) The strategy exclusively trades long positions and does not take shorts. This choice is based on: ETH’s historically upward-biased structure Avoiding noise from two-sided signals during high-volatility periods Keeping the direction consistent, which is beneficial for scalping-style systems 3. Risk Management (Fixed TP / SL) Immediately after entry, the strategy sets two fixed exit conditions: Take Profit: +10 price units Stop Loss: –10 price units Both are automatically converted using the market’s minimum tick size to ensure cross-instrument applicability. This fixed TP/SL structure is typical in scalping systems: small wins, fast exits, controlled losses, high turnover. 4. Transaction Costs A 0.03% fee is applied to every trade throughout the entire backtest. This fee level reflects the cost structure of major centralized exchanges, making results closer to real-world conditions. 5. Data & Time Range (2016–2025 Full Sample) The backtest uses ETH’s complete historical dataset from 2016 to 2025. No subjective filtering is applied—large moves, flash crashes, and black-swan events are all included. The strategy does not rely on heavy parameter tuning, reducing the risk of overfitting. 6. Backtest Results (Including Fees) Under this fixed, rule-based structure, the cumulative return is: 1,202,002.77% (2016 → 2025) Even after including transaction fees, performance is driven by: High trade frequency and small profit targets Strict loss containment Capturing momentum during breakout regimes 7. Transparency & Reproducibility I will publish the full Pine Script implementation, including: Entry logic Exit logic Fee configuration All parameters Backtesting framework Transparency and reproducibility remain the core principles of this research.
Estrategia Pine Script®
por michelathayde808
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