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Options Strategy V2.0📈 Options Strategy V2.0 – Intraday Reversal-Resilient Momentum System Overview: This strategy is designed specifically for intraday SPY, TSLA, MSFT, etc. options trading (0DTE or 1DTE), using high-probability signals derived from a confluence of technical indicators: EMA crossovers, RSI thresholds, ATR-based risk control, and volume spikes. The strategy aims to capture strong directional moves while avoiding overtrading, thanks to a built-in cooldown logic and optional time/session filters. ⚙️ Core Concept The strategy executes trades only in the direction of the prevailing trend, determined by short- and long-term Exponential Moving Averages (EMA). Entry signals are generated when the Relative Strength Index (RSI) confirms momentum in the direction of the trend, and volume spikes suggest institutional activity. To increase adaptability and user control, it includes a highly customizable parameter set for both long and short entries independently. 📌 Key Features ✅ Trend-Following Logic Long entries are only allowed when EMA(short) > EMA(long) Short entries are only allowed when EMA(short) < EMA(long) ✅ RSI Confirmation Long: Requires RSI crossover above a configurable threshold Short: Requires RSI crossunder below a configurable threshold Optional rejection filters: Entry blocked above/below specific RSI extremes ✅ Volume Spike Filter Confirms institutional participation by comparing current volume to an average multiplied by a user-defined factor. ✅ ATR-Based Risk Management Both Stop Loss (SL) and Take Profit (TP) are dynamically calculated using ATR × a multiplier. TP/SL ratio is fully configurable. ✅ Cooldown Control After every trade, the system waits for a set number of bars before allowing new entries. This prevents overtrading and increases signal quality. Optionally, cooldown is ignored for reversal trades, ensuring the system can react immediately to a confirmed trend change. ✅ Candle Body Filter (Noise Control) Avoids trades on candles with too small bodies relative to wicks (often noise or indecision candles). ✅ VWAP Confirmation (Optional) Ensures price is trading above VWAP for long entries, or below for short entries. ✅ Time & Session Filters Trades only during regular market hours (09:30–16:00 EST). No-trade zone (e.g., 14:15–15:45 EST) to avoid low-liquidity traps or late-day whipsaws. ✅ End-of-Day Auto Close All open positions are force-closed at 15:55 EST, protecting against overnight risk (especially relevant for 0DTE options). 📊 Visual Aids EMA plots show trend direction VWAP line provides real-time mean-reversion context Stop Loss and Take Profit lines appear dynamically with each trade Alerts notify of entry signals and exit triggers 🔧 Customization Panel Nearly every element of the strategy can be tailored: EMA lengths (short and long, for both sides) RSI thresholds and length ATR length, SL multiplier, and TP/SL ratio Volume spike sensitivity Minimum EMA distance filter Candle body ratio filter Session restrictions Cooldown logic (duration + reversal exception) This makes the strategy extremely versatile, allowing both conservative and aggressive configurations depending on the trader’s profile and the market context. 📌 Example Use Case: SPY Options (0DTE or 1DTE) This system was designed and tested specifically for SPY and other intraday options trading, where: Delta is around 0.50 or higher Trades are short-lived (often 1–5 candles) You aim to trade 1–3 signals per day, filtering out weak entries 🚫 Important Notes It is not a scalping strategy; it relies on confirmed breakouts with trend support No pyramiding or re-entries without cooldown to preserve risk integrity Should be used with real-time alerts and manual broker execution 📈 Alerts Included 📈 Long Entry Signal 📉 Short Entry Signal ⚠️ Auto-closed all positions at 15:55 EST ✅ Proven Settings – Real Trades + Backtest Results The current version of the strategy includes the optimal settings I’ve arrived at through extensive backtesting, as well as 3 months of real trading with consistent profitability. These results reflect real-world execution under live market conditions using 0DTE SPY options, with disciplined trade management and risk control. 🧠 Final Thoughts Options Strategy V2.0 is a robust, highly tunable intraday strategy that blends momentum, trend-following, and volume confirmation. It is ideal for disciplined traders focused on SPY or other 0DTE/1DTE options, and it includes guardrails to reduce false signals and improve execution timing. Perfect for those who seek precision, flexibility, and risk-defined setups—not blind automation.
Pine Script® stratejisi
olaszvandor tarafından
AutoTune MA - with crossover alertsThis indicator adapts the length of an EMA based on how far the adaptive MA itself is from the price, normalized by volatility (ATR%). The adaptive length shortens when the MA moves further from price, making the MA more responsive, and lengthens when closer, smoothing the MA. The base SMA is shown for reference only. How to Use: Watch the adaptive MA lines for dynamic smoothing that reacts to market volatility and price movement. Use crossovers of the smallest and medium adaptive MAs for potential entry signals. The base MA provides a stable benchmark for trend context. Adjust inputs for base length, minimum length, and effect multiplier to fit your preferred responsiveness and market conditions.
Pine Script® göstergesi
OnlyScans tarafından
1
PulseWave Strategy Markking77PulseWave Strategy (Markking77) — Description & Indicator Roadmap PulseWave Strategy (Markking77) is a sleek, straightforward trading system that fuses three powerful market indicators — VWAP, MACD, and RSI — into one harmonious tool. Designed for traders who want clear, actionable signals, this strategy captures trend direction, momentum shifts, and market strength to help you spot optimal entry and exit points. Step 1: VWAP — The Market Trend Compass (Color: Blue) What it does: The Volume Weighted Average Price (VWAP) is the average price a security has traded at throughout the day, weighted by volume. It acts as a dynamic benchmark that many institutional traders rely on. Why it matters: Price above the VWAP (blue line) signals bullish momentum — buyers dominate. Price below the VWAP signals bearish momentum — sellers in control. PulseWave use: VWAP sets the trend foundation — we trade in the direction the price sits relative to VWAP. Step 2: MACD — Momentum Confirmation (Colors: Orange & Blue) What it does: MACD tracks momentum by comparing short-term and long-term moving averages, using the MACD line and a signal line to indicate shifts. Why it matters: When the MACD line (orange) crosses above the Signal line (blue), it signals rising momentum — a bullish cue. When the MACD line crosses below the signal line, it signals weakening momentum — bearish cue. PulseWave use: MACD confirms momentum that aligns with the VWAP trend before entering trades. Step 3: RSI — The Strength Filter (Color: Purple) What it does: The Relative Strength Index (RSI) measures how fast prices are changing to indicate overbought or oversold conditions. Why it matters: RSI above 70 = overbought (possible reversal or pause). RSI below 30 = oversold (potential bounce). PulseWave use: RSI filters out trades taken at extreme price levels, avoiding entries that are too stretched. Color-Coded Roadmap Summary: Step Indicator Role Buy Signal Sell Signal Color 1 VWAP Trend Direction Price > VWAP (bullish) Price < VWAP (bearish) Blue 2 MACD Momentum Confirmation MACD line crosses above Signal line MACD line crosses below Signal line Orange & Blue 3 RSI Entry Filter RSI < 70 (not overbought) RSI > 30 (not oversold) Purple How PulseWave Strategy Works: Buy when price sits above VWAP, MACD line crosses above the Signal line, and RSI is below 70. Sell (exit) when price drops below VWAP, MACD line crosses below the Signal line, and RSI is above 30. This layered approach ensures you only trade when trend, momentum, and strength align — reducing false signals and improving your edge. Why Use PulseWave Strategy? Clear & Simple: No guesswork — clear color-coded signals guide your decisions. Robust: Combines trend, momentum, and strength in one system. Versatile: Fits day trading and swing trading styles alike. Visual: Easily interpreted signals with minimal clutter.
Pine Script® stratejisi
Markking77 tarafından
1
Smart Money Footprint & MM Pattern Detector📊 Smart Money Footprint & MM Pattern Detector by @darshakssc is a technical analysis tool designed to help traders visually identify potential high-volume activity, key swing points, and possible Market Maker (MM) patterns on their charts. This script is not a buy/sell signal generator. Instead, it offers a visual framework to better understand market behavior, so traders can make their own well-informed decisions. 🔍 Key Features ✔️ Volume Analysis — Detects high-volume conditions relative to a moving average threshold. ✔️ Swing Point Detection — Highlights potential swing highs and swing lows for structure analysis. ✔️ Market Maker Pattern Detection — Identifies possible bullish or bearish MM footprints based on price action and volume behavior. ✔️ Customizable Dashboard — Clean, visual dashboard showing volume status, swing state, and pattern status at a glance. ✔️ Dark & Light Mode — Easily switch between a dark or light theme for better chart visibility. ✔️ Alerts — Optional alerts when swing points or MM patterns are detected. 🎯 How to Use ✔️ Add the indicator to your chart. ✔️ Adjust the Volume MA and Threshold to match your preferred market and timeframe. ✔️ Use the dashboard as a quick-reference visual guide. ✔️ Combine with your own strategy, risk management, and other forms of analysis. ⚠️ Disclaimer This tool is provided for educational and informational purposes only. It does not constitute financial advice or a trading recommendation. Trading involves risk, and past performance does not guarantee future results. Always perform your own due diligence and use appropriate risk management.
Pine Script® göstergesi
darshakssc tarafından
Power Metcalfe's + Fibonacci Channel## Metcalfe's Law + Fibonacci Channel - Optimized Bitcoin Valuation Model This indicator presents an enhanced variation of the classic Bitcoin Metcalfe's Law model, combining logarithmic regression analysis with Fibonacci retracement levels to create a comprehensive valuation framework. **Key Features:** - **Optimized Metcalfe's Law calculation** using historical cycle data (2013-2022) for improved accuracy - **Fibonacci channel overlay** with key levels: 0.382, 0.618, 1.272, 1.618, 2.000, 2.618, 3.000 - **Dynamic trading zones** with visual buy/sell signals based on price position relative to the channel - **Real-time targets** displaying current Fibonacci projections and fair value estimates **What makes it different:** Unlike standard Metcalfe's Law implementations, this version integrates logarithmic growth principles and uses a refined dataset that accounts for Bitcoin's maturation cycles. The Fibonacci overlay provides clearer entry/exit points while maintaining the long-term growth trajectory based on network adoption. **Best suited for:** Long-term Bitcoin holders and macro traders looking for mathematical support/resistance levels based on network adoption dynamics and scarcity. The model automatically updates calculations and provides a comprehensive information table showing current formula parameters and key price targets.
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didaz tarafından
Hann Window FIR Filter Ribbon [BigBeluga]🔵 OVERVIEW The Hann Window FIR Filter Ribbon is a trend-following visualization tool based on a family of FIR filters using the Hann window function. It plots a smooth and dynamic ribbon formed by six Hann filters of progressively increasing length. Gradient coloring and filled bands reveal trend direction and compression/expansion behavior. When short-term trend shifts occur (via filter crossover), it automatically anchors visual support/resistance zones at the nearest swing highs or lows. 🔵 CONCEPTS Hann FIR Filter: A finite impulse response filter that uses a Hann (cosine-based) window for weighting past price values, resulting in a non-lag, ultra-smooth output. hannFilter(length)=> var float hann = na // Final filter output float filt = 0 float coef = 0 for i = 1 to length weight = 1 - math.cos(2 * math.pi * i / (length + 1)) filt += price * weight coef += weight hann := coef != 0 ? filt / coef : na Ribbon Stack: The indicator plots 6 Hann FIR filters with increasing lengths, creating a smooth "ribbon" that adapts to price shifts and visually encodes volatility. Gradient Coloring: Line colors and fill opacity between layers are dynamically adjusted based on the distance between the filters, showing momentum expansion or contraction. Dynamic Swing Zones: When the shortest filter crosses its nearest neighbor, a swing high/low is located, and a triangle-style level is anchored and projected to the right. Self-Extending Levels: These dynamic levels persist and extend until invalidated or replaced by a new opposite trend break. 🔵 FEATURES Plots 6 Hann FIR filters with increasing lengths (controlled by Ribbon Size input). Automatically colors each filter and the fill between them with smooth gradient transitions. Detects trend shifts via filter crossover and anchors visual resistance (red) or support (green) zones. Support/resistance zones are triangle-style bands built around recent swing highs/lows. Levels auto-extend right and adapt in real time until invalidated by price action. Ribbon responds smoothly to price and shows contraction or expansion behavior clearly. No lag in crossover detection thanks to FIR architecture. Adjustable sensitivity via Length and Ribbon Size inputs. 🔵 HOW TO USE Use the ribbon gradient as a visual trend strength and smooth direction cue. Watch for crossover of shortest filters as early trend change signals. Monitor support/resistance zones as potential high-probability reaction points. Combine with other tools like momentum or volume to confirm trend breaks. Adjust ribbon thickness and length to suit your trading timeframe and volatility preference. 🔵 CONCLUSION Hann Window FIR Filter Ribbon blends digital signal processing with trading logic to deliver a visually refined, non-lagging trend tool. The adaptive ribbon offers insight into momentum compression and release, while swing-based levels give structure to potential reversals. Ideal for traders who seek smooth trend detection with intelligent, auto-adaptive zone plotting.
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BigBeluga tarafından
2
Time-Decaying Percentile Oscillator [BackQuant]Time-Decaying Percentile Oscillator 1. Big-picture idea Traditional percentile or stochastic oscillators treat every bar in the look-back window as equally important. That is fine when markets are slow, but if volatility regime changes quickly yesterday’s print should matter more than last month’s. The Time-Decaying Percentile Oscillator attempts to fix that blind spot by assigning an adjustable weight to every past price before it is ranked. The result is a percentile score that “breathes” with market tempo much faster to flag new extremes yet still smooth enough to ignore random noise. 2. What the script actually does Build a weight curve • You pick a look-back length (default 28 bars). • You decide whether weights fall Linearly , Exponentially , by Power-law or Logarithmically . • A decay factor (lower = faster fade) shapes how quickly the oldest price loses influence. • The array is normalised so all weights still sum to 1. Rank prices by weighted mass • Every close in the window is paired with its weight. • The pairs are sorted from low to high. • The cumulative weight is walked until it equals your chosen percentile level (default 50 = median). • That price becomes the Time-Decayed Percentile . Find dispersion with robust statistics • Instead of a fragile standard deviation the script measures weighted Median-Absolute-Deviation about the new percentile. • You multiply that deviation by the Deviation Multiplier slider (default 1.0) to get a non-parametric volatility band. Build an adaptive channel • Upper band = percentile + (multiplier × deviation) • Lower band = percentile – (multiplier × deviation) Normalise into a 0-100 oscillator • The current close is mapped inside that band: 0 = lower band, 50 = centre, 100 = upper band. • If the channel squeezes, tiny moves still travel the full scale; if volatility explodes, it automatically widens. Optional smoothing • A second-stage moving average (EMA, SMA, DEMA, TEMA, etc.) tames the jitter. • Length 22 EMA by default—change it to tune reaction speed. Threshold logic • Upper Threshold 70 and Lower Threshold 30 separate standard overbought/oversold states. • Extreme bands 85 and 15 paint background heat when aggressive fade or breakout trades might trigger. Divergence engine • Looks back twenty bars. • Flags Bullish divergence when price makes a lower low but oscillator refuses to confirm (value < 40). • Flags Bearish divergence when price prints a higher high but oscillator stalls (value > 60). 3. Component walk-through • Source – Any price series. Close by default, switch to typical price or custom OHLC4 for futures spreads. • Look-back Period – How many bars to rank. Short = faster, long = slower. • Base Percentile Level – 50 shows relative position around the median; set to 25 / 75 for quartile tracking or 90 / 10 for extreme tails. • Deviation Multiplier – Higher values widen the dynamic channel, lowering whipsaw but delaying signals. • Decay Settings – Type decides the curve shape. Exponential (default 1.16) mimics EMA logic. – Factor < 1 shrinks influence faster; > 1 spreads influence flatter. – Toggle Enable Time Decay off to compare with classic equal-weight stochastic. • Smoothing Block – Choose one of seven MA flavours plus length. • Thresholds – Overbought / Oversold / Extreme levels. Push them out when working on very mean-reverting assets like FX; pull them in for trend monsters like crypto. • Display toggles – Show or hide threshold lines, extreme filler zones, bar colouring, divergence labels. • Colours – Bullish green, bearish red, neutral grey. Every gradient step is automatically blended to generate a heat map across the 0-100 range. 4. How to read the chart • Oscillator creeping above 70 = market auctioning near the top of its adaptive range. • Fast poke above 85 with no follow-through = exhaustion fade candidate. • Slow grind that lives above 70 for many bars = valid bullish trend, not a fade. • Cross back through 50 shows balance has shifted; treat it like a micro trend change. • Divergence arrows add extra confidence when you already see two-bar reversal candles at range extremes. • Background shading (semi-transparent red / green) warns of extreme states and throttles your position size. 5. Practical trading playbook Mean-reversion scalps  1. Wait for oscillator to reach your desired OB/ OS levels  2. Check the slope of the smoothing MA—if it is flattening the squeeze is mature.  3. Look for a one- or two-bar reversal pattern.  4. Enter against the move; first target = midline 50, second target = opposite threshold.  5. Stop loss just beyond the extreme band. Trend continuation pullbacks  1. Identify a clean directional trend on the price chart.  2. During the trend, TDP will oscillate between midline and extreme of that side.  3. Buy dips when oscillator hits OS levels, and the same for OB levels & shorting  4. Exit when oscillator re-tags the same-side extreme or prints divergence. Volatility regime filter  • Use the Enable Time Decay switch as a regime test.  • If equal-weight oscillator and decayed oscillator diverge widely, market is entering a new volatility regime—tighten stops and trade smaller. Divergence confirmation for other indicators  • Pair TDP divergence arrows with MACD histogram or RSI to filter false positives.  • The weighted nature means TDP often spots divergence a bar or two earlier than standard RSI. Swing breakout strategy  1. During consolidation, band width compresses and oscillator oscillates around 50.  2. Watch for sudden expansion where oscillator blasts through extreme bands and stays pinned.  3. Enter with momentum in breakout direction; trail stop behind upper or lower band as it re-expands. 6. Customising decay mathematics Linear – Each older bar loses the same fixed amount of influence. Intuitive and stable; good for slow swing charts. Exponential – Influence halves every “decay factor” steps. Mirrors EMA thinking and is fastest to react. Power-law – Mid-history bars keep more authority than exponential but oldest data still fades. Handy for commodities where seasonality matters. Logarithmic – The gentlest curve; weight drops sharply at first then levels off. Mimics how traders remember dramatic moves for weeks but forget ordinary noise quickly. Turn decay off to verify the tool’s added value; most users never switch back. 7. Alert catalogue • TD Overbought / TD Oversold – Cross of regular thresholds. • TD Extreme OB / OS – Breach of danger zones. • TD Bullish / Bearish Divergence – High-probability reversal watch. • TD Midline Cross – Momentum shift that often precedes a window where trend-following systems perform. 8. Visual hygiene tips • If you already plot price on a dark background pick Bullish Color and Bearish Color default; change to pastel tones for light themes. • Hide threshold lines after you memorise the zones to declutter scalping layouts. • Overlay mode set to false so the oscillator lives in its own panel; keep height about 30 % of screen for best resolution. 9. Final notes Time-Decaying Percentile Oscillator marries robust statistical ranking, adaptive dispersion and decay-aware weighting into a simple oscillator. It respects both recent order-flow shocks and historical context, offers granular control over responsiveness and ships with divergence and alert plumbing out of the box. Bolt it onto your price action framework, trend-following system or volatility mean-reversion playbook and see how much sooner it recognises genuine extremes compared to legacy oscillators. Backtest thoroughly, experiment with decay curves on each asset class and remember: in trading, timing beats timidity but patience beats impulse. May this tool help you find that edge.
Pine Script® göstergesi
BackQuant tarafından
Candle Channel█ OVERVIEW The "Candle Channel" indicator is a versatile technical analysis tool that plots a price channel based on the Simple Moving Average (SMA) of candlestick midpoints. The channel bands, calculated based on candlestick volatility, form dynamic support and resistance levels that adapt to price movements. The script generates signals for reversals from the bands and SMA breakouts, making it useful for both short-term and long-term traders. By adjusting the SMA length, the channel can vary in nature—from a wide channel encapsulating price movement to narrower support/resistance or trend-following bands. The channel width can be further customized using a scaling parameter, allowing adaptation to different trading styles and markets. █ MECHANISM Band Calculation The indicator is based on the following calculations: Candlestick Midpoint: Calculated as the arithmetic average of the candle’s high and low prices: (high + low) / 2. Simple Moving Average (SMA): The average of candlestick midpoints over a specified length (default: 20 candles), forming the channel’s centerline. Average Candle Height: Calculated as the average difference between the high and low prices (high - low) over the same SMA length, serving as a measure of market volatility. Band Scaling: The user specifies a percentage of the average candle height (default: 200%), which is multiplied by the average height to create an offset. The upper band is SMA + offset, and the lower band is SMA - offset.Example: For an average candle height of 10 points and 200% scaling, the offset is 20 points, meaning the bands are ±20 points from the SMA. Channel Characteristics: The SMA length determines the channel’s dynamics. Shorter SMA values (10–30) create a wide channel that contains price movement, ideal for scalping or short-term trading. Longer SMA values (above 30, e.g., 50–100) transform the channel into narrower support/resistance or trend-following bands, suitable for longer-term analysis. Band scaling further adjusts the channel width to match market volatility. Signals Reversal from Bands: Signals are generated when the price closes outside the band (above the upper or below the lower) and then returns to the channel, indicating a potential trend reversal. SMA Breakout: Signals are generated when the price crosses the SMA upward (bullish signal) or downward (bearish signal), suggesting potential trend changes. Visualization Centerline: The SMA of candlestick midpoints, displayed as a thin line. Channel Bands: Upper and lower channel boundaries, with customizable colors. Fill: Options include a gradient (smooth color transition between bands) or solid color. The fill can also be disabled for greater clarity. █ FEATURES AND SETTINGS SMA Length: Determines the moving average period (default: 20). Values of 10–30 are suitable for a wide channel containing price movement, ideal for short-term timeframes. Longer values (e.g., 50–100) create narrower support/resistance or trend-following bands, better suited for higher timeframes. Band Scaling: Percentage of the average candle height (default: 200%). Adjusts the channel width to match market volatility—smaller values (e.g., 50–100%) for narrower bands, larger values (e.g., 200–300%) for wider channels. Fill Type: Gradient, solid, or no fill, allowing customization to user preferences. Colors: Options to change the colors of bands, fill, and signals for better readability. Signals: Options to enable/disable reversal signals from bands and SMA breakout signals. █ HOW TO USE Add the script to your chart in TradingView by clicking "Add to Chart" in the Pine Editor. Adjust input parameters in the script settings: SMA Length: Set to 10–30 for a wide channel containing price movement, suitable for scalping or short-term trading. Set above 30 (e.g., 50–100) for narrower support/resistance or trend-following bands. Band Scaling: Adjust the channel width to market volatility. Smaller values (50–100%) for tighter support/resistance bands, larger values (200–300%) for wider channels containing price movement. Fill Type and Colors: Choose a gradient for aesthetics or a solid fill for clarity. Analyze signals: Reversal Signals: Triangles above (bearish) or below (bullish) candles indicate potential reversal points. SMA Breakout Signals: Circles above (bearish) or below (bullish) candles indicate trend changes. Test the indicator on different instruments and timeframes to find optimal settings for your trading style. █ LIMITATIONS The indicator may generate false signals in highly volatile or consolidating markets. On low-liquidity charts (e.g., exotic currency pairs), the bands may be less reliable. Effectiveness depends on properly matching parameters to the market and timeframe.
Pine Script® göstergesi
Uncle_the_shooter tarafından
Fisher Crossover StrategyThe Fisher Crossover Strategy is a popular technical trading method that uses the Fisher Transform indicator developed by John Ehlers. This indicator mathematically converts price data into a normal Gaussian distribution, making market turning points sharper and easier to identify. The strategy is based on two lines: the Fisher line, which is the main transformed price value, and the Trigger line, which is a one-period lag of the Fisher line. Traders use the crossover of these lines to determine buy and sell opportunities. A buy signal is generated when the Fisher line crosses above the Trigger line, indicating that bullish momentum may be starting, while a sell signal occurs when the Fisher line crosses below the Trigger line, suggesting a possible bearish reversal. Signals that occur relative to the zero line are often considered stronger; for example, a buy signal below the zero line may indicate a deeper market reversal. The strategy is simple to follow and can be applied to various markets including stocks, forex, commodities, and cryptocurrencies. However, like all crossover strategies, it can produce false signals during sideways or ranging markets. To reduce whipsaws, traders often combine the Fisher Crossover Strategy with other tools such as support and resistance levels, volume analysis, or moving averages. Proper risk management with stop-loss and take-profit levels is also essential. Overall, the Fisher Crossover Strategy is valued for its clear entry and exit rules and its ability to highlight potential market reversals earlier than many other indicators.
Pine Script® stratejisi
kamalverma1207 tarafından