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Indikatoren und Strategien

Supertrend [TradingConToto]Supertrend — ADX/DI + EMA Gap + Breakout (with Mobile UI) What makes it original Supertrend combines trend strength (ADX/DI), multi-timeframe bias (EMA63 and EMA 200D equivalent), a structural filter based on the distance between EMA2400 and EMA4800 expressed in ATR units, and a momentum confirmation through a previous high breakout. This is not a random mashup — it’s a sequence of filters designed to reduce trades in ranging markets and prioritize mature trends: Direction: +DI > -DI (trend led by buyers). Strength: ADX > mean(ADX) (avoids weak, choppy phases). Short-term bias: Close > EMA63. Long-term bias: Close > EMA4800 ≈ EMA200 daily on H1. Momentum: Close > High (immediate breakout). Structure: (EMA2400 − EMA4800) > k·ATR (ensures separation in ATR units, filters out flat phases). Entries & exits Entry: when all six conditions are met and no open position exists. Exit: if +DI < -DI or Close < EMA63. Visuals: EMA63 is painted green while in position and red otherwise, with a supertrend-style band; “BUY” labels appear below the green band and “SELL” labels above the red band. UI: includes a compact table (mobile-friendly) showing the state of each condition. Default parameters used in this publication Initial capital: 10,000 Position size: 10% of equity (≤10% per trade is considered sustainable). Commission: 0.01% per side (adjust to your broker/market). Slippage: 1 tick Pyramiding: 0 (only one position at a time) Adjust commission/slippage to match your market. For US equities, commissions are often per share; for spot crypto, 0.10–0.20% total is common. I publish with 0.01% per side as a conservative example to avoid overestimating results. Recommended backtest dataset Timeframe: H1 Multi-cycle window (e.g. 2015–today) Symbols with high liquidity (e.g. NASDAQ-100 large caps, or BTC/ETH spot) to generate 100+ trades. Avoid cherry-picked short windows. Why each filter matters +DI > -DI + ADX > mean: reduce counter-trend trades and weak signals. Close > EMA63 + Close > EMA4800: enforce trend alignment in short and long horizons. Breakout High : requires immediate momentum, avoids early entries. EMA gap in ATR units: blocks flat or compressed structures where EMA200D aligns with price. Limitations The breakout filter may skip healthy pullbacks; the design prioritizes continuation over perfect entry price. No fixed trailing stop/TP; exits depend on trend degradation via DI/EMA63. Results vary with real costs (commissions, slippage, funding). Adjust defaults to your broker. How to use Apply it on a clean chart (no other indicators when publishing). Keep in mind the default parameters above; if you change them, mention it in your notes and use the same values in the Strategy Tester. Ensure your dataset produces 100+ trades for statistical validity.
Pine Script® Strategie
von toto_scalper_23
1
Decision Matrix [Cnagda] — Adaptive Multi-Signal Trading SystemDecision Matrix is ​​a cutting-edge trading ecosystem that leverages the synergy of price action, volume dynamics, and key momentum indicators to create a powerful, real-time signal engine for traders. Key Features: Multi-Source Signal Fusion: Buy/Sell Power score, TWAP patterns, EMA/RSI crossovers, Volume zones — 7 layers of confirmation per candle. Adaptive Intelligence: Dynamic lookback window, label-size, and threshold are auto-adjusted based on market volatility. Volume Secrets Decoded: Adaptive ‘Low Volume’ (LV) candle detection reveals reversal and hidden accumulation patterns. Order Block Auto-Zoning: Detect Demand & Supply zones to highlight boxes on the chart — market structure is instantly clear. Heikin-Ashi Inspired Trend Mapping: Candle coloring based on trend intensity — clear visual feedback on every phase of a security. Intelligent Pattern Recognition: 4-candle TWAP & Volume structures help to quickly spot rare reversals and momentum shifts. Live Dashboard: Live Buy/Sell power on the chart, long/short trigger levels, multiple timeframes support — decision making lightning fast! Use Cases: Quick Reversal Detection Momentum Entry/Exit Confirmation False Breakout Filtering Volume-Driven Structural Insights Trailing Stop Placement based on True Demand/Supply Zones What difference will it make? Decision Matrix analyzes every uncertain market move from a multi-angle perspective to show where the market bias is right now, where is the best entry, when is the exit alert — and what is the real volume game behind every trend or even the most subtle reversal move — in just one glance! Every curated visual & signal will give you pure information clarity and high-confidence trading advantage.
Pine Script® Indikator
von cnagda3
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® Strategie
von kevloewe
Volume + RSI & MA Differential"Volume + RSI & MA Differential," integrates volume, RSI, and moving average differentials to generate trading signals. The script calculates a 14-period RSI to identify overbought or oversold conditions, with customizable thresholds for buy and sell signals. It also computes a 20-period SMA of the volume to smooth out trading activity data, helping to identify trends in market participation. The script incorporates a fast (50-period) and a slow (200-period) SMA to analyze short-term and long-term trends, respectively. The differential between these moving averages, adjusted by the volume SMA, is used to identify potential trend changes or confirmations. Bars are colored yellow when the RSI is below the buy threshold and volume is high, indicating a potential buy signal. Conversely, bars turn red when the RSI is above the sell threshold and the fast MA is below the current close price, suggesting a potential sell signal. Neutral conditions result in grey bars. Additionally, the script uses color-coding to plot the volume SMA and a line that changes color based on the moving average differential. A black line indicates a broadening MA cloud and a bullish trend, while a grey line suggests a narrowing MA cloud and a potential selloff. A yellow line signals the beginning of a buyback. This visual representation helps traders quickly identify potential trading opportunities and trend changes, making the script a valuable tool for technical analysis.
Pine Script® Indikator
von ozzy_livin
1
Wahrscheinlichkeits-OszillatorWhat the Indicator Measures (Short Version) The indicator measures, over several different time windows (eight different historyLength values), the probability that the current indicator value (here, a 14-period SMA of the closing price) is higher than past values in that window. These probabilities (named prob1 … prob8) are expressed as percentages (0–100). The arithmetic mean of these eight percentages is avgLine. Additionally, there are smoothings (SMMA) and a baseline (SMA of avgLine), similar to Bollinger Bands. Step-by-Step: How the Values Are Calculated Source: sma_val = ta.sma(close, 14) → This is the 14-period simple moving average of the closing price. This smoothed price is used as the "current comparison value" (instead of raw close) to reduce noise. Historical Array & Counting (Function calculateProbability) For each probX, the function maintains an array of the most recently stored current values (up to historicalLength entries). For the current sma_val, it counts how many entries in the historical array are smaller than current. Then this number is divided by the total number of historical entries → result is a decimal between 0 and 1. Multiplying by 100 gives probX in percent. Mathematical (Pseudo): ini Kopieren Bearbeiten prob = (1 / total) * sum_{i=0}^{total-1} [ current > historical ] * 100 → This is equivalent to the empirical percentile/rank position of the current value within the history. Eight Windows / Ensemble: prob1 … prob8 are calculated with different historyLength values (400, 350, 175, 130, 83, 42, 21, 15). Longer windows measure “long-term” trend strength; shorter windows measure short-term relative strength/momentum. avgLine: ini Kopieren Bearbeiten avgLine = (prob1 + ... + prob8) / 8 → Ensemble average of all eight percentiles. Useful for smoothing extreme values from individual windows. Smoothing (SMMA): SMMA on prob1 and SMMA1 on avgLine reduce short-term fluctuations and make signals more stable. Baseline & “Bands”: Finally, basis = ta.sma(avgLine, length) and dev = mult * ta.stdev(avgLine, length) are calculated — this is exactly the baseline + band logic of a Bollinger-style representation, applied to avgLine. Why It’s Meaningful Percentiles/ranks are robust to scale changes. Instead of absolute price differences, the indicator answers: “Is the current (smoothed) price higher than usual over the last N periods?” The ensemble of multiple window lengths captures different market regimes: short windows react quickly to momentum, long windows provide context and reduce false signals. Smoothing (SMA/SMMA) reduces noise, making signals less sensitive to intraday jitter. Interpretation: When Is the Market “Overheated” / “Not Overheated”? High values (e.g., avgLine ≈ 80–100 or individual probX > 90): The current SMA is higher than almost all previous values in the considered window → strong bullish dominance. This can indicate a strong rally (momentum), but also potential overbought conditions, especially if: Volume growth is slowing, or avgLine has remained very high for several periods (overextension). Low values (e.g., avgLine ≈ 0–20): The current SMA is below most of the historical values → market is under pressure or potentially oversold. Short-term reversal/recovery opportunities are more likely, especially if multiple windows are simultaneously low. Values around ~50: Neutral — the current value is typical, in the middle of its historical distribution. Concrete Rule (Your Specification): Buy / Sell Buy Signal: When all eight lines (prob1 … prob8) are below lowerLine (e.g., lowerLine = 20). → Meaning: In all short- to long-term windows, the current SMA is below most historical values → strong, broadly confirmed undervaluation signal (potential rebound or end of correction). Recommendation: Strong convergent long signal, especially if accompanied by volume increase or support confirmation. Sell Signal: When all eight lines are above upperLine (e.g., upperLine = 90). → Meaning: In all windows, the current SMA is higher than almost all historical values → broadly confirmed overbought / overheating. Recommendation: Strong convergent short/take-profit signal, especially if coinciding with divergences, weakening volume, or resistance areas. Important Limitations & Risks (Pay Attention!) Trend vs. Mean-Reversion: In a strong trend, all windows can stay high for a long time (trend continuation risk). An “all below lower → buy” signal can continue to fall in a strong downtrend → use stop-loss and trend filter (higher TF). Historical Length & Sampling: Chosen historyLength values determine sensitivity. Very long windows make the indicator slower; very short windows increase noise. Statistical Stationarity: Percentile signals assume the distribution remains comparable — in crashes/news events, distributions can break. Smoothing / Lag: SMMA reduces false breakouts but adds delay — trade entries may occur later. Practical Examples (Concrete) Example Buy: prob1..prob8 = , lowerLine = 20 → all below 20 → strong long signal. Example Sell: prob1..prob8 = , upperLine = 90 → all above 90 → take-profit / short signal. Conclusion (Short) Your indicator is a percentile/ranking oscillator over multiple windows — a robust ensemble measuring the relative position of the (smoothed) price to its own history. Overheated = high, broadly confirmed prob values (e.g., all > upperLine). Oversold = low, broadly confirmed prob values (e.g., all < lowerLine) → your rule: all below lowerLine = buy, all above upperLine = sell. Never trade blindly — always use risk management and confirmation (volume, higher timeframes, structure).
Pine Script® Indikator
von kultr
Universal Stochastic Fusion (Simplified) — v6What this indicator is This indicator is called Universal Stochastic Fusion (USF). It’s a tool that helps traders see when the market might be too high (overbought) or too low (oversold), and when it might be a good time to buy or sell. ________________________________________ How it works Think of the market like a rubber band. • If the band stretches too far up, it usually snaps back down. • If it stretches too far down, it usually bounces back up. The USF indicator measures this stretch using something called the Stochastic Oscillator (just a fancy way of saying it looks at where the current price sits compared to recent highs and lows). It shows this on a scale from 0 to 100: • Near 100 → market is stretched upward (too hot). • Near 0 → market is stretched downward (too cold). • Around 50 → normal, middle ground. ________________________________________ What’s special about USF 1. Two views at once o It lets you see the market’s stretch on your current chart and on another timeframe (like a daily view). o This way, you can see the short-term and the bigger picture together. 2. Smart levels o Instead of always using the same “too high/too low” levels (like 80 and 20), it can adjust these lines automatically depending on how wild or calm the market is. 3. Buy and Sell signals o When the market looks too low and starts turning up, it can mark a BUY. o When the market looks too high and starts turning down, it can mark a SELL. 4. Extra filter (optional) o It can also use another tool (RSI) to double-check signals, so you don’t get as many false alerts. ________________________________________ How this helps traders • It helps traders avoid buying when prices are already too high. • It helps them spot possible bottoms where prices may bounce back. • It combines short-term and long-term signals so traders don’t get tricked by quick moves. ________________________________________ Where it works This indicator is universal — meaning it works on almost any market: • Stocks (like Apple, Tesla, etc.) • Forex (currencies like EUR/USD) • Crypto (Bitcoin, Ethereum, etc.) • Commodities (Gold, Oil, etc.) • Futures and Indices (S&P 500, Nasdaq, etc.) Because all these markets share the same pattern of prices going up and down too much and then pulling back, the USF can be applied everywhere. ________________________________________ 👉 In short: The Universal Stochastic Fusion is like a heat meter for the market. It tells you when prices might be too hot (good chance to sell) or too cold (good chance to buy), and it works in all markets and timeframes. ________________________________________
Pine Script® Indikator
von SupertradeOfficial
NeuroSwarm BTC: Мудрость Толпы vs Эксперты(RUS) 📊 Индикатор проекта NeuroSwarm: «Мудрость Толпы vs Эксперты». В основу положены ежемесячные опросы по BTC и ETH (1–5 число каждого месяца), проводимые в криптосообществах Telegram. Толпа — агрегированные прогнозы участников (медиана и среднее). Эксперты — отдельная группа лидеров мнений, трейдеров и аналитиков. Все значения фиксируются для месяца и отображаются на графике в виде линий с заливкой диапазонов. Это позволяет сравнивать ожидания разных групп и соотносить их с реальным движением рынка. ⚠️ Важно: индикатор не является торговым сигналом и используется исключительно для аналитики и визуализации настроений. Проект NeuroSwarm документирует «мудрость толпы» в крипте и ищет точки совпадения/расхождения с экспертами. (ENG) 📊 Indicator by NeuroSwarm: “Wisdom of the Crowd vs Experts”. Based on monthly surveys for BTC & ETH (conducted between the 1st and 5th of each month) within Telegram crypto communities. Crowd — aggregated forecasts from participants (median & average). Experts — separate group of opinion leaders, traders, and analysts. All values are fixed for each month and plotted on the chart as lines with shaded ranges. This allows to compare expectations of different groups with actual market performance. ⚠️ Note: this indicator is not a trading signal. It’s meant for analytics and sentiment visualization. The NeuroSwarm project documents the “wisdom of the crowd” in crypto and explores convergence/divergence with experts.
Pine Script® Indikator
von Nikki_23
1