Analisi tecnica — Indicatori e strategie

DEMA Trend Oscillator Strategy 📌 Overview The DEMA Trend Oscillator Strategy is a dynamic trend-following approach based on the Normalized DEMA Oscillator SD. It adapts in real-time to market volatility with the goal of improving entry accuracy and optimizing risk management. ⚠️ This strategy is provided for educational and research purposes only. Past performance does not guarantee future results. 🎯 Strategy Objectives The main goal of this strategy is to respond quickly to sudden price movements and trend reversals, by combining momentum-based signals with volatility filters. It is designed to be user-friendly for traders of all experience levels. ✨ Key Features Normalized DEMA Oscillator: A momentum indicator that normalizes DEMA values on a 0–100 scale, allowing intuitive identification of trend strength Two-Bar Confirmation Filter: Requires two consecutive bullish or bearish candles to reduce noise and enhance entry reliability ATR x2 Trailing Stop: In addition to fixed stop-loss levels, a trailing stop based on 2× ATR is used to maximize profits during strong trends 📊 Trading Rules Long Entry: Normalized DEMA > 55 (strong upward momentum) Candle low is above the upper SD band Two consecutive bullish candles appear Short Entry: Normalized DEMA < 45 (downward momentum) Candle high is below the lower SD band Two consecutive bearish candles appear Exit Conditions: Take-profit at a risk-reward ratio of 1.5 Stop-loss triggered if price breaks below (long) or above (short) the SD band Trailing stop activated based on 2× ATR to secure and extend profits 💰 Risk Management Parameters Symbol & Timeframe: Any (AUDUSD 5M example) Account size (virtual): $3000 Commission: 0.4PIPS(0.0004) Slippage: 2 pips Risk per trade: 5% Number of trades (backtest):534 All parameters can be adjusted based on broker specifications and individual trading profiles. ⚙️ Trading Parameters & Considerations Indicator: Normalized DEMA Oscillator SD Parameter settings: DEMA Period (len_dema): 40 Base Length: 20 Long Threshold: 55 Short Threshold: 45 Risk-Reward Ratio: 1.5 ATR Multiplier for Trailing Stop: 2.0 🖼 Visual Support The chart displays the following visual elements: Upper and lower SD bands (±2 standard deviations) Entry signals shown as directional arrows 🔧 Strategy Improvements & Uniqueness This strategy is inspired by “Normalized DEMA Oscillator SD” by QuantEdgeB, but introduces enhancements such as a two-bar confirmation filter and an ATR-based trailing stop. Compared to conventional trend-following strategies, it offers superior noise filtering and profit optimization. ✅ Summary The DEMA Trend Oscillator Strategy is a responsive and practical trend-following method that combines momentum detection with adaptive risk management. Its visual clarity and logical structure make it a powerful and repeatable tool for traders seeking consistent performance in trending markets. ⚠️ Always apply appropriate risk management. This strategy is based on historical data and does not guarantee future results.

Iron Bot Statistical Trend Filter 📌 Iron Bot Statistical Trend Filter 📌 Overview Iron Bot Statistical Trend Filter is an advanced trend filtering strategy that combines statistical methods with technical analysis. By leveraging Z-score and Fibonacci levels, this strategy quantitatively analyzes market trends to provide high-precision entry signals. Additionally, it includes an optional EMA filter to enhance trend reliability. Risk management is reinforced with Stop Loss (SL) and four Take Profit (TP) levels, ensuring a balanced approach to risk and reward. 📌 Key Features 🔹 1. Statistical Trend Filtering with Z-Score This strategy calculates the Z-score to measure how much the price deviates from its historical mean. Positive Z-score: Indicates a statistically high price, suggesting a strong uptrend. Negative Z-score: Indicates a statistically low price, signaling a potential downtrend. Z-score near zero: Suggests a ranging market with no strong trend. By using the Z-score as a filter, market noise is reduced, leading to more reliable entry signals. 🔹 2. Fibonacci Levels for Trend Reversal Detection The strategy integrates Fibonacci retracement levels to identify potential reversal points in the market. High Trend Level (Fibo 23.6%): When the price surpasses this level, an uptrend is likely. Low Trend Level (Fibo 78.6%): When the price falls below this level, a downtrend is expected. Trend Line (Fibo 50%): Acts as a midpoint, helping to assess market balance. This allows traders to visually confirm trend strength and turning points, improving entry accuracy. 🔹 3. EMA Filter for Trend Confirmation (Optional) The strategy includes an optional 200 EMA (Exponential Moving Average) filter for trend validation. Price above 200 EMA: Indicates a bullish trend (long entries preferred). Price below 200 EMA: Indicates a bearish trend (short entries preferred). Enabling this filter reduces false signals and improves trend-following accuracy. 🔹 4. Multi-Level Take Profit (TP) and Stop Loss (SL) Management To ensure effective risk management, the strategy includes four Take Profit levels and a Stop Loss: Stop Loss (SL): Automatically closes trades when the price moves against the position by a certain percentage. TP1 (+0.75%): First profit-taking level. TP2 (+1.1%): A higher probability profit target. TP3 (+1.5%): Aiming for a stronger trend move. TP4 (+2.0%): Maximum profit target. This system secures profits at different stages and optimizes risk-reward balance. 🔹 5. Automated Long & Short Trading Logic The strategy is built using Pine Script®’s strategy.entry() and strategy.exit(), allowing fully automated trading. Long Entry: Price is above the trend line & high trend level. Z-score is positive (indicating an uptrend). (Optional) Price is also above the EMA for stronger confirmation. Short Entry: Price is below the trend line & low trend level. Z-score is negative (indicating a downtrend). (Optional) Price is also below the EMA for stronger confirmation. This logic helps filter out unnecessary trades and focus only on high-probability entries. 📌 Trading Parameters This strategy is designed for flexible capital management and risk control. 💰 Account Size: $5000 📉 Commissions and Slippage: Assumes 94 pips commission per trade and 1 pip slippage. ⚖️ Risk per Trade: Adjustable, with a default setting of 1% of equity. These parameters help preserve capital while optimizing the risk-reward balance. 📌 Visual Aids for Clarity To enhance usability, the strategy includes clear visual elements for easy market analysis. ✅ Trend Line (Blue): Indicates market midpoint and helps with entry decisions. ✅ Fibonacci Levels (Yellow): Highlights high and low trend levels. ✅ EMA Line (Green, Optional): Confirms long-term trend direction. ✅ Entry Signals (Green for Long, Red for Short): Clearly marked buy and sell signals. These features allow traders to quickly interpret market conditions, even without advanced technical analysis skills. 📌 Originality & Enhancements This strategy is developed based on the IronXtreme and BigBeluga indicators, combining a unique Z-score statistical method with Fibonacci trend analysis. Compared to conventional trend-following strategies, it leverages statistical techniques to provide higher-precision entry signals, reducing false trades and improving overall reliability. 📌 Summary Iron Bot Statistical Trend Filter is a statistically-driven trend strategy that utilizes Z-score and Fibonacci levels. High-precision trend analysis Enhanced accuracy with an optional EMA filter Optimized risk management with multiple TP & SL levels Visually intuitive chart design Fully customizable parameters & leverage support This strategy reduces false signals and helps traders ride the trend with confidence. Try it out and take your trading to the next level! 🚀

Phase Cross Strategy with Zone ### Introduction to the Strategy Welcome to the **Phase Cross Strategy with Zone and EMA Analysis**. This strategy is designed to help traders identify potential buy and sell opportunities based on the crossover of smoothed oscillators (referred to as "phases") and exponential moving averages (EMAs). By combining these two methods, the strategy offers a versatile tool for both trend-following and short-term trading setups. ### Key Features 1. **Phase Cross Signals**: - The strategy uses two smoothed oscillators: - **Leading Phase**: A simple moving average (SMA) with an upward offset. - **Lagging Phase**: An exponential moving average (EMA) with a downward offset. - Buy and sell signals are generated when these phases cross over or under each other, visually represented on the chart with green (buy) and red (sell) labels. 2. **Phase Zone Visualization**: - The area between the two phases is filled with a green or red zone, indicating bullish or bearish conditions: - Green zone: Leading phase is above the lagging phase (potential uptrend). - Red zone: Leading phase is below the lagging phase (potential downtrend). 3. **EMA Analysis**: - Includes five commonly used EMAs (13, 26, 50, 100, and 200) for additional trend analysis. - Crossovers of the EMA 13 and EMA 26 act as secondary buy/sell signals to confirm or enhance the phase-based signals. 4. **Customizable Parameters**: - You can adjust the smoothing length, source (price data), and offset to fine-tune the strategy for your preferred trading style. ### What to Pay Attention To 1. **Phases and Zones**: - Use the green/red phase zone as an overall trend guide. - Avoid taking trades when the phases are too close or choppy, as it may indicate a ranging market. 2. **EMA Trends**: - Align your trades with the longer-term trend shown by the EMAs. For example: - In an uptrend (price above EMA 50 or EMA 200), prioritize buy signals. - In a downtrend (price below EMA 50 or EMA 200), prioritize sell signals. 3. **Signal Confirmation**: - Consider combining phase cross signals with EMA crossovers for higher-confidence trades. - Look for confluence between the phase signals and EMA trends. 4. **Risk Management**: - Always set stop-loss and take-profit levels to manage risk. - Use the phase and EMA zones to estimate potential support/resistance areas for exits. 5. **Whipsaws and False Signals**: - Be cautious in low-volatility or sideways markets, as the strategy may generate false signals. - Use additional indicators or filters to avoid entering trades during unclear market conditions. ### How to Use 1. Add the strategy to your chart in TradingView. 2. Adjust the input settings (e.g., smoothing length, offsets) to suit your trading preferences. 3. Enable the strategy tester to evaluate its performance on historical data. 4. Combine the signals with your own analysis and risk management plan for best results. This strategy is a versatile tool, but like any trading method, it requires proper understanding and discretion. Always backtest thoroughly and trade with discipline. Let me know if you need further assistance or adjustments to the strategy!

Heikin Ashi ROC Percentile Strategy **User Guide for the "Heikin Ashi ROC Percentile Strategy"** This strategy, "Heikin Ashi ROC Percentile Strategy", is designed to provide an easy-to-use framework for trading based on the Heikin Ashi Rate of Change (ROC) and its percentiles. Here's how you can use it: 1. **Setting the Start Date**: You can set the start date for the strategy in the user inputs at the top of the script. The variable `startDate` defines the point from which the script begins executing trades. Simply input the desired date in the format "YYYY MM DD". For example, to start the strategy from March 3, 2023, you would enter `startDate = timestamp("2023 03 03")`. 2. **Adjusting the Midline, Lookback Period, and Stop Loss Level**: The `zerohLine`, `rocLength`, and `stopLossLevel` inputs allow you to adjust the baseline for ROC, the lookback period for the SMA and ROC, and the level at which the strategy stops the loss, respectively. By tweaking these parameters, you can fine-tune the strategy to better suit your trading style or the particular characteristics of the asset you are trading. 3. **Understanding the Trade Conditions**: The script defines conditions for entering and exiting long and short positions based on crossovers and crossunders of the ROC and the upper and lower "kill lines". These lines are defined as certain percentiles of the ROC's highest and lowest values over a specified lookback period. When the ROC crosses above the lower kill line, the script enters a long position; when it crosses below the upper kill line, it exits the position. Similarly, when the ROC crosses below the upper kill line, the script enters a short position; when it crosses above the lower kill line, it exits the position. In my testing, this strategy performed best on a day and hour basis. However, I encourage you to experiment with different timeframes and settings to see how the strategy performs under various conditions. Remember, there's no one-size-fits-all approach to trading; what works best will depend on your specific circumstances, goals, and risk tolerance. If you find other useful applications for this strategy, please let me know in the comments. Your feedback is invaluable in helping to refine and improve this tool. Happy trading!

Co-relation and St-deviation Strategy - BNB/USDT 15min This indicator based on statistical analysis. it uses standard deviation and its co-relation to price action to generate signals. and following indicators has been used to calculate standard deviation and its co-relation values. finally it is capable to identify market changes in bottoms to pic most suitable points. 1. Parabolic SAR (parabolic stop and reverse) 2. Supertrend 3. Relative strength index (RSI) 4. Money flow index (MFI) 5. Balance of Power 6. Chande Momentum Oscillator 7. Center of Gravity (COG) 8. Directional Movement Index (DMI) 9. Stochastic 10. Symmetrically weighted moving average with fixed length 11. True strength index (TSI) 12. Williams %R 13. Accumulation/distribution index 14. Intraday Intensity Index 15. Negative Volume Index 16. Positive Volume Index 17. On Balance Volume 18. Price-Volume Trend 19. True range 20. Volume-weighted average price 21. Williams Accumulation/Distribution 22. Williams Variable Accumulation/Distribution 23. Simple Moving Average 24. Exponential Moving Average 25. CCI (commodity channel index) 26. Chop Zone 27. Ease of Movement 28. Detrended Price Oscillator 29. Advance Decline Line 30. Bull Bear Power

Ultimate Ichimoku Cloud Strategy The goal of this strategy script is to provide the ultimate experience to anyone interested in the Ichimoku Kinkō Hyō (Ichimoku Cloud). The script is designed to be highly customizable and allows the user to set a custom trade date range and select any combination of inputs and conditions that satisfy their goals. Additionally, the script allows the user to visually see any combination of their set conditions by clicking the " Show Conditions Visually " checkbox. Doing so will color the background in a different color where the conditions align. Finally, a simple Stop/Take profit is added for those that wish to exit based on percentages over Ichimoku conditions. As always, please let me know if there are any bugs, something useful that could be added or if you need some help. Leave a like if you wish!

Technicals Rating Strategy v420 Ichimoku, HMA, RSI, Stoch, CCI, MACD, Technicals Rating Strategy is a trading Bot that looks at these chosen indicators and assigns a value to each, then calculates the result of adding each indicators result value to a overall rating, which is then compared to a user set level. Here seen on Bitcoin, it has the broker fee included in the testing result. If you choose to use it on Forex etc, perhaps remove the broker fee which is unrealistic for FX trading. It has a Win/Loss ratio of only 40% wins, but it catches the big moves and thats the main thing, so if ELON MUSK had of used this strategy instead of BUY and HOLD, he could of made 700% instead of 7% (as is, may, 2021) Mainly intended for use as Automated TRADE BOT. (imagine if Elon Musk did use this bot with his 1.3 billion $ worth of BTC, the drawdown would be like, half a billion or something haha (p.s.- use smaller lotsize % to get smaller drawdown, but then smaller profit....) ) For use with any pair and timeframe. In fact there is a timeframe setting to set the strategy to look at alternative timeframe from chart, but as default will just be set to charts timeframe.

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