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Moving Average Shift WaveTrend StrategyMoving Average Shift WaveTrend Strategy 🧭 Overview The Moving Average Shift WaveTrend Strategy is a trend-following and momentum-based trading system designed to be overlayed on TradingView charts. It executes trades based on the confluence of multiple technical conditions—volatility, session timing, trend direction, and oscillator momentum—to deliver logical and systematic trade entries and exits. 🎯 Strategy Objectives Enter trades aligned with the prevailing long-term trend Exit trades on confirmed momentum reversals Avoid false signals using session timing and volatility filters Apply structured risk management with automatic TP, SL, and trailing stops ⚙️ Key Features Selectable MA types: SMA, EMA, SMMA (RMA), WMA, VWMA Dual-filter logic using a custom oscillator and moving averages Session and volatility filters to eliminate low-quality setups Trailing stop, configurable Take Profit / Stop Loss logic “In-wave flag” prevents overtrading within the same trend wave Visual clarity with color-shifting candles and entry/exit markers 📈 Trading Rules ✅ Long Entry Conditions: Price is above the selected MA Oscillator is positive and rising 200-period EMA indicates an uptrend ATR exceeds its median value (sufficient volatility) Entry occurs between 09:00–17:00 (exchange time) Not currently in an active wave 🔻 Short Entry Conditions: Price is below the selected MA Oscillator is negative and falling 200-period EMA indicates a downtrend All other long-entry conditions are inverted ❌ Exit Conditions: Take Profit or Stop Loss is hit Opposing signals from oscillator and MA Trailing stop is triggered 🛡️ Risk Management Parameters Pair: ETH/USD Timeframe: 4H Starting Capital: $3,000 Commission: 0.02% Slippage: 2 pips Risk per Trade: 2% of account equity (adjustable) Total Trades: 224 Backtest Period: May 24, 2016 — April 7, 2025 Note: Risk parameters are fully customizable to suit your trading style and broker conditions. 🔧 Trading Parameters & Filters Time Filter: Trades allowed only between 09:00–17:00 (exchange time) Volatility Filter: ATR must be above its median value Trend Filter: Long-term 200-period EMA 📊 Technical Settings Moving Average Type: SMA Length: 40 Source: hl2 Oscillator Length: 15 Threshold: 0.5 Risk Management Take Profit: 1.5% Stop Loss: 1.0% Trailing Stop: 1.0% 👁️ Visual Support MA and oscillator color changes indicate directional bias Clear chart markers show entry and exit points Trailing stops and risk controls are transparently managed 🚀 Strategy Improvements & Uniqueness In-wave flag avoids repeated entries within the same trend phase Filtering based on time, volatility, and trend ensures higher-quality trades Dynamic high/low tracking allows precise trailing stop placement Fully rule-based execution reduces emotional decision-making 💡 Inspirations & Attribution This strategy is inspired by the excellent concept from: ChartPrime – “Moving Average Shift” It expands on the original idea with advanced trade filters and trailing logic. Source reference: 📌 Summary The Moving Average Shift WaveTrend Strategy offers a rule-based, reliable approach to trend trading. By combining trend and momentum filters with robust risk controls, it provides a consistent framework suitable for various market conditions and trading styles. ⚠️ Disclaimer This script is for educational purposes only. Trading involves risk. Always use proper backtesting and risk evaluation before applying in live markets.
Strategi Pine Script®
oleh PakunFX
T3 Averages Backtest This indicator plots the moving average described in the January, 1998 issue of S&C, p.57, "Smoothing Techniques for More Accurate Signals", by Tim Tillson. This indicator plots T3 moving average presented in Figure 4 in the article. T3 indicator is a moving average which is calculated according to formula: T3(n) = GD(GD(GD(n))), where GD - generalized DEMA (Double EMA) and calculating according to this: GD(n,v) = EMA(n) * (1+v)-EMA(EMA(n)) * v, where "v" is volume factor, which determines how hot the moving average’s response to linear trends will be. The author advises to use v=0.7. When v = 0, GD = EMA, and when v = 1, GD = DEMA. In between, GD is a less aggressive version of DEMA. By using a value for v less than1, trader cure the multiple DEMA overshoot problem but at the cost of accepting some additional phase delay. In filter theory terminology, T3 is a six-pole nonlinear Kalman filter. Kalman filters are ones that use the error — in this case, (time series - EMA(n)) — to correct themselves. In the realm of technical analysis, these are called adaptive moving averages; they track the time series more aggres-sively when it is making large moves. Tim Tillson is a software project manager at Hewlett-Packard, with degrees in mathematics and computer science. He has privately traded options and equities for 15 years. You can change long to short in the Input Settings WARNING: - For purpose educate only - This script to change bars colors.
Strategi Pine Script®
oleh HPotter
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