Gravity Trend | ADX Strength Meter & Quality-Scored DMI System — Strategy by blitz_locked
By blitz_locked
Performance Metrics
- Author: blitz_locked
- Symbol: COINBASE:ETHUSD
- Timeframe: 1 day
- Win Rate: 58.9%
- Profit Factor: 2.271
Description
A fully modular DMI/ADX trend-following strategy built around a live Trend Quality Score rather than a raw crossover signal.Instead of entering on the initial DI crossover, this script waits for pullback entries within an already-confirmed trend regime (DI direction + ADX strength + optional EMA filter), aiming to capture better average entry prices than chasing the initial signal.Core features:Pullback entry engine — enters on EMA reclaim within a confirmed DMI trend regime (toggle back to classic DI crossover anytime)Trend Quality Score (0–100) — a weighted composite of ADX level, DI spread, ADX slope, and EMA slope, visualized as a glowing trend line whose brightness scales with signal qualityPeak-ADX decay exit — tracks the highest ADX reached since entry and exits once trend conviction decays a set percentage off its peak, independent of price actionTrue initial stop anchored to strategy.position_avg_price, transitioning into a Chandelier-style ATR trailing stop that only ratchets in your favorVolatility- and quality-adjusted position sizing — risk per trade scales with ATR and with the current Trend Quality ScoreCooldown filter to avoid re-entering immediately after a stop-out in the same chop zoneLive dashboard table showing ADX, DI spread, trend score, position status, and a self-updating win-rate table bucketed by ADX strength regime at entry — so you can see empirically which trend-strength conditions are actually working on your instrumentEvery major mechanic (EMA filter, DI spread minimum, pullback mode, Chandelier trail, ADX decay exit, cooldown, quality-based sizing, and each individual Trend Score component) is independently toggleable — designed for methodical A/B testing rather than a fixed black-box system.This is a trend-following strategy, not mean-reversion. It is intended for educational and research purposes. Past performance shown in backtests does not guarantee future results — always forward-test and paper-trade before risking real capital, and adjust default parameters (ADX threshold, ATR multiples, EMA lengths) to suit your instrument and timeframe.