Price Channel Strategy (Short Only) by michelathayde808
By michelathayde808
Performance Metrics
- Author: michelathayde808
- Symbol: OKX:ETHUSDT.P
- Timeframe: 5 minutes
- Net P&L: +201,000.00 USDT (+20.10%)
- Win Rate: 57.7%
- Profit Factor: 1.363
- Max Drawdown: 12,364.00 USDT (1.20%)
- Total Trades: 1,307
Description
Please follow my x account to get more info:@CTF_bule_lotus1. Core Logic: Price Channel Breakout (Downside)The strategy uses one structural signal:Lowest Low of the past 20 bars.When the market breaks below this 20-bar low, a stop entry is triggered to open a short position.Key design principles:No predictionNo attempt to call topsPure reaction to market-confirmed downward momentumThis makes the strategy a clean representation of short-term downside inertia.2. Directional Constraint: Short OnlyThis version trades only short positions, with no long exposure.Rationale:To isolate and study ETH’s microstructure during downside movesTo avoid noise from symmetric long/short signal conflictsTo treat this model as part of a controlled long–short comparative studyBy eliminating long trades, the strategy provides clearer insight into bearish breakout behavior.3. Risk Management: Fixed TP / SLImmediately after entry, two fixed exit conditions are defined:Take Profit: +10 price unitsStop Loss: –10 price unitsBoth values automatically convert into tick units using syminfo.mintick.This reflects a classic scalping pattern:Small but frequent profitsFast stop-outsHigh turnoverSensitivity to short bursts of momentumSuch fixed exits are useful for analyzing whether short-lived selloffs contain exploitable structure.4. Transaction CostsFor this specific analysis, transaction fees are intentionally excluded.This allows:A clearer view of the raw statistical edgeIsolation of pure signal behaviorDirect comparison with fee-inclusive results in prior testsThe fee-free backtest highlights the “theoretical edge” before real-market frictions are applied.5. Data & Testing Window (2016–2025)The model is tested on the complete ETH dataset from 2016 to 2025, without subjective filtering:No removal of black swan eventsNo skipping flash crashesNo curve-fitting on sub-periodsThis ensures the results reflect ETH’s full structural history, both stable and chaotic.6. Interpretation & Research ValueThis strategy is not presented as a predictive or production-ready trading system.Its value lies in research utility:Understanding ETH’s short-term downward momentumValidating breakout-based scalping structuresGenerating baseline data for more complex modelsSupporting long-only vs. short-only comparative system designRemoving fees helps quantify the signal strength itself, while fee-inclusive tests can later show how much of that edge survives realistic trading conditions.