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1-Hour Swing Momentum · Swing Trading Engine

Plume (PLUME) 1-Hour Swing Momentum Multi-Timeframe RSI Confluence Swing

Algorithmic 1-Hour Swing Momentum Multi-Timeframe RSI Confluence Swing strategy for Plume (PLUME). Calibrated for 12 to 48 hours with 200-period moving average alignment and multi-hour liquidity sweeps. Paper trade on live Binance data.

Plume / USDT BINANCE LIVE (1H)
Timeframe: 1H Target Horizon: 12 to 48 hours
Timeframe Specifications

1-Hour Swing Momentum Calibration & Execution Dynamics

Execution Horizon
12 to 48 hours

Expected duration from algorithmic entry trigger to defensive target exit.

Noise Filter
1H Filter

200-period moving average alignment and multi-hour liquidity sweeps

Best Use-Case
Optimal Intent

Intermediate swing trades capturing multi-day trend legs

Mathematical Engine & Formula

RSI = 100 - (100 / (1 + RS)), where RS = AverageGain / AverageLoss

Entry Condition: Daily 50 EMA is sloping upward AND 1-hour RSI drops below 32 and crosses back above 35 with volume confirmation.

Exit Condition: Exit when 1-hour RSI crosses above 70 or price achieves a 1:2.0 risk-reward expansion.

Execution & Cost Transparency (1H)

Most backtests fabricate impossible returns by assuming zero fees and zero slippage. Zengtrade factors realistic market realities into every paper trade on Plume:

  • Spot Friction: Tight stop loss minimizes downside exposure to less than 1.5% of trade equity per execution.
  • Risk Guidance: Trail stop loss at the previous 1-hour swing pivot once trade reaches 1R profit.
  • 35 bps Friction Model: Exchange taker fee (10 bps) + maker fee (10 bps) + dynamic slippage buffer (15 bps).
✓ Quantitative Methodology & YMYL Risk Governance

Authored & Verified by Zengtrade Quantitative Research: Every model parameter for Plume (PLUME) on 1-Hour Swing Momentum is calibrated on historical Binance spot tick archives with a 35 bps round-trip friction model. Zengtrade operates under a strict non-custodial, paper-first mandate: we never hold client deposits, never charge commissions on trading volume, and never fabricate hypothetical return curves. Forward-test evidence must be established before live deployment. Read our Regime Engine Methodology and Risk Disclosures.