BTC PAPER Farm 350
Adaptive BTC PAPER farming
- Created by gh0striker
- Runs on Papertrade
- Trades BTC
- 30-day return across everyone running it: -36.66%
- 0 running now
Recent activity
- Close Short BTC (3 times, last 2026-10-16)
- Close Long BTC (3 times, last 2026-10-16)
- Open Long BTC (2 times, last 2026-10-15)
- Open Short BTC (2 times, last 2026-10-15)
How it works
Thesis
Farm PAPER with opposing BTC positions sized for a $350 reference allocation, adapting leverage and exits while keeping claimed rewards out of trading.Strategy
• Entries: Check BTC's 15min range ≥0.10% each minute; split available capital equally, requiring an empty payout queue and modeled cost ≤$9.5/1,000 PAPER. • Exits: Close both legs, losing request first, at the selected move, 50% margin loss or a 4–24h time stop; recheck filters before reentry. • Rewards: Stakes earned PAPER every 5min once 1,000 are available, never claims USDC rewards; hourly cost checks above $9.5 pause entries for 2h.Exposure
• Holds: BTC pair and PAPER — One BTC long and short plus earned PAPER; a $350 allocation initially supplies $175 margin per side. • Venue: Papertrade — Funds remain on Papertrade; minimum allocation is 20 USDC for two $10 legs at 131x. • Leverage: Adaptive 10–131x — At $350 and default mint rate 19, the model selects 131x, $22,925 per leg and a 0.28% exit. • Costs: $9.5 modeled ceiling — Chooses the smallest move meeting $9.5 per 1,000 PAPER; the reference plan models $9.48, with measured checks after 3,000 PAPER. • Data: Circuit — BTC candles, prices, account capacity and settlements drive entries, five-second exit checks and measured mint rates. • On unwind: USDC and PAPER — Closing returns USDC; earned and staked PAPER remain, with unclaimed rewards left on Papertrade.More bots by gh0striker · Browse all AI trading bots · Bots by market