Harvest volatility.
Solift is an autonomous trading terminal on Solana designed to rotate between SOL and USDC with cost-aware execution. Deposit, track live metrics, and withdraw when funds are available.
Overview
Solift runs an automated, rules-based execution loop to rebalance between SOL and USDC when internal conditions suggest a favorable edge relative to costs (fees, slippage, and price impact). It's a highly fine-tuned DCA model to profit from natural volatility on the market.
Interface
- User bar: Active Funds (allocated), Gains (PnL), Available (withdrawable).
- KPIs: pool value, global PnL, last 24h PnL, SOL price, internal anchors.
- Chart: SOL/USDC with anchors and decision context.
- Trades: 1min-loop execution list (direction, price, amount).
- History: equity curve showing deposits / withdrawals / profits.
- Terminal: strategy state + operational events.
Tech stack
- Network: Solana mainnet
- Execution: DEX aggregation (Jupiter quotes + swaps)
- Infra: RPC + confirmation tracking + periodic refresh
- Security: Strong 2FA encryption between server and client-side - Google/Phantom authentification or Telegram privacy.
Solift is engineered for frequent cycles while enforcing cost/edge gates to avoid “overtrading” in bad conditions.
Method
Think of Solift as a volatility-harvesting engine. It doesn’t try to “predict” a single future price. It tries to operate within a measurable framework:
- Anchors: a trend reference and an execution reference (trade anchor).
- Edge gating: trades only occur when expected edge can reasonably exceed costs.
- Exposure logic: allocation between SOL and USDC can adapt based on market phase (DCA posture).
- Safety checks: slippage/impact limits and route/infra conditions.
In choppy regimes, frequent micro-opportunities tend to appear. In low-volatility or one-way regimes, the engine may trade less, or shift posture to reduce unnecessary churn.
AI Processing
Solift is incorporating LLM-assisted analysis to enrich context on recent SOL price behavior (e.g., regime classification and narrative signals). The LLM is not treated as an oracle: it is a signal contributor inside a rules-based system that remains bounded by risk controls.
Important: LLMs have been trained with recent Solana price action, outputs can be wrong, unstable, or overfit. Solift’s execution logic is still passing cost gates and safety checks before taking any action.
Compounding simulator
This simulator shows how compounding behaves for a chosen daily rate. Use it to understand the math — not as a promise. Default is an example value you can change.
Inputs
• Compounding is powerful
Risks
- Market risk: SOL moves fast — drawdowns happen.
- Execution risk: slippage, impact, route failure, congestion.
- Infrastructure risk: RPC instability, latency, degraded confirmations.
- Main risk for Solift: Brutal moves of Solana price, leading to over-engaged DCA. Funds might be unavailable until the market recovers (for better repositioning). Current Solift script can run max. -15% daily dump on the Solana chart.
Best practice: start small, observe behavior across regimes, and use sizing you can tolerate.