pleasefixai/kraken-cli
Guides to trade spot and futures on Kraken: orders, risk, paper trades, staking and tax.
Price alerts, threshold monitoring, and notification triggers for agents.
Progress from manual trading to full agent autonomy with controlled risk at each level.
Capture the spot-futures price spread with delta-neutral basis trades.
Dollar cost averaging with scheduled buys and performance tracking.
Discover staking strategies, allocate funds, and track earn positions.
Handle order failures, network errors, and duplicate submissions safely.
Minimize trading fees through maker orders, volume tiers, and fee-aware execution.
Earn funding rate payments by positioning on the paying side of perpetuals.
Manage deposits, withdrawals, and wallet transfers safely.
Futures-specific risk management: leverage, funding rates, margin, and liquidation awareness.
Place, manage, and monitor futures orders across the full lifecycle.
Grid trading strategy with layered buy and sell orders across a price range.
Run the Autoresearch Lab lifecycle end-to-end: freeze a hypothesis with mechanical success criteria and a sealed session plan, drive recorded and replayed paper runs, score them honestly, and read the verdict — resumable from disk at every step, designed for /loop.
Prevent futures liquidation through margin monitoring and emergency procedures.
Read market state with low-noise data pulls and streaming updates.
Connect kraken-cli as an MCP server for native tool calling without subprocess wrappers.
Monitor multiple trading pairs simultaneously for screening and comparison.
Complete reference for all spot and futures order types and modifiers.
Test strategy logic on paper trading before touching live funds.
Promote a validated paper strategy to live trading, gated on lab experiment evidence plus safety checks.
Paper-trading sandbox over workspace sessions: record live market data and agent decisions inside a session window, replay and score it later.
Portfolio analysis, P&L tracking, trade history, and export reports.
Understand Kraken API rate limits and adapt agent behavior when limits are hit.
Portfolio rebalancing to maintain target allocations across assets.
Operational risk controls for live agent trading sessions.
Install kraken-cli, create API credentials, and go from paper trading to live in under five minutes.
Shared runtime contract for kraken-cli: auth, invocation, parsing, and safety.
Execute spot orders with validation, confirmation gates, and post-trade checks.
Manage stop-loss and take-profit orders for risk-bounded positions.
Create and manage subaccounts with inter-account transfers.
Export trade history, ledgers, and cost basis data for tax reporting.
Execute large orders as time-weighted slices to reduce market impact.
Real-time data streaming via WebSocket for spot and futures.
Enter a spot-futures basis trade when the premium exceeds a target threshold.
Generate a daily profit and loss summary from trades and balances.
Automatically stop trading when portfolio drawdown exceeds a threshold.
Compare earn strategy yields across assets and lock types to find the best rate.
Cancel all orders and close all positions in an emergency.
Track 30-day trading volume progress toward the next fee tier.
Scan perpetual contracts for attractive funding rate carry opportunities.
Hedge a spot holding with a short futures position to lock in value.
Deploy a grid trading bot with paper validation and live safety controls.
Generate a morning market summary with prices, volume, and portfolio state.
Monitor multiple pairs for price breakouts from defined ranges.
Backtest a trading strategy using paper trading against live prices.
Example driver: drive a time-based dollar-cost-averaging hypothesis into a recorded session.
Example driver: dip-triggered dollar-cost-averaging on a live WebSocket stream, recorded to a session.
Example driver: drive a price-level-alert hypothesis into a recorded session.
Example driver: drive a portfolio-rebalance hypothesis into a recorded session.
Example driver: turn incoming webhook signals into validated paper trades inside a recorded session.
Export a portfolio snapshot with balances and valuations to CSV.
Set up price level alerts that notify when key levels are crossed.
Narrate a recorded session's post-mortem: replay the window, explain the P&L decomposition in plain terms, and deliver a presentation-ready summary.
Set up and run a dollar cost averaging bot from paper test to live.
Rotate capital between subaccounts based on strategy performance.
Monitor order book depth and bid-ask imbalance for liquidity signals.
Ride a trend with a trailing stop that locks in profits on reversal.
Run a weekly portfolio rebalance to maintain target asset allocations.
Safely withdraw funds to a pre-approved cold storage address.