moltradeOperate the Moltrade trading bot (config, backtest, test-mode runs, Nostr signal broadcast, exchange adapters, strategy integration) in OpenClaw.
Install via ClawdBot CLI:
clawdbot install ai-chen2050/moltradeMoltrade is a decentralized, automated trading assistant that lets you run quant strategies, share encrypted signals, and allow others to copy your trades—all securely via the Nostr network. Earn reputation and credits based on your trading performance.
YOUR 24/7 AI TRADER ! EARNING MONEY WHILE YOU'RE SLEEPING.
   
Moltrade balances security, usability, and scalability. Key advantages include:
1) Run Your Bot ──→ 2) Generate & Encrypt ──→ 3) Relay ──→ 4) Copy & Execute ──→ 5) Verify & Earn
clawhub search moltrade
clawhub install moltrade
git clone https://github.com/hetu-project/moltrade.gitcd moltrade/trader && pip install -r requirements.txtpython main.py --init (prompts for relayer URL, wallet, nostr, copy-trade follower defaults, and bot registration), so you can approve prompts, handle the wallet private key entry yourself, and capture the relayer’s returned relayer_nostr_pubkey when registering the bot.relayer_nostr_pubkey gets written back to the config.trading.exchange, trading.default_strategy, nostr.relays).pip install -r trader/requirements.txt.python trader/backtest.py --config trader/config.example.json --strategy --symbol --interval 1h --limit 500 .config.json exists (run python main.py --init if not) and trading.exchange set (default hyperliquid).python trader/main.py --config config.json --test --strategy --symbol --interval 300 .trading_bot.log; never switch to live without explicit user approval.--test to hit mainnet.python trader/main.py --config config.json --strategy --symbol .nostr block: nsec, relayer_nostr_pubkey, relays, sid.SignalBroadcaster is wired in main.py. In test mode, verify send_trade_signal / send_execution_report run without errors.trader/exchanges/ matching HyperliquidClient interface (get_candles, get_balance, get_positions, place_order, etc.).trader/exchanges/factory.py keyed by trading.exchange.trading.exchange and rerun backtest/test-mode.trader/strategies/INTEGRATION.md to subclass BaseStrategy and register in get_strategy.strategies.; backtest, then test-mode before live.Generated Mar 1, 2026
A retail trader uses Moltrade to automate their personal trading strategies across multiple crypto exchanges, running backtests and live bots while maintaining full control of private keys. They can broadcast encrypted signals via Nostr to share trades with a small group of trusted followers, earning credits based on performance without relying on cloud custody.
A quantitative analyst integrates Moltrade with OpenClaw to develop and backtest new trading strategies, leveraging automated suggestions for improvements. They deploy strategies in test mode to validate performance before going live, using the bot's exchange adapters to trade on platforms like Hyperliquid while keeping all sensitive data local.
An experienced trader sets up Moltrade to broadcast encrypted trading signals via Nostr, allowing subscribers to copy trades automatically. They earn reputation and credits through the incentive system, with the cloud acting as a lightweight relay for signal distribution without accessing private keys or funds.
A DeFi project integrates Moltrade to automate trading strategies for liquidity provision or arbitrage across decentralized exchanges. The bot uses client-side key management to interact with smart contracts securely, with potential future migration to decentralized relay networks for enhanced censorship resistance.
A trading education platform uses Moltrade in test mode to demonstrate strategy execution and backtesting to students, without risking real funds. Instructors can broadcast signals via Nostr for live examples, while learners follow along with copy-trading features to practice in a controlled environment.
Traders offer premium encrypted trading signals through Moltrade's Nostr broadcast, charging subscribers a monthly fee for access. Revenue is generated from subscription payments, with additional incentives via the credit system based on signal performance and follower engagement.
Developers or firms license Moltrade's technology to create customized trading bots for clients, integrating specific strategies and exchange adapters. Revenue comes from licensing fees, setup costs, and ongoing maintenance services, leveraging the open-source core for scalability.
Operators run decentralized relay nodes for Moltrade's signal broadcast, earning credits or tokens for relaying encrypted data efficiently. Revenue is generated through network incentives, with potential for monetization via transaction fees or governance tokens in a future decentralized ecosystem.
đź’¬ Integration Tip
Ensure Python and pip are installed, and carefully manage config files and private keys during setup to avoid security risks.
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