ruflo-neural-trader
claudeNeural trading strategies — self-learning LSTM/Transformer/N-BEATS models with Rust/NAPI backtesting
9 skills · 1 command · 4 agents
Backtest Taiwan and US stock strategies on real market data with the FinLab Python package: data access, backtesting, factor research, and 60+ strategy examples.
Plugin finlab-plugin from marketplace finlab-ai in koreal6803/finlab-ai. Commands read from the repo's manifest — 6 days ago.
finlabBacktest and research stock strategies with the FinLab Python package on real market data: Taiwan stocks (台股) first, plus US, KR, JP, HK equities and ETFs/funds. Use whenever the user wants to backtest a strategy, screen stocks, or pull Taiwan stock data such as adjusted prices, monthly revenue, fin
Neural trading strategies — self-learning LSTM/Transformer/N-BEATS models with Rust/NAPI backtesting
9 skills · 1 command · 4 agents
Quantitative analysis, algorithmic trading strategies, financial modeling, portfolio risk management, and backtesting
2 skills · 2 agents
Eleven Claude skills for day trading: a chart scanner, a news monitor, an entry timer, an exit planner, a time machine that replays 10,000 sessions, a risk manager, a budget manager, an order executor (paper by default, never without your yes), price alerts, an earnings analyst and a Pelosi tracker.
11 skills
TradingView MCP server for market prices, screeners, sentiment, backtesting, and technical analysis.
1 skill
Backtest trading strategies with historical data, performance metrics, and risk analysis
1 skill · 1 command
Skills and a local MCP server for portfolio risk on supplied data, with VaR, Expected Shortfall, backtests, stress tests and counterparty, credit and FRTB figures.
14 skills · 1 MCP server
This page updates itself from your repo. Add the badge to your README, or get it Featured to pin it above the organic results with a followed link to your site.