One residual GRU per stock for 1,726 Taiwan stocks, per-stock backtests and a screening rule. The README documents why the stored results are not realistic (look-ahead, zero costs, in-sample selection).
GUI für VectorBT Pro und KI-gestützte Research-Werkbank: algorithmische Crypto-Trading-Strategien als JSON-Spec entwickeln, in Multiparameter-Läufen backtesten und über Test-Sets und Leaderboard vergleichen. Kein Live-Trading.
Trading Strategy Backtesting Suite helps traders and quants validate ideas with event-driven backtesting, portfolio simulation, and Python backtesting workflows. Run free backtesting trading experiments on forex, options, and crypto data before risking capital in live markets.
Node-based drag-and-drop trading strategy builder with VectorBT backtesting
Cost-aware momentum backtester + live paper-trading bot. Python/VectorBT. Fees & slippage modelled in every run; in-sample vs out-of-sample always split.
Local AI Investing Platform — v3.1 Master Spec. Hybrid AI-assisted quant. LangGraph + Temporal, DeepSeek R1 + Qwen 2.5, VectorBT + Nautilus, Next.js 16 PWA.
이동평균 교차 전략 백테스팅·종목 스크리너 대시보드 · vectorbt, Streamlit
Institutional-style quantitative research and systematic trading architecture — research, walk-forward validation, portfolio construction, risk controls, VectorBT backtesting, and IBKR execution.
Multi-agent LLM portfolio management system with a 21-year walk-forward backtest (2005–2025). Diploma thesis, University of Thessaly.
This quantitative pipeline engineers and compares two models: a baseline using news sentiment (FinBERT) and an enhanced ensemble model adding options volatility. Both are validated with rigorous backtesting and Fama-French analysis to prove the superiority of the multi-factor ensemble strategy.
SignalChain Strategy Backtest Demo
Systematic trading bot with VectorBT.pro - crypto and stocks
The documentation repository for https://docs.signal-logic.io, an all inclusive road to creating a Live Paper Trading System.
A staged research pipeline for systematic trading strategies (S1 screen, S2 optimize, S3 validate, S4 significance, S5 portfolio) with vectorbt backtests and keyless yfinance data.
Торговый робот на пересечении скользящих средних для акций Сбербанка с доходностью +18.38% (2018 г.)
Paper-only trading research lab: 3 quantitative strategies, walk-forward optimization, Claude-powered analysis, IBKR paper execution, Telegram control. Production patterns for financial automation.
Institutional-grade hybrid pipeline algorithmic trading system using VectorBT, CCXT, and NautilusTrader
Do technical indicators predict next-day stock direction? ~80 indicators, five feature selection methods, a Bidirectional GRU and a vectorbt backtest say no — 50.75% accuracy, losing to buy-and-hold on 14 of 15 stocks.
VelaQuant: event-driven US equities research, backtesting, and paper-trading infrastructure
Genetic algorithm that evolves combinations of 24 technical indicators to discover robust trading strategies. Streamlit dashboard with vectorbt backtesting.
To associate your repository with the vectorbt topic, visit your repo's landing page and select "manage topics."