DUCKQUANT / THE QUANT & AI DIRECTORY
976 resources, ranked by in-directory PageRank
Cloud crypto trading bots with grid, DCA, a visual strategy designer, backtesting, and paper trading
Quiltt’s low-code platform empowers anyone to launch modern consumer fintech experiences, no backend required
Sanctions screening API and review dashboard for checking people and companies. Free synthetic sandbox; paid production screening
Tests bt and Quantopian Zipline as backtesting frameworks for coin trading strategy
Mobile portfolio perp position tracking
Hyperliquid and HyperEVM portfolio tracker covering multi-wallet positions across 11+ protocols.
App-specific perp L1 optimised for capital efficiency with up to 100x leverage on perpetuals.
Security-focused multi-chain EVM wallet by DeBank with pre-transaction risk simulation.
Explore this resource at its source website for documentation and current information.
A pure Go port of TA-Lib (http://ta-lib.org)
high-performance and event-driven trading system built using Rust
Chinese quantitative research and backtesting platform for A-share strategy development.
Js - Automated, open source crypto trading and backtesting platform
Polymarket backtester that fills orders by walking the historical order book level by level, with Polymarket's taker-fee curve, order latency and settlement at…
Free - 300+ free crypto risk & trading calculators: liquidation price, position sizing, funding rate carry, DCA backtesting, options greeks and more. No signup
Query TradingView's financial data with a type-safe, fluent TypeScript API. Screen stocks, crypto, forex, bonds, and futures using 13,000+ data fields. The…
Chinese fund investment strategy analysis toolkit with backtesting for fund allocation research.
Open-source Freqtrade strategy for Bybit with a novel cascading early-loss exit ladder (-1.5% at 2h, BE at 4h, +0.5% at 8h, +1% at 16h,…
Python toolkit for quantitative finance: stock analysis, technical indicators, strategy backtesting, portfolio optimization, and financial modeling.
Web | - Build, backtest, and deploy automated trading strategies for prediction markets including Kalshi and Polymarket.
a server side application for perform triangular arbitrage
Describe trend, momentum, volatility, volume, and cycles. Representative subjects: SMA, EMA, RSI, MACD, ADX, ATR.
Moving average convergence/divergence: the gap between a fast and a slow EMA, its own EMA as a signal line, and the difference between them…
Hull moving average: a weighted combination of two WMAs de-lagged against each other, then re-smoothed over sqrt(window).
Triple exponential moving average: 3 × EMA − 3 × EMA(EMA) + EMA(EMA(EMA)).
Double exponential moving average: 2 × EMA − EMA(EMA). Subtracting the second smoothing pass cancels most of the lag a single EMA introduces, at…
Derive, implement, and verify an SMA-seeded Wilder moving average without hiding initialization or state.
Determine whether an algorithm works out of sample. Representative subjects: Walk-forward testing, purged cross-validation, embargo, bootstrap confidence intervals, reality checks, sensitivity analysis.
Search feasible decisions and quantify uncertainty. Representative subjects: Linear/quadratic/mixed-integer optimization, dynamic programming, stochastic optimization, Monte Carlo, bootstrap, scenario generation.
Select legally and economically useful realization paths. Representative subjects: FIFO/LIFO/specific lot, average cost, wash-sale checks, gain/loss harvesting, lot matching, cost-basis adjustment.
Build compliant investment and financing products. Representative subjects: Business-activity screens, financial-ratio screens, purification, Sukuk cash-flow models, Murabaha schedules, Ijara.
Kronos Research-backed exchange offering spot, perpetual futures and an order-flow oriented trading terminal.
Implementation of HFT backtesting simulator and Stoikov strategy
Research and development organisation behind MEV-Geth, MEV-Boost and the Flashbots Protect RPC.
Event-driven backtest/realtime quantitative trading system. Python · 77
Transparency project tracking MEV extraction and sandwich attacks on Ethereum and other chains.
