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Knowledge library

Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.

Quant Q&A
20,364 documents
SuperMind
12,226 documents
OKX Learn
8,431 documents
Strategy library
7,910 documents
MQL5 code base
7,090 documents
BigQuant
3,481 documents
Bitget Academy
3,298 documents
MQL5 articles
3,012 documents
TradingView scripts
1,976 documents
ProRealCode
1,507 documents
Deribit Insights
1,232 documents
Machine Learning for Trading
1,124 documents
arXiv papers
1,033 documents
Amberdata research
766 documents
FMZ forum
682 documents
FMZ digest
662 documents
vn.py community
560 documents
QuantInsti blog
511 documents
Galaxy Research
340 documents
QuantStart
246 documents
Stratmill research code
219 documents
Robot Wealth
195 documents
NautilusTrader
191 documents
Hummingbot docs
181 documents
Paradigm research
175 documents
Lumibot
164 documents
Kraken Learn
163 documents
Quant course library
157 documents
OctoBot
152 documents
Cryptohopper blog
144 documents
Systematic trading blog (Rob Carver)
132 documents
Qlib
116 documents
TqSdk
86 documents
Quantpedia
86 documents
Hyperliquid docs
79 documents
Freqtrade
68 documents
Hudson & Thames
62 documents
Awesome Systematic Trading
61 documents
backtrader
54 documents
vn.py
50 documents
Binance API docs
45 documents
Quantopian lectures
45 documents
FMZ guides
38 documents
pysystemtrade
34 documents
Freqtrade docs
32 documents
quant-trading
31 documents
FinRL
28 documents
Zipline
22 documents
FMZ live strategies
21 documents
Jesse
17 documents
pyfolio
16 documents
WonderTrader
14 documents
Alphalens
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

29,558 documents

Amberdata research

The podcast account follows Jake Ostrovskis’s move from global macro trading into crypto OTC markets. It describes his focus on fair value and volatility dislocations, and the OTC desk’s role in arranging large or tailored trades across spot, options, CFDs,…

CryptoOptionsVolatilityMarket making
SuperMind

This stock selection rule screens for A-shares with a daily high-low range above 1% and turnover between 2% and 9%. It combines a volatility measure with trading activity and a market classification filter. The document also sketches an implementation using…

EquitiesChina marketsVolatilityTechnical indicators
BigQuant

This research summary surveys dynamic allocation methods for equity style factors. It organizes the approaches by whether they use return information, risk information, or both, adapting methods originally used in broad asset allocation. The study first…

EquitiesChina marketsFactor investingPortfolio construction
MQL5 code base

The Math-System indicator presents a set of target support and resistance levels for an anticipated price move. The document points readers to related Murrey Math indicators, placing this tool in a family of chart-based level systems. It states that the…

Technical indicatorsRisk management
SuperMind

The article describes an equity screen combining three conditions: membership in the metaverse theme, a prior-day close above the 250-day moving average, and a rising-bottom pattern. It explains the latter as a retest after a decline and rebound, where the…

EquitiesTechnical indicatorsChina marketsRisk management
BigQuant

This article proposes six checks to run before deploying a strategy that has performed well in historical backtests. It recommends perturbing data with delays, missing observations, and outliers; scanning core parameters for broad regions of acceptable…

BacktestingRisk managementExecutionStatistics
Freqtrade

This Freqtrade strategy example applies an Almgren–Chriss style execution schedule to position entries and exits. It estimates a parameter called kappa from rolling price variability, candle range, and volume, using it to shape the fraction traded in each…

ExecutionMarket microstructureRisk managementTechnical indicators
BigQuant

This note offers informal Sharpe-ratio thresholds for screening strategies under a stated evaluation context: a single strategy rotating half-capital among at least three stocks, with million-level capacity and a backtest covering roughly three years. It…

StatisticsBacktestingRisk managementEquities
SuperMind

This document outlines an A-share stock screen combining daily amplitude above 1, a share price above its five-day moving average, and a rounded upward price pattern. It interprets higher amplitude as evidence of trading activity and the moving-average and…

EquitiesTechnical indicatorsTrend followingRisk management
MQL5 code base

The described expert advisor compares the current day’s closing price with the previous day’s high and low. When price crosses above yesterday’s high or below yesterday’s low, it opens a position in the breakout direction. A stop loss and take profit are…

BreakoutTechnical indicatorsRisk management
MQL5 code base

The document describes adapting an automated trading system to test signals from a ZigZag-based trend indicator. The system opens trades when signals arise and exits through stop-loss or take-profit orders; it can hold multiple orders, with the count tied to…

ForexTechnical indicatorsTrend followingBacktesting
MQL5 code base

The document describes Chandelier Exit as a trend indicator displayed as a colored cloud, with stop levels placed beyond the cloud's range. This gives a compact visual way to view the indicator's trend signal and the area beyond which its stops are set. The…

Technical indicatorsTrend followingRisk management
BigQuant

The document reviews three quantitative allocation approaches: rotating between equities and bonds, flexible multi-asset allocation, and multi-asset trend following. Each approach is offered at conservative, moderate, and aggressive risk levels, allowing…

Multi-assetEquitiesFixed incomeTrend following
SuperMind

This Chinese equity screening idea selects stocks with price amplitude above 1%, positive afternoon large-order net inflow, and an exclusion for companies categorized in Beijing. The post treats amplitude as a sign of active price movement and the order-flow…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This document describes a Chinese equity screen combining a turnover range, a cap on circulating shares or market value, a minimum current volume, and an opening price above the prior close. The intended rationale is to find liquid, actively traded stocks…

EquitiesChina marketsMomentumTechnical indicators
FMZ forum

The document explains the behavioral challenges of trend following: traders must tolerate repeated small losses, fluctuations in open profits, and periods of waiting for a large move. It recommends evaluating a strategy over many trades rather than judging…

Trend followingRisk managementBacktestingStatistics
ProRealCode

This document explains a swing indicator that anchors an Archimedean spiral at the last confirmed pivot. Its structure changes when price makes a new high or low over a specified lookback; when direction flips, it places the pivot retroactively at the…

Technical indicatorsTrend followingRisk management
OctoBot

This guide explains what happens when an OctoBot cloud strategy is stopped and how to restart it. Stopping cancels the bot’s outstanding buy and sell orders and prevents it from placing new orders. If the corresponding option is selected, the bot also sells…

ExecutionCryptoRisk management
MQL5 code base

The document surveys a library of trailing-stop methods intended to manage open positions independently of entry rules. Methods include trailing behind recent bar highs or lows, fractal extrema, stepped price advances, tighter distances as profit grows,…

Risk managementTrend followingTechnical indicators
SuperMind

This A-share screening rule combines a current amplitude threshold with a prior-day signal involving the 9:15 matched price and limit-down conditions. It also excludes Beijing-listed shares and, in the final version, ST-designated stocks. The article…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This Chinese equity screening proposal selects stocks with an amplitude above 1, a largest daily decline between 4% and 5%, and positive institutional direction. It interprets the price movement as a market-condition signal and institutional buying interest…

EquitiesChina marketsSentimentTechnical indicators
Lumibot

This report presents a brief backtest of a market-news trading bot against SPY, covering January 4–15, 2026. It lists return, drawdown, risk, correlation, and other performance statistics, along with model-call and data-source details. The strategy reports a…

BacktestingSentimentRisk management
BigQuant

This short assignment defines quantitative investing in practical terms as using computers to carry out investment work. It identifies consistency within a fixed framework and the ability to hedge or run multiple trading styles as potential advantages. These…

StatisticsRisk managementPortfolio construction
MQL5 code base

This document describes a hedging Expert Advisor that opens two opposing positions at the same time. Its premise is that the position whose take-profit is reached first will close, after which a price reversal may carry the remaining position to its own…

ForexMean reversionRisk management