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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
Quantopian lectures
45 documents
Binance API docs
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
Alphalens
14 documents
WonderTrader
14 documents
backtesting.py
11 documents
Technical Analysis
9 documents
QTPyLib
8 documents
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

16,761 documents

BigQuant

The post asks whether a factor-analysis module’s rebalance period measures returns before or after the factor observation. The author expected each factor-sorted group’s reported return to represent the return earned by holding its stocks for the stated…

Factor investingBacktestingStatistics
ProRealCode

The document introduces nine indicators that compare historical range, volume, and equity gains or losses across calendar periods. For each measure, the collection examines months, weeks, and days of the week to identify periods that have tended to be above…

StatisticsTechnical indicatorsBacktesting
SuperMind

This Chinese-language post describes a stock-selection screen using three conditions: amplitude above 1, a prior-day 9:15 auction matched price at the limit-down level, and prior-day auction turnover above 0.26. It interprets large amplitude as a source of…

EquitiesChina marketsTechnical indicatorsBacktesting
MQL5 code base

This MetaTrader expert advisor trades signals from a candlestick indicator. It acts when a bar closes with a trend candle and the preceding candle was either not a trend candle or pointed in the opposite direction. The rule therefore focuses on the…

ForexTechnical indicatorsBacktesting
MQL5 code base

The document describes a script for testing indicators, expert advisors, and other scripts across historical bars. It uses global variables to pass a bar shift and calculation count to an indicator, and can step through data from a selected starting bar…

Technical indicatorsBacktesting
Qlib

This configuration describes a Qlib data pipeline for five-minute CSI 300 constituent data over a specified two-year period. It defines training, validation, and test segments, with the training interval also used to fit feature processing. The feature…

EquitiesChina marketsMachine learningBacktesting
SuperMind

The document describes a platform feature for running strategy research code as a live or simulated trading service. A strategy is supplied with its source, name, frequency, starting capital, and optional benchmark. Without a trading API it runs as a…

ExecutionBacktestingEquities
MQL5 code base

The document describes a hybrid trading system in which an ONNX model classifies market structure and conventional rules govern trade selection and management. Model inputs include ATR-scaled momentum, distances from recent swing extremes, relative tick…

Machine learningTechnical indicatorsForexCommodities
SuperMind

The document proposes a Chinese equity screen combining amplitude above 1, a rounded price pattern, and a “today control” reading above 21. Its explanation associates higher amplitude with short-term trading potential, the rounded shape with relatively…

China marketsEquitiesTechnical indicatorsBacktesting
Alphalens

The document describes plotting utilities for evaluating quantitative factors through tear sheets. A summary report combines factor quantile statistics, return tables, quantile return plots, information coefficient analysis, and turnover measures. The…

Factor investingBacktestingStatistics
SuperMind

The document describes a Chinese equity screen that combines membership in a metaverse-related stock category with a limited opening gap and a positive weekly indicator. The stated logic uses the 9:25 opening indication to exclude stocks whose gain versus…

EquitiesTechnical indicatorsMomentumChina markets
MQL5 code base

This trading system uses the Zero Point Force indicator to generate a deal signal when its cloud changes color at a bar close. The document describes an Expert Advisor based on that rule and states that the reported tests used the advisor's default input…

Technical indicatorsCommoditiesBacktesting
MQL5 code base

Bleris is presented as a foreign-exchange strategy that opens hedges when the trend changes. Its author emphasizes keeping absolute drawdown below $3,000 as the system’s central constraint and recommends fixed lot sizes when optimizing. The description also…

ForexRisk managementPosition sizingBacktesting
MQL5 code base

This Chinese-language report outlines a framework for evaluating single factors used in quantitative stock selection. It organizes the assessment around information coefficients (IC) and portfolio grouping tests. The IC section includes rank IC, the…

EquitiesFactor investingStatisticsBacktesting
Amberdata research

The article explains two execution benchmarks for large crypto orders. VWAP weights transaction prices by traded volume, so high-volume trades influence it more. TWAP gives equal weight to prices across fixed time intervals, supporting a steadier execution…

CryptoExecutionMarket microstructureBacktesting
ProRealCode

The document describes a chart indicator that marks bullish and bearish ABCD price patterns. It tracks candidate swing points A through D, applies Fibonacci retracement levels to assess the C point, and uses extension levels to locate D. Adjustable settings…

Technical indicatorsForexEquitiesBacktesting
BigQuant

The document reports a possible limitation in an A-share stock-screening field: setting the ST status value to zero did not keep a stock out of a copied strategy’s backtest after it moved from a special-treatment designation to a delisting-period name. The…

China marketsEquitiesBacktestingRisk management
BigQuant

The document examines how information coefficients (ICs) are used to assess stock-selection factors and assign weights in multifactor models. It distinguishes Pearson correlation from rank correlation and points out a gap in the usual inference: a larger IC…

EquitiesFactor investingStatisticsPortfolio construction
Cryptohopper blog

The guide defines cryptocurrency day trading as opening and closing positions within the same day, with traders seeking to benefit from short-term price movement. It emphasizes liquidity because a trader may be unable to exit near a target when a market or…

CryptoTechnical indicatorsMarket microstructureBacktesting
BigQuant

This research note examines why stocks with high correlation to their benchmark may perform better than low-correlation stocks in the China A-share market, despite findings cited for overseas markets. It explains benchmark correlation in terms of constituent…

China marketsEquitiesFactor investingPortfolio construction
MQL5 code base

This brief indicator note describes a MACD variant that accepts an averaged price series as its input instead of the raw price. The stated rationale is that averaging may filter some false signals. The indicator retains familiar MACD options and can change…

Technical indicatorsMomentumBacktesting
OctoBot

This overview compares ten cryptocurrency trading platforms by their automation styles, access models, and supporting tools. It describes grid trading within a defined price range, dollar-cost averaging, signal-driven systems, market making, and custom…

CryptoGrid tradingMarket makingBacktesting
BigQuant

This article proposes grouping a StockRanker model's scores instead of assuming that the highest-ranked stock is consistently the best choice. It notes that which rank performs well can vary from day to day, especially for models whose styles are unstable.…

EquitiesMachine learningStatisticsBacktesting
MQL5 code base

The Maximus expert advisor identifies past price consolidations, draws their boundaries, and opens trades when price moves beyond them by a configured distance. Its chart uses separate colored boundary pairs for buy and sell consolidations, with white lines…

ForexBreakoutMean reversionPosition sizing