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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
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

79,386 documents

SuperMind

The proposed Chinese equity screen combines a technical filter with a fundamental growth condition. It selects stocks with an RSI below 65 and year-over-year growth in net profit attributable to parent-company shareholders above 20% and at or below 100%,…

EquitiesTechnical indicatorsRisk management
MQL5 code base

VAMA is described as a simple moving average that takes each bar’s tick volume into account. The indicator has two user settings: the calculation period and the applied price. The description identifies the indicator’s basic inputs and its volume-aware…

Technical indicatorsStatistics
MQL5 code base

This indicator description presents a trend-change interpretation in which a move out of a flat price zone matters more than a moving average crossover by itself. It proposes avoiding trades while price remains inside the zone, using the zone as a filter…

Technical indicatorsTrend followingBreakoutBacktesting
BigQuant

This support exchange concerns an IndexError that occurs when a Chinese convertible bond data table is read during a backtest. The same table can be read outside the backtest, and comparable reads of other tables within the backtest reportedly succeed. That…

BacktestingStatisticsChina markets
MQL5 code base

This description outlines a MetaTrader expert advisor that trades from price action around the open candle and can send mobile push notifications. It identifies hourly charts, major forex pairs, and NASDAQ stocks as intended markets, and recommends trying…

ForexEquitiesTechnical indicatorsRisk management
MQL5 code base

This document describes a MetaTrader trading panel built with the MasterWindows interface library. It displays a probability-style scale derived from price database analysis and allows a user to submit market orders, close positions, toggle stop-loss…

ExecutionPosition sizingRisk managementTechnical indicators
SuperMind

The article proposes screening Chinese A-share stocks using three conditions: a dividend payout ratio above 25% in 2019, RSI below 65, and MACD above its zero line. It describes the dividend measure as a fundamental filter and RSI and MACD as technical…

EquitiesChina marketsTechnical indicatorsFactor investing
Amberdata research

The report studies temporal changes in order-book depth and imbalance for Binance’s BTC/FDUSD market using minute-level data collected from July 1 to August 12, 2025. It describes an intraday depth peak around 11:00 UTC and a trough around 21:00 UTC,…

CryptoMarket microstructureExecutionStatistics
ProRealCode

The indicator applies a percent-variation ZigZag to price and accumulates volume across each swing. When the ZigZag forms a peak or trough, it displays the volume accumulated during that segment and begins a new accumulation. The adjustable percent-variation…

Technical indicatorsMarket microstructure
ProRealCode

The Buy Low Sell High Composite combines four technical measures—RSI, an EMA-difference Elliott Wave Oscillator, MACD histogram, and Money Flow Index—into one oscillator intended to summarize trend, momentum, and volume. It rescales components to a common…

Technical indicatorsMomentumVolatility
SuperMind

This Chinese equity screening example combines three technical conditions: amplitude above 1%, an upward-moving short average or price crossing above a three-day average, and a rising or supported recent low. The document gives formula and Python-style…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document describes a Chinese equity screening rule that selects Shenzhen main-board stocks with daily amplitude above 1%, a year filter for 2021, price-to-earnings ratios from 0 to 29.01, and price-to-book ratios from 0 to 3.11. It provides both an…

EquitiesChina marketsVolatilityFactor investing
MQL5 code base

This brief description presents an Expert Advisor that trades from the ICHI_OSC indicator. It generates a signal when a bar closes and the direction of the indicator histogram changes, making the histogram’s turn the central entry trigger. The system relies…

ForexTechnical indicatorsBacktesting
FMZ forum

The document presents reusable M-language modules for quantitative trading, including percentage price change, new highs, price and volume surges, narrow ranges, moving-average alignment, prior-high locations, and price gaps. It also outlines moving…

ForexBreakoutTechnical indicatorsMomentum
BigQuant

This short BigQuant assignment describes a daily stock-ranking approach built from a combination of total equity and trailing-twelve-month average return on equity. Each day, the strategy holds stocks with comparatively high values of the combined factor. It…

China marketsEquitiesFactor investingPortfolio construction
Freqtrade docs

This guide explains advanced ways to configure strategy hyperoptimization in Freqtrade. It shows how to define a custom loss function, which receives trade results and backtest context and returns a score where lower values are preferred. The example…

BacktestingStatisticsRisk management
SuperMind

This Chinese-language post proposes a stock selection rule based on price amplitude, prior-day turnover, and the ratio of current auction volume to the previous day’s volume. It selects shares whose amplitude exceeds one and whose prior turnover multiplied…

China marketsEquitiesTechnical indicatorsMomentum
MQL5 code base

This document describes an Expert Advisor that trades changes in trend direction as indicated by the ColorLeManTrend indicator. It generates a signal when a bar closes and the indicator’s cloud changes color. The page also notes where to place the compiled…

ForexTrend followingTechnical indicatorsBacktesting
NautilusTrader

This example configures a live-node application to run a Bollinger Band mean-reversion strategy against the Architect AX sandbox on a EUR/USD perpetual instrument, using one-minute midpoint bars. It sets a Bollinger period of 20 with a two-standard-deviation…

ForexPerpetual futuresMean reversionTechnical indicators
SuperMind

This Chinese-language post describes a stock screen combining daily price amplitude greater than 1, a three-day limit-up streak as of the previous day, and a positive price-to-earnings ratio. It frames the amplitude condition as a way to find active shares,…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This article describes a short-term Chinese stock screen based on daily price range, a high ranking for net large-order volume, and MACD above its zero line. It presents the combination as a way to find active stocks with positive momentum, and includes an…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This article outlines a Chinese equities screen combining three signals: confluence among the 5-, 10-, 20-, 60-, and 120-day moving averages, appearance on the prior day’s market leaderboard, and a 20-day moving average above the 120-day average. The…

EquitiesTechnical indicatorsMomentumChina markets
Lumibot

This comparison surveys AI-oriented trading and research projects by their agent workflows, ability to replay or backtest decisions, broker paths, deterministic strategy support, and hosting or monitoring features. It distinguishes research-focused tools…

Machine learningBacktestingExecutionRisk management