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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 document proposes screening Chinese A-share stocks using three conditions: daily price amplitude above 1%, a nonempty convertible-bond name, and at least one limit-up event within the preceding month. It interprets amplitude as a volatility filter, the…

EquitiesChina marketsVolatilityBreakout
SuperMind

The document explains moving averages as averages of recent closing prices and introduces Granville’s eight buy and sell signals. These compare price with a moving average, using line crossings, direction, and distance from the average to suggest entries or…

FuturesTechnical indicatorsTrend following
MQL5 code base

This brief description presents a Hull trend indicator that adds smoothing to the Hull moving average and rounds its output to a user-selected number of digits. The digit setting is an input parameter, so users can choose the displayed precision. The…

Technical indicatorsTrend following
SuperMind

This stock-selection rule focuses on companies in the metaverse industry that recorded at least one limit-up day during the previous 25 days. It further requires the current volume ratio to be above 1.5 and below 6, where the ratio is described as trading…

China marketsEquitiesMomentumTechnical indicators
FMZ forum

This note surveys seven pitfalls in quantitative investing: survivorship bias, look-ahead bias, storytelling, data mining, signal decay and trading costs, outliers, and asymmetric long-short payoffs. It explains how current index constituents can distort…

BacktestingStatisticsFactor investingPortfolio construction
Hummingbot docs

This document explains a single-pair spot market-making strategy. It places limit bids and asks at spreads from a reference price, then periodically refreshes orders. The description outlines a tick-based loop: check whether trading may proceed, obtain…

Market makingSpot marketsExecutionMarket microstructure
MQL5 code base

This brief reference defines basic candlestick ranges. For a bullish candle, the body is the close minus the open; for a bearish candle, it is the open minus the close. The full high-low range is the high minus the low. The upper and lower wick ranges are…

Technical indicatorsEquities
SuperMind

These reading notes survey high-frequency trading from market structure through strategy and infrastructure. They describe electronic order books, the roles of investors, market makers, arbitrageurs, and directional predictors, and how market makers earn…

High-frequency tradingMarket microstructureMarket makingArbitrage
SuperMind

This proposed Chinese equities screen selects non-special-treatment stocks with daily amplitude above 1 and a product between 0.5 and 2: the previous day's turnover rate multiplied by today's opening-auction volume divided by the previous day's volume. It…

EquitiesChina marketsTechnical indicatorsSentiment
MQL5 code base

This short description presents AnchoredMomentumCandle, an indicator that renders the output of the AnchoredMomentum algorithm as a sequence of candlesticks. It suggests this view may help analysis by making the processed price time series more informative,…

Technical indicatorsMomentum
MQL5 code base

The document describes the Zero-Lag Exponential Moving Average, a modified exponential moving average intended to reduce lag. It identifies two configurable inputs: the calculation period and the applied price. The formula adjusts the current input using a…

Technical indicatorsStatistics
SuperMind

This Chinese stock screening proposal combines three conditions: amplitude above one, a change in an institutional trading-volume measure, and an opening price within one percent of the 10-day moving average. It suggests running the screen after the market…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This note outlines a mainland China stock screen requiring RSI below 65, a daily gain above 1%, main-board eligibility, and MACD above zero. It presents RSI as a way to identify comparatively weak stocks that may rebound, the daily gain as a short-term…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This note proposes a Chinese equity screen combining a historical dividend payout ratio above 25%, a ranking by large-order net volume, and an intraday price range greater than 1. Its rationale is to mix a short-term price and order-flow signal with a…

EquitiesMarket microstructureVolatilityFactor investing
BigQuant

This document summarizes a research approach that uses Google Trends search activity to inform equity portfolio weights. It treats search volume as a measure of how popular a stock is and assumes that popularity is related to risk. The portfolio therefore…

EquitiesPortfolio constructionRisk managementSentiment
SuperMind

This note describes a mainland China stock screen that combines RSI below 65, a daily price gain above 1%, main-board eligibility, and weekly MACD above zero. The stated rationale is to pair a momentum signal from the day’s gain with a longer-term trend…

EquitiesTechnical indicatorsMomentumTrend following
SuperMind

This proposed screen targets stocks in the metaverse industry that experienced a limit-up event within the previous 25 days and meet company-quality criteria. The article describes those criteria broadly, including research capability, company scale,…

EquitiesChina marketsEvent-drivenFactor investing
SuperMind

This Chinese equity screening approach combines three technical conditions: daily price amplitude above 1, a positive weekly histogram signal, and the 20-day moving average above the 120-day moving average. The stated rationale is that larger amplitude…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This document describes two stop-management functions. A break-even rule moves the stop loss to the trade’s opening price after the market has moved favorably by more than a user-defined threshold. This is intended to remove the original price risk once the…

Risk managementExecution
SuperMind

This screening method focuses on stocks in the metaverse industry. It selects shares where the KDJ indicator has just formed a bullish crossover and the circulating share count is no more than 5.5 billion. The proposed selection is run before 10 a.m. on each…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

The DMI Difference oscillator represents directional movement by subtracting the minus directional indicator from the plus directional indicator. A positive difference indicates that plus DI is larger, while a negative difference indicates that minus DI is…

Technical indicatorsMomentum
MQL5 code base

FloatPivot is described as an indicator that plots an estimated price channel rather than a channel derived directly from historical extrema. It applies light smoothing by averaging closing prices used in its calculations. The period should depend on the…

Technical indicatorsBreakoutMean reversion
SuperMind

This Chinese stock-screening article combines three conditions: a 14-period RSI below 65, best-bid volume greater than best-ask volume, and an opening price within five percent of the ten-day moving average. The approach uses RSI as a price-condition filter,…

China marketsEquitiesTechnical indicatorsSentiment