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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

29,558 documents

SuperMind

This proposed stock screen combines a price-range condition, a large-order net-flow ranking, and a requirement that at least five moving averages overlap. Its stated aim is to find active stocks whose technical indicators may offer clues about direction. The…

EquitiesTechnical indicatorsRisk managementChina markets
MQL5 code base

This MetaTrader indicator description presents blue rectangles as potential price strength zones. The rectangle’s upper boundary is treated as a level where upward price strength may fade. For a long position, it suggests placing a take-profit level below…

Technical indicatorsVolatilityRisk managementForex
vn.py community

This note develops a proposed A-share strategy for vn.py around two prior-day setups: a first limit-up close after two days without a limit-up, or a session that touched the limit price but did not close there. Candidates are further filtered by turnover…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This stock-selection rule looks for shares with turnover between 3% and 12%, excludes Beijing-listed A-shares, and requires the day’s increase in position share to exceed 5%. The explanation treats the turnover band as a way to select reasonably active and…

EquitiesChina marketsStatisticsRisk management
MQL5 code base

The described expert advisor begins by opening equal, minimal-sized long and short positions, each with predefined take-profit and stop-loss levels. When one position reaches its profit target, it closes; the losing side is enlarged at price intervals, with…

ForexRisk managementPosition sizingBacktesting
MQL5 code base

The expert advisor begins by opening a buy position, then tracks the opening prices of buy and sell positions separately. It adds a buy when the latest buy entry is at least the configured step above the current ask, and adds a sell when the latest sell…

Grid tradingMean reversionRisk management
MQL5 code base

This brief indicator description explains an alert setup intended to identify possible reversals around RSI extremes. For a buy alert, it gives three conditions: RSI is below 30, price opens above the eight-period moving average, and the candle’s lower wick…

Technical indicatorsMean reversionRisk management
vn.py community

This project description outlines a LightGBM system for classifying the direction of futures prices over a configurable forward horizon. It processes one-minute bars across multiple contracts, builds technical and statistical features, and labels future…

FuturesMachine learningBacktestingRisk management
FMZ forum

This essay contrasts two stylized accounts of a quantitative trader’s working day. The less automated workflow involves checking strategies and orders manually, adjusting allocations and contracts, monitoring live positions, recording profit, slippage, and…

ExecutionBacktestingMachine learningEvent-driven
MQL5 code base

The document describes a simple random-entry trading experiment based on the assumption that short-term upward and downward moves are equally likely. A script randomly opens a buy or sell order, while the user sets trade size and exit levels. With equally…

StatisticsRisk managementExecution
SuperMind

This screening rule selects stocks with an intraday amplitude above one, a daily percentage decline between four and five percent, and a circulating-share threshold stated as no more than 5.5 billion shares. The document presents the criteria as a short-term…

EquitiesChina marketsTechnical indicatorsRisk management
BigQuant

A user asks whether a futures position should be counted at its full market value or at a value adjusted for margin when a strategy calculates returns by adding asset value and cash. The reply emphasizes that futures use margin and daily settlement, so their…

FuturesRisk managementStatistics
MQL5 code base

This document describes a versioned template for trading multiple currency pairs, with moving averages offered as a sample entry logic. It says the entry logic can be changed, so the moving-average example is a starting point rather than a fixed strategy.…

ForexTechnical indicatorsPosition sizingRisk management
SuperMind

This Chinese-language post describes a daily pre-open screen for A-share stocks. It combines a positive MACD condition with a share price below 12 and a stated increase in holdings above 5%. The rationale is to mix a trend signal and a low nominal price with…

EquitiesTechnical indicatorsMomentumRisk management
FMZ forum

The article distinguishes high-frequency trading firms from quantitative investment firms by their typical origins, time horizons, capital models, and technical priorities. It describes high-frequency trading as focused on rapid processing and efficient…

High-frequency tradingMachine learningStatisticsRisk management
SuperMind

This Chinese stock screening example combines three proposed short-term signals: daily price range above a threshold, a high ranking in large-order net volume, and a “main uptrend start” condition. The formula defines the range using the high-low spread…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese strategy example applies a breakout system to a CSI 300 index ETF. It calculates a 50-day average as the middle band and sets an upper band one standard deviation above it. Entry requires the prior close to exceed that upper band and the highest…

China marketsEquitiesBreakoutTechnical indicators
MQL5 code base

The document describes a minimal short-term trading approach that chooses long or short direction at random, such as by a coin toss. Its code example first checks that no positions are open, then uses a pseudo-random value to select a buy or sell order and…

ExecutionRisk managementStatistics
SuperMind

This Chinese stock-screening strategy combines a turnover range of 3% to 12%, a newly formed KDJ golden cross, and a recent seven-day price decline. The proposed rationale is to favor reasonably liquid stocks, use the indicator crossover as a possible sign…

EquitiesTechnical indicatorsMean reversionRisk management
BigQuant

This research overview describes two broad approaches to absolute-return investing: combining equities and bonds, and hedging or taking exposures through derivatives. It lists stock-bond rebalancing, target-volatility, risk-parity, and risk-budgeting…

Multi-assetPortfolio constructionRisk managementFutures
ProRealCode

Change in State of Delivery (CISD) is presented as an early signal that a directional leg may have failed. It marks the point when a candle closes back across the open of the first candle that began the leg. A bullish leg’s origin level can trigger a bearish…

Technical indicatorsTrend followingBreakoutRisk management
ProRealCode

This indicator description explains a three-bar trailing stop associated with Larry Williams. Its intended use is to stay with strong directional moves while tightening protection when a correction begins. The author recommends waiting until price has left a…

Trend followingTechnical indicatorsRisk management
ProRealCode

This indicator-based system smooths Heikin-Ashi candles and interprets runs of rising or falling candle bodies as directional trends. Larger bodies with limited opposing shadows are treated as stronger trends; small bodies and long shadows suggest weakening,…

Technical indicatorsTrend followingMomentumRisk management