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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

This note proposes screening Chinese stocks with positive but limited returns over the prior ten days, a report of main-fund control on the previous day, and at least five converging moving averages. It then revises the screen to use six moving-average…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen selects equities with turnover in a stated range, a prior-day appearance on a market trading activity list, and upward-moving averages. The detailed conditions also require a listing history exceeding one year, a close above its ten-day…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

This stock-selection idea combines three filters: price amplitude above a stated threshold, actual turnover from the prior day within a specified range, and exclusion of stocks that closed at the daily upper price limit on the previous day. The document…

EquitiesTechnical indicatorsBacktestingRisk management
MQL5 code base

This brief description covers a higher-timeframe version of a volume-weighted moving average cloud indicator. Its main feature is a user-selectable chart period, with four-hour data shown as the default example. The description implies that the indicator can…

Technical indicators
SuperMind

This Chinese stock-selection article proposes combining an RSI reading below 65 with seven consecutive sessions in which the close is below the open, followed by a strong upward move on elevated volume. It describes the final condition as a close near the…

EquitiesTechnical indicatorsMomentumBreakout
SuperMind

The document describes a Chinese A-share screening rule for stocks associated with the metaverse theme. It combines a price condition relative to the 250-day moving average with a fixed closing-price condition. The prose refers to the prior day’s price being…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

This post describes a stock screen for Shenzhen main-board shares using a price-to-earnings range of 0 to 29.01, a price-to-book range of 0 to 3.11, a 2019 dividend payout ratio above 25%, and an amplitude condition above 1. It frames the filters as a…

EquitiesChina marketsFactor investingRisk management
vn.py community

This brief forum exchange answers a question about where log messages go during a backtest when using the BacktestingEngine. The questioner observes that the engine stores messages in a logs collection and asks how to access them. The reply says the messages…

Backtesting
SuperMind

This post proposes a Chinese stock screen combining three conditions: at least five moving averages converge, the prior day’s turnover exceeds 8%, and the 30-day moving average is rising. The author interprets convergence as relatively stable prices, high…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This report examines three connected areas of China’s technology sector: 5G communications, artificial intelligence, and semiconductor chips. It presents 5G as infrastructure for faster data transfer and connected devices, AI as an application area that…

EquitiesChina marketsMulti-asset
MQL5 code base

Daily BreakPoint is described as a breakout strategy that enters when price moves beyond the prior daily bar by a specified number of points. Its inputs include the breakout distance, minimum and maximum sizes for the last bar, stop loss, take profit, and…

BreakoutTechnical indicatorsPosition sizingRisk management
FMZ live strategies

This page records a live Binance futures robot identified as using a martingale strategy and running across numerous trading pairs. It presents a dashboard snapshot with account and strategy figures, including reported return, drawdown, win rate, fees,…

CryptoFuturesPerpetual futuresRisk management
MQL5 code base

Binario is an Expert Advisor that calculates exponential moving averages of the same period using high and low prices. The description says these averages adjust the system’s settings, but do not generate buy or sell signals. Instead, the EA alternates long…

ForexTechnical indicatorsRisk managementExecution
MQL5 code base

The document introduces a version of the fractal dimension indicator attributed to Mark Jurik. It describes the indicator as a tool for assessing whether price changes appear to be trending or ranging, rather than predicting whether prices will rise or fall.…

Technical indicatorsStatistics
SuperMind

This index timing method fits a quadratic function to a local segment of a historical price series, using either closing prices or the average of opening and closing prices. It treats the slope at the newest fitted point as an indicator of whether the series…

China marketsEquitiesTechnical indicatorsStatistics
MQL5 code base

This document describes an Expert Advisor that trades from signals produced by the iRSISign indicator. A signal is generated when the indicator displays a colored icon at a bar’s close. The strategy therefore uses the indicator’s signal as its entry trigger;…

ForexTechnical indicatorsBacktesting
ProRealCode

This indicator overlays two kinds of bands calculated from log-transformed closing prices. The statistical bands use a rolling average and standard deviation, similar in spirit to Bollinger Bands. The regression bands use a rolling ordinary least squares…

Technical indicatorsStatisticsVolatilityBacktesting
BigQuant

The document describes a convertible-bond setup that enters after a V-shaped recovery when price rises through the left shoulder of the pattern, above its right shoulder. The right shoulder must be at least 3.5 points above the V’s low. The trader then uses…

Mean reversionTechnical indicatorsRisk management
SuperMind

The proposed A-share screen selects stocks whose price amplitude exceeds 1, excludes Beijing-listed shares, and requires the stock to have appeared on the previous day’s Dragon-Tiger list, a disclosure of notable trading activity. The post frames amplitude…

EquitiesChina marketsTechnical indicatorsEvent-driven
SuperMind

This short-term stock selection method combines three conditions: price amplitude above 1, yesterday’s turnover multiplied by today’s opening-auction volume divided by yesterday’s volume between 0.5 and 2, and an outside-to-inside volume ratio above 1.3. The…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

The document outlines an equity screening rule combining a daily high-low range greater than one percent of the prior close, weekly MACD above zero, and exclusion of stocks that hit the daily upper price limit on the previous day. It presents these…

EquitiesTechnical indicatorsMomentumChina markets
vn.py community

The discussion addresses whether a VeighNa strategy continues trading after the market closes and reopens the next day. The question assumes the trading interface remains open and asks whether the platform will automatically log in and resume the prior…

Execution
Hummingbot docs

The document explains a market-making setting in which a bot replaces filled orders as soon as it has no active orders. During a sustained price move, repeatedly refreshing both sides can lead the bot to keep buying into a decline or selling into a rise,…

CryptoMarket makingExecutionRisk management
SuperMind

The document describes a Chinese A-share stock screen combining price amplitude above 1%, a circulating share count no greater than 5.5 billion, and auction-period price movement accompanied by large and extra-large buy-flow volume above the stated…

EquitiesChina marketsVolatilityMarket microstructure