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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 document presents a screen for Chinese metaverse-related stocks using prior-day turnover, current trading volume, and a positive opening gap. Its stated final version adds market capitalization ranking and earnings filters: stocks should rank in the top…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This document outlines a short-term Chinese stock screen combining large price ranges, at least two limit-up events over a 500-day window, and recent net buying attributed to institutions. It gives example indicator conditions for each filter and a Python…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This stock screen looks for names with turnover in a specified range, three consecutive declining sessions, a following close above the prior three day highs, and two consecutive positive sessions. It combines a liquidity filter with a pullback pattern and a…

EquitiesChina marketsTechnical indicatorsBreakout
BigQuant

The article introduces a custom coded stock selection strategy built from five rules, mainly intended to identify stocks that have fallen sharply and begun to stabilize, with some rules meant to capture potential strong advances. It contrasts AI generated…

EquitiesFactor investingBacktestingPosition sizing
SuperMind

This stock screen selects equities with an amplitude above a threshold, excludes stocks that closed at the limit the prior day, and targets names whose daily percentage change falls within a narrow negative range. The stated rationale is that amplitude…

EquitiesChina marketsTechnical indicatorsVolatility
BigQuant

The document asks whether minute or second level price and volume data can be aggregated into daily net flow measures for very large, large, medium, and small trades. It points readers to two implementations: a general set of high frequency factors and a…

EquitiesHigh-frequency tradingFactor investingMarket microstructure
MQL5 code base

This description outlines an Expert Advisor based on the MALR indicator. It opens short positions when price crosses the indicator’s upper line downward and opens long positions when price crosses its lower line upward. Optional controls include adding a…

ForexTrend followingPosition sizingRisk management
FMZ forum

This tutorial introduces the M Language used in a trading platform to write indicators and trading logic for commodity futures and cryptocurrency contracts. It explains scalar and sequence data, numeric, string, and Boolean values, variable naming, and…

FuturesCryptoTechnical indicatorsPosition sizing
Amberdata research

The note links uncertainty after a US government shutdown to crypto risk and options pricing. It argues that missing October inflation and employment releases complicate the Federal Reserve’s December decision, while the FOMC minutes and other scheduled…

CryptoOptionsVolatilityRisk management
FMZ forum

This article introduces Bayesian reasoning as a way to estimate an unknown probability from limited observations and revise that estimate when new evidence arrives. It distinguishes a prior probability, based on information available beforehand, from a…

StatisticsRisk management
MQL5 code base

This brief description introduces a linear regression indicator for estimating prices from historical observations. It says the indicator fits a straight line to price points using the least-squares method, with the number of bars as an input parameter. A…

StatisticsTechnical indicators
SuperMind

This note outlines an equity selection approach that filters for price amplitude above 1%, ranks stocks by market heat, and restricts the sample to trading dates in 2021. It explains amplitude as a sign of trading activity and treats high ranking by…

EquitiesChina marketsVolatilityTechnical indicators
SuperMind

This note describes an A-share stock screen using a turnover ratio between 3% and 12%, at least one limit-up event in the previous 25 days, and exclusion of the STAR Market. It presents the criteria as a way to find moderately traded stocks with recent sharp…

EquitiesChina marketsBreakoutTechnical indicators
vn.py community

This brief forum exchange clarifies directional order terminology in a trading interface. A buy-to-close order is described as an order whose direction is long and which closes a short position. Conversely, an order to open short corresponds to closing a…

ExecutionFutures
MQL5 code base

OscSAR_Histogram displays the difference between the closing price and the iSAR indicator as a colored histogram, with the difference expressed in points. This provides a visual measure of how far the close is from the Parabolic SAR value; the document does…

Technical indicatorsTrend following
MQL5 code base

This indicator adapts Williams Percent Range by calculating separate values for the open, close, high, and low, then combining them into a candle-style display. Its calculation differs from the standard WPR formula so that each of the four price inputs can…

Technical indicatorsMean reversion
SuperMind

This stock-screening approach combines a daily amplitude threshold with weekly MACD conditions: MACD should be above zero, and its histogram should be positive and growing relative to the prior week. The document describes these as a way to identify stocks…

EquitiesTechnical indicatorsMomentum
MQL5 code base

The document describes a MetaTrader 5 testing issue in real-tick mode: limit and take-profit orders may receive unrealistically favorable positive slippage, inflating simulated results. It presents a utility that reports slippage in account currency and…

BacktestingExecutionMarket microstructure
BigQuant

The document explains gold contracts for difference as cash-settled derivatives that provide exposure to gold price changes without holding bullion or futures. It outlines features such as leverage, smaller contract sizes, the ability to take long or short…

CommoditiesDerivatives pricingRisk management
SuperMind

The document describes a Chinese equity screen that ranks stocks by reported capital-flow strength and selects those with more than two limit-up sessions in the past ten days and a rising 30-day moving average. It presents the flow measure as a proxy for…

EquitiesMomentumTechnical indicatorsChina markets
MQL5 code base

The document describes adding withdrawal tracking to an existing Expert Advisor so position sizing can respond when account funds are removed. It identifies a limitation in recovery-style sizing systems: an EA may increase lot size after losses and retain…

Position sizingRisk managementExecution
SuperMind

The post describes a stock-selection screen that combines daily price range, opening-auction trading amount, and recent limit-up frequency. Its stated final logic adds a recent low-amplitude condition: select stocks with amplitude above one, rank among the…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

The M1MA indicator estimates an effective price for each chart bar by averaging price data from the corresponding one-minute bars. It is intended for timeframes of five minutes or higher, with intraday charts recommended. The result is presented as an…

Technical indicatorsStatistics
SuperMind

This A-share stock screen combines a technical condition with company earnings growth and a basic price check. It selects stocks with RSI below 65, year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than…

China marketsEquitiesTechnical indicatorsMomentum