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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
Quantpedia
86 documents
TqSdk
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
Quantopian lectures
45 documents
Binance API docs
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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

79,386 documents

SuperMind

This document presents a Chinese A-share screening rule for robot-themed stocks. It combines daily amplitude above 1%, a KDJ value below 20, and floating market capitalization below 10 billion yuan. It also gives example implementations using a stock…

EquitiesChina marketsTechnical indicatorsVolatility
SuperMind

This proposed A-share screen combines market capitalization below 10 billion yuan, a non-loss-making business, a current turnover range of 3% to 12%, and prior-day actual turnover between 3% and 28%. It treats moderate turnover as a way to favor liquid,…

EquitiesChina marketsFactor investingRisk management
SuperMind

This note proposes screening stocks with RSI below 65, turnover between 3% and 12%, and shortening MACD histogram bars on a 15-minute chart. The rationale is to find stocks whose short-term decline may be easing, while using RSI to avoid highly extended…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a short-term A-share screen combining amplitude above 1, rising bottoms, and a morning-star candlestick pattern. Its formula references a sequence of open and close prices, while the sample implementation also checks a low KDJ reading.…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This Chinese-language article outlines an equity screen combining a daily high-low range above one percent, weekly MACD above zero, and seven consecutive sessions in which each close is below the prior close. It frames the setup as a way to find stocks with…

EquitiesChina marketsTechnical indicatorsMomentum
MQL5 code base

This note describes a simple dollar index indicator that calculates values from closing prices. It exposes one input: the number of bars used both for calculation and for drawing the line. Once a value has been calculated, it is not recalculated unless the…

ForexTechnical indicators
MQL5 code base

This description presents a Forex Expert Advisor that combines breakout trading with a Martin Gale style recovery money management approach. Its listed settings allocate portions of account balance to trading, take profit, and stop loss, and control when…

ForexBreakoutPosition sizingRisk management
FMZ forum

This tutorial outlines a Fisher Transform indicator calculated from the midpoint of each price bar and the highest high and lowest low over a rolling period. A ratio between zero and one controls how much the newly normalized price affects the recursively…

Technical indicatorsStatisticsBacktesting
Hummingbot docs

This interview describes how a cryptocurrency liquidity miner used automated market making to provide liquidity across selected token pairs. He began with market making, tested different order approaches, and settled on using three orders. He ran bots…

CryptoMarket makingTechnical indicatorsExecution
SuperMind

This Chinese-language post outlines an equity screen requiring price amplitude above one, a measure described as afternoon large-order net inflow, and seven consecutive sessions with closes below the preceding close. It then says to choose the strongest…

EquitiesChina marketsMean reversionMomentum
MQL5 code base

The document explains how MQL5’s trade-transaction event can report account changes caused by submitted requests, interface actions, pending or stop-order activation, and server-side operations. It presents a base class that receives the transaction,…

ExecutionMarket microstructureHigh-frequency trading
SuperMind

This Chinese-language post describes an A-share selection rule combining three conditions: price amplitude above one, a dividend payout ratio above 25% for 2019, and the current session’s low below the previous session’s low. It presents higher amplitude as…

EquitiesChina marketsTechnical indicatorsMean reversion
MQL5 code base

The document notes that MACD values may take time to settle at the beginning of a price series. Its explanation is that MACD depends on exponential moving averages, which are updated recursively from the previous estimate and the new price. As a result,…

Technical indicatorsStatistics
TqSdk

This example implements an intraday breakout strategy around the prior session’s high and low. It opens a long position when the latest price rises above the prior high and a short when it falls below the prior low, targeting a fixed position size in either…

FuturesBreakoutTrend followingRisk management
SuperMind

This stock-selection idea combines three daily price filters: a range threshold, exclusion of stocks that hit the upper price limit on the previous day, and a current low above the preceding low. The stated rationale is to seek active shares with rising…

EquitiesChina marketsTechnical indicatorsMomentum
ProRealCode

This indicator uses a smoothed Z-score of closing prices to identify statistically stretched conditions, then measures the price range formed during the extreme. A move down through the oversold threshold arms a bullish box, while a move up through the…

Technical indicatorsBreakoutStatisticsVolatility
BigQuant

This Chinese-language forum post asks whether factor analysis should pair a factor observed on a given day with that same day's prices or with prices from the following day. The author cites the Alphalens introduction as a reason to use next-day data and…

Factor investingBacktestingStatistics
MQL5 code base

The document describes a Windows message-based script for disabling automated trading on a specific Expert Advisor in MetaTrader. It opens the EA properties dialog, navigates to the Common tab using keyboard shortcuts when needed, locates the auto-trading…

ExecutionRisk management
FMZ forum

This essay uses hypothetical investment examples to explain how returns compound asymmetrically: a loss requires a larger percentage gain to recover, and alternating gains and losses can produce a modest long-run result despite large individual moves. It…

StatisticsRisk managementPortfolio constructionPosition sizing
MQL5 code base

Hurst Bands plot percentage-based levels around a central moving average of median price. The center uses a simple moving average over half the selected period, and three configurable deviation values define inner, outer, and extreme bands above and below…

Technical indicatorsMean reversion
SuperMind

This article proposes screening Chinese equities using three kinds of signals: RSI below 65, the product of price change and the net ratio of very large order flow above 1, and year-over-year growth in net profit attributable to parent-company shareholders…

EquitiesChina marketsTechnical indicatorsFactor investing