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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
WonderTrader
14 documents
Alphalens
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

31,205 documents

SuperMind

This note proposes a Chinese stock screen combining a price-range condition, a rounded price pattern, and positive net buying by large participants during the opening auction. Its indicator expression approximates the rounded-pattern condition using the…

EquitiesTechnical indicatorsSentimentChina markets
SuperMind

This stock-selection note screens for shares with amplitude above 1, a prior-day 9:15 matched price at the limit-down level, and a close above the previous day’s low. Its revised version adds a close above the three-day moving average. The proposed…

EquitiesTechnical indicatorsMean reversionRisk management
MQL5 code base

This Expert Advisor takes signals from the ColorSchaffRVITrendCycle oscillator when it crosses into or out of overbought or oversold territory, with the signal confirmed at bar close. The description therefore presents a threshold-break strategy based on…

ForexTechnical indicatorsBreakoutBacktesting
SuperMind

This stock-selection note describes a screen combining amplitude above 1, a positive weekly MACD histogram, and a 9:25 gain below 6%. The intended rationale is to find shares with notable price movement and a rising weekly trend while avoiding names that…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

The post outlines a Chinese equity screening strategy that selects stocks with RSI below 65, circulating market capitalization between 5 billion and 10 billion yuan, a listing history longer than one year, and a price-to-earnings ratio no greater than 40.…

China marketsEquitiesTechnical indicatorsFactor investing
SuperMind

This stock screen selects equities whose price range exceeds a threshold, that were not limit-up stocks on the prior session, and whose prior-day turnover measure exceeds 0.26. The article interprets elevated turnover as a possible sign of investor attention…

EquitiesTechnical indicatorsMarket microstructureBacktesting
SuperMind

This equity screen combines a daily price-range filter, at least two limit-up sessions during a 500-day lookback, and a three-candle morning-star reversal pattern. The pattern is described as a long bearish candle, a small-bodied middle candle, and a bullish…

EquitiesTechnical indicatorsMomentumBacktesting
MQL5 code base

The indicator description explains a way to combine moving-average trend readings from several chart intervals into one view of bullish, bearish, or sideways conditions. It also uses dots to flag possible sideways movement and arrows to mark whether a…

Technical indicatorsTrend followingMulti-asset
SuperMind

This stock screen targets companies classified in the metaverse industry. It looks for a fresh KDJ bullish crossover and positive large-order net-flow readings over several consecutive days, then selects a small set of candidates. The post describes the idea…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

The document presents a stock-selection design that first ranks Chinese market sectors using a weighted combination of price momentum, money flows, and recent policy-related news. It then scores sub-sectors using reported net-profit growth and price…

China marketsEquitiesMomentumTechnical indicators
ProRealCode

This indicator calculates volume-weighted average price from intraday bars and resets the calculation at the start of each trading day. It plots the VWAP alongside upper and lower bands at one, two, and three times a dispersion measure, intended to help…

Technical indicatorsExecutionMarket microstructureVolatility
SuperMind

This stock-selection proposal focuses on companies classified in the metaverse theme. It filters for prior-day actual turnover between 3% and 28% and a circulating market value above 10 billion yuan. The article explains turnover as a sign of market activity…

EquitiesChina marketsMarket microstructureTechnical indicators
SuperMind

This article outlines a Chinese A-share screen that selects stocks associated with the metaverse concept, requires an upward-moving 30-day average, and excludes Beijing-listed shares. Its final suggested version also adds valuation filters: price-to-earnings…

EquitiesChina marketsTechnical indicatorsTrend following
SuperMind

This article describes a short-term stock screen using four conditions: daily amplitude above 1%, current volume above 10,000 lots, a higher open, and a bullish weekly bar. It presents these as signs of active trading and upward price movement. Its indicator…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection post describes screening equities with a 14-period RSI below 65, a circulating market value between 5 billion and 10 billion yuan, and strong-buying volume during the opening auction. It also describes ranking qualifying stocks…

EquitiesTechnical indicatorsMarket microstructure
SuperMind

This A-share stock screen selects shares with a daily high-low range above 1%, at least one limit-up day in the previous 25 sessions, and a bullish weekly candlestick. The note frames the range condition as a marker of volatility, recent limit-ups as…

EquitiesTechnical indicatorsMomentumChina markets
MQL5 code base

This brief description introduces an Expert Advisor that uses a moving average and standard deviation as trading indicators. It exposes a cap on the number of simultaneously open positions in one direction, giving the trader a way to limit directional…

ForexTechnical indicatorsPosition sizingBacktesting
SuperMind

This A-share screening idea combines a positive MACD reading, upward-dispersing moving averages on the current day, and a prior-day opening auction match price at the limit down. The document interprets the first two filters as signs of upward momentum and…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This note describes a Chinese equity screen requiring daily price amplitude above a stated threshold, circulating market capitalization above a stated level, and no limit-up move on the prior day. It supplies indicator logic and a Python-style example that…

EquitiesVolatilityTechnical indicatorsChina markets
SuperMind

This stock-selection note proposes filtering Chinese equities by turnover rate, a candlestick reversal concept, and the proportion of increased positions on the current day. It also includes a closing-price condition relative to a moving average and ranks…

EquitiesMomentumTechnical indicatorsChina markets
BigQuant

This overview outlines a quantitative workflow: collect and clean data, develop a strategy, manage risk, backtest on historical data, and automate execution. It then sketches strategies for Chinese equities and futures, including Turtle-style breakouts,…

EquitiesFuturesPairs tradingTechnical indicators
SuperMind

This post outlines an A-share screen that combines RSI below 65, parent-company net profit growth above 20% and no more than 100%, and three consecutive declining sessions. It presents the combination as a way to identify stocks with both technical weakness…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This post proposes an A-share stock screen combining a daily price range of at least one percent with a volume ratio between 1.5 and 6. It also applies two concentration-related filters based on circulating market value and total shares. The rationale is to…

EquitiesVolatilityTechnical indicatorsRisk management