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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
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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

12,140 documents

SuperMind

This stock-selection idea combines three signals: a shortening MACD histogram below zero on a 15-minute chart, net inflows attributed to large orders during the afternoon session, and a ranking by capital intensity. The document describes capital intensity…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document presents a mainland China stock selection screen combining three conditions: MACD above its zero line, a daily gain greater than 1%, and at least two limit-up sessions in the past 500 days. It restricts the universe to main-board stocks. The…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equities screen selects stocks with positive returns over the past ten days, caps those gains at 35%, requires a stated size above 200 million, and ranks candidates by capital-flow strength. The post suggests that size may help address liquidity…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This stock screen combines three selection rules: rank by volume ratio and retain the top 100, require an institutional trading seat to appear in exchange disclosure data, and select stocks whose ten-day gain is positive but below 35%. The stated rationale…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This A-share screening proposal combines recent price-limit activity with two technical indicators. It selects stocks with more than two limit-up sessions during the last 10 days, weekly MACD above its zero line, and RSI below 65. The article frames the…

China marketsEquitiesMomentumBreakout
SuperMind

This A-share stock screen selects shares whose daily position-increase ratio exceeds 5%, while excluding stocks that hit the price limit on the previous day. It also invokes strong performance during 2021; the example implementation adds a…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This A-share stock selection proposal combines convergence among multiple moving averages with a ranking based on large-order net volume. The document’s refined screen calls for at least six averages, spanning 5 to 90 days, and inclusion among the top 100…

China marketsEquitiesTechnical indicatorsMarket microstructure
SuperMind

This A-share screening idea combines three market-behavior filters: a daily position increase above 5%, net buying by large orders during the afternoon, and at least two limit-up sessions within the prior 500 days. The rationale is that rising position…

China marketsEquitiesMomentumMarket microstructure
SuperMind

This Chinese stock-selection proposal combines a market-capitalization ceiling, a positive daily position-change ratio, and a closing price above the previous day’s low. The article interprets a rise in position share as evidence of buying interest and the…

EquitiesChina marketsMomentumRisk management
SuperMind

This proposed Chinese stock screen looks for at least five converging moving averages, turnover above 8% on the prior day, and more than two limit-up sessions within ten days. The article interprets clustered averages as a sign of a clear trend, high…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screen combines three short-term filters: a positive ten-day return below 35%, a high volume ratio, and strong net inflow attributed to major investors on the prior day. The article describes ranking both the volume ratio and prior-day…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This short-term Chinese equity screen selects stocks with turnover between 3% and 12% that appeared on the prior day’s trading leaderboard, then ranks them by the current day’s auction amount and keeps the top five. The article presents the conditions as a…

EquitiesMomentumMarket microstructureChina markets
SuperMind

This stock screen combines a turnover-rate band of 3%–12% with a candlestick range measure intended to identify a reversal pattern, then ranks qualifying stocks by market interest. The example calculates the smaller distance from the previous close to the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock screen combines recent price-limit performance with a measure of trading activity. It selects shares listed for more than ten days that recorded more than two limit-up sessions during the prior ten days, then ranks them by money-flow strength. The…

China marketsEquitiesMomentumBreakout
SuperMind

The proposed stock screen requires daily turnover between 3% and 12%, a reversal-style candle pattern described as an engulfing or recovery setup, and weekly MACD above zero. The criteria combine trading activity, price behavior, and a positive trend…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This screen combines three technical conditions: price amplitude above 1%, a negative MACD reading from two sessions earlier, and a rising 30-period moving average. It is presented as a way to find volatile stocks with a developing upward trend despite a…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock screen ranks candidates by capital intensity, using measures such as turnover and trading value, and requires turnover above 8% on the prior day plus more than two limit-up sessions within the preceding ten days. The rationale is to find actively…

EquitiesMomentumChina marketsBacktesting
SuperMind

This stock-screening concept ranks equities by a measure of money strength, using net inflows and turnover as examples, and combines that ranking with a 20-day moving average above the 120-day average. It also refers to a concentration condition expressed as…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This proposed A-share screen looks for stocks with at least five clustered moving averages, previous-day turnover above 8%, and a ten-day return above zero but below 35%. It also presents an expanded version adding valuation filters—price-to-earnings below…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note outlines an A-share stock screen combining at least five overlapping moving averages, a price around 18.5 yuan, and a 15-minute MACD histogram whose negative bars are getting shorter. It interprets clustered averages as a sign of price stability…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The note proposes screening Chinese stocks for three traits: at least five overlapping moving averages, at least two limit-up days during the prior 500 days, and market capitalization below 10 billion yuan with no losses. It presents the moving-average…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This note describes a short-term equity screen that ranks stocks by relative trading activity and combines that ranking with technical signals. It proposes selecting the top 100 by volume ratio, then looking for a joint bullish setup involving the Bollinger…

EquitiesChina marketsTechnical indicatorsMomentum