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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

12,140 documents

SuperMind

This stock-selection approach combines a weekly MA5 crossover above MA10 with a turnover range of 3% to 12% and a circulating share count no greater than 5.5 billion. The article also presents a revised version that adds market capitalization and…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This stock-selection approach combines a relative strength index ceiling, a market-capitalization band, and a newly formed KDJ bullish crossover. It selects stocks with RSI below 65 and tradable market value between 5 billion and 10 billion yuan. The…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese stock-selection post describes a simple screen combining three conditions: daily amplitude above a threshold, a specified relationship between the latest close and recent moving averages, and a share price below a fixed cutoff. The accompanying…

EquitiesTechnical indicatorsMomentumChina markets
MQL5 code base

This note presents a variation of the discontinued signal line approach applied to RSI. The original method uses a presumed central level, such as the RSI midpoint, as a reference for oscillator signals. The author questions whether such fixed reference…

Technical indicatorsMomentumTrend following
MQL5 code base

The document describes an automated trading system that can enter on RSI divergence or on classic overbought and oversold reversals. Bullish divergence means price makes a lower low while RSI forms a higher low; bearish divergence means price reaches a…

Technical indicatorsMean reversionMomentumRisk management
SuperMind

This stock-selection proposal combines three technical conditions: trading amplitude above 1, a weekly five-period moving average crossing above the ten-period average, and price above its five-day average. The article describes the screen as a way to…

EquitiesTechnical indicatorsMomentumChina markets
ProRealCode

This indicator note explains the Range Expansion Index (REI), a momentum oscillator attributed to Thomas DeMark. It compares selected changes in highs and lows with the absolute size of those changes over a defined lookback. Conditions based on prior highs,…

Technical indicatorsMomentumStatistics
SuperMind

This Chinese stock-screening post describes a rule combining a turnover rate between 3% and 12%, a positive 10-day gain below 35%, and at least two limit-up sessions within the prior 500 days. It presents the screen as a way to combine trading activity,…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

The document describes an equities screening rule that combines RSI below 65, the product of price change and net large-order flow, and a 20-day moving average above the 120-day moving average. It presents the combination as a way to select stocks using both…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This screen selects stocks whose codes begin with 60, whose daily high-low amplitude exceeds 1%, and whose KDJ indicator has just crossed upward. The post describes the crossover as a possible sign of improving market sentiment and uses the code prefix to…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen ranks shares by capital strength, selects the five with the highest amount traded in the current opening auction, and limits candidates to those with a positive ten-day return below 35%. The stated rationale is to favor stocks receiving…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock selection rule combines three conditions: turnover between 3% and 12%, a rising DEA indicator, and weekly MACD above the zero line. The post presents these as filters for liquidity, improving shorter-term momentum, and a positive longer-term…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock screen combines daily price weakness with trading activity: it selects shares with an amplitude above 1%, turnover above 2% and below 9%, and seven consecutive sessions in which the close is lower than the prior close. The document frames this as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-screening idea combines an amplitude threshold above 1, a prior-day 9:15 matched price at the limit-down level, and an increasing K value from the KDJ indicator. The post interprets large price ranges as opportunity, the auction price condition as…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This Chinese-language post outlines a short-term A-share screening rule. It selects stocks classified in the metaverse theme that appeared on the previous day’s trading rankings, then applies a five-day moving-average condition. The post offers formula and…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese-language post describes an equity screen requiring turnover between 3% and 12%, a 2021 listing year, and rising price lows. It interprets successively higher lows as a sign of improving rebound strength and possible momentum or trend. The post…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This proposed equity screen combines a daily amplitude threshold with a ratio involving the prior day's turnover and current auction volume relative to prior-day volume. It also uses a rising 30-day moving average as a trend filter. The discussion describes…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

The post proposes a Chinese equity selection rule combining turnover, order book imbalance, and a weekly chart signal. It screens for stocks with turnover between 3% and 12%, bid volume at the best price greater than ask volume, and a weekly close crossing…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This document outlines a stock-selection screen requiring MACD above zero, upward-moving averages, and at least one limit-up event during the preceding 25 days. The conditions are framed as signals of positive trend and recent market attention. It includes…

EquitiesMomentumTechnical indicatorsBacktesting
SuperMind

This Chinese stock-screening note combines a price-range filter, exclusion of ST-designated shares, a five-period trend condition, and large or extra-large buy orders during the opening auction. It also limits selection to before 10 a.m. The example…

EquitiesMomentumTechnical indicatorsMarket microstructure
SuperMind

This A-share stock screen selects companies in the metaverse theme with prior-day turnover above 8% and a signal interpreted as institutional buying. The proposed refinement also requires either a market-cap ranking in the top 30% or a 30-day return ranking…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

This Chinese equity selection recipe combines three filters: return on equity above 6% in each of the prior two years, high dividend yield, and net inflows attributed to major market participants. It also excludes stocks that closed at the daily price limit…

EquitiesFactor investingMomentumChina markets