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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

12,226 documents

SuperMind

This document explains a simple automated Forex strategy driven by the crossover relationship between short- and long-period moving averages. When the short average is above the long average, the EA treats the market as bullish, closes any sell positions,…

ForexTrend followingTechnical indicatorsRisk management
SuperMind

This note describes a stock screen for Chinese shares whose codes begin with 60. It selects stocks with a daily high-to-low range greater than 1% of the opening price and a 10-day return above 0% but below 35%. The accompanying examples show how to express…

EquitiesChina marketsMomentumVolatility
SuperMind

This post proposes a Chinese stock screen for observations in 2021, combining daily amplitude above one percent with a reported daily decline between four and five percent. It frames the filters as a way to find volatile stocks that have fallen substantially…

EquitiesVolatilityChina marketsTechnical indicators
SuperMind

This A-share screening method combines three technical conditions: daily price amplitude above 1, upward dispersion in the day’s moving averages, and a weekly crossover in which the five-period moving average rises above the ten-period average. The intended…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This A-share stock screen combines turnover of 3% to 12%, market capitalization below 10 billion yuan, positive profitability, and positive net buying attributed to large traders during the opening auction. The article frames the filters as a way to find…

EquitiesChina marketsMarket microstructureRisk management
SuperMind

This article proposes screening stocks for a daily price range above one percent, a weekly MACD reading above zero with a bullish signal relationship, and a large absolute product of daily percentage change and a measure of net large-order flow relative to…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This article describes a stock-selection screen for companies associated with the metaverse theme. It combines bullish MACD and moving-average crossovers with a recent limit-up condition, a volume-ranking filter, and price and high-range checks. The stated…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This Chinese-language post proposes screening A-share stocks using three conditions: RSI below 65, seven consecutive sessions in which the close is below the open, and a turnover-adjusted ratio involving the current opening-auction volume and the prior day’s…

EquitiesTechnical indicatorsMomentumStatistics
SuperMind

This proposed screen targets main-board Chinese stocks with turnover between 3% and 12%, a daily gain greater than 1%, and at least one limit-up event during the preceding 25 days. The post frames turnover as a way to avoid both weakly traded and excessively…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese stock-selection proposal combines three technical filters: daily amplitude above 1%, weekly MACD above its zero line, and the K value from KDJ below 20. The weekly MACD condition is intended to keep stocks with a positive broader trend, while a…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

This stock selection rule screens for shares with amplitude above 1, circulating market value above 10 billion yuan, and turnover between 2% and 9%. It combines a price-movement condition with company size and trading activity, aiming to select larger,…

China marketsEquitiesFactor investingTechnical indicators
SuperMind

The article describes a stock screen that looks for a positive MACD value and a short moving average above a longer one, while excluding stocks that hit the daily limit-up on the previous day. It frames these conditions as signs of upward momentum while…

EquitiesMomentumTechnical indicatorsRisk management
SuperMind

The document describes a Chinese equity screen for metaverse companies that have recorded a limit-up day within the prior 25 trading days and maintained return on equity above 15% for five consecutive years. It presents ROE as a measure of sustained…

EquitiesChina marketsFactor investingBreakout
SuperMind

This Chinese equity screen combines three conditions: daily price range above a stated threshold, afternoon large-order net inflow, and company scale above a stated floor. The article presents these as signals of short-term demand and sentiment, with size…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

This Chinese equity screening rule selects stocks whose daily amplitude exceeds a stated threshold, whose intraday low falls within a narrow band of roughly four to five percent below the prior close, and whose previous close is above the 250-day moving…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese equity screening rule combines a daily price-range condition, a history of repeated limit-up moves over a 500-day window, and a ranking based on large-order net flow. The post describes calculating recent net buying and selling activity, ranking…

EquitiesChina marketsTechnical indicatorsMarket microstructure
SuperMind

This stock-selection rule screens main-board shares for a daily high-to-low range of at least one price unit, return on equity above 15% in each of the prior five years, and a daily gain greater than 1%. It combines a price-movement condition with a…

EquitiesChina marketsFactor investingTechnical indicators
SuperMind

This Chinese A-share screening idea combines three conditions: at least five overlapping moving averages, weekly MACD above zero, and a 9:25 a.m. price gain below 6%. The article interprets the moving-average condition as price stability, the MACD condition…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock-selection proposal filters companies classified in the metaverse industry by a volume ratio between 1.5 and 6 and a weekly MACD reading above zero. Its rationale is to combine relative trading activity with a positive longer-term momentum signal.…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This stock screen combines trading activity, a convertible-bond listing condition, and a short-term trend filter. It selects the top 100 stocks by trading volume over an unspecified period, requires the outstanding convertible bond name field to be…

China marketsEquitiesTechnical indicatorsMomentum
SuperMind

This post outlines a Chinese stock-screening idea that orders shares by “capital intensity” and keeps those with positive institutional activity, with 2021 specified as the target year. It defines capital intensity as trading volume relative to free float…

China marketsEquitiesMomentumStatistics
SuperMind

This stock-selection example combines a technical condition with trading activity and a dividend-related fundamental filter. It selects shares with a 14-period RSI below 65, prior-day auction turnover above 0.26, and a 2019 dividend ratio above 25%. The…

EquitiesTechnical indicatorsFactor investingBacktesting