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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

22,592 documents

SuperMind

This document describes a simple Chinese equity screening rule: select stocks with turnover between 3% and 12%, a ten-day gain above zero but below 35%, and a price below 12. Its accompanying example code also excludes selected exchange segments, stocks…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This proposed stock screen looks for shares with daily amplitude above 1, a reversal or engulfing-style pattern, and no limit-up move on the previous day. Its intended logic is to find volatile stocks showing a change in recent price direction while…

China marketsEquitiesTechnical indicatorsMean reversion
SuperMind

This stock-screening proposal combines daily price amplitude above 1, upward divergence in moving averages, exclusion of special-treatment stocks, and a limit-up-related condition. It aims to find volatile shares with rising price action and liquidity. The…

China marketsEquitiesTechnical indicatorsMomentum
backtrader

This Backtrader example demonstrates how to monitor portfolio drawdown while running a simple moving-average crossover strategy. It calculates a 15-period simple moving average and uses a crossover between closing price and the average to generate buy and…

EquitiesTechnical indicatorsRisk management
BigQuant

This report summary describes an index-timing model that applies wavelet analysis to filter price series before using a support vector machine to predict direction. It compares daily and weekly data and different model settings for the Shanghai Composite and…

China marketsEquitiesMachine learningStatistics
SuperMind

This document describes a Chinese equity screen for metaverse-related stocks. It combines a volume-ratio range with a morning-star candlestick signal, and also discusses adding market capitalization and other filters. The accompanying explanation frames the…

EquitiesChina marketsTechnical indicatorsBacktesting
BigQuant

This research summary introduces the “Huayin Linjian” factor as a way to identify A-shares that may be undervalued because their prices have not been strongly driven by information-related trading pressure. Its stated premise separates price movements into…

EquitiesChina marketsFactor investingStatistics
SuperMind

This post presents an equity screen that selects stocks with a daily high-low range above one unit and return on equity above 15% in each of the previous five years, then ranks candidates by the day’s auction amount and keeps the top five. Its proposed…

EquitiesChina marketsFactor investingRisk management
SuperMind

This Chinese-language post proposes screening A-shares associated with the metaverse theme when they appeared on the previous day’s trading alert list and the five-week moving average crosses above the ten-week average. It describes the conjunction of an…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

This brief strategy outline combines a machine-learning stock ranking model with market-level and individual-stock exit rules. It proposes training a StockRanker on price, volume, and valuation factors, then applying three conditions to the CSI 300 index as…

EquitiesMachine learningTrend followingRisk management
BigQuant

This tutorial demonstrates a workflow for evaluating WorldQuant Alpha#100 on Chinese equities. It builds the factor from price and volume signals, including the close’s position within the daily range, the relationship between closing price and ranked…

EquitiesFactor investingBacktestingStatistics
SuperMind

The document outlines a stock screen requiring a 14-period RSI below 65, a favorable company type, and an opening move of less than 6% in absolute terms relative to the previous close. It frames the RSI condition as a way to avoid highly elevated readings…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

The document describes a Chinese equity screening rule that combines metaverse industry classification, a positive institutional-flow signal, and year-over-year growth in net profit attributable to parent-company shareholders above 20% and no greater than…

EquitiesChina marketsFactor investingRisk management
ProRealCode

The indicator constructs a central reference and four resistance and four support levels from the previous day’s high, low, and close. The previous close serves as the central pivot. Each surrounding level offsets that close by a fraction of the prior…

Technical indicatorsFuturesEquitiesStatistics
SuperMind

This stock screen combines three signals: price amplitude above a stated threshold, a condition described as upward divergence in the day’s moving averages, and afternoon large-order net inflow. Its rationale is to pair price movement and trend information…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The screen targets Chinese A-share stocks with an RSI below 65, seven consecutive sessions meeting a bearish-candle condition, and an intraday low between 4% and 5% below the reference price. A later version adds a circulating market-value range of 5–200…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

The post proposes a Chinese equity screen combining three criteria: a 14-period RSI below 65, membership in the beverage and alcohol import-export industry, and market capitalization of at least 200 million. It frames RSI as a technical condition and…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This Chinese-language note proposes selecting stocks listed in the current year when turnover falls between 3% and 12% and the reported institutional-flow measure is positive. It frames turnover as a screen for trading activity and institutional movement as…

EquitiesChina marketsFactor investing
SuperMind

This Chinese stock-selection idea combines three conditions: a 14-period RSI below 65, best-bid volume greater than best-ask volume, and more than two limit-up sessions during the prior ten days. The accompanying discussion interprets the RSI threshold as…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This stock-screening approach selects securities with MACD above zero and a weekly close crossing above its 30-week moving average, then ranks candidates by market attention or heat. It runs after each trading day’s close. The stated rationale is to pair a…

EquitiesMomentumTrend followingTechnical indicators
SuperMind

This document presents a Chinese equity screen that combines a turnover band with seven consecutive declining sessions and a nonempty name for an outstanding convertible bond. It then proposes adding fundamental filters: market capitalization above the…

EquitiesChina marketsTechnical indicatorsStatistics
FMZ forum

The document contrasts applying for CXMT shares in a Chinese A-share IPO with trading a pre-listing perpetual contract on Hyperliquid. It outlines the stated eligibility requirements and estimated allotment odds for the IPO, then explains that the contract…

CryptoEquitiesPerpetual futuresRisk management