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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

4,510 documents

Amberdata research

This July 2024 snapshot reviews crypto market conditions alongside regulatory news. It reports that centralized exchange spot volumes were broadly steady despite concerns about Bitcoin distributions and German government sales, while USDT continued to…

CryptoDeFiSpot marketsOn-chain data
SuperMind

This note describes a Chinese stock screen requiring amplitude above 1, appearance on the previous day’s Dragon-Tiger List, and a moving-average condition involving five averages. It presents the combination as a way to find volatile stocks receiving market…

China marketsEquitiesVolatilityTechnical indicators
SuperMind

The proposed equity screen combines an institutional accumulation measure above 5%, seven consecutive declining sessions, and a 9:25 a.m. gain below 6%. The accompanying explanation treats institutional buying as a sign of investor interest, while the losing…

EquitiesTechnical indicatorsSentimentRisk management
ProRealCode

The Sentiment Zone Oscillator (SZO), attributed to Walid Khalil, aims to represent market sentiment using a smoothed directional input. It assigns a positive or negative value according to whether a filtered closing price rose or fell, then applies a triple…

Technical indicatorsSentimentTrend following
SuperMind

The screen selects Chinese stocks with RSI below 65, more than one year since listing, and more than two limit-up sessions in the prior ten days. It combines a momentum or market-attention filter with a cap on the RSI reading and an eligibility rule for…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This Chinese A-share screening idea targets stocks in a metaverse category, with prior-day turnover above eight percent and an opening price within ten percent above or below the ten-day moving average. The article frames the conditions as a combination of…

EquitiesChina marketsTechnical indicatorsSentiment
SuperMind

The document describes a stock-selection screen that combines three filters: ranking shares by capital inflow, requiring specified price-to-earnings and price-to-book ranges, and limiting the gain at 9:25 to below a stated threshold. It frames capital flows…

EquitiesChina marketsSentimentTechnical indicators
SuperMind

The document describes a short-term stock screen based on two daily conditions: an increase in reported position share above 5% and a maximum decline between 4% and 5%. The intended interpretation is that a stock seeing notable buying interest despite a…

EquitiesChina marketsMean reversionSentiment
Amberdata research

The document summarizes an equity factor study on whether analyst attention predicts future company fundamentals and stock returns. It proposes adjusting a conventional analyst-coverage measure with a linear regression that removes effects associated with…

EquitiesFactor investingStatisticsSentiment
SuperMind

This post outlines a Chinese A-share screening strategy that selects main-board stocks with a 14-period RSI below 65, a daily gain above 1%, and an opening-auction price change between -2% and 5%. The accompanying example adds filters for recent amplitude…

EquitiesTechnical indicatorsMomentumSentiment
Amberdata research

This market commentary examines how election expectations and macroeconomic events may affect Bitcoin and Ether options. It discusses changes in 25-delta risk reversals, call-versus-put open interest, implied volatility across expirations, and estimated…

CryptoOptionsVolatilitySentiment
SuperMind

This document describes a Chinese equity screen combining daily turnover, year-over-year growth in net profit attributable to parent-company shareholders, and a “control” indicator. It selects stocks with turnover from 3% to 12%, profit growth above 20% and…

EquitiesChina marketsSentimentTechnical indicators
SuperMind

This stock-selection example combines a beverage and alcohol industry classification with turnover-rate filters. Its stated screen requires turnover between three and twelve percent, then also specifies a narrower condition above two and below nine percent.…

EquitiesChina marketsExecutionMarket microstructure
BigQuant

This overview contrasts efficient markets, where prices are assumed to incorporate available information, with inefficient markets, where prices may diverge from estimated value. It outlines the weak, semi-strong, and strong forms of the efficient market…

StatisticsArbitragePairs tradingSentiment
Amberdata research

This market commentary links a cooler inflation reading, revised growth data, and corporate crypto-treasury plans to a cautiously constructive risk backdrop. Its options discussion says BTC block trading leaned toward call selling and put-spread buying,…

CryptoOptionsVolatilityDerivatives pricing
Cryptohopper blog

The article presents three chart and market behavior signals that traders may watch for when assessing whether a cryptocurrency downtrend is nearing exhaustion. The signals are rising trading volume after a sustained decline, a sharp downward price move that…

CryptoTechnical indicatorsSentiment
SuperMind

This Chinese equity screening idea combines a minimum daily price range, a ranking based on large-order net flow, and three consecutive declining sessions. The article interprets the down-session pattern as a possible setup after weakness, while large-order…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

This pre-market A-share screening idea requires MACD to be above the zero line, ranks candidates by reported stock popularity, and applies a bounded ratio involving the previous day's turnover and current auction volume relative to the previous day's volume.…

China marketsEquitiesTechnical indicatorsSentiment
SuperMind

The document outlines a short-term screen for Chinese stocks in the metaverse industry. It selects stocks that appeared on the prior day’s trading-activity list known as the Dragon-Tiger List and whose KDJ oscillator’s K value has increased. The proposed…

EquitiesChina marketsTechnical indicatorsMomentum
BigQuant

The article describes a research workflow that pairs a language model’s reading of crypto news with live exchange data. The agent identifies token mentions, retrieves current prices and four-hour candles, and can consult order books when warranted. It then…

CryptoSentimentTechnical indicatorsMarket microstructure
SuperMind

This stock screen combines three conditions: prior-day price amplitude above a threshold, appearance on the previous day’s publicly reported active-trading list, and a stock code beginning with 60. The article presents the screen as a way to find volatile…

EquitiesChina marketsVolatilitySentiment
SuperMind

This Chinese equity screening post selects stocks with an amplitude above 1, a prior-day 9:15 matched price at the limit-down level, and a prior-day indicator described as major-player control. It proposes sorting qualifying stocks by another indicator and…

EquitiesChina marketsTechnical indicatorsSentiment