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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

79,386 documents

BigQuant

This article describes five technical patterns that it presents as warnings of a possible stock market top: an accelerating large bullish candle, a shooting star, a high-wave candle, a hanging-man candle, and high-volume sideways trading after a rally. It…

EquitiesTechnical indicatorsVolatility
MQL5 code base

This brief MetaTrader 5 indicator note describes a higher-timeframe version of the Psychological indicator. Users can select the chart period through an input parameter, with the example set to a four-hour timeframe. The indicator therefore lets a trader…

Technical indicators
SuperMind

This article presents an equity screen combining three conditions: price range greater than one, return on equity above 15% in each of the prior five years, and turnover between 3% and 12%. It frames the filters as a way to find companies with sustained…

EquitiesFactor investingTechnical indicatorsStatistics
vn.py community

This short forum exchange addresses intermittent connections between VeighNa version 4.1.0 and CTP. A user says the connection details are identical across attempts, and a reply points to environment-specific operating hours as a possible factor. It further…

FuturesExecution
MQL5 code base

The document gives parameter settings for a EURGBP strategy that plots a channel over a specified bar period and uses an operating time window and a stop loss scaled to channel width. It reports a five-minute historical test spanning 2006 to 2009, with 2,523…

ForexTechnical indicatorsBacktestingRisk management
BigQuant

The document describes a Chinese equity screening idea that combines three filters: membership in the metaverse concept group, a positive institutional-flow signal, and an upward or positive DEA reading. It frames the first filter as a sector selection, the…

EquitiesTechnical indicatorsMomentumChina markets
SuperMind

This report summary explains a framework for estimating returns from IPO subscriptions in China, in the context of the first companies listing after the ChiNext registration reform. It identifies three drivers of subscription returns: the amount raised, the…

EquitiesStatisticsEvent-driven
MQL5 code base

This short description presents RoundPrice-Ext as an indicator for confirming potential market-entry signals. It identifies Tartan as the author and notes that the indicator was first implemented in MQL4 and published in 2007. Beyond that, it does not…

Technical indicatorsExecution
SuperMind

This Chinese-language post describes an A-share screening idea: select stocks associated with the metaverse industry that appeared on the previous day's trading-record list and had at least one limit-up event during the prior month. It frames the combination…

EquitiesChina marketsMomentumEvent-driven
MQL5 code base

This document introduces a volatility indicator intended to distinguish quieter from more volatile market conditions. It motivates the approach by noting that standard deviations can measure variation, but fixed thresholds may not provide useful boundaries…

VolatilityTechnical indicatorsStatistics
MQL5 code base

This document outlines an expert advisor (EA) template for applying user-defined long and short entry signals while managing open trades. Users supply entry logic through separate signal functions. The template is described as placing one buy or sell order…

ExecutionRisk managementTechnical indicators
Amberdata research

This podcast summary introduces Superstate's approach to representing traditional financial assets on a blockchain. Its featured product, USTB, is described as a tokenized short-term US government bond product. The discussion centers on using blockchain to…

Fixed incomeDeFiCryptoDerivatives pricing
MQL5 code base

This document describes a version of the AltrTrend Signal indicator with an input that lets users select the timeframe used by the indicator. It gives a four-hour period as the example setting, allowing the indicator to be configured for a period different…

Technical indicators
MQL5 code base

This document describes a version of the TSI_WPR indicator that lets a user choose the chart period it uses through an input parameter. The example setting is a four-hour period, so the indicator can be applied on a chart while drawing from a selected…

Technical indicators
SuperMind

The document proposes a Chinese equity screen for stocks classified in the metaverse industry. It selects names with a volume ratio above 1.5 and below 6, and a price increase under 6% at 9:25. The stated rationale is to combine elevated but bounded trading…

China marketsEquitiesTechnical indicatorsMomentum
BigQuant

This Chinese-language article introduces order flow toxicity through the market microstructure problem of information asymmetry. Informed traders may profit at liquidity providers’ expense; if this adverse selection becomes severe, market makers may withdraw…

Market microstructureHigh-frequency tradingStatistics
SuperMind

The proposed screen selects stocks associated with the metaverse theme when the prior day’s actual turnover is between 3% and 28%, and the current day’s position increase share exceeds 5%. The article interprets the turnover band as a possible sign of…

China marketsEquitiesTechnical indicatorsRisk management
BigQuant

This Chinese-language article introduces a customizable stock-selection strategy on a quantitative trading platform. It describes combining five selection rules, mainly intended to find stocks that have fallen sharply and begun to stabilize, with some rules…

China marketsEquitiesBacktestingPosition sizing
MQL5 code base

The Notches indicator connects successive highs that rise and successive lows that fall. Its description uses the relative lengths of these line sequences to suggest possible entry points: in an uptrend, the high-based lines are said to be shorter, while in…

Technical indicatorsTrend following
SuperMind

This Chinese stock-selection post proposes screening for companies in the metaverse sector with a circulating share count at or below 5.5 billion shares, while excluding stocks that reached the daily limit-up on the previous session. Its rationale combines a…

EquitiesChina marketsTechnical indicatorsVolatility
FinRL

This FAQ describes the scope and practical use of an educational financial reinforcement learning library. It covers supported data sources, feature inputs such as sentiment, training options, reward functions, hyperparameter tuning, and algorithm choices.…

Machine learningBacktestingStatisticsRisk management
SuperMind

This stock selection rule screens for Shanghai-listed shares whose daily trading range exceeds one percent and that did not close at the daily limit-up on the prior session. The document frames the range condition as a way to find more volatile candidates…

EquitiesChina marketsVolatilityTechnical indicators
MQL5 code base

This brief indicator description presents a possible price reversal signal based on a moving average line. It suggests that a turn in the indicator may warn that price direction could change, but gives no entry rules, exit rules, or method for confirming a…

Technical indicatorsMean reversion
SuperMind

This proposed stock screen combines price volatility, a recent large daily gain, and large-order net inflows. It calls for an amplitude above 1, at least one daily gain of 10% or more within the past 25 trading days, and big-order net quantity above 0.05 for…

EquitiesMomentumVolatilityChina markets