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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
WonderTrader
14 documents
Alphalens
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

29,558 documents

Amberdata research

This weekly crypto market note reviews Bitcoin’s rally, liquidation-driven price swings, upcoming US macro events, and the implications for options volatility. It connects a sharp move through prior price levels with short liquidations, a subsequent rapid…

CryptoOptionsVolatilityRisk management
FMZ forum

The document presents two chart-based trading setups. In the 1-2-3 method, price breaks a prior trend line, retraces, and turns back in the opposite direction; a qualifying retracement must meet a stated fraction of the first move. The proposed entry follows…

EquitiesTechnical indicatorsBreakoutRisk management
SuperMind

The document outlines a Chinese equity screening rule combining a daily amplitude threshold, a previous session’s 9:15 matched price at the limit-down level, and year-over-year net profit growth attributable to parent-company shareholders within a specified…

EquitiesChina marketsTechnical indicatorsTrend following
MQL5 code base

The document describes a protective expert advisor that monitors account equity and can close open orders and disable automated trading when a configured threshold is reached. It presents two uses: an equity take profit that halts trading after gains reach a…

Risk managementExecution
MQL5 code base

This indicator combines a moving average with Average True Range bands. It plots the moving average as a central reference, with upper and lower bands at 1.5 and 2 ATR distances. The proposed entry is a close across the moving average: a long signal follows…

Technical indicatorsVolatilityTrend followingRisk management
SuperMind

This note describes a Chinese stock screen combining price amplitude above 1%, a prior-day main-fund-control condition, and exclusion of ChiNext and STAR Market stocks. It presents amplitude as a way to avoid low-movement securities and a main-fund-flow…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note proposes a Chinese equity watchlist screen requiring daily price amplitude above 1%, at least one limit-up event during the preceding 25 days, and a listing age greater than one year. It presents volatility as a way to find stocks with larger price…

EquitiesChina marketsVolatilityBreakout
SuperMind

This note outlines a short-term Chinese equity screen that combines a daily price-range threshold, rising short-term moving-average behavior, and an increase in the K component of KDJ. It presents these conditions as signals of volatility and possible…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note describes a Chinese equity screen combining turnover between 3% and 12%, a K value below 20, and positive MACD. It further frames selection around MACD behavior above the zero line, while its indicator example favors rising MACD and its Python…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

This overview explains Chinese depositary receipts (CDRs) as securities traded domestically that represent rights in foreign shares through a depositary institution. It summarizes the historical pilot eligibility criteria described in the document, says…

EquitiesChina marketsMarket microstructureRisk management
MQL5 code base

This brief description introduces an expert advisor built around two moving averages. It pairs their signals with a trailing stop, which adjusts the exit level as a position moves favorably. The document credits one person with the trading idea and another…

Technical indicatorsTrend followingRisk management
MQL5 code base

This indicator classifies closes by their relationship to the previous bar and tracks the length of each resulting sequence. It describes internal closes as closes within the prior bar’s range, which may reflect sideways or slowly drifting price action; a…

Technical indicatorsTrend followingRisk management
SuperMind

This document proposes a Chinese stock-selection screen focused on companies associated with the robotics theme. Its initial criteria are daily amplitude above 1%, circulating market capitalization below 10 billion yuan, and return on equity above 15% in…

EquitiesChina marketsFactor investingRisk management
ProRealCode

This proposed EUR/USD strategy on an hourly chart looks for a sharp move through a Bollinger Band followed by a close beyond the opposite band. The long setup also requires the positive directional indicator to exceed the negative one, while the short setup…

ForexTechnical indicatorsMean reversionRisk management
MQL5 code base

This Expert Advisor combines a random-number gate with a moving-average price relationship to decide whether to open a position. The random draw is compared with one of eight thresholds represented by poker-hand labels; if it falls below the selected…

FuturesTechnical indicatorsStatisticsBacktesting
OctoBot

The document introduces spot trading as buying or selling cryptocurrency at the current market price, where the trader transacts in the asset rather than a futures or options contract. It outlines basic setup: choose an exchange that lists the desired pair,…

CryptoSpot marketsExecutionRisk management
SuperMind

This proposed stock screen selects shares with price amplitude above 1%, excludes Beijing-labeled A-shares, and requires a “today control” indicator above a stated threshold. The document supplies example formulas for these conditions and a Python-style…

EquitiesTechnical indicatorsVolatilityRisk management
SuperMind

This stock-selection rule combines three filters: daily price amplitude above 1%, data from 2021, and a reversal or engulfing-style condition. The document describes the reversal condition through comparisons of smoothed percentage changes in recent closing…

EquitiesTechnical indicatorsVolatilityBacktesting
MQL5 code base

This expert advisor generates a directional signal from a selected bar’s open and close: a close above the open indicates a buy, while a close below the open indicates a sell. It evaluates signals only when a new bar appears. A reverse mode can invert the…

Technical indicatorsForexExecutionPosition sizing
MQL5 code base

This MetaTrader indicator identifies supply and demand zones by finding sharp price moves relative to ATR, then marking the preceding base candle. It can measure total range or net body movement across a multi-candle window, merge nearby zones of the same…

Technical indicatorsVolatilityRisk management
BigQuant

The author recounts developing and repeatedly revising a set of strategies, then lays out a research-to-deployment process. It begins by defining intended capital capacity, trading costs and order size, the balance between win rate and payoff, training data…

EquitiesBacktestingRisk managementPosition sizing
SuperMind

This screen selects listed stocks outside the Beijing A-share market with turnover between 3% and 12% and circulating market value between 5 billion and 10 billion yuan. The article frames the market-value range as a way to focus on stocks with a chosen size…

EquitiesChina marketsRisk management