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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

29,558 documents

BigQuant

The strategy combines model-based stock ranking with trend and timing filters for a selected universe of China A-shares. The author describes ranking stocks by predicted prospects, then screening for recent relative strength, liquidity, large-order money…

EquitiesChina marketsMachine learningMomentum
MQL5 code base

This document describes a chart dashboard that brings several technical readings together: current and higher-timeframe trend, RSI, ATR relative to its average, a recent high-low channel, average daily range usage, and spread. A combined bias label is…

Technical indicatorsBreakoutTrend followingVolatility
ProRealCode

This scalping indicator combines moving-average alignment with candle retracement levels to generate long and short signals. It identifies a broader direction from several simple and exponential moving averages, then looks for a bar that retraces by a…

Technical indicatorsRisk managementVolatilityExecution
SuperMind

This Chinese equity-screening note proposes selecting stocks with amplitude above 1, a main-force-control condition from the prior day, and floating market capitalization above 10 billion yuan. It interprets amplitude as a sign of greater price movement, the…

EquitiesChina marketsVolatilityRisk management
SuperMind

This document describes a daily, after-close stock screen combining three conditions: amplitude above 1, institutional participation above 30, and more than ten years since listing. It presents the approach as a way to find established companies that show…

EquitiesTechnical indicatorsRisk management
MQL5 code base

This Expert Advisor uses the iFractals indicator to place pending stop orders in the direction of developing price structure. A buy stop is considered when the two most recent upper fractals show the latest one above the preceding one. Its initial stop loss…

Technical indicatorsBreakoutRisk managementPosition sizing
SuperMind

This Chinese stock-selection note describes a screen combining daily price amplitude, a prior-day indication of major-player control, and positive net volume from large orders for at least three consecutive days. It presents these signals as a way to find…

EquitiesChina marketsMomentumMarket microstructure
SuperMind

The proposed equity screen combines a daily price-range filter, a market-capitalization ceiling of 10 billion yuan, positive net profit across the most recent four quarters, and a positive recent return. The article frames these filters as a mix of price…

EquitiesTechnical indicatorsRisk managementChina markets
SuperMind

This A-share screening recipe selects stocks with daily amplitude above 1%, that were not limit-up or limit-down the previous day, and with a circulating market capitalization from 5 billion to 10 billion yuan. The post interprets amplitude and prior limit…

EquitiesTechnical indicatorsRisk managementChina markets
vn.py community

This tutorial explains how VeighNa’s backtesting engine replays historical daily bars to evaluate an equity strategy. It walks through configuring instruments, interval, dates, and initial capital; attaching a strategy and dated signal table; loading data;…

EquitiesBacktestingExecutionRisk management
MQL5 code base

The document explains a basic MT5 Expert Advisor news filter for XAUUSD. It defines a list of scheduled news timestamps and checks whether the current server time falls within a configurable interval before or after any listed event. While inside that…

ForexCommoditiesEvent-drivenRisk management
FMZ forum

The article argues that identifying market turning points consistently is difficult and that missing a small number of the strongest up days can sharply reduce long-term returns. It contrasts steady index exposure with hypothetical timing outcomes in the US…

EquitiesUS marketsChina marketsStatistics
BigQuant

This short market commentary presents a July 2020 view of Chinese indices and sector positioning. It describes the Shanghai Composite and SSE 50 as correcting while potentially forming daily-chart continuation setups, and says the ChiNext remained in a…

EquitiesChina marketsTrend followingRisk management
BigQuant

This forum post asks how to implement minute-level backtesting for a stock strategy that receives signals at the daily level and refines exits using intraday prices. The proposed rules would sell a holding after it rises by a specified amount and then…

EquitiesBacktestingExecutionRisk management
SuperMind

The document translates David Polen’s bottom-up investment principles into a quantitative stock-selection approach. The original framework emphasizes financially strong companies, ample free cash flow, earnings momentum, valuation based on expected returns…

EquitiesChina marketsFactor investingPortfolio construction
SuperMind

This Supermind screen selects listed Chinese stocks with price amplitude above 1, circulating market capitalization above 10 billion yuan, and a positive price-to-earnings ratio. The proposed rationale is to combine price movement, company scale, and…

EquitiesChina marketsTechnical indicatorsFactor investing
SuperMind

This Supermind stock screen selects main-board Chinese equities associated with the robotics concept. It requires turnover between 3% and 12%, circulating market capitalization below 10 billion yuan, and a daily maximum decline between 4% and 5%. The…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This proposed Chinese equity screen selects stocks classified in the metaverse industry, with the opening price near the 10-day moving average, and with a nonempty field for an outstanding convertible bond name. The technical condition is presented as a…

China marketsEquitiesTechnical indicatorsRisk management
Kraken Learn

This guide outlines Australian crypto tax reporting at a high level, describing the financial-year calendar, filing deadlines, and the general distinction between crypto activity treated as capital gains and activity treated as income. It says taxpayers…

CryptoRisk management
vn.py community

The discussion addresses how a strategy can show more losing trades than winning trades while its cumulative account value still rises. The reply explains this through the aggregate size of gains and losses: a smaller number of sufficiently large wins can…

StatisticsRisk managementBacktesting
SuperMind

This Chinese stock selection proposal combines three filters: at least five moving averages converge, KDJ has just formed an upward crossover, and the stated 2019 dividend ratio exceeds 25%. The explanation interprets moving average convergence as possible…

EquitiesChina marketsTechnical indicatorsFactor investing
MQL5 code base

This document describes an Expert Advisor that trades from Stochastic indicator signals. Users configure upper and lower signal levels and choose which bar to compare with the current bar. The description does not specify the exact entry rules, so the signal…

Technical indicatorsPosition sizingRisk management
Freqtrade

This Freqtrade strategy uses three Supertrend direction signals to confirm each trade. It enters a long position when all three buy-side indicators point up and volume is present, and marks an exit when all three sell-side indicators point down with volume…

CryptoTrend followingTechnical indicatorsBacktesting
SuperMind

The document describes an A-share stock screen that combines a 14-period RSI ceiling with the sign of price change multiplied by a five-day proxy for large-order flow. It also filters for positive auction-period price movement and buying activity, minimum…

EquitiesTechnical indicatorsChina marketsMarket microstructure