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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

BigQuant

This article presents a discretionary trading framework for Chinese equities, organized around risk control, opportunity selection, and execution. Its defensive principles include cutting positions when the trade thesis fails, diversifying exposure, avoiding…

EquitiesChina marketsRisk managementTrend following
SuperMind

This document presents a Chinese equity screening rule that selects stocks with daily amplitude above 1, turnover between 2% and 9%, and stronger capital flow. Its rationale is to combine price movement and trading activity with an estimate of buying…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

The document describes a set of trading scripts for adding to positions as price moves favorably. Traders can enter at market or use a stop order at the prior bar’s high or low, then place three additional pending orders in the same direction. A separate…

Trend followingPosition sizingRisk managementTechnical indicators
BigQuant

This review examines whether market, macroeconomic, sentiment, valuation-spread, and momentum signals can forecast equity factor returns. It explains why factor premia can vary as risk compensation, investor behavior, and market frictions change. The…

Factor investingMomentumSentimentBacktesting
SuperMind

This Chinese A-share screening idea combines three filters: rank stocks by capital-flow strength, require market capitalization below 10 billion yuan, and exclude companies reporting losses. It also limits the 9:25 a.m. gain to below 6%, aiming to avoid…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This Expert Advisor combines RSI threshold signals with a grid position-building approach. After an initial entry, it can add positions as price moves against that trade. An overlap function aims to reduce drawdown by closing selected combinations of…

Technical indicatorsGrid tradingRisk managementPosition sizing
FMZ forum

Scalping seeks to accumulate small gains from brief price movements through frequent intraday trades. Positions may last seconds or minutes, and the approach relies on quick entries and exits, often using small time-frame charts, momentum indicators, support…

EquitiesHigh-frequency tradingExecutionMarket microstructure
ProRealCode

This document explains a momentum oscillator built from a second-order high-pass filter, a second-order Super Smoother, and rolling root-mean-square normalization. The high-pass stage removes slower price movement, smoothing reduces noise, and normalization…

Technical indicatorsMomentumMean reversionTrend following
SuperMind

This Chinese-language post outlines an equity selection rule that screens for stocks with turnover between 3% and 12%, inclusion on the previous day’s trading leaderboard, and then ranks qualifying names by capital-flow strength from highest to lowest. It…

EquitiesTechnical indicatorsMomentumRisk management
MQL5 code base

This document describes a defensive trading monitor that supervises open positions without initiating trades. Its controls can be enabled separately: it can detect positions without stop losses and set a stop using chart-timeframe ATR, enforce a daily loss…

Risk managementPosition sizingTechnical indicators
SuperMind

This stock-selection note proposes filtering for shares with amplitude above 1, an opening price near the ten-day moving average, and scale above a stated threshold of 200 million. It presents the screen as a way to find moderately sized stocks with some…

EquitiesTechnical indicatorsVolatilityFactor investing
BigQuant

This report summary describes the risk-prediction component of a multi-factor investment framework. It outlines adjustments to factor covariance estimates, including Newey–West autocorrelation correction, eigenvalue adjustment, and volatility-bias…

Factor investingRisk managementVolatilityPortfolio construction
SuperMind

This Chinese stock-screening note combines three conditions: amplitude above 1, a shortening negative MACD histogram on a 15-minute chart, and a high equal to the highest level of the prior two days. It includes example indicator formulas and a Python…

EquitiesTechnical indicatorsMomentumRisk management
BigQuant

The report presents DFQ-2018, a structured risk model for Chinese A-shares. It combines industry and style factors to identify exposures, estimate stock-return covariance, and support portfolio performance analysis. Among its design choices, it uses a…

EquitiesChina marketsFactor investingRisk management
FMZ forum

This article argues that continuing periodic fund contributions indefinitely can reduce the usefulness of later purchases for lowering average cost, while leaving a large accumulated position exposed to market declines. It uses a historical contribution…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note outlines a short-term Chinese stock screen using daily price range, a closing price of 18.5 yuan, and more than two limit-up sessions within ten days. It interprets repeated limit-ups as a sign of recent speculative attention and positions the…

EquitiesChina marketsMomentumTechnical indicators
SuperMind

This note proposes screening metaverse-related Chinese stocks that appeared on the previous day's trading榜 and had a share price below 12 yuan. It frames the price filter as a way to narrow the list to lower-priced shares, while treating the trading榜…

EquitiesChina marketsEvent-drivenRisk management
SuperMind

This note describes a Chinese equity screen combining metaverse industry classification, a rounded-base chart pattern, and a band for the shareholding concentration of the ten largest shareholders. It presents the concentration range as a way to avoid…

EquitiesChina marketsTechnical indicatorsRisk management
FMZ forum

This post warns readers to scrutinize performance claims for automated trading strategies. It alleges that some public track records may omit fees, conceal liquidation events through repeated failed orders, or include referral rebates as though they were…

BacktestingRisk managementExecution
MQL5 code base

This document describes an Expert Advisor built around an initial pair of buy and sell stop orders. When one activates, the other is canceled. If the resulting position moves against the trader, the system opens an opposite position at progressively wider…

ForexGrid tradingPosition sizingRisk management
Amberdata research

This market commentary reviews BTC and ETH options conditions ahead of expected ETH ETF trading. It reports falling realized volatility and softer one-month implied volatility, alongside positive carry that may appeal to traders expecting range-bound prices.…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This note describes an equity screen combining daily price range, dividend yield for 2019, and company ownership or scale. The proposed universe consists of stocks with an intraday high-to-low range above one percent, a 2019 dividend yield above 25%, and a…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This Expert Advisor opens positions when a Pin Bar indicator signals a setup. Its filters seek candles with sufficient high-to-low range, a small body relative to the candle, a body near the prior candle’s range boundary, and a dominant shadow compared with…

ForexTechnical indicatorsRisk managementBacktesting
SuperMind

This post describes a historical A-share filter that combines daily price amplitude above 1%, observations from 2021, and a company-type classification. It presents amplitude as a way to identify more volatile stocks and company type as context for…

EquitiesChina marketsVolatilityRisk management