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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
Quantpedia
86 documents
TqSdk
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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

29,558 documents

Hyperliquid docs

The support note explains liquidation in terms of account equity and maintenance margin. When positions move against a trader and account equity falls below the required maintenance level, a liquidation event occurs. This links trading losses to the…

CryptoRisk managementPerpetual futures
SuperMind

This proposed stock screen looks for companies with daily high-low range above 1%, market capitalization below 10 billion, and no losses. The initial description refers to 2021 data; the refined version adds positive net income in each of the latest four…

EquitiesTechnical indicatorsRisk managementPosition sizing
Amberdata research

This article explains how on-chain monitoring can help liquidity providers and DeFi teams detect contract risks and unusual pool activity. It outlines reentrancy, code flaws, and front-running as common vulnerabilities, then recommends tracking liquidity,…

CryptoDeFiOn-chain dataRisk management
BigQuant

The document introduces covariance as a measure of how two assets move together, then outlines a matrix-based approach to portfolio risk. It describes collecting observations for several stocks, calculating each series’ mean, subtracting that mean, and using…

Portfolio constructionRisk managementStatistics
MQL5 code base

This document describes a trailing-stop service that can manage one open position per symbol. For a real stop, the trader includes the desired stop distance in points in the order comment. For a virtual stop, the trader creates a horizontal chart line for…

Risk managementPosition sizingExecution
SuperMind

This A-share stock screen combines a turnover range of 3% to 12%, a positive 10-day gain below 35%, and at least one limit-up event in the previous month. The article characterizes the setup as a momentum-oriented search for stocks that have recently shown…

EquitiesChina marketsMomentumBreakout
ProRealCode

This strategy trades the DAX using signals calculated on an hourly timeframe and entries managed on a one-minute chart. A long signal requires a bullish candle pattern, a fast EMA crossing above a slower EMA, and RSI crossing above its midpoint; the short…

FuturesTrend followingTechnical indicatorsRisk management
MQL5 code base

This MetaTrader expert advisor identifies a flat range and uses its boundary lines to place pending orders. It also evaluates a smoothed Standard Deviation across the current and four preceding bars: a strictly rising sequence is treated as evidence that a…

ForexTechnical indicatorsBreakoutVolatility
MQL5 code base

The document describes an MQL5 utility for detecting unusually long intervals between incoming market ticks. It measures elapsed time between ticks and compares the gap with a configured threshold. An ATR-based volatility check can suppress alerts when wider…

ExecutionMarket microstructureVolatilityRisk management
BigQuant

This debugging note follows an attempt to combine a daily top-ten stock selection strategy with exits when a holding gains about 9% or loses 5%. The author reports that `context.options['data']` is a DataSource and has no `positions` attribute, so it cannot…

EquitiesExecutionRisk managementPosition sizing
MQL5 code base

The document outlines an Expert Advisor that generates trade signals from Doji-like candlesticks. It evaluates the previous three completed bars when a new bar appears, excluding the still-forming current bar. A configurable maximum candle-body height…

ForexTechnical indicatorsRisk management
SuperMind

This community post describes a Chinese stock screen based on three conditions: a prior-day trading range above a threshold, an opening price near the ten-day moving average, and a recent run of consecutive limit-up sessions. The moving-average condition is…

EquitiesTechnical indicatorsBreakoutChina markets
SuperMind

This community post proposes a Chinese equity screen combining a daily price-range threshold, a recent reversal or engulfing pattern, robot-concept classification, and a circulating market capitalization below 10 billion yuan. The stated intent is to find…

EquitiesTechnical indicatorsChina marketsRisk management
SuperMind

The post describes a China-focused stock screen combining reported institutional buying, a recent increase in buying activity above five percent, market capitalization below 10 billion yuan, and a history without losses. It then presents a more restrictive…

China marketsEquitiesFactor investingRisk management
SuperMind

This Chinese-market screening rule selects stocks whose codes begin with 60, whose turnover rate falls within a specified band, and whose ten-day return is positive but below a stated ceiling. The post frames turnover as a liquidity filter and the return…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese-market stock screen combines price behavior and a control-related measure with valuation and profitability filters. Its initial criteria select stocks with amplitude above a threshold, today’s control measure above a threshold, and a positive…

China marketsEquitiesMomentumTechnical indicators
MQL5 code base

This document describes an MT5 utility for estimating the potential risk and reward of a planned trade. Inputs include entry, stop-loss and take-profit prices, lot size, and direction; the calculator estimates possible loss and profit, account risk…

Risk managementPosition sizingExecution
SuperMind

This A-share selection rule combines a relative strength index below 65 with an industry concentration measure above 70% or below 20%, plus a dividend payout ratio above 25% for 2019. The post frames the approach as combining a technical condition with a…

EquitiesChina marketsTechnical indicatorsFactor investing
NautilusTrader

This guide describes connecting to AX Exchange, a regulated venue for derivatives on traditional asset classes. It outlines perpetual and dated futures, including USD cash settlement, funding payments, contract sizing, margin, and how the adapter maps venue…

FuturesPerpetual futuresExecutionMarket microstructure
SuperMind

This document proposes a Chinese equity selection rule that filters for daily amplitude above 1 and a control-activity measure above 21, then ranks qualifying stocks by market heat. Its examples refer to a heat index and controlling-shareholder activity…

China marketsEquitiesSentimentTechnical indicators
SuperMind

This document describes a Chinese equity screen based on three daily conditions: amplitude above 1, a daily percentage change between -5% and -4%, and a closing price below 12 yuan. It presents the method as a way to identify stocks with notable price…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This screening rule selects stocks with a daily price range of at least 1%, circulating market value above 10 billion yuan, and turnover between 3% and 12%. The stated intent is to combine price activity and liquidity with company scale. The article includes…

EquitiesChina marketsTechnical indicatorsRisk management