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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

29,558 documents

SuperMind

This Chinese stock screening idea selects companies in the metaverse sector with a volume ratio between 1.5 and 6 and a prior-day appearance on the Dragon and Tiger List. The article frames these filters as a way to find active stocks attracting attention.…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This FAQ explains how an exchange prevents a user’s orders, or orders from accounts sharing a trade group, from matching against each other. It describes the available outcomes: allow the match, expire the taker or maker order, expire both, decrement both…

ExecutionMarket microstructureRisk management
Hummingbot docs

This document explains a Time-Weighted Average Price executor in the Hummingbot framework. The executor divides a larger trade into smaller orders scheduled at regular intervals over a defined duration, with the aim of limiting market impact. Configuration…

ExecutionMarket microstructureRisk management
SuperMind

This stock-selection rule looks for shares with daily amplitude above 1%, an opening price within 2% of the 10-day moving average, and no prior-day limit-up. The article frames volatility as a source of potential short-term opportunity, the opening-price…

EquitiesVolatilityTechnical indicatorsRisk management
MQL5 code base

This brief describes a trading utility that changes the take-profit and stop-loss settings on all open orders using an input percentage. It is an order-management procedure rather than an entry or exit strategy: the user supplies the percentage and the…

Risk managementExecutionPosition sizing
SuperMind

This note describes an equity selection rule using three conditions: a 14-period RSI below 65, bid-side volume greater than ask-side volume, and the 20-day moving average above the 120-day moving average. The RSI threshold is presented as a way to avoid an…

EquitiesTechnical indicatorsMomentumMarket microstructure
Amberdata research

This excerpt organizes the 2025 crypto market into six regimes, grouped into early-year optimism, a mid-year build, and a late-year crisis and aftermath. It proposes identifying regimes through their triggers and through changes in flows, open interest,…

CryptoPerpetual futuresVolatilityRisk management
SuperMind

This Chinese equity screening proposal combines a daily price range threshold, a morning star pattern, and an ownership concentration filter. It presents the setup as a short-term technical screen intended to find stocks with potential entry opportunities…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

The post proposes a stock screen combining price action and auction-period order flow: select shares with amplitude above one, three consecutive limit-up sessions as of the prior day, and positive net buying attributed to major traders during the opening…

China marketsEquitiesMomentumTechnical indicators
MQL5 code base

WATR_HTF_Signal displays the direction of a WATR indicator calculated on a chosen higher timeframe. A right-pointing arrow marks continuation of the existing trend at the selected bar; a diagonal arrow marks a change and indicates the direction of the trade…

Technical indicatorsTrend followingRisk management
SuperMind

This stock screen targets companies in the metaverse industry that recorded a limit-up day within the previous 25 days and have weekly MACD above zero. The stated rationale is to combine recent market attention and possible short-term strength with an…

China marketsEquitiesTechnical indicatorsMomentum
ProRealCode

The document shares a compact price-following stop formula built from recent highs, average true range, and a rolling low. It first offsets the highest high over a short lookback by one third of the 20-period ATR, then takes the lowest value of that adjusted…

Technical indicatorsVolatilityRisk management
BigQuant

This brief educational note defines quantitative investing as expressing an investment strategy in code so that a computer can carry out trading in place of manual execution. It identifies reduced emotional interference as one potential benefit of rule-based…

Machine learningRisk managementFactor investing
MQL5 code base

The modified Advance–Decline Line (MADL) is presented as a trend-strength indicator that uses price movement within each bar and tick volume, adjusted by a moving average of volume over a configurable period. Its value accumulates from the previous reading,…

Technical indicatorsTrend followingRisk management
MQL5 code base

This brief description concerns an EUR/USD moving-average trading program. Its stated operational principle is trading with a moving average, with an account-funds check before each order. The check is intended to prevent an order from failing because the…

ForexTechnical indicatorsRisk managementExecution
BigQuant

This article argues for entering strong, rising stocks instead of trying to buy after declines. Its proposed triggers are a break above a consolidation range or a shift from a gradual rise into faster gains, marked by the first large-volume bullish candle.…

EquitiesMomentumBreakoutRisk management
MQL5 code base

The document describes a MetaTrader news detector that retrieves economic news and displays upcoming events. Users can filter the feed by event importance, currency, and keywords, while an automatic GMT offset check helps align event times. A dashboard and…

Event-drivenForexRisk management
SuperMind

This Chinese-language article presents an A-share stock screen combining an RSI reading below 65, seven consecutive sessions in which the close is below the open, and a closing-price condition involving the previous day's low. It also discusses adding…

China marketsEquitiesTechnical indicatorsRisk management
SuperMind

This guide explains how to configure and operate a live trading node, including its core settings, client registration, cache and message bus backings, strategy configuration, and shutdown behavior. It emphasizes running live nodes as standalone scripts or…

ExecutionMarket microstructureRisk management
SuperMind

The document describes a stock screen combining three conditions: daily high-low range above one percent of the previous close, a trading date in 2021, and a MACD value below zero from two trading days earlier. It gives corresponding formula and Python…

EquitiesTechnical indicatorsVolatilityRisk management
Freqtrade

This Freqtrade example is an operational strategy for winding down open positions after stopping new buys. It defines no entry or exit signals; instead, a minimal return-on-investment schedule closes trades that reach a small initial profit threshold, then…

Risk managementExecutionPosition sizing
SuperMind

This Chinese equity screening rule combines a daily price-range threshold, a market-cap ceiling, positive quarterly earnings, and a KDJ bullish crossover. The crossover is described as J moving above K, alongside recent indicator comparisons; the example…

EquitiesTechnical indicatorsRisk managementChina markets