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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
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

This brief BigQuant forum exchange addresses a report that a configured holding period of ten days did not trigger a sale. The response points to the strategy’s complexity, which includes both profit-taking and stop-loss logic, as a possible obstacle to…

ExecutionRisk management
SuperMind

The document outlines an equity screening rule that looks for stocks with amplitude above one, rising bottoms, and a high equal to the highest level across two days. It adds a trend filter requiring the close to remain above its 60-day simple moving average,…

EquitiesTechnical indicatorsMomentumRisk management
MQL5 code base

The document describes an automated strategy built around a head and shoulders pattern. It defines confirmation as a decline from the third peak below the lowest intervening valley. The EA draws trend lines using fractals and combines the pattern with two…

ForexEquitiesTechnical indicatorsRisk management
SuperMind

This study presents StockRanker, a supervised learning-to-rank method for selecting Chinese A-shares. It uses gradient-boosted trees to rank the market by expected future return. The input features are derived from seven basic price and volume series using…

China marketsEquitiesMachine learningFactor investing
MQL5 code base

This Expert Advisor uses four user-positioned chart lines to trigger buy, sell, and close actions. A trade action occurs when the quoted market crosses the corresponding line, with the description specifying the ask moving above it while the bid is below.…

ExecutionTechnical indicatorsPosition sizingRisk management
NautilusTrader

This example demonstrates an execution test that streams public Binance spot market data into a local sandbox matching engine. The built-in strategy opens a position with an immediate-or-cancel order, maintains post-only buy and sell limit quotes, then…

ExecutionMarket microstructureSpot marketsRisk management
SuperMind

This document outlines a short-term A-share screen for companies classified in the metaverse theme. It selects stocks that appeared on the prior day’s trading leaderboard, have current trading volume above the stated threshold, and open above the previous…

EquitiesMomentumBreakoutChina markets
SuperMind

This document describes a Chinese A-share screening idea based on stocks with a daily price range above a stated threshold, more than one year since listing, and three consecutive limit-up sessions ending the previous day. It presents the run of limit-ups as…

EquitiesMomentumChina marketsTechnical indicators
MQL5 code base

FitFul 13 is described as an expert advisor that calculates its main levels on the weekly timeframe, with level settings specified using two additional timeframe inputs. It limits the number of simultaneously open positions to three. The advisor obtains…

ForexTechnical indicatorsExecutionRisk management
Lumibot

This documentation explains how Lumibot represents cash flows separately from trading activity in strategy backtests and live broker data. It distinguishes deposits and withdrawals from performance while accounting for financing, dividends, fees, interest,…

BacktestingRisk managementPortfolio constructionExecution
Amberdata research

The document explains how crypto data aggregators combine information from centralized and decentralized exchanges into normalized time series. It frames fragmentation across venues, trading pairs, and blockchains as an infrastructure problem for…

CryptoArbitrageBacktestingRisk management
SuperMind

This proposed A-share screen combines price amplitude above 1, a dividend payout ratio above 25% for 2019, and membership in a short-term “reverse package” theme, a term the article does not define. The accompanying discussion frames these conditions as a…

EquitiesChina marketsVolatilitySentiment
SuperMind

This post describes a Chinese stock selection screen combining price amplitude, a measure labeled today’s control, and a recent large daily gain. Its written logic adds a free-float market capitalization floor. The article also provides example formulas for…

EquitiesChina marketsTechnical indicatorsRisk management
MQL5 code base

This short description covers an expert advisor that tracks how long market orders have existed and generates an alert once for each order. It can retain its state across a terminal restart, write messages to a log, and use a configurable sound file stored…

ExecutionRisk managementMarket microstructure
SuperMind

This Chinese stock selection proposal combines turnover between 3% and 12%, an opening price near the 10-day moving average, and a prior-day signal described as main-force control. The formula reference adds conditions requiring the close to exceed both the…

China marketsEquitiesMomentumTechnical indicators
SuperMind

This Chinese-language post proposes a stock screen combining three signals: today’s increase in holdings above five percent, an institutional buying indication, and shortening green MACD bars on a 15-minute chart. It interprets the first two as evidence of…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

This note presents a Chinese equity screen combining turnover between 3% and 12%, market capitalization below 10 billion yuan, positive profitability, and a closing price above the previous day’s low. It includes example formula and Python references for…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This note describes an A-share stock screen combining three conditions: membership in the metaverse industry, a positive return based on the latest close versus the prior close, and circulating market capitalization below 10 billion yuan. It also gives…

EquitiesChina marketsMomentumRisk management
SuperMind

This note proposes screening metaverse-related stocks for elevated recent turnover and a low KDJ reading, then adds valuation and leverage constraints. Its final selection logic combines sector membership, a turnover condition, KDJ below a threshold,…

EquitiesTechnical indicatorsMomentumRisk management
MQL5 code base

This document describes an automated trading system that seeks trades when price diverges from either the Relative Strength Index or Commodity Channel Index. It lists configurable indicator thresholds and a bar-count setting for waiting for a divergence,…

ForexEquitiesMean reversionTechnical indicators
MQL5 code base

This brief description explains a simple position-sizing calculator for MetaTrader 5. The user supplies a desired risk as a percentage and a stop distance in pips, and the indicator returns a lot size intended to fit those inputs. The document therefore…

ForexRisk managementPosition sizing
BigQuant

The document answers how to identify when a strategy’s maximum drawdown occurred in a backtest. It recommends adding a strategy risk overview module after the backtest module, which reports the drawdown and its associated date. The example reports a maximum…

BacktestingRisk management
FMZ forum

This article presents five ways to manage exits from stock positions: set an initial price threshold before entry; raise the stop to break-even after a favorable move; trail it as the price advances; exit when price breaks a trend line or moving average; and…

EquitiesRisk managementTechnical indicators