Skip to content

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

OctoBot

This guide explains grid trading as a method of placing buy and sell orders at preset price intervals. As price moves through the levels, the orders aim to capture the difference between purchases and sales without requiring a forecast of the overall…

Grid tradingVolatilityRisk managementExecution
Kraken Learn

A stop-limit order combines a trigger price with a limit price. When the market reaches the stop, the exchange places a limit order at the specified price, allowing the trader to define when an order activates and the least favorable price they will accept.…

CryptoExecutionRisk managementBreakout
vn.py community

The post explains how a vn.py strategy can retrieve account positions and active orders through the main engine. It identifies the returned objects as position and order records, with fields such as instrument, direction, quantity, average price, profit and…

ExecutionRisk managementFutures
SuperMind

This stock screen selects shares with a turnover ratio between 3% and 12%, a previous-day Dragon-Tiger List appearance, and previous-day trading value above 60 million yuan. The article presents these conditions as a way to find actively traded stocks that…

EquitiesChina marketsTechnical indicatorsRisk management
SuperMind

This post proposes a short-term stock screen combining volatility, share float, and the opening price's proximity to a 10-day moving average. It selects stocks with amplitude above 1, a circulating share count no greater than 5.5 billion, and an opening…

EquitiesTechnical indicatorsVolatilityRisk management
SuperMind

This post describes a stock selection screen using four conditions: amplitude above 1, current trading volume above 10,000 lots, a higher opening price, and company size above 200 million. The rationale combines price movement and trading activity with a…

EquitiesTechnical indicatorsStatisticsRisk management
SuperMind

This post presents a Chinese equity screening rule based on price range, listing history, and a measure labeled the ratio of external to internal trading volume. It selects stocks with amplitude above 1, more than one year since listing, and an…

EquitiesTechnical indicatorsMarket microstructureRisk management
MQL5 code base

This document outlines an Expert Advisor that trades from signals produced by the Arrows_Curves indicator. It evaluates signals when a bar closes: a newly appearing colored point or a cross can trigger action, with points used for both opening and closing…

ForexTechnical indicatorsBacktestingRisk management
MQL5 code base

This document describes a trading script that sets stop-loss and take-profit levels for open positions using a chosen risk–reward ratio. The trader specifies a stop distance in pips, and the script calculates a corresponding take-profit distance. It can…

ForexRisk managementPosition sizing
Cryptohopper blog

The article explains a trailing-stop approach for managing crypto positions during a rising altcoin market. A trader first enters manually or through a signal, then sets a profit threshold that activates a stop. As the price rises, the stop follows the…

CryptoTrend followingRisk managementExecution
MQL5 code base

HLCrossSigForRSI is presented as a trend-following indicator that aims to make trade decisions more systematic. It combines a breakthrough range with Heiken Ashi and RSI filters, and uses ATR and nearby highs or lows in calculating volatility and entry…

Technical indicatorsTrend followingBreakoutRisk management
MQL5 code base

The document describes a MetaTrader script that checks tick-history availability month by month before a backtest. It classifies each month as having real ticks, partial tick coverage, bars without ticks, or no stored data. The distinction matters because a…

BacktestingMarket microstructureRisk management
MQL5 code base

The document explains a simple automated strategy that opens a position only when none are active, then chooses buy or sell through a pseudo-random even-or-odd result. It describes how the order uses configured trade size, slippage, stop-loss, and…

StatisticsRisk managementExecution
SuperMind

The proposed stock screen looks for turnover between 3% and 12%, a circulating share count at or below 5.5 billion, and a daily maximum decline between 4% and 5%. The article frames the combination as a way to avoid very inactive stocks, limit exposure to…

EquitiesChina marketsMean reversionTechnical indicators
SuperMind

This stock selection idea combines three screens: membership in the metaverse industry, a positive institutional activity reading, and a 10-day return above zero but no higher than 35%. The rationale is to focus on a growth-oriented theme and stocks with…

EquitiesChina marketsMomentumTechnical indicators
MQL5 code base

This short description introduces Average of ATR, a custom MetaTrader 4 indicator that compares the Average True Range with its own average. ATR is presented as a measure of market volatility over a selected period, and the comparison is suggested as a way…

Technical indicatorsVolatilityRisk management
BigQuant

This research summary explains how turnover controls affect portfolio construction and factor evaluation. Portfolio weights change as risk estimates and expected returns change, while portfolio constraints and relative stock performance can impose a minimum…

EquitiesPortfolio constructionFactor investingExecution
FMZ live strategies

This live robot page describes an aggressive martingale approach on OKX USDT futures. It shows both long and short positions across many contracts, adding to positions in layers as prices move against them. The displayed settings specify an initial order…

CryptoFuturesPerpetual futuresGrid trading
Freqtrade

This five-minute long-only strategy combines exponential moving average crossovers with Heikin-Ashi candle direction. It enters when the 20-period EMA crosses above the 50-period EMA, the Heikin-Ashi close is above the 20-period EMA, and the Heikin-Ashi…

Technical indicatorsTrend followingRisk management
BigQuant

This overview characterizes quantitative futures trading through four themes: execution speed, short holding periods, flexible intraday exposure, and trading both long and short. It emphasizes that activity may cluster around the open and close, when…

FuturesHigh-frequency tradingExecutionRisk management
BigQuant

This A-share strategy combines industry rotation with stock selection inside the chosen industries. It builds a regime measure from changes in industry return rankings: when that measure falls, it selects industries by longer-term momentum; when it rises, it…

China marketsEquitiesMomentumMean reversion
BigQuant

This brief forum exchange addresses a discrepancy between the displayed profit or loss for a simulated stock trade and the trader's expectation that both entry and exit fees should be included. The example concerns a purchase and later automatic sale,…

EquitiesBacktestingRisk management
Binance API docs

This glossary explains spot pegged orders, which derive a limit price from the order book instead of requiring a fixed price. A primary peg references the best price on the same side of the book; a market peg references the best price on the opposite side.…

Spot marketsExecutionMarket microstructureRisk management
BigQuant

This article classifies volume and price behavior into twelve patterns across rising, falling, and sideways markets. It frames volume as trading activity and price movement as the outcome, emphasizing their relative efficiency: if similar volume produces…

EquitiesTechnical indicatorsMomentumRisk management