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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

9,660 documents

MQL5 code base

The document explains an automatic take-profit and stop-loss feature that attaches predefined exit levels to each newly opened position. The trader can set thresholds using a fixed pip distance, a percentage of account balance, or technical price levels.…

Risk managementPosition sizingExecutionForex
FMZ forum

The post asks why a five-minute technical indicator in live trading appears to update three to four seconds after a period ends, even though historical testing updates it at the period boundary. The author reports connecting to OKEX futures from a rented…

FuturesTechnical indicatorsExecution
Stratmill research code

The tutorial describes a faster backtesting approach that precomputes fill conditions across intervals, reducing the need to replay every depth update or estimate queue position. It retains feed and order-entry latency but omits order-response latency.…

BacktestingExecutionMarket microstructureHigh-frequency trading
Amberdata research

The report explains how AAVE v2 liquidators repay part of an undercollateralized loan and receive collateral with a protocol bonus. It examines stablecoin debt backed by ETH from 2021 to 2023, relating liquidation activity to ETH price drops and volatility.…

CryptoDeFiOn-chain dataExecution
Hummingbot docs

This guide explains how to connect a Hummingbot client to a centralized exchange or a blockchain protocol. Users run the connect command with the connector name, then enter the requested credentials. Exchanges generally ask for API keys, while blockchain…

CryptoExecutionRisk management
MQL5 code base

The document describes an expert advisor that looks for price discrepancies among EURUSD, USDJPY, and EURJPY. It multiplies the ask prices of EURUSD and USDJPY to estimate an implied EURJPY price, then compares that estimate with the direct EURJPY price. A…

ForexArbitrageExecution
BigQuant

This article proposes six checks to run before deploying a strategy that has performed well in historical backtests. It recommends perturbing data with delays, missing observations, and outliers; scanning core parameters for broad regions of acceptable…

BacktestingRisk managementExecutionStatistics
Freqtrade

This Freqtrade strategy example applies an Almgren–Chriss style execution schedule to position entries and exits. It estimates a parameter called kappa from rolling price variability, candle range, and volume, using it to shape the fraction traded in each…

ExecutionMarket microstructureRisk managementTechnical indicators
BigQuant

This commentary describes six measures it says would reshape quantitative trading in China’s A-share market: adding network latency, sharing or relocating trading ports, capping order activity, requiring strategy registration and disclosure, imposing…

China marketsHigh-frequency tradingMarket microstructureExecution
Amberdata research

This podcast recap describes Loop Crypto’s approach to recurring cryptocurrency payments. Because ordinary crypto wallets send funds through user-initiated transactions, collecting subscriptions is less convenient than card-based payment collection. Loop’s…

CryptoExecutionMarket microstructureDeFi
MQL5 code base

This document explains how to extend a DSS Bressert semaphore indicator with sound alerts, email messages, and mobile push notifications for buy and sell signals. It describes configurable inputs for selecting the signal bar, enabling each notification…

Technical indicatorsExecution
MQL5 code base

This document describes an automated price action strategy that compares highs and lows across multiple chart timeframes, then looks for lower-timeframe candle closes that break relevant structure. It illustrates the approach with comparisons among hourly,…

ForexBreakoutTechnical indicatorsExecution
OctoBot

This guide explains what happens when an OctoBot cloud strategy is stopped and how to restart it. Stopping cancels the bot’s outstanding buy and sell orders and prevents it from placing new orders. If the corresponding option is selected, the bot also sells…

ExecutionCryptoRisk management
SuperMind

This proposed screen selects main-board stocks using an RSI ceiling, a positive daily gain, and a comparison involving the prior session's opening auction price. Eligible stocks are ranked by auction amount, with the highest-ranked names selected for a small…

EquitiesTechnical indicatorsMomentumExecution
NautilusTrader

The document explains an order-canceled event in an execution system: it records an order entering the terminal canceled state, updates the order and cache, and is published to the message bus. Cancellation events may originate from a venue, a simulated…

ExecutionMarket microstructure
Hummingbot docs

This documentation explains how to configure multiple bid and ask orders using an order-level count, an amount step, and a spread step. The level count sets the number of orders on each side. The amount parameter increases or decreases the size of each…

CryptoMarket makingExecutionMarket microstructure
MQL5 code base

This brief description outlines a trading utility for closing positions when a daily profit target or daily loss limit is reached. Its central accounting idea is to combine floating profit or loss on open orders with realized results from closed orders…

Risk managementExecution
Freqtrade docs

This reference explains how Freqtrade handles pair naming, fees, and strategy execution. Spot pairs use a base and quote currency, while futures pair names also identify the settlement currency. Profit calculations include fees: simulations use the…

BacktestingExecutionPerpetual futuresSpot markets
MQL5 code base

The document describes an order manager that waits until combined open profit reaches a chosen minimum, then closes the orders if profit retreats by a specified percentage from its peak. Its example uses a minimum profit of 1,000 and a 20% drawdown: a fall…

Risk managementPosition sizingExecution
SuperMind

A brief trading forum exchange asks how to place an order using the remaining available funds rather than a fixed amount, share count, or percentage of total assets. The reply points to the platform’s stock-account available-cash value as the basis for the…

EquitiesPosition sizingExecution
MQL5 code base

The document describes an expert advisor that manages one manually specified trade in a single symbol. When the main position enters a loss zone, it opens an opposing hedge intended to limit losses while allowing a wider stop on the main trade. It discusses…

Risk managementExecutionPosition sizing
SuperMind

The post asks how to reproduce a backtest setting from JoinQuant in another Chinese trading platform. The JoinQuant setting described allows limit orders to fill directly without checking the submitted price or quantity, which the author wants to use when…

EquitiesExecutionBacktesting
TqSdk

The document explains a terminal feature that replays an entire historical trading day. A user chooses a date when launching the replay version of the terminal, then uses the software and its extensions as though operating during that session. Playback can…

BacktestingExecution