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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
QuantRocket
7 documents
Lumibot strategies
7 documents
Awesome Quant
1 documents

Search the library

3,012 documents

MQL5 articles

This introduction explains category theory through domains, elements, and morphisms, then sketches how those ideas might help describe relationships among trading strategies, instruments, and market conditions. It presents MQL5 classes for representing…

StatisticsMulti-asset
MQL5 articles

This installment in a market replay and simulation series explains how a position-view indicator tracks an open position and communicates with other components through chart events. It updates the opening, stop-loss, and take-profit lines, displays the…

ExecutionBacktestingRisk management
MQL5 articles

The article describes how to represent an aggregate position formed from multiple orders in MetaTrader 5's hedging account mode. It classifies positions as buy-only, sell-only, net-buy, net-sell, or locked, with mixed positions distinguished by comparing…

ForexRisk managementExecution
MQL5 articles

The article translates four bet-sizing approaches from a Python module into an MQL5 system: probability-based sizing, sizing from forecast-price divergence, budget-constrained sizing, and reserve sizing learned from data. It outlines a layered design with…

Position sizingMachine learningStatisticsRisk management
MQL5 articles

The article compares two forecasting targets for a Bollinger Bands trading approach: whether price will rise or fall over a future horizon, and which of four zones around the bands price will occupy. It describes labeling historical GBPUSD daily data,…

ForexTechnical indicatorsMachine learningBacktesting
MQL5 articles

This article explains how to make changes to a SplitContainer control’s properties appear immediately in a custom MQL5 interface library. Its central method is to redraw the control after property updates and to respect each element’s display state…

Execution
MQL5 articles

The article presents a way to organize an MQL5 Expert Advisor around distinct operating modes that support different stages of development. It identifies release, debugging, profiling, testing, optimization, visual testing, and frame-gathering modes, and…

BacktestingStatisticsExecution
MQL5 articles

This installment describes building a MetaTrader indicator that displays an open position directly on a chart using horizontal lines for the entry price, stop-loss, and take-profit. The approach reuses the replay system’s existing graphics code and adds…

ExecutionRisk management
MQL5 articles

The article turns a classical two-candle engulfing pattern into a MetaTrader 5 trading rule. It defines bullish and bearish engulfing conditions using the current and previous daily candles, checks for a new day and the absence of open positions, and uses…

Technical indicatorsBreakoutRisk management
MQL5 articles

This article prepares a feature correlation matrix for clustering, a prerequisite for the clustered feature-importance analysis planned in the next part of its series. It separates two problems: finite-sample estimation noise, which spreads eigenvalues even…

Machine learningStatisticsMarket microstructure
MQL5 articles

The article introduces self-organizing maps (SOMs), an unsupervised neural-network method that arranges high-dimensional input vectors on a two-dimensional grid. Each node has a weight vector; training repeatedly finds the best-matching node for a sample and…

Machine learningStatistics
MQL5 articles

The article presents bacterial chemotaxis optimization as a population based method for searching an objective function. Candidate solutions are modeled as bacteria moving through a bounded search space along straight trajectories, with random turns and…

Machine learningStatisticsBacktesting
MQL5 articles

AutoGraf is a MetaTrader 4 application that uses chart objects and a control panel to manage orders graphically. Traders can create market and pending orders by dragging lines, and set or change stop loss and take profit levels through corresponding chart…

ExecutionRisk managementForex
MQL5 articles

This introductory guide explains how MQL5 developers can identify compilation errors, warnings, runtime problems, and trade server errors. It illustrates common syntax and scope mistakes, such as missing punctuation or brackets, undeclared variables, and…

BacktestingExecutionTechnical indicators
MQL5 articles

The article compares Kelly sizing with a confidence based signal method, then proposes combining them in two stages: the signal method accounts for estimated confidence and overlapping positions, while a Kelly multiplier adjusts for asymmetric win and loss…

Position sizingRisk managementBacktestingMachine learning
MQL5 articles

The article presents a framework for a MetaTrader 5 Expert Advisor that processes multiple currency symbols while maintaining separate settings for each. It compares three ways to schedule checks: timer events, ticks on the chart symbol, and chart events…

ForexMulti-assetBacktestingExecution
MQL5 articles

The article adapts the Atom-Motif Contrastive Transformer, originally developed for molecular data, to trading inputs. It treats individual candles as low-level elements and recurring candle formations as motifs, encoding each sequence through a separate…

Machine learningStatistics
MQL5 articles

This installment describes an MQL5 chart dashboard for calculating and displaying statistical reference levels from a selected price range. The proposed measures include the mean, standard deviation bands, median, percentiles, and two estimates of the mode.…

StatisticsTechnical indicatorsBreakoutMean reversion
MQL5 articles

This article explains trend scanning as an alternative to assigning every market observation a fixed prediction horizon. For each starting point, it fits linear trends over a range of forward windows, calculates a t statistic for each, and selects the window…

Machine learningStatisticsBacktestingForex
MQL5 articles

The article presents a proposed three part model of past, current, and future transient functions, labeled P, C, and F. It says the functions are derived from modifications of the Gamma distribution and satisfy a normalization relationship in which their sum…

ForexTechnical indicatorsStatisticsRisk management
MQL5 articles

This article describes a price action Expert Advisor that identifies swing highs and lows, labels successive swings as higher highs, lower highs, higher lows, or lower lows, and uses those sequences to infer trend direction. A bullish Change of Character…

ForexBreakoutTrend followingRisk management
MQL5 articles

The article introduces machine learning for price prediction, then outlines a workflow using MetaTrader 5 hourly EUR/USD data, Pandas, scikit-learn, and neural networks. It explains basic decision trees and the GRU architecture, comparing its reset and…

ForexMachine learningBacktesting
MQL5 articles

The article proposes using neural networks to filter signals from an adaptive version of Thomas DeMark's Sequential strategy. It focuses on Setup and Intersection signals near potential turning points, treating the network as a decision aid rather than a…

Machine learningTechnical indicatorsForexStatistics
MQL5 articles

The article reviews Bollinger Bands as a volatility measure and describes their middle moving-average line and standard-deviation envelopes. It discusses common interpretations including mean reversion after an outer-band touch, trend persistence near a…

Technical indicatorsVolatilityMean reversionBreakout