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
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

16,761 documents

ProRealCode

The document explains the Volume Flow Indicator (VFI), a volume-based measure described as a modified form of On Balance Volume. It uses typical price rather than the close, applies a volatility threshold so small price changes do not count as directional…

Technical indicatorsMomentumStatisticsBacktesting
SuperMind

This Chinese-language post proposes screening stocks in the metaverse sector when KDJ has just crossed upward and a rounded chart pattern is present. It limits selection to before 10:00 on each trading day and says eligible stocks are intended for same-day…

EquitiesTechnical indicatorsMomentumBacktesting
BigQuant

This support exchange concerns a strategy that completes a backtest but errors during simulated trading, apparently when position information is unavailable. A reply says this kind of error commonly occurs when the code cannot retrieve the current holdings…

EquitiesExecutionBacktesting
ProRealCode

This document presents two long-only trading systems built around the idea that price moves may continue when short-term momentum and average range accelerate relative to longer-term measures, while price direction agrees with a rising short moving average.…

ForexMomentumVolatilityTrend following
MQL5 code base

This MQL5 utility evaluates how sensitive a trading strategy’s historical results are to assumed execution costs. It reads closing-deal records containing dates, profits, and optionally volumes, then recalculates net profit and profit factor at the chosen…

ExecutionBacktestingRisk managementStatistics
MQL5 code base

This document describes an Expert Advisor that uses changes in the ROC2_VG indicator’s cloud color to generate trade signals at bar close. It also offers an inversion setting that lets the system trade against the indicator’s implied trend. The strategy…

ForexTechnical indicatorsBacktesting
BigQuant

The article introduces a customizable stock-selection strategy built around five rules, primarily seeking stocks that have fallen sharply and then stabilized, with some rules intended to identify possible rallies. It contrasts rule-based coding, where…

EquitiesMean reversionTechnical indicatorsBacktesting
MQL5 code base

This document describes an Expert Advisor driven by the FineTuningMACandle indicator. A signal is generated when a bar closes and the candle direction changes while its color change is maintained. The system therefore depends on the indicator’s candle-state…

ForexTechnical indicatorsBacktesting
MQL5 code base

This Expert Advisor starts with a simple CCI rule: positive readings indicate buys and negative readings indicate sells. It adds three linear perceptrons—one for sell decisions, one for buy decisions, and one that combines their outputs—to override the base…

Technical indicatorsMachine learningBacktestingForex
BigQuant

The document asks how to tune two component parameters together, specifically start and end dates as a pair. It provides an example tuning function that returns a parameter grid, with a list of candidate values for a single estimator-count parameter, then…

BacktestingStatistics
ProRealCode

This GBP/JPY strategy enters in the direction of a Bollinger Band break. A long signal requires the candle’s open and close to be at or above the upper band, with the close above both a fast and a slow moving average. A short signal requires the open and…

ForexBreakoutTechnical indicatorsBacktesting
BigQuant

This document describes a daily Chinese equity screen that ranks stocks by free-float market capitalization, turnover rate, and closing price, combines the rankings into a composite score, then selects the lowest-ranked names. It filters out…

EquitiesFactor investingChina marketsBacktesting
BigQuant

This assignment describes building a stock strategy from four factors, including small market capitalization and turnover. The author used a provided template and AI assistance to implement a linear regression strategy, then packaged three models as options…

EquitiesFactor investingMachine learningBacktesting
SuperMind

This Chinese A-share screening method combines turnover, circulating market capitalization, rising moving averages, and price above several moving-average levels. Its stated final criteria cap turnover at 12%, restrict circulating market value to a specified…

EquitiesChina marketsTechnical indicatorsBacktesting
FMZ forum

This intermediate FMZ tutorial explains practical platform techniques for building automated trading strategies. It covers operating across exchanges and symbols, configuring futures and swap contracts, and handling API failures through retries, null checks,…

CryptoFuturesBacktestingExecution
MQL5 code base

This Expert Advisor uses a Bezier indicator’s color change at bar close to generate trade signals. It follows the indicated trend and increases position volume when open profit, measured in points, passes a threshold set in the EA inputs. A position comment…

ForexTrend followingPosition sizingBacktesting
BigQuant

This brief Chinese-language support exchange addresses a strategy configured for daily rebalancing that appears to trade only every seven days in backtesting and does not rebalance in simulation. The response points to a condition in the backtest module’s…

BacktestingExecution
BigQuant

This Chinese equity screening strategy ranks stocks using cross-sectional measures of circulating market capitalization, closing price, and earnings per share, then combines the ranked factors into a total score. Its stated filters exclude special-treatment…

EquitiesFactor investingBacktestingPosition sizing
ProRealCode

The strategy defines a recent price range from the highest high and lowest low over a lookback window. It places a buy stop above the range and a sell stop below it, with a configurable distance. When one order triggers, the other should be cancelled; after…

BreakoutForexBacktestingRisk management
MQL5 code base

This Expert Advisor combines two indicators to identify trend-following entries. ColorX2MA sets the slower trend direction, while ColorJFatl signals a possible entry when the faster trend changes. A trade signal occurs at bar close when the indicator…

Trend followingTechnical indicatorsBacktestingForex
BigQuant

The discussion addresses missing broad-market risk-control data in a rolling-training workflow. Its suggested remedy is to load benchmark index history directly in the backtest data-preparation function instead of relying on an external data merge. The…

EquitiesRisk managementBacktesting
BigQuant

This account describes a BigQuant assignment that applied linear regression and XGBoost within a rolling-training strategy, then compared their backtest returns. The author reports annual returns of 30% for linear regression and 52% for XGBoost, but provides…

Machine learningFactor investingBacktestingChina markets
BigQuant

The author discusses whether AI stock selection discovers repeatable market patterns or earns returns because its chosen style happens to suit current conditions. The reported live and backtest observations suggest that alpha varies with market regime:…

EquitiesMomentumMachine learningBacktesting
MQL5 code base

This expert advisor trades changes in the XWAMI indicator's trend cloud. It generates a signal when a bar closes and the cloud changes color, then adjusts position size according to recent outcomes in the same direction. The stated defaults examine the last…

ForexTechnical indicatorsPosition sizingBacktesting