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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

79,386 documents

Jesse

This stock-screening article starts with three filters: RSI below 65, exposure to the beverage and alcohol import-export industry, and a closing price above the previous day’s low. It then proposes a stricter version using a close above the 60-day moving…

EquitiesTechnical indicatorsMomentumRisk management
SuperMind

This document reports a backtest of a long-only strategy labeled TV_RSI on hourly BTC-USDT candles from Binance. It covers 493 days, from January 1, 2020, through May 8, 2021. The report lists 94 closed trades, a 179.25% total net profit, a 27.04% maximum…

CryptoSpot marketsTechnical indicatorsBacktesting
ProRealCode

This indicator recreates an Ichimoku-like display using moving averages. It assigns three average periods, described as Fibonacci-based, to replace the original components: a fast average, a slower average, and a third average used for the cloud. The…

Technical indicatorsTrend following
BigQuant

This article explains why selecting useful input features matters in predictive modeling. Irrelevant variables can add training time, contribute to overfitting, and make it harder for a model to generalize. Feature selection is presented as a way to reduce…

Machine learningStatistics
MQL5 code base

This indicator classifies candles by dividing the distance between each bar’s high and low into three equal sections. It then compares where the open and close fall within those sections to determine a bullish or bearish pattern. The resulting display is…

Technical indicatorsStatistics
Amberdata research

This weekly market review describes how a rally in Bitcoin and Ether affected realized and implied volatility, option skew, term structure, trading flows, and dealer gamma. It reports that volatility rose with spot prices, call premiums deepened—especially…

CryptoOptionsVolatilityDerivatives pricing
BigQuant

This forum post responds to a question about selling after a 10% gain or cutting a position after a 10% loss. The included example checks open equity positions against current prices, retrieves the highest price since purchase, and exits when price falls 7%…

EquitiesRisk managementExecution
SuperMind

This article translates Steve Leuthold’s value-investing approach into a monthly stock-selection method for Chinese equities. It ranks candidates using low price-to-book, price-to-earnings, and price-to-cash-flow ratios relative to market averages, alongside…

EquitiesFactor investingBacktestingRisk management
SuperMind

This post presents a short-term equity selection screen using three signals: more than two limit-up sessions in the prior ten days, RSI below 65, and ranking by capital-flow strength. It interprets the RSI threshold as leaving room for further gains, capital…

EquitiesMomentumTechnical indicatorsMarket microstructure
SuperMind

This Chinese-language post describes an equity screen combining daily price range, five years of return on equity above 15%, and a daily price change between −5% and 2.6%. It also proposes adding a price-to-book ratio no higher than five and revenue growth…

EquitiesFactor investingTechnical indicatorsChina markets
SuperMind

This document proposes screening stocks in the metaverse sector for a recent limit-up event and greater volume on the best bid than on the best ask. It specifies selecting during the morning, before 10:00, for same-day trading. The post includes example…

EquitiesChina marketsTechnical indicatorsMarket microstructure
BigQuant

This article describes a daily process for building a watchlist of strong stocks. After the close, rank shares by traded value and keep the top 30. From that group, look for stocks rising more than 3% on increased volume, giving extra attention to volume…

EquitiesMomentumBreakoutTechnical indicators
SuperMind

This document proposes a Chinese A-share selection screen combining a relative strength index below 65 with a ratio of external to internal trades above 1.3. It also filters for a product of the prior day’s turnover rate and the ratio of current auction…

EquitiesTechnical indicatorsChina marketsMarket microstructure
MQL5 code base

This trading expert advisor opens and closes positions at user-specified times, with the time inputs interpreted to the minute. Before opening a position, it applies a directional moving-average condition: a buy requires the fast average on the first bar to…

Technical indicatorsExecutionRisk management
SuperMind

The strategy rotates among China’s four largest banks using each stock’s current price relative to the previous close. When flat, it buys the bank with the weakest ratio if the spread between the strongest and weakest ratios exceeds a preset threshold. When…

EquitiesMean reversionPairs tradingExecution
SuperMind

This A-share selection method requires MACD to be above its zero line, parent-company net profit growth to be greater than 20% and no more than 100%, and more than two limit-up days within the past ten days. The examples show a possible weekly screening…

EquitiesMomentumTechnical indicatorsChina markets
SuperMind

This document describes an A-share stock screen combining turnover of 3%–12%, a daily gain above 1%, main-board listing, and a top-50% return rank for 2021. It explains the turnover band as a way to focus on active stocks while avoiding extreme activity, and…

EquitiesMomentumTechnical indicatorsChina markets
Hummingbot docs

In this interview, market maker Harry Yeh discusses applying electronic trading and Hummingbot to cryptocurrency market making. He stresses that operators need to understand limit orders, bid-ask spreads, order levels, parameters, and cancellations before…

CryptoMarket makingHigh-frequency tradingVolatility
MQL5 code base

This document describes a historical analysis script intended to help day traders identify the times and days when a strategy performs best. It focuses on win-loss ratio and reward-risk ratio as measures for comparing strategy outcomes across trading…

StatisticsBacktestingRisk management
MQL5 code base

This Expert Advisor trades changes in the direction of the FineTuningMA moving average. It forms a signal when a bar closes and the indicator direction has changed, making the strategy dependent on the indicator and bar-close timing. The EA requires a…

ForexTechnical indicatorsBacktesting
MQL5 code base

DayRVI is an intraday Relative Vigor Index indicator whose lookback period is set automatically from the number of bars in the current day. It is intended for chart timeframes from one minute to one day, with the recommendation to use it as an input to…

Technical indicators
BigQuant

This Chinese-language article introduces a workflow for building custom stock-selection strategies on the older BigQuant platform. It contrasts platform-generated AI strategies, which learn from selected factors but may be difficult to interpret or tune,…

EquitiesFactor investingBacktestingMachine learning
Kraken Learn

The document defines a stablecoin depeg as a departure from the value the token is intended to track. It uses a dollar-pegged token falling below its target as an illustration. It notes that small deviations can occur when liquidity is insufficient, while…

CryptoRisk managementSpot markets
Hyperliquid docs

The document explains how delisting works for validator-operated perpetual contracts. Validators vote on whether an asset should be removed; if they approve delisting, the contract settles at the one-hour time-weighted spot oracle price from before the…

CryptoPerpetual futuresDerivatives pricingExecution