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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
Lumibot strategies
7 documents
QuantRocket
7 documents
Awesome Quant
1 documents

Search the library

12,303 documents

MQL5 code base

The document introduces a Nadaraya–Watson kernel regression indicator that applies Gaussian weighting to historical prices. It describes how the method gives more influence to nearby price observations and uses the resulting smoothed estimate to form a…

Mean reversionTechnical indicatorsMachine learningStatistics
SuperMind

This stock screen combines three technical conditions: daily amplitude above a threshold, MACD above the zero line, and a positive weekly bar supported by rising moving-average alignment and price above a longer moving average. The document presents…

EquitiesTechnical indicatorsMomentumVolatility
MQL5 code base

The i-ParamonWorkTime indicator marks two user-configurable intraday intervals associated with high market volatility. Inputs include the number of historical days considered, start and end times for each interval, display colors, and a range option. The…

VolatilityTechnical indicatorsMarket microstructure
Amberdata research

This newsletter discusses crypto market behavior during a sharp tariff-driven selloff in equities. It compares volatility across equities, gold, and bitcoin, observing that bitcoin implied volatility had not risen as much as other measures at the time. The…

CryptoOptionsVolatilityMarket microstructure
SuperMind

This Chinese equity screening rule combines three conditions: daily amplitude above 1, tradable share count no greater than 5.5 billion, and a rising DEA line derived from MACD. The article explains the intended rationale: amplitude may identify stocks with…

EquitiesTechnical indicatorsVolatilityChina markets
MQL5 code base

The document presents DT-Pirson as a volatility indicator intended to distinguish stronger trends from flat market conditions. It says readings above 0.5 indicate an approximately strong trend, while values approaching zero correspond to a flat market. This…

VolatilityTechnical indicatorsTrend following
SuperMind

This stock-selection screen combines daily price amplitude above one percent with a 2021 date filter and three moving average crossovers. It defines the crossover conditions using five-, ten-, and twenty-day averages, requiring the shortest average to cross…

EquitiesTechnical indicatorsMomentumVolatility
Amberdata research

This weekly review combines macroeconomic context with observations on Bitcoin and Ether options markets around the March 2023 Federal Reserve decision. It discusses a flatter Bitcoin volatility term structure, the relative implied volatility of Ether and…

CryptoOptionsVolatilityDerivatives pricing
FMZ forum

The document presents a hand-written Average True Range calculation and asks for an equivalent implementation using pandas without a technical-analysis library. For the first record, true range is the high minus the low. For later records, it is the greatest…

Technical indicatorsVolatilityStatistics
MQL5 code base

The APR indicator displays the average price range for a selected period and timeframe. Users can define the range using either the high and low prices or the open and close prices. Results can be shown as absolute values or as relative percentages, giving…

Technical indicatorsVolatility
MQL5 code base

SnakeInBorders is a technical indicator that plots a filtered market channel between upper and lower borders, alongside a signal line. During an upward move, the signal travels from the lower side toward the upper border; during a downward move, it moves in…

Technical indicatorsTrend followingVolatility
MQL5 code base

This indicator description defines reversal-style signals around a price channel. A sell arrow follows a bullish candle that reaches above the upper band when the next candle closes bearish; a buy arrow follows a bearish candle that moves below the lower…

Technical indicatorsMean reversionVolatilityMarket microstructure
SuperMind

This post describes an A-share stock screen that combines daily price range, market capitalization, profitability, Bollinger-band position, and relative valuation. It filters for stocks with amplitude of at least one percent, positive market capitalization…

EquitiesChina marketsTechnical indicatorsVolatility
BigQuant

This research summary outlines a monthly tactical framework for rotating among Chinese A-share industries. It combines two approaches: time-series timing based on industry classification, business-cycle indicators, fundamental forecasts, valuation…

EquitiesChina marketsMomentumVolatility
SuperMind

This Chinese-language post describes a short-term A-share screening rule that combines price movement, a stochastic indicator, and a rising-high condition. It selects stocks with amplitude above 1, KDJ below 20, and a ten-period high greater than the prior…

EquitiesTechnical indicatorsVolatility
MQL5 code base

Trend Vision is described as a custom MT4 indicator that combines MACD with Bollinger Band calculations. MACD is used to represent momentum shifts and trend strength, while the bands use a moving average and standard deviation to describe volatility. The…

Technical indicatorsMomentumVolatility
Amberdata research

This retrospective describes Ethereum’s transition from proof-of-work to proof-of-stake and reviews network operation, price, transaction activity, and gas fees in the following weeks. It reports that the network experienced no outage during the transition.…

CryptoDeFiVolatilityMarket microstructure
BigQuant

The Traders Dynamic Index combines a smoothed RSI line, a signal line, a market base line, and volatility bands. Its configurable settings include RSI and smoothing periods, applied price, band period, overbought and oversold thresholds, and display toggles.…

Technical indicatorsMomentumVolatility
SuperMind

This short-term equity screen looks for stocks with daily amplitude above 1%, an upward-sloping moving-average condition, and a price reversal pattern. The stated selection rules include a move above the three-day moving average and recent closes above an…

EquitiesChina marketsTechnical indicatorsMean reversion
SuperMind

This stock-selection rule screens for shares with price amplitude above 1%, codes beginning with 60, and a MACD value below zero two sessions earlier. The article explains the amplitude condition as a way to seek volatile stocks and uses MACD as a lagging…

EquitiesChina marketsTechnical indicatorsVolatility
Amberdata research

This weekly recap describes changes in Bitcoin and Ether derivatives markets during a period of pressure following SEC actions against Binance and Coinbase. It tracks realized volatility, options term structure, skew, trading flows, and dealer gamma…

CryptoOptionsVolatilityDerivatives pricing
SuperMind

This post proposes selecting stocks whose price amplitude exceeds one percent and that appeared on the previous day’s trading leaderboard, then ranking candidates by individual stock popularity. It treats large recent movement as evidence of short-term…

EquitiesMomentumVolatilityChina markets
SuperMind

The document describes a Chinese stock selection rule combining an amplitude threshold, a prior-day signal tied to the 9:15 matching price and limit-down conditions, and a specified closing price. It suggests sorting qualifying stocks by popularity and…

EquitiesVolatilityTechnical indicatorsChina markets