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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

12,303 documents

pyfolio

The document explains a MetaTrader 5 indicator that marks hammer, inverted hammer, and color variants on price charts. It identifies patterns by measuring candle bodies and wick proportions, then places a colored arrow near the candle’s high or low to flag a…

Technical indicatorsVolatility
MQL5 code base

This note describes a higher-timeframe variant of the XWPR_Histogram_Vol indicator. A timeframe input lets the user select the chart period used by the indicator; the example sets that input to a four-hour period by default. The document also states that the…

Technical indicatorsVolatility
SuperMind

This post describes a simple equity screen combining three conditions: a large daily trading range, moderate realized turnover on the prior day, and a current low below the previous session’s low. The proposed interpretation is that it identifies actively…

EquitiesTechnical indicatorsVolatilityChina markets
SuperMind

This article outlines a Chinese stock screen requiring price amplitude above 1%, excluding Beijing-listed shares, and selecting stocks whose KDJ indicator has just formed a golden cross. It presents the combination as a way to focus on more volatile stocks…

EquitiesChina marketsTechnical indicatorsMomentum
SuperMind

The document outlines a Chinese A-share screen that starts with stocks showing an amplitude above 1, excludes Beijing-listed shares, and ranks the remaining names by individual stock heat. It then proposes a more involved version using amplitude above 2%,…

EquitiesChina marketsVolatilityTechnical indicators
MQL5 code base

Projection Bands are presented as a way to estimate upper and lower boundaries of a price range, alongside tools such as channels, envelopes, and Bollinger Bands. The indicator has a configurable lookback period. Its upper boundary uses the maximum high…

Technical indicatorsVolatilityMean reversion
SuperMind

The article describes a stock screen that excludes Beijing-listed shares, selects stocks with a daily high-low range above one percent, and applies a filter based on the prior day's turnover and the ratio of current opening-auction volume to the previous…

EquitiesChina marketsVolatilityTechnical indicators
BigQuant

This article describes a stock-selection screen based on three conditions: a daily high-low range above a stated threshold, an opening price near the ten-day moving average, and at least five years since listing. The intended interpretation is that elevated…

China marketsEquitiesTechnical indicatorsVolatility
SuperMind

The proposed stock screen filters for amplitude above 1 and a closing price below 20, then ranks candidates by today's auction amount and selects the top five. The article also gives example indicator and Python logic, including a comparison of current and…

EquitiesTechnical indicatorsChina marketsVolatility
MQL5 code base

This document describes the implementation of a Non-Lag moving average indicator with ATR bands and an interactive chart panel. The panel can toggle the trend display, be moved, show selected internal values, and report indicator values for a bar chosen on…

Technical indicatorsVolatilityTrend following
Amberdata research

This market snapshot discusses three digital-asset themes: institutional Bitcoin adoption, prospective uses for autonomous AI systems in decentralized finance, and tokenization of real-world assets. Its Bitcoin analysis describes a sharp rise above $100,000…

CryptoOn-chain dataSentimentDeFi
SuperMind

The document describes a Chinese equity screen combining a daily price range above 1%, a condition that the prior session was not limit-up, and a recent three-session rise. It presents the screen as a way to find volatile stocks with positive price momentum…

EquitiesMomentumVolatilityChina markets
ProRealCode

The indicator combines a long-term channel with three shorter moving averages to identify trend direction, pullbacks, and potential continuation entries. It calculates an 89-period average and a channel whose width is based on an 89-period average of true…

Technical indicatorsTrend followingBreakoutVolatility
ProRealCode

The Expanded Cloud is a trend indicator built around a rolling highest-high and lowest-low channel. Two adaptive bounds expand or contract in response to changes in that channel, moderated by a reactivity setting. The indicator identifies bullish and bearish…

Technical indicatorsTrend followingVolatilityRisk management
Amberdata research

The article explains stablecoins as crypto assets designed to track another asset, usually the US dollar, and distinguishes reserve-backed tokens from algorithmic designs. Reserve-backed tokens depend on the issuer holding assets intended to support…

CryptoDeFiRisk managementVolatility
MQL5 code base

The indicator creates a channel by filtering closing prices with the Hodrick–Prescott method at two periods, then measuring the standard deviation of the faster filtered series relative to the slower one. It also displays the average spread and the channel…

Technical indicatorsVolatility
SuperMind

This post describes a simple Chinese equity screen. It selects stocks with an amplitude above 1, a maximum decline for the day between 4% and 5%, and ranks qualifying stocks by the day’s auction amount, taking the top five. The stated rationale combines a…

EquitiesChina marketsVolatilityTechnical indicators
MQL5 code base

This brief entry describes a MetaTrader 5 indicator called ATR 3XMA HTF, with an input that lets the user select the chart period used by the indicator. The example default is a four-hour period. The page also notes that the indicator depends on a separate…

Technical indicatorsVolatility
ProRealCode

This document defines Wilder’s channel as two volatility-adjusted boundaries. The upper line adds a scaled Average True Range value to a Wilder average of highs, while the lower line subtracts the same volatility adjustment from a Wilder average of lows. Its…

Technical indicatorsVolatility
SuperMind

The document describes a Chinese equity screen that combines daily price amplitude above 1%, a circulating share count no greater than 5.5 billion, and a day-over-day increase in volume above 5%. It explains the intended rationale: price movement may…

EquitiesChina marketsVolatilityTechnical indicators
Amberdata research

This weekly market recap reviews Bitcoin and Ether derivatives conditions, including realized volatility, implied-volatility term structure, skew, option flows, and dealer gamma. It describes weak spot prices alongside subdued realized volatility, while…

CryptoOptionsVolatilityDerivatives pricing
MQL5 code base

The document describes an expert advisor that uses Bollinger Bands and RSI thresholds to generate trades. Its listed settings include an eight-period RSI, a high threshold of 90 for selling near the upper band, and a low threshold of 10 for buying near the…

ForexTechnical indicatorsVolatilityRisk management