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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

1,747 documents

Strategy library

This strategy combines MACD direction, an EMA price filter, and RSI thresholds to generate trend and reversal signals. It opens a long when price is above the EMA and MACD is positive, or a short when price is below the EMA and MACD is negative. The…

CryptoPerpetual futuresTrend followingMean reversion
Strategy library

This note describes a utility for setting price and quantity precision for Binance perpetual contracts. It queries Binance’s derivatives exchange information endpoint, searches the returned symbol records for each configured instrument, and reads the price…

CryptoPerpetual futuresExecution
Strategy library

This workflow describes an automated approach to tokenized US stock perpetual contracts. On a scheduled cycle, it collects current position details, news sentiment, and daily US equity candles. It computes MACD, RSI, ATR, and OBV, then uses language-model…

EquitiesPerpetual futuresSentimentTechnical indicators
Strategy library

This document demonstrates how to retrieve historical candlesticks from OKX’s V5 market endpoint when each request is limited to 100 bars. Its example repeatedly requests pages, uses the timestamp of the most recently processed record as the cursor for the…

CryptoPerpetual futuresExecutionMarket microstructure
Strategy library

This is a long-only dollar-cost-averaging strategy for an ATOM perpetual market. A 14-period RSI on a four-hour timeframe arms the initial entry when it falls below 28. If price declines from the base entry, five safety orders can be placed at fixed…

CryptoPerpetual futuresMean reversionPosition sizing
Strategy library

This document presents a monitoring utility for Binance futures markets. It periodically retrieves exchange contract information, filters for active USDT-quoted perpetual contracts, and compares the resulting symbols with a stored list to identify newly…

CryptoFuturesPerpetual futuresExecution
Strategy library

This controller tracks an asset balance on a spot exchange and compares it with a short position on a perpetual market. It calculates a target hedge by multiplying the spot balance by a configurable hedge ratio, then measures the difference between that…

CryptoSpot marketsPerpetual futuresRisk management
Strategy library

This trend-following system combines an AVWAP crossing with a 200-period EMA trend filter, RSI and MACD confirmation, and a volume filter that requires volume to exceed its recent average. It also calculates a midpoint from the highest high and lowest low…

FuturesPerpetual futuresTrend followingTechnical indicators
Strategy library

This short-horizon strategy combines Jev forecasts with deterministic local rules to trade Binance USDⓈ-M perpetuals using post-only maker orders. Jev estimates return-range probabilities across several horizons, side-specific adverse-selection risk, and…

CryptoFuturesPerpetual futuresMarket microstructure
Strategy library

This document describes a long-only averaging strategy for ETH perpetual futures. Its entry filter uses a 14-period RSI on a four-hour timeframe and arms an entry when RSI falls below 36. After a base order, up to five safety orders are placed at fixed…

CryptoFuturesPerpetual futuresPosition sizing
Strategy library

This document describes a dynamic grid approach for Bybit inverse contracts, configured for a coin-margined BTC/USD market. Rather than placing orders at fixed grid levels, it sets a target coin allocation that varies linearly with price between configured…

CryptoGrid tradingPosition sizingExecution
Strategy library

The document describes a trend-following system built around a short average and a longer average. Its overview specifies a 5-period EMA crossing a 34-period DEMA: an upward cross signals a long entry and a downward cross signals a short entry. It also…

Trend followingTechnical indicatorsRisk managementBacktesting
Strategy library

This strategy seeks to trade new Binance perpetual contracts at launch. It polls official announcements, tracks upcoming listings, and gathers market data from CoinMarketCap and four other exchanges, alongside news and token fundamentals. An AI model…

CryptoPerpetual futuresMachine learningExecution
Strategy library

This strategy monitors Binance force-order data for a selected coin-margined futures contract. A forced short liquidation triggers a long entry, while a forced long liquidation triggers a short entry. Before opening the opposite position, it closes an…

CryptoFuturesPerpetual futuresExecution
Strategy library

This workflow seeks to capture differences in perpetual futures funding rates across exchanges by going long where rates are lower and short where they are higher. A collection process gathers rate snapshots, while an execution process scores recent…

ArbitragePerpetual futuresExecutionRisk management
Strategy library

This two-sided perpetual futures strategy combines crossovers of fast and medium EMAs with MACD confirmation. A long setup requires the fast EMA to cross above the medium EMA and the MACD histogram to turn positive, with the MACD difference at or above zero;…

CryptoFuturesPerpetual futuresTechnical indicators
Strategy library

The document outlines an event-driven short strategy for USDT perpetual contracts approaching delisting. It monitors exchange contract metadata for a delivery date that has changed from the distant default, then allocates account funds among detected…

CryptoPerpetual futuresGrid tradingEvent-driven
Strategy library

This document outlines a long dollar-cost-averaging setup for a tokenized GOOGL perpetual futures pair. It describes a base order followed by up to eight equal-sized safety orders, placed at expanding price intervals using a step coefficient. The exit is…

CryptoFuturesPerpetual futuresRisk management
Strategy library

This perpetual futures strategy chooses long or short direction randomly, opens a position near the order book, and monitors it for fixed profit or loss thresholds. After a losing trade it increases the next order-size multiplier; after a winning trade it…

Perpetual futuresPosition sizingRisk managementExecution
Strategy library

This document presents a TradingView strategy template intended to route signals through a webhook execution backend, with crypto perpetual markets suggested as a use case. Its trading logic is described as a simple EMA crossover with an RSI filter; the…

CryptoPerpetual futuresExecutionRisk management
Strategy library

This simple RSI strategy enters long when RSI rises above the overbought threshold and short when RSI falls below the oversold threshold. RSI is calculated over a fixed period using closing prices, with the thresholds configurable. The script also converts…

Technical indicatorsMean reversionRisk managementBacktesting
Strategy library

The document combines promotional claims with a concrete futures order-management loop. The described account trades several selected coins and adjusts order size and transaction settings over time, but the supplied implementation does not show a…

FuturesGrid tradingExecutionRisk management
Strategy library

This document presents a long-only XRP perpetual futures approach that arms an entry when 4-hour RSI(14) falls below 28. After the base position, it places up to five averaging orders at fixed price declines of 2%, 5%, 9.5%, 16%, and 25% from the base entry,…

CryptoPerpetual futuresMean reversionTechnical indicators
Strategy library

The document presents a long-only grid for TRX perpetual futures. It defines fixed upper and lower price bounds and distributes buy levels between them using either geometric or arithmetic spacing. A downward crossing of a level triggers a buy; an upward…

CryptoGrid tradingPerpetual futuresPosition sizing