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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

9,797 documents

Strategy library

This indicator combines directional movement and MACD conditions to label a market as bullish or bearish. A bullish state requires the positive directional indicator to exceed the negative one and the MACD line to exceed its signal line. The bearish state…

Technical indicatorsFuturesBacktesting
Strategy library

This long-only trend-following strategy uses a 5-period and a 12-period simple moving average. A cross of the faster average above the slower one opens a long position; a downward cross closes it. The described risk controls begin with a 10% take-profit…

Trend followingTechnical indicatorsRisk managementFutures
Strategy library

This strategy uses a 14-period Stochastic Oscillator, smoothing %K and %D with simple moving averages. A bullish crossover below 20 opens a long position, while a bearish crossover above 80 opens a short. Each position has fixed take-profit and stop-loss…

Technical indicatorsFuturesRisk managementBacktesting
Strategy library

This strategy uses the change in direction of a linear regression applied to an exponential moving average as its signal. When the regression value turns upward, it records a long entry level at the bar's high and a stop level at its low; a downward turn…

FuturesCryptoTrend followingTechnical indicators
Strategy library

This automated strategy uses a MACD line crossing its signal line to open long or short positions. Its stated default indicator periods are 12 and 26 for the fast and slow averages and 9 for signal smoothing. The exit framework combines a stop 1% from entry,…

FuturesCryptoMomentumTechnical indicators
Strategy library

This document describes a mechanical trend-following strategy that uses the prior 20 days’ high and low to define breakout levels. A close above the range triggers a long entry, while a close below it triggers a short entry. The source also calculates a…

CryptoFuturesTrend followingBreakout
Strategy library

This strategy combines a 2/20 exponential moving-average signal with the Adaptive Price Zone, a volatility-based band indicator, to trade possible turning points in oscillating markets. The moving-average component tracks price behavior around short and…

Mean reversionTechnical indicatorsVolatilityCrypto
Strategy library

This strategy combines a 2/20 exponential moving-average signal with the Adaptive Price Zone, a volatility-based band indicator, to trade possible reversals in oscillating markets. The moving-average component tracks price behavior around short and longer…

Mean reversionTechnical indicatorsVolatilityCrypto
Strategy library

This strategy combines Supertrend direction changes with MACD signals calculated from daily data, while RSI contributes additional exit signals. Entries require agreement between Supertrend and MACD direction. The MACD component uses the slope of its line…

CryptoFuturesTrend followingMomentum
Strategy library

The document introduces a session-based momentum scalper for FCPO, with configurable presets for different chart intervals and a custom mode for manual take-profit and stop-loss settings. Its listed filters include an ATR ceiling and floor, minimum…

FuturesCommoditiesMomentumVolatility
Strategy library

This indicator strategy uses a longer simple moving average and a shorter exponential moving average to frame price direction, then combines their crossings with Stochastic K and D readings. The stated long entry occurs when price crosses above the simple…

CryptoFuturesMomentumTechnical indicators
Strategy library

This strategy combines two RSI readings, a SuperTrend-style trend filter, and ATR-based volatility concepts to define long and short signals. The explanatory text describes longs when the fast RSI is below the slow RSI while price is above the trend line,…

CryptoFuturesMomentumVolatility
Strategy library

This strategy uses a linear regression of closing prices as a moving trend reference. It opens a long when price rises beyond the line by a configurable percentage and a short when it falls below by the corresponding threshold. The implementation allows one…

CryptoFuturesBreakoutTrend following
Strategy library

This strategy combines Bollinger Bands with an ATR-based trailing stop. It describes entering long when price crosses below the lower band and short when price crosses above the upper band, with additional entries triggered by crosses of the ATR stop.…

CryptoFuturesTrend followingBreakout
Strategy library

This strategy uses two double exponential moving average lines derived from short EMA series to generate directional signals. A crossover between the lines prompts a long or short entry, with the approach presented as a simple trend-following method whose…

CryptoFuturesTrend followingTechnical indicators
Strategy library

This long-entry strategy looks for a return inside the lower Bollinger Band after the previous bar's high remained below that band. It treats the pattern as a possible oversold reversal, with the band center as the first profit target and the upper band as…

FuturesCryptoMean reversionVolatility
Strategy library

This long-only system combines three potential entry triggers: a fast EMA crossing above a slower EMA, MACD momentum crossing above zero, or a daily close rising sharply relative to its open. Exits use a fixed stop below the average entry price and a larger…

FuturesCryptoMomentumBreakout
Strategy library

This strategy combines the Schaff Trend Cycle (STC), a simple moving average, and Average True Range (ATR) to time entries and manage exits. STC changes in direction trigger potential trades; a price position relative to the moving average and the direction…

FuturesCryptoTrend followingTechnical indicators
Strategy library

The document presents a customizable trend-following framework using short- and long-period simple moving averages. It generates a candidate long signal when price crosses above the short SMA while positioned above the long SMA, and a candidate short signal…

Trend followingTechnical indicatorsFuturesBacktesting
Strategy library

This strategy builds a moving level from Bollinger-style bands calculated using the high and low series, then adjusts that level as price moves. Crosses of the dynamic level generate potential long or short entries. An optional RSI filter compares a smoothed…

Technical indicatorsMean reversionMomentumVolatility
Strategy library

This indicator adapts SuperTrend bands around a selectable moving-average baseline. The default baseline is an exponential moving average, while the parameters allow several alternatives, including weighted, Hull, zero-lag, and Tillson T3 averages. ATR sets…

Technical indicatorsTrend followingVolatilityFutures
Strategy library

This Python example demonstrates an iceberg-style execution workflow for a futures contract using a trading API’s target-position task. The user specifies a target trade amount, a minimum and maximum order size, a buy or sell direction, and an execution…

FuturesExecutionMarket microstructure
Strategy library

This strategy combines two simple moving averages (SMAs) with the relative strength index (RSI). The short SMA is compared with the long SMA to define direction: the strategy enters long when the short average is above the long average and RSI is below 30,…

FuturesTrend followingMomentumTechnical indicators
Strategy library

This strategy uses an exponential moving average (EMA) as a reference for price bounces. A bullish setup occurs when the prior candle’s low stayed above the EMA, the current candle’s low dips below it, and the current close finishes above it. A bearish setup…

FuturesTrend followingTechnical indicatorsRisk management