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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

7 documents

Freqtrade

This Freqtrade example is an operational strategy for winding down open positions after stopping new buys. It defines no entry or exit signals; instead, a minimal return-on-investment schedule closes trades that reach a small initial profit threshold, then…

Risk managementExecutionPosition sizing
Freqtrade

This Freqtrade strategy example applies an Almgren–Chriss style execution schedule to position entries and exits. It estimates a parameter called kappa from rolling price variability, candle range, and volume, using it to shape the fraction traded in each…

ExecutionMarket microstructureRisk managementTechnical indicators
Freqtrade

This example describes a five-minute long-only strategy built from moving averages, Heikin-Ashi candles, and RSI. It enters when the 20-period EMA crosses above the 50-period EMA, the Heikin-Ashi close is above the faster average, and the candle is positive.…

CryptoTechnical indicatorsMomentumRisk management
Freqtrade

The example demonstrates a Freqtrade custom stop that follows the Parabolic SAR indicator. It calculates SAR for each candle, then reads the latest analyzed value in the stop-loss callback and converts the distance between the current rate and SAR into the…

CryptoTechnical indicatorsRisk managementExecution
Freqtrade

This Freqtrade strategy defines long entries on a five-minute timeframe by combining four signals: RSI below 30, stochastic %K below 20, the close below the lower Bollinger Band, and a detected hammer candle. The conjunction is intended to identify a…

Technical indicatorsMean reversionRisk managementExecution
Freqtrade

The strategy demonstrates time-weighted average price execution by splitting entries and exits into equal-sized portions spaced at fixed time intervals. It configures the number of slices and spacing, and uses an RSI indicator on a 15-minute timeframe to…

ExecutionMarket microstructureTechnical indicatorsPosition sizing
Freqtrade

This Freqtrade strategy is designed to compare its backtest with a corresponding strategy run on another platform for the same coin, period, and resolution. It calculates fast and slow simple moving averages over 14 and 28 periods on hourly candles. A long…

CryptoTechnical indicatorsBacktestingExecution