Siirry sisältöön

Tietokirjasto

Stratmillin tutkimusagentin kirjoittamia tiivistelmiä ja keskeisiä ajatuksia kirjoista, tutkimuksista, artikkeleista ja koodista, joita tekoälyagenttimme lukevat. Jokaisella sivulla on linkki alkuperäislähteeseen.

Quant Q&A
20,364 dokumenttia
SuperMind
12,226 dokumenttia
OKX Learn
8,431 dokumenttia
Strategy library
7,910 dokumenttia
MQL5 code base
7,090 dokumenttia
BigQuant
3,481 dokumenttia
Bitget Academy
3,298 dokumenttia
MQL5 articles
3,012 dokumenttia
TradingView scripts
1,976 dokumenttia
ProRealCode
1,507 dokumenttia
Deribit Insights
1,232 dokumenttia
Machine Learning for Trading
1,124 dokumenttia
arXiv papers
1,033 dokumenttia
Amberdata research
766 dokumenttia
FMZ forum
682 dokumenttia
FMZ digest
662 dokumenttia
vn.py community
560 dokumenttia
QuantInsti blog
511 dokumenttia
Galaxy Research
340 dokumenttia
QuantStart
246 dokumenttia
Stratmill research code
219 dokumenttia
Robot Wealth
195 dokumenttia
NautilusTrader
191 dokumenttia
Hummingbot docs
181 dokumenttia
Paradigm research
175 dokumenttia
Lumibot
164 dokumenttia
Kraken Learn
163 dokumenttia
Kvanttikurssien kirjasto
157 dokumenttia
OctoBot
152 dokumenttia
Cryptohopper blog
144 dokumenttia
Systematic trading blog (Rob Carver)
132 dokumenttia
Qlib
116 dokumenttia
TqSdk
86 dokumenttia
Quantpedia
86 dokumenttia
Hyperliquid docs
79 dokumenttia
Freqtrade
68 dokumenttia
Hudson & Thames
62 dokumenttia
Awesome Systematic Trading
61 dokumenttia
backtrader
54 dokumenttia
vn.py
50 dokumenttia
Binance API docs
45 dokumenttia
Quantopian-luennot
45 dokumenttia
FMZ guides
38 dokumenttia
pysystemtrade
34 dokumenttia
Freqtrade docs
32 dokumenttia
quant-trading
31 dokumenttia
FinRL
28 dokumenttia
Zipline
22 dokumenttia
FMZ live strategies
21 dokumenttia
Jesse
17 dokumenttia
pyfolio
16 dokumenttia
Alphalens
14 dokumenttia
WonderTrader
14 dokumenttia
backtesting.py
11 dokumenttia
Technical Analysis
9 dokumenttia
QTPyLib
8 dokumenttia
QuantRocket
7 dokumenttia
Lumibot strategies
7 dokumenttia
Awesome Quant
1 dokumenttia

Hae kirjastosta

32 dokumenttia

Freqtrade docs

The document explains FreqAI’s main software components and how they support model development. A persistent model object handles data collection, feature engineering, training, and inference; a per-asset data kitchen provides processing tools and metadata;…

KoneoppiminenKryptovaratHistoriatestaus
Freqtrade docs

The document explains how FreqAI trains trading agents through reinforcement learning. An agent processes historical candles and chooses among actions such as entering or exiting long and short positions. A custom reward function scores its decisions, while…

KoneoppiminenRiskienhallintaHistoriatestaus
Freqtrade docs

The guide explains how to enable public trade downloads in Freqtrade and configure order flow processing. Settings control cached candles, trade history depth, footprint price-bin size, and the volume and ratio thresholds used to identify imbalances.…

Markkinoiden mikrorakenneToimeksiantojen toteutusHistoriatestausTilastotiede
Freqtrade docs

This quick start explains how a Freqtrade strategy turns exchange candle data into indicators, entry and exit signals, and orders. A strategy is implemented as a Python class with separate methods for calculating indicators and populating long or short…

KryptovaratTekniset indikaattoritHistoriatestausToimeksiantojen toteutus
Freqtrade docs

The document explains how to inspect backtest performance by entry and exit reasons in Freqtrade. It describes exporting signal data, then grouping trade outcomes by entry tag, exit tag, and pair. These views range from an overall summary to detailed pair…

HistoriatestausTilastotiedeTekniset indikaattorit
Freqtrade docs

This guide explains how to download and maintain historical market data for strategy backtesting and hyperparameter optimization. It covers choosing pairs, timeframes, exchanges, and date ranges; refreshing existing datasets incrementally; and adding earlier…

HistoriatestausKryptovaratFutuuritSpot-markkinat
Freqtrade docs

The document explains how Freqtrade’s Hyperopt process searches strategy parameter combinations by repeatedly backtesting historical data. It begins with random combinations and then uses an Optuna sampler to explore parameter spaces while minimizing a…

HistoriatestausKoneoppiminenRiskienhallinta
Freqtrade docs

This documentation explains how to start Freqtrade and select the configuration, strategy, data directory, and database used by a bot run. It outlines command-line options for live or simulated trading, including dry-run balance and fee settings, and notes…

KryptovaratToimeksiantojen toteutusHistoriatestaus