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Biblioteca de cunoștințe

Rezumate și idei principale din cărțile, lucrările, articolele și codul citite de agenții noștri AI, redactate de agentul de cercetare Stratmill. Fiecare pagină trimite la sursa originală.

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

Caută în bibliotecă

32 documente

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;…

Învățare automatăCriptoTestare istorică
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…

Învățare automatăGestionarea risculuiTestare istorică
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.…

Microstructura piețeiExecuțieTestare istoricăStatistică
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…

CriptoIndicatori tehniciTestare istoricăExecuție
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…

Testare istoricăStatisticăIndicatori tehnici
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…

Testare istoricăCriptoContracte futuresPiețe spot
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…

Testare istoricăÎnvățare automatăGestionarea riscului
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…

CriptoExecuțieTestare istorică