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Zināšanu bibliotēka

Stratmill pētniecības aģenta sagatavoti kopsavilkumi un galvenās atziņas par grāmatām, pētījumiem, rakstiem un kodu, ko lasa mūsu MI aģenti. Katrā lapā ir saite uz oriģinālu.

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

Meklēt bibliotēkā

Dokumentu skaits: 152

OctoBot

This guide explains how to route OctoBot exchange requests through a proxy. It identifies two reasons: keeping a consistent outbound IP address for exchange IP allowlisting, and continuing to use the same IP while traveling. The instructions focus on setting…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūra
OctoBot

The document explains how an automated trading strategy can be divided between a trading mode and evaluators. The trading mode handles order creation, sizing, maintenance, and cancellation. Evaluators provide signals that activate the mode when conditions…

KriptoaktīviRežģa tirdzniecībaTehniskie indikatoriRīkojumu izpilde
OctoBot

This guide describes a flexible grid trading mode for spot markets. Instead of starting from a chosen number of open orders, the trader specifies upper and lower price bounds along with grid spacing and increments. The system then determines the required buy…

KriptoaktīviRežģa tirdzniecībaTūlītējo darījumu tirgiRīkojumu izpilde
OctoBot

This document explains OctoBot’s architecture for moving market and other data through a modular trading system. It uses asynchronous producer-consumer channels to notify components when new information arrives, aiming to avoid polling loops and keep…

Tirgus mikrostruktūraRīkojumu izpildeTehniskie indikatori
OctoBot

Dollar-cost averaging (DCA) invests a fixed amount at regular intervals regardless of market price. The approach buys more units when prices are lower and fewer when they are higher, spreading entry points over time. The document presents it as a way to…

KriptoaktīviPozīcijas apjoma noteikšanaRiska pārvaldībaTūlītējo darījumu tirgi
OctoBot

The document introduces cryptocurrency trading bots as software that places trades according to preset rules. It describes three possible inputs: technical indicators such as moving averages and RSI, predictions based on historical data, and external trading…

KriptoaktīviTehniskie indikatoriMašīnmācīšanāsVēsturisko datu pārbaude
OctoBot

The document explains the role of a trading mode in an OctoBot strategy: it creates, maintains, and cancels exchange orders, while evaluators can send signals that prompt the mode to act. This separates signal generation from order handling. Some modes,…

Rīkojumu izpildeRežģa tirdzniecībaTehniskie indikatori
OctoBot

This introductory guide outlines a workflow for training and backtesting a cryptocurrency trading agent using a scripting framework. It explains reinforcement learning as an approach in which an agent takes actions in a market environment and receives…

KriptoaktīviMašīnmācīšanāsVēsturisko datu pārbaudeTehniskie indikatori
OctoBot

The document explains HODL as a cryptocurrency-community term for retaining an asset through price fluctuations, in contrast with frequent short-term trading. It traces the term to a misspelling in a Bitcoin forum post during a market decline and describes…

KriptoaktīviTūlītējo darījumu tirgi
OctoBot

This documentation introduces OctoBot script, an early alpha Python framework for writing automated trading strategies with an interface compared to Pine Script. Its example uses RSI to identify buy entries: it computes the indicator over historical candle…

KriptoaktīviTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
OctoBot

This short OctoBot configuration guide explains three ways to specify an order price relative to a crypto market. A constant sets an exact price. A signed price delta moves the current price up or down by a fixed amount, while a signed percentage changes it…

KriptoaktīviRīkojumu izpilde
OctoBot

The document explains how to run strategy backtests in OctoBot: choose a profile, download historical market data, select a data file, run the simulation, and review performance summaries, charts, and individual trades. It describes how the starting…

Vēsturisko datu pārbaudeKriptoaktīviRīkojumu izpildeRiska pārvaldība
OctoBot

The guide distinguishes OctoBot’s historical portfolio profitability from its historical profit and loss (P&L). Portfolio profitability values configured tradable assets in a selected reference market, then compares the total value of current holdings with…

KriptoaktīviPortfeļa veidošanaRiska pārvaldība
OctoBot

The document describes OctoBot’s exchange connectivity and distinguishes officially supported venues from community-tested ones. It says OctoBot connects through the CCXT library, so other CCXT-listed exchanges may work in principle, but only official and…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūra
OctoBot

This French-language guide explains how to run several automated crypto strategies or asset baskets through OctoBot Cloud. Its key operating rule is to assign only one strategy or basket to each exchange portfolio, which is intended to prevent strategies…

KriptoaktīviPortfeļa veidošanaRiska pārvaldībaRīkojumu izpilde
OctoBot

This French guide explains how to access OctoBot cloud strategies from an OctoBot trading bot, starting with version 1.0.4. Users can find the strategies in the bot’s Community tab and use them in either simulated or live trading. The guide describes…

KriptoaktīviVēsturisko datu pārbaudeTehniskie indikatori
OctoBot

This guide explains how an exchange API key lets trading software interact with a cryptocurrency account without using the account’s email address or login password. In the OctoBot example, the key is used to read wallet balances and to view, place, and…

KriptoaktīviRīkojumu izpildeRiska pārvaldībaTūlītējo darījumu tirgi
OctoBot

This introductory guide compares market, limit, stop, and take-profit orders for cryptocurrency trading. A market order seeks the best available price and usually prioritizes execution, while a limit order specifies the price at which a trader is willing to…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
OctoBot

This guide explains how to configure OctoBot’s GPT interface and evaluator to use a language model for trading-related predictions. It covers adding an API credential for the hosted service, setting a custom LLM base address for another compatible server,…

MašīnmācīšanāsRīkojumu izpildeRiska pārvaldība
OctoBot

This introductory article explains cryptocurrency futures as contracts used to gain exposure to expected price movements without directly holding the underlying coins. It outlines long and short positioning, noting that short sellers aim to buy back at a…

KriptoaktīviNākotnes līgumiArbitrāžaRiska pārvaldība
OctoBot

This introductory post explains cryptocurrency trading and presents general reasons a trader might use an automated trading bot. It describes bots as tools that can execute preset rules continuously, which may reduce the influence of fear or greed and free a…

KriptoaktīviRīkojumu izpildeRiska pārvaldība
OctoBot

This explainer describes exchange API keys as credentials that let trading software interact with a cryptocurrency account without using the account email address or password. The stated bot functions include reading portfolio balances and retrieving,…

KriptoaktīviRīkojumu izpildeRiska pārvaldībaTirgus mikrostruktūra
OctoBot

This guide surveys ten cryptocurrency trading bot platforms, describing their strategy types, free-plan restrictions, and usability. It introduces bots as software that connects to exchanges and executes predefined rules, then compares offerings that include…

KriptoaktīviRežģa tirdzniecībaTirgus veidošanaArbitrāža
OctoBot

This guide explains how to obtain exchange history for OctoBot Script backtests and how to reuse previously downloaded data. The fetch request is configured with a trading pair and candle interval, with optional settings for the starting timestamp, exchange,…

Vēsturisko datu pārbaudeKriptoaktīviTūlītējo darījumu tirgiNākotnes līgumi