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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

The guide explains how to run a strategy or crypto basket in paper trading through OctoBot cloud. A user starts trading from the selected strategy or basket, chooses paper trading, and sets the size of a virtual portfolio. The simulated bot follows the…

KriptoaktīviVēsturisko datu pārbaudeRīkojumu izpilde
OctoBot

This introductory article defines a trading strategy as a plan specifying what to trade, when to enter and exit, and how much capital to risk. It says the plan should reflect the trader's goals and tolerance for losses, and describes technical analysis, risk…

Vairāku aktīvu tirdzniecībaRiska pārvaldībaPozīcijas apjoma noteikšanaRīkojumu izpilde
OctoBot

The document explains how an OctoBot strategy owner can distribute crypto trading signals from a Telegram group. The setup involves adding OctoBot’s bot to the group with administrator access, retrieving the channel identifier, enabling the Telegram…

KriptoaktīviRīkojumu izpilde
OctoBot

This guide explains how to format TradingView alert messages so OctoBot can create or cancel exchange orders. A minimal order alert identifies the exchange and symbol and gives a buy or sell signal. Optional fields specify market, limit, or stop order…

Rīkojumu izpildeKriptoaktīviNākotnes līgumiRiska pārvaldība
OctoBot

This guide explains how to route TradingView Pine Script strategy order events to OctoBot so that the bot can act on an exchange. It instructs users to define an alert message containing trade parameters, attach that message to strategy entry, exit, or close…

KriptoaktīviRīkojumu izpilde
OctoBot

This promotional fireside-chat recap describes OctoBot’s use of AI to turn natural-language requests into crypto trading setups. Examples include selecting a crypto basket, creating a dollar-cost averaging plan, configuring a grid strategy, and generating a…

KriptoaktīviMašīnmācīšanāsRežģa tirdzniecībaPortfeļa veidošana
OctoBot

This guide explains how to configure OctoBot order sizes using fixed quantities, portfolio-scaled percentages, or amounts that change with available holdings. Fixed settings specify a base-asset quantity or a quote-currency value. Scaling settings allocate a…

Pozīcijas apjoma noteikšanaPortfeļa veidošanaRīkojumu izpildeRiska pārvaldība
OctoBot

The article explains self-custody trading bots as software run under the trader’s control, with exchange API credentials or wallet keys kept on the trader’s own device or server. It compares three approaches for centralized exchanges: built-in exchange bots,…

KriptoaktīviRīkojumu izpildeRiska pārvaldībaPerpetuālie nākotnes līgumi
OctoBot

This overview compares ten cryptocurrency trading platforms by their automation styles, access models, and supporting tools. It describes grid trading within a defined price range, dollar-cost averaging, signal-driven systems, market making, and custom…

KriptoaktīviRežģa tirdzniecībaTirgus veidošanaVēsturisko datu pārbaude
OctoBot

The document describes a crypto portfolio mode that allocates a reference-market balance across a configured set of coins. At startup or during scheduled checks, the system values holdings, compares their proportions with the index targets, and rebalances…

KriptoaktīviPortfeļa veidošanaRiska pārvaldība
OctoBot

This article surveys ten cryptocurrency trading bot platforms and outlines the kinds of automation they offer. Features described include grid trading within a price range, dollar-cost averaging, signal-based trading, market making, technical-indicator…

KriptoaktīviRežģa tirdzniecībaTirgus veidošanaRīkojumu izpilde
OctoBot

The document explains how self-custody trading bots automate strategies while keeping exchange API keys or wallet credentials under the user's control. It compares three ways to automate centralized-exchange trading: exchange-hosted bots, third-party…

KriptoaktīviRīkojumu izpildeRiska pārvaldība
OctoBot

This overview describes OctoBot as an event-driven trading system built around asynchronous producer-consumer channels. Rather than relying on repeated polling loops, new data travels through channels to the components that need it, allowing evaluation to…

Rīkojumu izpildeTirgus mikrostruktūraTehniskie indikatori
OctoBot

This guide explains how TradingView webhook alert messages can direct the open-source OctoBot to place or cancel exchange orders. A basic order alert identifies the exchange, symbol, and buy or sell signal. Optional fields specify order type, volume, price,…

Rīkojumu izpildeKriptoaktīviNākotnes līgumi
OctoBot

This guide explains how a dollar-cost averaging trading mode can place entries on a schedule or in response to evaluator signals. Evaluator-triggered entries require a maximum signal value of -1 or 1; other values are ignored. Entry orders may be market or…

KriptoaktīviNākotnes līgumiTūlītējo darījumu tirgiRīkojumu izpilde
OctoBot

The article explains SAFU as Binance’s emergency fund intended to help protect users’ assets in extreme situations. It says the exchange established the fund in 2018 and allocated a portion of trading fees to it. The described holdings include BNB, Bitcoin,…

KriptoaktīviRiska pārvaldībaTūlītējo darījumu tirgi
OctoBot

This guide explains how to route TradingView indicator alerts to OctoBot so the bot can act on incoming signals. The setup involves creating an alert in TradingView, configuring it to send a message to OctoBot's webhook, and defining the alert message in the…

KriptoaktīviRīkojumu izpilde
OctoBot

This FAQ explains several operational details that affect automated trading and backtest interpretation. Before submitting an order, OctoBot checks exchange minimum and maximum requirements; signals may therefore produce no order, commonly because the…

KriptoaktīviRīkojumu izpildeRiska pārvaldībaVēsturisko datu pārbaude
OctoBot

This tutorial explains how to automate a moving-average crossover strategy for crypto using TradingView alerts and OctoBot. A short-period exponential moving average crossing above a longer-period EMA signals a buy; crossing below signals a sell. Its worked…

KriptoaktīviTehniskie indikatoriSekošana tendenceiRīkojumu izpilde
OctoBot

The document describes using a virtual portfolio to run crypto strategies or asset baskets under current market conditions without placing orders through a real exchange account. It outlines a basic setup: choose a strategy or basket, start trading in…

KriptoaktīviVēsturisko datu pārbaudeRīkojumu izpilde
OctoBot

This guide explains how to connect TradingView indicator alerts to OctoBot so that alert signals can trigger automated trades on a connected exchange. The described setup involves creating an indicator alert, configuring OctoBot’s webhook as the destination,…

Rīkojumu izpildeKriptoaktīvi
OctoBot

This introductory guide describes a workflow for building an automated cryptocurrency strategy with OctoBot Script. It explains reinforcement learning in broad terms: an agent interacts with a market environment, takes actions such as buying or selling, and…

KriptoaktīviMašīnmācīšanāsVēsturisko datu pārbaudeTehniskie indikatori
OctoBot

The article introduces a visual tool for examining trading strategy backtests. It lets users inspect trades, futures positions, profit and loss, portfolio value, strategy settings, and other metrics over the course of a run. The emphasis is on seeing how a…

Vēsturisko datu pārbaudeNākotnes līgumi
OctoBot

Dip Analyser is a trading mode for buying during local price dips and selling positions through multiple take-profit orders. It is presented as an advanced form of dollar-cost averaging that combines several evaluators. The mode supports spot and futures…

Tūlītējo darījumu tirgiNākotnes līgumiAtgriešanās pie vidējās vērtībasPozīcijas apjoma noteikšana