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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: 662

FMZ digest

The document outlines three rule-based trading templates and frames them as stages of analysis: summarizing past prices, applying trading rules, and interpreting market positioning. The periodic model combines a moving average, a prior-high or prior-low…

Nākotnes līgumiSekošana tendenceiCenas izrāviensSvārstīgums
FMZ digest

This article presents a short-horizon strategy for trading two related crypto futures contracts. Its motivating example is a claimed brief lag between TRUMP and MELANIA: when one contract moves sharply, the strategy looks for a difference in their candle…

KriptoaktīviNākotnes līgumiArbitrāžaPāru tirdzniecība
FMZ digest

This tutorial explains how to connect TradingView alerts to an automated trading robot on the FMZ platform. It uses FMZ’s extended API to send a command to a selected robot, and describes restricting the API key to the command interface and encoding the…

KriptoaktīviRīkojumu izpildeTehniskie indikatoriNākotnes līgumi
FMZ digest

This tutorial presents a Donchian Channel trend-following method based on the highest high and lowest low over a rolling lookback period. The midpoint is the average of those two channel boundaries. A close above the upper boundary opens a long position,…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
FMZ digest

This article outlines a framework for copying positions from one leader account to multiple follower accounts and products. It uses a leader-subscriber design: the leader tracks its positions, detects additions, removals, or size changes, then notifies…

KriptoaktīviNākotnes līgumiPozīcijas apjoma noteikšanaRīkojumu izpilde
FMZ digest

This article explains how to run a Python strategy whose main logic resides in a local file on the machine hosting an FMZ trading robot. Its example uses a Dual Thrust futures strategy. One approach imports a local module and passes in the platform’s…

Nākotnes līgumiVēsturisko datu pārbaude
FMZ digest

This tutorial shows how to assemble a basic spot cryptocurrency strategy with visual programming blocks. It tracks a reference price and buys when the market rises by a threshold, using a share of the account’s quote currency; after a threshold decline, it…

KriptoaktīviTūlītējo darījumu tirgiCenas impulssVēsturisko datu pārbaude
FMZ digest

This experiment proposes a live football market portfolio that combines a favored team’s win contract with two low-probability protective score paths, such as a drawless score and a narrow underdog win. The basket aims to earn by closing early if the…

Uz notikumiem balstīta tirdzniecībaStatistikaRiska pārvaldībaRīkojumu izpilde
FMZ digest

The document describes a thermostat strategy that switches between range trading and trend following according to a Choppiness Market Index style measure. The index compares the net change in closing price over a lookback period with the period’s high-low…

Sekošana tendenceiAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
FMZ digest

This tutorial describes a Bitcoin trading environment for reinforcement learning using OpenAI Gym and a PPO agent from Stable Baselines. The environment exposes recent OHLCV data alongside account history, permits buy, sell, or hold actions at fractional…

KriptoaktīviMašīnmācīšanāsVēsturisko datu pārbaudeRiska pārvaldība
FMZ digest

The document introduces FMZ’s visual workflow system as a way to connect market data, analysis, signal generation, risk controls, and order execution. It describes a modular approach in which users combine prebuilt nodes, external data requests, AI analysis,…

Rīkojumu izpildeVēsturisko datu pārbaudeTirgus noskaņojumsMašīnmācīšanās
FMZ digest

This strategy shorts high-gaining Binance USDT perpetual contracts, screening for coins that may be near a reversal. It gathers open interest, funding, market capitalization, and daily candle data, then applies hard exclusions and an AI model’s weighted…

KriptoaktīviPerpetuālie nākotnes līgumiMašīnmācīšanāsRiska pārvaldība
FMZ digest

This guide explains how to update parameters across many FMZ trading bots using the platform’s extension API. It first retrieves stopped or errored bots for a specified strategy, then fetches each bot’s current configuration so existing exchange connections,…

Rīkojumu izpilde
FMZ digest

This beginner guide explains the building blocks of programmatic cryptocurrency trading. It distinguishes an exchange account from the account sections within an exchange, describes how an API lets software retrieve data and submit orders, and explains that…

KriptoaktīviTūlītējo darījumu tirgiRīkojumu izpildeRiska pārvaldība
FMZ digest

This tutorial develops a simple spot arbitrage design that buys on the exchange with the lower price and sells on the one with the higher price. It explains practical requirements for implementing the idea: minimum and maximum order sizes, exchange price and…

KriptoaktīviTūlītējo darījumu tirgiArbitrāžaRīkojumu izpilde
FMZ digest

This tutorial introduces block based programming for building trading strategies without writing conventional code. It explains how visual modules represent logic as connected blocks, then walks through creating a simple output program and a recurring…

KriptoaktīviTūlītējo darījumu tirgiVēsturisko datu pārbaude
FMZ digest

This tutorial presents reusable M-language components for quantitative strategies, including percentage price changes, new highs, price-and-volume surges, narrow ranges, moving-average alignment, prior-high locations, and price gaps. It also introduces…

Valūtu tirgusCenas izrāviensTehniskie indikatoriVēsturisko datu pārbaude
FMZ digest

The document explains Kaufman’s Adaptive Moving Average (KAMA), which adjusts its responsiveness using an efficiency ratio based on net price movement relative to total movement over a lookback period. Low efficiency makes the average smoother in choppy…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
FMZ digest

This article describes upgrades to a cryptocurrency spot arbitrage strategy operating across two exchanges. It adds separate spread thresholds for trading in each direction, uses order-book bid and ask prices with a slippage allowance, and caps hedge size by…

KriptoaktīviTūlītējo darījumu tirgiArbitrāžaRīkojumu izpilde
FMZ digest

This document revisits a multi-coin Binance futures strategy that trades each altcoin against a basket-level index of altcoin-to-BTC prices. Positions are scaled to the deviation from the cross-sectional mean, with an exchange simulation tracking margin,…

KriptoaktīviNākotnes līgumiPāru tirdzniecībaVēsturisko datu pārbaude
FMZ digest

The document walks through a JavaScript implementation of a two-asset digital currency pair strategy on a trading platform. It estimates an average price ratio from aligned hourly candles, compares the current ratio with that average, and converts the…

KriptoaktīviPāru tirdzniecībaAtgriešanās pie vidējās vērtībasRīkojumu izpilde
FMZ digest

The document describes how a backtest advances through historical data and compares bar-based simulation with two tick-based approaches. In a traditional on-bar test, the strategy receives one decision point per candle, typically using its close, while…

Vēsturisko datu pārbaudeRīkojumu izpildeTirgus mikrostruktūraNākotnes līgumi
FMZ digest

The document presents a trend-oriented trading signal built from the slope of a smoothed midpoint between the rolling high and low. It first calculates the high and low over a lookback window, averages them, smooths that series with a moving average, and…

Nākotnes līgumiKriptoaktīviCenas impulssTehniskie indikatori
FMZ digest

The document explains a market-neutral portfolio approach that ranks a universe of related assets, buys equal-sized positions in the highest-ranked group, and shorts the lowest-ranked group. Its returns depend on whether the ranking factor separates future…

AkcijasFaktoru ieguldīšanaPortfeļa veidošanaVēsturisko datu pārbaude