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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: 682

FMZ forum

The document compares an asynchronous script that requests market data for many cryptocurrency pairs in a local VS Code run with its behavior in a live environment. The local log shows updates arriving about a second apart, while the live log shows selected…

KriptoaktīviAugstas frekvences tirdzniecībaRīkojumu izpilde
FMZ forum

This tutorial explains how to configure and assess a quantitative strategy backtest, using a platform example and a regime-switching futures strategy. It covers selecting a historical period and bar interval, choosing simulated or closer-to-market data,…

Vēsturisko datu pārbaudeRiska pārvaldībaNākotnes līgumiTehniskie indikatori
FMZ forum

This tutorial builds a simple long-only momentum strategy for AAPL using short and long simple moving averages. It buys when the shorter average rises above the longer one and sells when it falls below. The worked example uses 100-day and 400-day lookbacks,…

AkcijasCenas impulssTehniskie indikatoriVēsturisko datu pārbaude
FMZ forum

The document introduces a trading model that combines GARCH forecasts of next-period volatility with quantile regression to estimate upper and lower value-at-risk boundaries. It explains how ARCH models use past squared returns and how GARCH adds lagged…

KriptoaktīviSvārstīgumsStatistikaMašīnmācīšanās
FMZ forum

This example shows how to plot futures price records alongside MACD indicator lines using separate vertical axes. It configures one axis for the price chart and assigns the DIF, DEA, and MACD series to a second axis, then updates those lines as new records…

Nākotnes līgumiTehniskie indikatori
FMZ forum

This post raises a practical indicator-validation question: why does a platform’s 14-period ATR on one-minute swap records differ from a Binance value at the same stated time, while the 20-period moving averages are relatively close? It shows example…

KriptoaktīviTehniskie indikatoriStatistikaNākotnes līgumi
FMZ forum

This tutorial explains how to work with timestamps in a trading platform’s JavaScript and Python environments. It describes JavaScript timestamps as millisecond values and introduces the platform’s _D function for displaying a timestamp as a readable date…

StatistikaRīkojumu izpilde
FMZ forum

This strategy modifies a two-way martingale by opening a position against the current exposure when price reaches a configurable hedge threshold. It describes settings for initial order size, take-profit distance, leverage, position growth, and the…

KriptoaktīviRežģa tirdzniecībaPozīcijas apjoma noteikšanaRiska pārvaldība
FMZ forum

This article presents dynamic time warping (DTW) as a way to find price series with shapes similar to a manually selected reference pattern. Unlike point-by-point comparison, DTW can align sequences whose patterns unfold at different speeds or have…

AkcijasĶīnas tirgiTehniskie indikatoriMašīnmācīšanās
FMZ forum

This platform guide demonstrates basic BitMEX futures operations through FMZ: selecting a contract, reading ticker and account data, submitting market and limit orders, checking positions and orders, and canceling resting orders. It also shows changing…

KriptoaktīviNākotnes līgumiRīkojumu izpildeTirgus mikrostruktūra
FMZ forum

This code commentary explains a directional spot trading bot that can open either a long or short position, add to the position as price moves against it, and close when a profit target or stop-loss condition is reached. It exposes settings for order size,…

KriptoaktīviTūlītējo darījumu tirgiRežģa tirdzniecībaRīkojumu izpilde
FMZ forum

Day trading seeks to profit from short-term price moves caused by temporary imbalances in supply and demand. Traders typically close positions before the session ends, focusing on price action rather than long-term company fundamentals. The document says…

AkcijasRīkojumu izpildeTirgus mikrostruktūraTehniskie indikatori
FMZ forum

This forum question discusses two problems encountered while using Kaufman’s Adaptive Moving Average (KAMA) in a Python trading environment. First, a user reports that passing platform market records directly to the TA-Lib KAMA function fails because it…

Tehniskie indikatoriStatistika
FMZ forum

This FMZ reference explains Pine script structure, including version directives, indicator or strategy declarations, statements, comments, indentation, and line wrapping. It introduces time series as values indexed across bars and shows how square-bracket…

Tehniskie indikatoriRīkojumu izpildeVēsturisko datu pārbaudeStatistika
FMZ forum

This article describes a cash-and-carry approach to crypto perpetual futures: hold spot while shorting a matching perpetual position to collect funding when the rate is positive. It explains that funding payments help keep perpetual prices near spot, and…

KriptoaktīviArbitrāžaPerpetuālie nākotnes līgumiTūlītējo darījumu tirgi
FMZ forum

The document explains volume profiles, also called chip-distribution charts in stock trading, as a way to display trading activity at different price levels over a selected period. It describes dividing the visible candles’ price range into bins and tallying…

Tehniskie indikatoriTirgus mikrostruktūraAkcijasKriptoaktīvi
FMZ forum

This platform announcement describes support for trading Binance BTC-USDT futures through an algorithmic trading system. It lists a maximum leverage of 20 and explains that leverage is applied automatically, with required margin rising as notional position…

KriptoaktīviNākotnes līgumiRīkojumu izpildePozīcijas apjoma noteikšana
FMZ forum

The document discusses using time of day to refine entries and exits. It notes that liquidity often follows a U-shaped intraday pattern, with greater activity near the open and close, and that traders may observe price or volume changes around the close. It…

Nākotnes līgumiSekošana tendenceiAtgriešanās pie vidējās vērtībasArbitrāža
FMZ forum

This document is a reference table of reported fees and fee-page locations for numerous cryptocurrency exchanges, covering spot markets and several derivatives venues. Some entries state maker and taker rates or broad fee estimates; others refer to linked…

KriptoaktīviTirgus mikrostruktūraRīkojumu izpildePerpetuālie nākotnes līgumi
FMZ forum

This conclusion to a chart analysis tutorial explains how traders use price patterns to infer possible direction and estimate potential moves. It names formations such as head and shoulders, triangles, cup and handle, tops and bottoms, flags, pennants,…

Tehniskie indikatoriCenas izrāviensPozīcijas apjoma noteikšana
FMZ forum

The document argues that investors should define conditions for leaving a position in advance and reassess holdings against their original investment rationale. It uses Warren Buffett and George Soros as examples: Buffett may sell when a company no longer…

Riska pārvaldībaPozīcijas apjoma noteikšanaTehniskie indikatoriUz notikumiem balstīta tirdzniecība
FMZ forum

This short exchange API note investigates a buy order on BTS, a cryptocurrency, using a limit price set above the latest quoted price. The author compares account balances before and after the order and reports that entering a quantity of 20 resulted in a…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūra
FMZ forum

The author describes FMZ, formerly BotVS, as a platform intended to make automated trading easier for users with limited programming experience. The article highlights cross-exchange strategy portability, learning materials and templates, simulated…

KriptoaktīviNākotnes līgumiVēsturisko datu pārbaudeRīkojumu izpilde
FMZ forum

The article introduces Bayesian reasoning through an informal example of estimating whether someone is single. It begins with a prior probability, then revises that estimate using observed clues and rates estimated from comparison groups. The central lesson…

StatistikaRiska pārvaldība