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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: 79,386

BigQuant

This catalog describes built-in quantitative data fields for Chinese A-share equities. Its factor families include historical prices, returns, trading volume and value, turnover, active money flows, valuation ratios, profitability and balance-sheet measures,…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
Amberdata research

This weekly digital-asset snapshot combines price action with derivatives positioning, institutional flows, order-book liquidity, spreads, and DeFi indicators. It describes Bitcoin testing support near $86,000 amid a broader risk-off move, while ETF…

KriptoaktīviPerpetuālie nākotnes līgumiTirgus mikrostruktūraSvārstīgums
Binance API docs

This reference explains exchange rules that determine whether orders are accepted. Symbol-level checks cover valid price ranges and increments, quantity bounds and steps, notional value limits, iceberg order parts, trailing-stop parameters, and caps on open…

KriptoaktīviRīkojumu izpildeTirgus mikrostruktūraRiska pārvaldība
Amberdata research

This market commentary links changing Federal Reserve rate-cut expectations with risk-asset performance, then examines relative strength and options conditions in Bitcoin and Ether. It discusses how realized volatility and the ETH/BTC ratio may reflect…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
SuperMind

This stock screen combines three filters: daily amplitude above a threshold, a shrinking negative MACD histogram on a 15-minute interval, and positive indicators associated with beverage and alcohol imports and exports. The stated rationale is to seek…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
FMZ forum

This overview organizes strategy examples collected from a cryptocurrency trading platform into three groups: basic trading aids, simple strategies for study, and strategies described as having performed well in live trading. The examples span price alerts,…

KriptoaktīviNākotnes līgumiArbitrāžaRežģa tirdzniecība
SuperMind

This document proposes screening A-shares for turnover between 3% and 12%, total market value below 10 billion yuan, no reported losses, and free-float market value above 1 billion yuan. It frames the combination as a way to narrow the universe by trading…

AkcijasFaktoru ieguldīšanaStatistikaĶīnas tirgi
MQL5 code base

This document describes an Expert Advisor that generates a trading signal when the i4_DRF_v3 indicator histogram changes color as a bar closes. It is an indicator-driven rule: the EA reads the color transition at the completed bar and forms a signal, with…

Valūtu tirgusTehniskie indikatoriVēsturisko datu pārbaudeRīkojumu izpilde
SuperMind

This document describes a stock-selection rule for A-shares using three conditions: price amplitude above 1%, a 2021 date filter, and best bid volume greater than best ask volume. It presents the rule as a way to identify more volatile stocks with potential…

AkcijasSvārstīgumsTirgus mikrostruktūraTehniskie indikatori
BigQuant

This Chinese-language Q&A clarifies two optional inputs for BigQuant strategy backtests or simulations. Backtest historical data is the replayed market bar data and corresponds to the data argument of the trade function. Other data input supplies external…

Vēsturisko datu pārbaudeAkcijas
Amberdata research

This market commentary interprets crypto option-implied distributions and volatility around the 2024 US election. It uses calibrated BTC options distributions to compare the market-implied chance of prices above $72,000 at the November 8 and December 27…

KriptoaktīviOpcijasSvārstīgumsAtvasināto instrumentu cenu noteikšana
OctoBot

The document explains how to create an OctoBot custom profile by duplicating an existing profile, then choosing which evaluators, strategies, and trading modes it enables. A profile’s tentacle configuration records these selections and is updated when the…

Tehniskie indikatoriKriptoaktīvi
ProRealCode

The document presents an indicator intended to display a daily SuperTrend line on a lower-timeframe chart for intraday use. It derives a daily true-range measure from daily highs, lows, and prior closes, then forms upper and lower bands around the daily…

Tehniskie indikatoriSvārstīgumsSekošana tendenceiNākotnes līgumi
SuperMind

This article describes a daily pre-market stock screen for Chinese equities. It selects stocks whose MACD value is above zero, whose trailing price-to-earnings ratio is positive, and whose observation falls in 2021. The article interprets positive MACD as an…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
ProRealCode

The document outlines a way to weight stock positions using a momentum signal and an estimate of volatility. It describes two alternatives: an exponentially weighted moving average based on squared returns, and a Yang–Zhang variation of Garman–Klass…

AkcijasCenas impulssSvārstīgumsPozīcijas apjoma noteikšana
MQL5 code base

The document describes an indicator that plots a cumulative statistical distribution of bid and ask prices. It also says the analysis can be applied to high and low prices or to open and close prices, allowing users to inspect different pairs of price series…

StatistikaTehniskie indikatoriTirgus mikrostruktūra
MQL5 code base

This brief indicator description presents RSI values for the open, high, low, and close prices together as a candle display. It describes the implementation as a lighter-resource version that uses the platform’s standard RSI calculation function. The note…

Valūtu tirgusTehniskie indikatori
BigQuant

This tutorial walks through a small Python implementation of the skip-gram model, a method for learning word vectors by predicting surrounding tokens from a center token. It represents input and output embeddings as separate matrices and uses a toy sentence…

MašīnmācīšanāsStatistika
MQL5 code base

This document is a historical trading-platform report for an EURGBP system on daily data covering October 2021 through September 2022. It lists extensive configuration settings, including ATR, ADX, moving-average periods, spread and margin limits, trend…

Valūtu tirgusVēsturisko datu pārbaudeRiska pārvaldībaPozīcijas apjoma noteikšana
SuperMind

This post proposes an equity screen combining daily range above a threshold, rising lows, and price above its five-day moving average. Its expanded version adds a longer-term trend check using the 20-day and 250-day averages, valuation limits, market-cap…

AkcijasTehniskie indikatoriCenas impulssSekošana tendencei
BigQuant

This beginner’s reflection defines quantitative investing as identifying relationships between inputs, or factors, and future returns, checking those relationships against historical data, then using current observations to estimate future opportunities. It…

AkcijasFaktoru ieguldīšanaVēsturisko datu pārbaudeMašīnmācīšanās
Amberdata research

This article recounts the 2025 Bybit theft and describes how the attackers reportedly compromised the Safe wallet interface, deceived signers, and changed the wallet implementation before moving the assets. It outlines subsequent laundering through…

KriptoaktīviBlokķēdes datiRiska pārvaldībaTirgus mikrostruktūra
SuperMind

This post describes a short-term stock screen combining three prior-day conditions: price amplitude above 1%, appearance on the market’s named trading list, and turnover above 8%. The rationale is to find shares with notable movement and active trading,…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
ProRealCode

The document describes an indicator that plots the high and low of the previous day, week, and month as reference levels for trading. Its distinctive design anchors each line at the bar where the relevant extreme occurred, conveying the level’s age and how…

Tehniskie indikatoriTirgus mikrostruktūraCenas izrāviensAtgriešanās pie vidējās vērtības