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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

FMZ forum

This article argues that grid trading can move beyond small gains by improving how the strategy handles falling markets. It describes combining suitable instrument selection, portfolio construction, dynamic grid placement, and position management to address…

Režģa tirdzniecībaKriptoaktīviRiska pārvaldībaPozīcijas apjoma noteikšana
BigQuant

This article explains a proposed arbitrage mechanism involving Chinese A-shares, stock purchases, securities borrowing, and short sales. Its example describes buying shares to push the price higher, borrowing shares to sell at that higher price, and later…

AkcijasĶīnas tirgiArbitrāžaTirgus mikrostruktūra
FMZ forum

This post presents a Pine strategy example built around three exponential moving averages. It defines a bullish condition when the shortest average is above the middle average and the middle is above the longest, and a bearish condition when that ordering is…

Tehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
SuperMind

This document outlines a Chinese stock-screening rule that combines a daily price-range threshold, a fresh two-day high, and at least two limit-up events over a 500-day lookback. It also includes a positive earnings-per-share condition. The proposed logic…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This document describes a Chinese equity screening strategy focused on companies classified in the metaverse sector. It selects stocks with actual turnover between 3% and 28% on the prior day and more than two limit-up days within a ten-day window. The…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This note outlines a short-term Chinese-equity screening idea that combines a daily price-range threshold, relative volume bounded by lower and upper limits, and a Morning Star candlestick pattern. The stated interpretation is that a wider range may identify…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
MQL5 code base

This document explains a chart utility that derives standard timeframe charts from one-minute data and can optionally recreate the one-minute volume series before conversion. A configurable parameter controls the treatment: negative values below a threshold…

Tirgus mikrostruktūraVēsturisko datu pārbaudeTehniskie indikatori
SuperMind

This note describes a Chinese-equity screen limited to the metaverse industry. It looks for stocks opening around the ten-day moving average and with prior-day actual turnover within a stated band. The intended rationale is to combine a price-position…

AkcijasTehniskie indikatoriĶīnas tirgiRiska pārvaldība
FMZ guides

This platform guide describes how to select and trade cryptocurrency options through a common trading interface. It outlines contract selection, market-data retrieval, order placement and cancellation, and position queries for Deribit and OKX. It also lists…

OpcijasKriptoaktīviAtvasināto instrumentu cenu noteikšanaRīkojumu izpilde
SuperMind

This beginner guide explains convertible bonds as debt with interest and a right to convert into shares at a specified conversion price. It distinguishes the bond’s market price, the underlying share price, and the conversion price, then illustrates how…

Fiksēta ienākuma instrumentiAkcijasAtvasināto instrumentu cenu noteikšanaRiska pārvaldība
SuperMind

This post describes a stock screen combining an RSI below 65, the product of percentage price change and net flow from very large orders, and a listing history longer than three years. It presents these filters as a way to combine a technical condition,…

AkcijasTehniskie indikatoriCenas impulssTirgus mikrostruktūra
SuperMind

This post describes a Chinese stock-selection screen for robot-related companies. Its initial criteria are strong fund flow intensity, circulating market capitalization below 10 billion yuan, and a rising 30-day moving average. The final proposed screen adds…

AkcijasCenas impulssTehniskie indikatoriFaktoru ieguldīšana
SuperMind

This post outlines a Chinese equity screen combining daily price amplitude above 1%, total market capitalization no greater than 10 billion yuan, positive net profit over the latest four quarters, and circulating market capitalization above 10 billion yuan.…

AkcijasTehniskie indikatoriRiska pārvaldība
SuperMind

This Chinese-language post describes a short-term stock screen that selects shares with turnover between 3% and 12%, a listing on the previous day’s trading榜, and an intraday amplitude above 1. It presents these as proxies for trading activity and price…

AkcijasTehniskie indikatoriCenas impulss
SuperMind

This post describes a short-horizon Chinese stock screen that ranks stocks by capital-flow strength, selects those with afternoon net inflows from large orders, and requires more than two limit-up days in the previous ten days. It suggests using turnover and…

Ķīnas tirgiAkcijasCenas impulssCenas izrāviens
BigQuant

This Chinese-language note describes a stock prediction exercise using four cross-sectional inputs: total market capitalization, turnover, trailing price-to-earnings, and quarterly net-profit year-over-year growth. It compares linear regression, XGBoost, and…

Ķīnas tirgiAkcijasFaktoru ieguldīšanaMašīnmācīšanās
Qlib

This configuration defines a Qlib workflow that trains an ordinary least squares linear model on Alpha158 features for CSI 500 stocks. The data spans 2008 through mid-2020, with training through 2014, validation in 2015–2016, and testing from 2017 onward.…

Ķīnas tirgiAkcijasMašīnmācīšanāsVēsturisko datu pārbaude
ProRealCode

The document presents a logarithmic Garman–Klass estimator that uses open, high, low, and close prices to estimate realized or historical volatility. It forms log returns for close-to-close, close-to-open, open-to-previous-close, and high-to-low moves. The…

SvārstīgumsStatistikaTehniskie indikatori
MQL5 code base

The document describes a chart indicator built around a TimeZonePivots channel. It marks candlesticks that extend beyond the channel’s upper or lower limits, using candle colors to distinguish whether the move agrees with the prevailing trend. Trend-aligned…

Tehniskie indikatoriCenas izrāviensSekošana tendencei
SuperMind

This stock screen combines three conditions: a rising 30-day moving average, a 60-day moving average below 60, and convergence among the 20-, 50-, 100-, 200-, and 60-day averages. The post frames the five averages as short-, medium-, and long-term trend…

AkcijasĶīnas tirgiTehniskie indikatoriSekošana tendencei
MQL5 code base

The document describes a MetaTrader indicator that marks five price-action concepts: breaks and changes in market structure, order blocks, fair value gaps, equal highs and lows, and buy or sell signals. Swing pivots use a configurable lookback; a break…

Tehniskie indikatoriCenas izrāviensRiska pārvaldība
MQL5 code base

This MetaTrader Expert Advisor uses a custom Breakout Bars Trend indicator to trade trend reversals. It opens a position when the indicator changes direction, or can wait until the current reversal follows a configured number of false signals. A signal is…

Valūtu tirgusSekošana tendenceiCenas izrāviensRiska pārvaldība
SuperMind

This A-share screening rule filters for turnover between 3% and 12%, excludes Beijing-listed shares, and requires 2021 revenue to exceed 2018 revenue by a factor greater than 1.1. The stated aim is to find companies with revenue growth while retaining a…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība