Pāriet uz saturu

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

SuperMind

This stock-selection rule filters for shares with daily high-low amplitude above 1%, a ten-day return above zero but below 35%, and positive PE. The stated rationale is to find stocks with some recent upward movement without selecting the largest short-term…

AkcijasCenas impulssSvārstīgumsTehniskie indikatori
SuperMind

The post outlines a daily A-share selection process that keeps stocks with MACD above its zero line, a price condition relative to the five-day moving average, and positive investor attention or “heat,” then ranks candidates by heat. It gives the standard…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

The post describes a simple Chinese A-share stock screen requiring daily high-low movement above 1%, a nonempty outstanding-convertible-bond name, and a share price around 18.5 yuan. Its final restatement widens the price condition to 18–19 yuan, while the…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
vn.py community

The post raises a futures backtesting issue: unusually large drawdowns may coincide with price gaps when the lead contract changes. The author wants to identify roll dates and avoid trading on those dates, but the post does not provide a method for detecting…

Nākotnes līgumiVēsturisko datu pārbaudeRiska pārvaldība
SuperMind

This theme-based stock screen looks for shares with turnover between 3% and 12%, a robot-related classification, floating market value below 10 billion, and a metaverse-related classification. The article supplies an example formula and Python outline. The…

AkcijasĶīnas tirgi
SuperMind

The proposed stock filter combines RSI below 65, best bid volume greater than best ask volume, and exclusion of STAR Market listings. The article interprets RSI as a way to identify relatively low-priced shares and the bid-ask size comparison as a sign of…

AkcijasTehniskie indikatoriTirgus mikrostruktūra
SuperMind

This short-term stock screen selects shares with RSI below 65, a daily gain above 1%, and eligibility outside the STAR Market segment. It adds a 15-minute MACD histogram condition: the histogram is negative and becoming less negative, which the document…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

This stock screen combines three conditions: daily high-low amplitude above 1%, closing price below 20, and displayed best bid volume greater than best ask volume. The document gives matching formula and Python examples, framing amplitude as a measure of…

AkcijasTehniskie indikatoriTirgus mikrostruktūra
vn.py community

This short support exchange explains how a VeighNa option strategy accesses its position state. A user asks whether the framework restores the previous day’s strategy positions in the same way as a combination strategy that reads saved JSON data. The…

OpcijasRiska pārvaldībaRīkojumu izpilde
SuperMind

This stock selection approach combines three technical filters: daily price amplitude above one percent, a reversal or engulfing-style candle condition, and a weekly MACD histogram at or above zero. The post presents the combination as a way to seek active…

AkcijasTehniskie indikatoriCenas impulssRiska pārvaldība
SuperMind

The document presents a Chinese-equity screening rule that combines a minimum daily amplitude, a circulating-market-cap threshold, and a morning star candlestick signal. It describes the pattern as a possible bullish reversal after a decline and provides…

AkcijasĶīnas tirgiTehniskie indikatoriVēsturisko datu pārbaude
MQL5 code base

The document outlines an exploratory method for studying whether historical indicator patterns relate to later price movement. It encodes a sequence of MACD values over a lookback window, uses that sequence to name a CSV file, and records how often the…

Tehniskie indikatoriStatistikaVēsturisko datu pārbaude
MQL5 code base

The document explains how to add notifications to a color-coded MetaTrader indicator. It introduces inputs for selecting the signal bar, enabling sound, limiting alert counts, and turning email or mobile push messages on or off. Separate buy and sell…

Tehniskie indikatoriRīkojumu izpildeValūtu tirgus
BigQuant

The document describes a stock strategy that scores candidates with a neural network, buys up to three holdings, and aims to sell each after three trading days. It stores each stock and its entry-day index in a context list, then compares that index with the…

AkcijasPozīcijas apjoma noteikšanaRīkojumu izpildeVēsturisko datu pārbaude
FMZ forum

This article presents a modified high-frequency “profit harvester” concept for a one-way crypto perpetual-futures market. It tracks recent trades and order-book prices, then compares a short-term weighted price estimate with recent highs or lows. A move…

KriptoaktīviPerpetuālie nākotnes līgumiAugstas frekvences tirdzniecībaCenas izrāviens
SuperMind

This stock-selection idea combines three daily-chart conditions: a price range above a stated threshold, at least two limit-up events during the prior 500 days, and an opening price near the ten-day moving average. The article frames range and limit-up…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
MQL5 code base

This informative chart script displays selected trading conditions for the active pair in the chart’s upper-left area. The reported fields include the order freeze level, minimum and maximum trade sizes, lot increments, the minimum distance for placing…

Rīkojumu izpildeTirgus mikrostruktūra
MQL5 code base

This MetaTrader indicator displays the direction or trade signal produced by the Stalin indicator for a chosen bar and timeframe. It marks continuing trends with a colored star and trend changes with a directional arrow, and can also issue alerts and audio…

Tehniskie indikatoriSekošana tendencei
ProRealCode

Time Segmented Volume (TSV) is a price-and-volume indicator intended to reveal accumulation and distribution. The described calculation assigns a signed volume contribution according to the direction of the close-to-close price change, then sums those…

Tehniskie indikatoriAkcijasCenas impulss
BigQuant

This weekly report assesses Chinese equity-market sentiment after a sharp March decline and a subsequent rebound. Its composite sentiment score rose from 38 to 51, while the authors judged that near-term further weakness had become less likely, despite…

AkcijasTirgus noskaņojumsNākotnes līgumiOpcijas
BigQuant

This tutorial develops a stock factor from the sum of trading volume during the first 15 minutes of a session. It explains why opening activity may be informative: overnight news is reflected in early trading, the opening period contributes to price…

AkcijasTehniskie indikatoriFaktoru ieguldīšanaAugstas frekvences tirdzniecība
BigQuant

The discussion compares quantitative research practices in China and overseas. It says Chinese investors more often try to predict stock prices directly, while overseas researchers may estimate missing observations, factor values, company revenue, or…

MašīnmācīšanāsStatistikaAkcijasĶīnas tirgi
SuperMind

This proposed Chinese equities screen selects stocks with turnover between 3% and 12%, an opening price within 5% of the 10-day moving average, and a recent seven-day low condition. The post presents the combination as a way to find active stocks amid a…

AkcijasĶīnas tirgiTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This post proposes screening Chinese equities using three conditions: buying-pressure share above a threshold, prior-day turnover value above a threshold, and a high dividend ratio in a specified historical year. It frames buying pressure as a sign of…

AkcijasĶīnas tirgiFaktoru ieguldīšanaVēsturisko datu pārbaude