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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
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SuperMind
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Lumibot
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Kraken Learn
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Kvantitatīvās tirdzniecības kursu bibliotēka
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OctoBot
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Cryptohopper blog
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Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
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TqSdk
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Quantpedia
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Hyperliquid docs
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Freqtrade
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Hudson & Thames
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Awesome Systematic Trading
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backtrader
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vn.py
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Quantopian lekcijas
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Binance API docs
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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Alphalens
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WonderTrader
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backtesting.py
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Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
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Meklēt bibliotēkā

Dokumentu skaits: 79,386

MQL5 code base

The Didi Index is described as a moving-average indicator developed by Brazilian analyst Odir Aguiar. It uses three moving averages, including periods of 8 and 20, arranged around a zero center line. Its “needles” form when the averages converge near that…

Tehniskie indikatori
SuperMind

This equity screen combines an RSI below 65 with three consecutive down sessions and more than two limit-up days in a ten-day window. The stated idea is to find stocks showing recent weakness while also having a record of sharp upward moves, which the author…

AkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtībasĶīnas tirgi
SuperMind

This equity screening approach combines three filters: at least two limit-up sessions within the prior 500 days, weekly MACD above zero, and high fund-flow strength. The note describes fund-flow strength through activity measures such as turnover or volume…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
MQL5 code base

This indicator description adds a three-level trend-strength display to the i-CAi indicator. It calculates standard deviation and compares it with two user-set thresholds. When the value falls between the thresholds, a small colored dot appears on the moving…

Tehniskie indikatoriStatistikaSekošana tendencei
SuperMind

This Chinese-language note describes an equity screening rule combining daily price amplitude, a weekly moving-average crossover, and a ranking by stock heat. It selects stocks with amplitude above 1% and a weekly five-period moving average crossing above…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
Amberdata research

This market snapshot connects crypto news and on-chain activity with spot-market, decentralized exchange, lending, and network indicators. It notes that BTC and ETH pairs remained prominent in centralized exchange dollar volume, while Binance’s share of…

KriptoaktīviTūlītējo darījumu tirgiDeFiTirgus mikrostruktūra
FMZ forum

This essay argues that a trading system only helps when a trader can follow it and its demands fit the trader’s goals, temperament, and market. It outlines four recurring price structures—triangular consolidations, directional channels, ranges, and expanding…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
BigQuant

This weekly report describes two event-driven approaches to Chinese equities. The product-price strategy tracks listed companies’ main product prices and flags cases where a clear price increase has not yet been reflected in share prices. It is updated…

AkcijasĶīnas tirgiUz notikumiem balstīta tirdzniecībaTirgus noskaņojums
SuperMind

This note proposes an equity screen combining turnover with a rising DEA signal. It describes an initial turnover range of 3% to 12%, an additional condition requiring turnover between 2% and 9%, and a bullish DEA condition expressed through moving-average…

AkcijasCenas impulssTehniskie indikatori
BigQuant

This forum post documents a failure in a stock strategy’s trailing-stop routine. The routine reads each position’s last sale date, subtracts it from the current date to estimate holding days, and uses that value as the bar count when requesting historical…

AkcijasRiska pārvaldībaRīkojumu izpilde
SuperMind

This note describes an equity screen that ranks stocks by a capital-strength measure, such as turnover or volume ratio, and filters for turnover between 2% and 9%. It also requires the 20-day moving average to be above the 120-day moving average, using the…

AkcijasSekošana tendenceiTehniskie indikatoriRiska pārvaldība
MQL5 code base

This brief description introduces a two moving average crossover strategy. A trader chooses a shorter and a longer averaging period, then uses their intersection to identify a possible position entry. It gives a 50-day and 200-day pair as an example, but…

Tehniskie indikatoriSekošana tendenceiAkcijasRiska pārvaldība
OctoBot

This guide explains a dollar-cost averaging trading mode for placing repeat entries and managing the resulting positions. Entries can be triggered on a schedule or when an evaluator produces a new maximum signal, defined as a value of -1 or 1. The guide says…

KriptoaktīviTūlītējo darījumu tirgiNākotnes līgumiRīkojumu izpilde
BigQuant

This brief Chinese-language page introduces a portfolio optimizer as a mathematical tool for selecting and weighting assets subject to constraints. It identifies three possible objectives: maximizing expected return, minimizing risk, or balancing the two.…

Portfeļa veidošanaRiska pārvaldība
ProRealCode

The document describes CoRa_Wave, a moving average that assigns weights through a compound-ratio progression. The weights rise from older observations to newer ones with a consistent step ratio, unlike the linear sequence used by a conventional weighted…

Tehniskie indikatoriStatistika
SuperMind

The described screen combines technical, valuation, and recent-return conditions for Shenzhen mainboard stocks. It seeks shares with at least five moving averages aligned or clustered, a price-to-earnings ratio from 0 to about 29, a price-to-book ratio from…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This proposed stock screen excludes Beijing-listed shares, keeps stocks whose high-to-low amplitude exceeds 1%, and ranks the remaining names by that day’s opening-auction traded value. It selects the top five, making auction activity the ranking signal and…

AkcijasĶīnas tirgiSvārstīgumsTirgus mikrostruktūra
SuperMind

This stock-selection rule targets mainland Chinese mainboard equities with turnover between 3% and 12%, first-level bid volume greater than first-level ask volume, and a daily gain above 1%. The proposed screen combines a turnover range intended to capture…

AkcijasĶīnas tirgiCenas impulssTirgus mikrostruktūra
MQL5 code base

This document describes an Expert Advisor that trades signals from the custom BullsBearsEyes indicator. It opens a buy when the indicator value on the prior bar is 0.0 and a sell when that value is 1.0. The EA includes configurable stop-loss, take-profit,…

Tehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
BigQuant

The document addresses a conflict between stop-loss logic and a machine-learning strategy's next-day buy list. A stock may be sold when it reaches a trailing stop, then selected again by the model on the following trading day. The proposed fix is to track…

MašīnmācīšanāsRiska pārvaldībaAkcijas
MQL5 code base

The document outlines a simple technical signal concept that combines a detector for consecutive candles with relative strength index levels. The user-configurable settings are the number of consecutive candles required to qualify as a signal, an RSI…

Tehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtības
SuperMind

The document describes a Chinese equity screen for companies in the metaverse theme, with a minimum circulating market capitalization and positive price-to-earnings ratio. It presents the positive PE condition as a basic profitability filter and the size…

AkcijasĶīnas tirgiFaktoru ieguldīšanaStatistika
Amberdata research

The document introduces derivatives data views for examining options on IBIT and MSTR. It describes using long-dated at-the-money implied volatility and term structures with forward volatility to inspect how option pricing changes across maturities. It also…

OpcijasSvārstīgumsKriptoaktīviAtvasināto instrumentu cenu noteikšana