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
Quantpedia
Dokumentu skaits: 86
TqSdk
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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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

The proposed Chinese equity screen selects stocks with daily amplitude above 1, turnover between 2% and 9%, and a stated share-float ceiling of 5.5 billion shares. The intended rationale is to find stocks with notable price movement and trading activity…

AkcijasĶīnas tirgiSvārstīgumsTehniskie indikatori
MQL5 code base

The document describes an indicator that derives an index for 49 currency pairs from price indexes for seven currencies. It also reports timeframe-specific trend readings calculated with MACD and generates buy, sell, or wait suggestions using moving…

Valūtu tirgusTehniskie indikatori
MQL5 code base

This indicator plots a moving average of the difference between closing and low prices, normalized relative to Average True Range. It displays overbought and oversold thresholds in a separate chart window. Its inputs let the user choose the calculation…

Tehniskie indikatoriSvārstīgumsAtgriešanās pie vidējās vērtības
FMZ forum

R-Breaker uses the previous session’s high, low, and close to calculate six reference levels for the current session. The document contrasts this setup with conventional pivot points and describes a hybrid approach: reversal trades are considered when price…

Valūtu tirgusTehniskie indikatoriCenas izrāviensAtgriešanās pie vidējās vērtības
MQL5 code base

This document describes a technical indicator that applies exponential moving average smoothing five times. It accepts a real-valued period and allows the resulting indicator to be shifted horizontally or vertically, giving users control over its display or…

Tehniskie indikatoriSekošana tendencei
SuperMind

The document outlines a Chinese equity screening approach that starts with price amplitude, a minimum market capitalization, and a comparison of 2021 revenue with 2018 revenue. It discusses limitations of relying on revenue growth alone, including omitted…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
ProRealCode

Kaufman’s Adaptive Moving Average (KAMA) adjusts its smoothing in response to the market’s directional efficiency. The described calculation compares the absolute price change over a lookback interval with the sum of absolute one-step price changes over that…

Tehniskie indikatoriSekošana tendenceiStatistika
BigQuant

This BigQuant example shows how a China stock universe selector can be connected to a trading engine that reads a daily signal table. The engine filters rows to the current date, closes existing positions once the elapsed time since their last sale reaches…

Ķīnas tirgiAkcijasRīkojumu izpildePozīcijas apjoma noteikšana
MQL5 code base

The Elastic Volume Weighted Moving Average (EVWMA) is presented as a trend indicator that adapts its averaging behavior to market conditions. Instead of using a fixed averaging period, it uses volume or time, incorporating volume information into the moving…

Tehniskie indikatoriSekošana tendenceiValūtu tirgus
ProRealCode

The document presents an indicator that draws Heikin-Ashi candles and marks narrow-body candles as potential dojis. It distinguishes an upward case, a downward case, and an undecided case, using the relationship between the Heikin-Ashi and regular candle…

Tehniskie indikatoriSvārstīgumsAkcijas
SuperMind

This post proposes screening Chinese A-shares in the metaverse sector using a maximum circulating share count of 5.5 billion and previous-day turnover above 8%. The strategy is intended to focus on companies with a moderate float and active trading. Its…

AkcijasĶīnas tirgiTirgus mikrostruktūra
vn.py community

A user describes running one VeighNa process and one strategy connected to two SimNow futures accounts through separate CTP gateways. Both accounts return order acknowledgements, and the second account appears to have executed trades when checked in another…

Nākotnes līgumiRīkojumu izpildeTirgus mikrostruktūra
SuperMind

This post outlines a daily, after-close stock screen combining positive MACD conditions with beverage import and export data, then ranking qualifying shares by market attention. Its rationale is that MACD may indicate upward momentum, while attention and…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This Chinese-language post proposes a daily stock screen combining price amplitude above 1%, a controlling-shareholder measure above 21%, and an upward relationship between short and longer moving averages. Its examples describe the moving-average condition…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
MQL5 code base

The document describes a collection of scripts for closing orders by comment, profit or loss threshold, magic number, order type, or symbol. A combined script supports the criteria offered by the individual tools. This is operational guidance for managing…

Rīkojumu izpildeRiska pārvaldība
OctoBot

Grid trading places a series of buy and sell orders at set price intervals. As the market moves through those levels, orders can buy at lower prices and sell at higher ones. The approach seeks to collect gains from price fluctuations without relying on a…

Režģa tirdzniecībaSvārstīgumsRīkojumu izpildeRiska pārvaldība
SuperMind

This document describes an A-share momentum screen requiring turnover from 3% to 12%, a rising DEA indicator, and a daily price gain above 1%. Its stated rationale is to combine recent price direction with a turnover filter representing trading activity. It…

AkcijasCenas impulssTehniskie indikatoriĶīnas tirgi
SuperMind

This document presents an A-share stock screen requiring turnover between 3% and 12%, seven consecutive daily declines, and a weekly price crossover above a 30-week reference line. It combines a trading-activity filter with a short-term losing streak and a…

AkcijasTehniskie indikatoriĶīnas tirgi
SuperMind

This document describes a daily A-share screening rule combining a positive MACD condition, a share price below 12 yuan, and a maximum daily decline between 4% and 5%. It says to run the screen before 10 a.m. each trading day. The intended idea is to combine…

AkcijasTehniskie indikatoriĶīnas tirgi
MQL5 code base

The document describes a trading utility with a single action for closing positions and managing pending orders. Its settings determine whether it acts only on the currency pair associated with the chart or across all pairs, whether it closes only manually…

Valūtu tirgusRīkojumu izpilde
Lumibot

The document contrasts OpenAlice, presented as an AI agent for researching and managing trades across a full lifecycle, with LumiBot, a Python framework for building trading strategies. LumiBot can support deterministic strategies, individual AI agents, or…

MašīnmācīšanāsVēsturisko datu pārbaudeRiska pārvaldībaRīkojumu izpilde
MQL5 code base

The document describes OsmaX, a modification of the standard MACD oscillator. It calculates fast and slow exponential moving averages from a selected price, subtracts the slow average from the fast one to form MACD, then subtracts an EMA signal line from…

Tehniskie indikatori
SuperMind

This Chinese equity screen looks for stocks whose codes begin with 60, whose daily high-to-low range exceeds 1% of the opening price, and whose weekly candle is bullish, meaning the weekly close is above the weekly open. The article’s example also sorts…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screen selects stocks associated with the robotics theme, with a stated free-float market value below 10 billion yuan and daily turnover between 3% and 12%. It also requires the current day’s low to be below the prior day’s low, then…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori