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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: 12,226

SuperMind

This Chinese equity screen combines a daily amplitude threshold and a measure called today’s control level with return on equity above 15% in each of the past five years. Its proposed expanded version adds a dividend yield above the market average, positive…

AkcijasĶīnas tirgiFaktoru ieguldīšanaRiska pārvaldība
SuperMind

This stock screen selects companies classified in China’s metaverse industry when the opening price is near the 10-day moving average and circulating market value exceeds 10 billion yuan. The article presents both a formula-based screen and a Python example.…

AkcijasĶīnas tirgiTehniskie indikatoriPozīcijas apjoma noteikšana
SuperMind

This proposed A-share screen combines RSI below 65 with three consecutive sessions closing below their opens, plus positive large-order buying indicators and a stated threshold for aggregate exceptional-order buying. The article interprets RSI as a measure…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

This A-share selection recipe targets companies with market capitalization below 10 billion yuan, turnover between 3% and 12%, and no losses, then applies a price condition intended to identify the start of a strong upward move. The example formula compares…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This proposed A-share screen combines RSI below 65, at least two limit-up sessions within the prior 500 days, and shortening negative MACD histogram bars on a 15-minute chart. The author frames the conditions as a way to narrow the universe for possible…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This A-share screening idea combines daily price amplitude above 1, a positive weekly MACD signal, and year-over-year growth in net profit attributable to parent-company shareholders between 20% and 100%. The author presents it as a way to pair a technical…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi
SuperMind

This tutorial demonstrates repeatedly querying a stock-screening service for the twenty stocks currently ranked highest by popularity, printing the returned stock codes with a timestamp, and waiting three seconds before querying again. It presents a minimal…

AkcijasRīkojumu izpildeĶīnas tirgi
SuperMind

This A-share screening approach combines a turnover-rate band of 3% to 12%, a newly formed KDJ golden cross, and positive price-to-earnings ratio. The article frames these filters as checks for trading activity, a possible upward price move, and positive…

Ķīnas tirgiAkcijasTehniskie indikatoriCenas impulss
SuperMind

This Chinese-language post presents an equity screening idea combining amplitude above 1, a rounded price pattern, market capitalization below 10 billion yuan, and no recent losses. It explains the intended rationale: price movement may offer short-term…

AkcijasTehniskie indikatoriStatistikaĶīnas tirgi
SuperMind

This Chinese equity screen combines three daily price conditions: an amplitude above 1%, a session low below the previous session’s low, and an opening gain below 6% in absolute terms. The post interprets the combination as a way to find volatile stocks that…

Ķīnas tirgiAkcijasTehniskie indikatoriSvārstīgums
SuperMind

This Chinese equity screen combines a 14-period RSI below 65, a three-session candle condition, and a concentration measure below 20%. It also includes a nonnegative trailing earnings filter in its sample formula. The post presents the conditions as a way to…

Ķīnas tirgiAkcijasTehniskie indikatoriAtgriešanās pie vidējās vērtības
SuperMind

This Chinese equity screen combines a 3%–12% turnover range with robot-concept membership and a circulating market value below 10 billion yuan. It also excludes stocks that hit the upper price limit on the previous day. The accompanying discussion frames…

Ķīnas tirgiAkcijasTehniskie indikatori
SuperMind

This Chinese A-share screen combines three daily conditions: RSI below 65, seven consecutive sessions with bearish candles, and MACD above zero. The article describes the combination as a short- to medium-term selection rule: the run of bearish candles…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen selects Chinese A-shares listed in 2021, excludes Beijing-listed shares, and requires turnover to fall between 3% and 12%. The article presents the rule as a basic quantitative selection filter and includes references to implementing it in…

AkcijasĶīnas tirgiTehniskie indikatoriStatistika
SuperMind

This stock-screening idea combines three conditions: an amplitude threshold, a rounded price pattern over recent sessions, and net inflow from large orders in the afternoon. The post presents the combination as a way to find relatively orderly stocks with…

AkcijasTehniskie indikatoriTirgus noskaņojumsĶīnas tirgi
SuperMind

The proposed stock screen selects shares with daily amplitude above 1, an absolute daily change in controlling-shareholder holdings above 21, and exclusion of the STAR Market. It gives corresponding formula and Python examples for applying these filters. The…

AkcijasĶīnas tirgiTehniskie indikatori
SuperMind

This Chinese stock-selection rule combines amplitude above one, successively rising bottom levels, and a MACD reading below zero from two sessions earlier. The intended setup uses rising lows as a sign of improving price structure while retaining a lagged…

AkcijasĶīnas tirgiCenas impulssTehniskie indikatori
SuperMind

This Chinese equity screen combines three conditions: amplitude above one percent, freely tradable shares of no more than 5.5 billion, and three consecutive declining closes. The article interprets high amplitude as a way to find more active stocks, the…

AkcijasĶīnas tirgiAtgriešanās pie vidējās vērtībasTehniskie indikatori
SuperMind

This stock screen targets Chinese A shares with daily amplitude above one percent, a robot-related concept classification, and circulating market capitalization below 10 billion yuan, while excluding Beijing-listed shares. The article presents the conditions…

AkcijasĶīnas tirgiTehniskie indikatoriRiska pārvaldība
SuperMind

This stock screen combines three conditions: a limit-up event within the prior 25 days, ranking by capital strength, and shortening green bars on a 15-minute MACD display. The article describes capital strength using measures such as turnover or volume ratio…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This screening method combines a daily price-range threshold with newly formed bullish crossovers in KDJ, MACD, DMI, and RSI. In the stated logic, the KDJ signal compares J with D; MACD and DMI use their respective component lines; RSI requires…

AkcijasĶīnas tirgiTehniskie indikatoriCenas impulss
SuperMind

This stock screen targets companies in the metaverse industry that recorded at least one limit-up move in the prior 25 days. It ranks candidates by capital strength and is intended to run before 10 a.m. for that day’s trading. The article provides a…

AkcijasĶīnas tirgiCenas izrāviensCenas impulss
SuperMind

The strategy screens for stocks with at least five overlapping moving averages, a closing price between the Bollinger middle and upper bands, and a 20-day moving average above the 120-day average. The moving-average relationship is intended to capture a more…

AkcijasTehniskie indikatoriSekošana tendenceiĶīnas tirgi
SuperMind

This stock screen combines three filters: MACD above zero, an eligible company type, and a prior-session high–low range greater than one. The document presents the positive MACD reading as a sign of bullish direction and the range condition as a way to…

AkcijasTehniskie indikatoriCenas impulssĶīnas tirgi