Hoppa till innehåll

Kunskapsbibliotek

Sammanfattningar och huvudidéer från böcker, artiklar, forskningsrapporter och kod som våra AI-agenter har läst, skrivna av Stratmills researchagent. Varje sida länkar till originalet.

Quant Q&A
20,364 dokument
SuperMind
12,226 dokument
OKX Learn
8,431 dokument
Strategy library
7,910 dokument
MQL5 code base
7,090 dokument
BigQuant
3,481 dokument
Bitget Academy
3,298 dokument
MQL5 articles
3,012 dokument
TradingView scripts
1,976 dokument
ProRealCode
1,507 dokument
Deribit Insights
1,232 dokument
Machine Learning for Trading
1,124 dokument
arXiv papers
1,033 dokument
Amberdata research
766 dokument
FMZ forum
682 dokument
FMZ digest
662 dokument
vn.py community
560 dokument
QuantInsti blog
511 dokument
Galaxy Research
340 dokument
QuantStart
246 dokument
Stratmill research code
219 dokument
Robot Wealth
195 dokument
NautilusTrader
191 dokument
Hummingbot docs
181 dokument
Paradigm research
175 dokument
Lumibot
164 dokument
Kraken Learn
163 dokument
Kursbibliotek för kvantitativ handel
157 dokument
OctoBot
152 dokument
Cryptohopper blog
144 dokument
Systematic trading blog (Rob Carver)
132 dokument
Qlib
116 dokument
TqSdk
86 dokument
Quantpedia
86 dokument
Hyperliquid docs
79 dokument
Freqtrade
68 dokument
Hudson & Thames
62 dokument
Awesome Systematic Trading
61 dokument
backtrader
54 dokument
vn.py
50 dokument
Binance API docs
45 dokument
Quantopian-föreläsningar
45 dokument
FMZ guides
38 dokument
pysystemtrade
34 dokument
Freqtrade docs
32 dokument
quant-trading
31 dokument
FinRL
28 dokument
Zipline
22 dokument
FMZ live strategies
21 dokument
Jesse
17 dokument
pyfolio
16 dokument
Alphalens
14 dokument
WonderTrader
14 dokument
backtesting.py
11 dokument
Technical Analysis
9 dokument
QTPyLib
8 dokument
QuantRocket
7 dokument
Lumibot strategies
7 dokument
Awesome Quant
1 dokument

Sök i biblioteket

79,386 dokument

FMZ forum

This beginner tutorial introduces how to write automated trading strategies on the FMZ Quant platform. It explains the difference between REST requests and WebSocket subscriptions, describes the platform’s unified exchange API, and compares supported…

KryptoOrderutförandeBacktestningMarknadsmikrostruktur
SuperMind

This post outlines an A-share screen that combines RSI below 65, parent-company net profit growth above 20% and no more than 100%, and three consecutive declining sessions. It presents the combination as a way to identify stocks with both technical weakness…

AktierTekniska indikatorerMomentumRiskhantering
SuperMind

This post proposes an A-share stock screen combining a daily price range of at least one percent with a volume ratio between 1.5 and 6. It also applies two concentration-related filters based on circulating market value and total shares. The rationale is to…

AktierVolatilitetTekniska indikatorerRiskhantering
MQL5 code base

This trading-tool description argues that viewing positions and risk as percentages can help traders manage emotions and apply a consistent plan. It illustrates how traders following the same plan may make different decisions, such as holding losing…

RiskhanteringPositionsstorlek
BigQuant

This forum post asks about a “Golden Cross Winner” ETF strategy that uses an unusual MACD-style calculation. The author questions why the signal line, DEA, is calculated as a 26-period exponential moving average of DIF instead of the commonly cited 9-period…

AktierTekniska indikatorerBacktestningStatistik
SuperMind

This Chinese-language post proposes screening stocks for amplitude above 1, simultaneous bullish crossovers among three moving averages, and an upward-trending 30-day average. It frames the criteria as combining price movement, technical signals, and a…

AktierTekniska indikatorerTrendföljningBacktestning
SuperMind

This stock screen targets companies classified in the metaverse theme that recorded at least one limit-up event within the prior 25 days, while excluding Beijing-listed A-shares. The post presents this as a way to identify candidates with potential short- to…

AktierKinesiska marknaderUtbrottTekniska indikatorer
SuperMind

This stock-selection example combines a relative strength index below 65 with a rise in current volume relative to the prior session, then applies a 2021 date condition. The post frames the RSI threshold as identifying weaker stocks and the volume condition…

AktierKinesiska marknaderTekniska indikatorerMomentum
Amberdata research

The article describes how historical crypto options data can support market research, algorithm development, and portfolio management. It identifies implied volatility, realized volatility, open interest, put/call ratios, price and volume records, and order…

KryptoOptionerVolatilitetBacktestning
ProRealCode

Haos Visual is described as a zero-centered histogram indicator built from two Williams %R oscillators smoothed with T3 calculations using different lookback periods. The shorter oscillator uses a 14-period Williams %R input, while the slower one uses a…

Tekniska indikatorerMedelvärdesåtergångVolatilitetTrendföljning
MQL5 code base

This document introduces an indicator that plots two channels of moving averages derived from high and low prices. Users can configure a fast and a slow channel by choosing the period and calculation method for each moving average. The examples illustrate…

Tekniska indikatorerTrendföljning
FMZ forum

This translated discussion distinguishes the apparent simplicity of a trading rule from the difficulty of implementing and validating it. A basic buy-low, sell-high idea may be easy to state, but high-frequency firms must receive market data, calculate, and…

HögfrekvenshandelBacktestningStatistikOrderutförande
SuperMind

This document describes a daily stock screen for companies classified in the metaverse industry. It selects stocks with a newly formed KDJ bullish crossover and a positive price-to-earnings ratio, then limits candidates to actively trading stocks identified…

AktierKinesiska marknaderTekniska indikatorerMomentum
NautilusTrader

The script runs an EMA-crossover backtest on USD/JPY five-minute bid bars built from one-minute FXCM data. It configures a simulated margin venue, balances, fees, rollover interest, and probabilistic fills, then collects bars and fills from the engine. The…

ValutahandelTekniska indikatorerBacktestningOrderutförande
SuperMind

The document outlines a Chinese A-share stock screen that combines RSI below 65, an external-to-internal trade ratio above 1.3, and recent consecutive limit-up activity. It interprets the RSI threshold as avoiding an overbought condition, the trade ratio as…

AktierTekniska indikatorerMomentumKinesiska marknader
vn.py community

This forum exchange documents a connection problem between VeighNa's CTP interface and a Guangfa Futures simulation system. The user reports running a newer CTP interface build than the simulation system's stated version; connections to another simulation…

TerminerOrderutförande
SuperMind

This post outlines a Chinese equities screen that selects stocks with a stated amplitude above 1, a price below 20, and positive net buying attributed to major participants during the opening auction. It provides example indicator and Python-style…

Kinesiska marknaderAktierTekniska indikatorerMarknadsmikrostruktur
SuperMind

This post describes a Chinese equities screening idea intended for use before 10 a.m. It combines a price ceiling below 20, a minimum amplitude threshold, exclusion of stocks marked ST, and a five-part limit-up method. The post also offers example formulas…

Kinesiska marknaderAktierTekniska indikatorerBacktestning
ProRealCode

This indicator automatically draws horizontal reference levels near the current Forex price. It rounds the close to a nearby base level, then checks whether adjacent levels fall within a specified distance before drawing them. It uses one rounding scale for…

ValutahandelTekniska indikatorer
Alphalens

This Python utility collection supports quantitative factor analysis. It assigns factor observations to quantile or value-based bins, with options to bucket within groups or separate positive and negative signals. It also infers a trading calendar from…

FaktorinvesteringBacktestningStatistik
BigQuant

This introductory guide outlines a retail trader’s path into quantitative trading. It describes using market data and mathematical models to generate decisions, learning market concepts and a programming language, building models from historical data, and…

BacktestningRiskhanteringPositionsstorlekPortföljkonstruktion
MQL5 code base

This indicator is a visual aid for reviewing trades produced by a strategy tester. It reads graphical objects created by the tester and changes which objects are displayed, while retaining their names and coordinates. Because it works with those existing…

BacktestningTekniska indikatorer
MQL5 code base

This indicator describes a breakout approach built around a channel drawn through peaks from a Zigzag2_R indicator. It generates alerts when price moves outside the channel, with the stated purpose of signaling a possible change in direction. After a…

UtbrottTekniska indikatorerTrendföljning