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: 7,910

Strategy library

This document describes a two-sided crypto futures system that holds long and short exposure and seeks to follow strong moves. It discusses adding to a position when price reverses, then clearing all positions when combined theoretical and floating profit…

KriptoaktīviNākotnes līgumiSekošana tendenceiRežģa tirdzniecība
Strategy library

This configurable strategy uses the midpoint of high and low EMA bands to define trend direction. A move above the middle band can trigger a long entry, while a move below it can trigger a short. Optional settings add a slower EMA direction filter or allow…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines price and trading-volume breakouts with a simple moving average (SMA) filter. It opens a long position when the close exceeds the prior price-window high, volume exceeds its prior window high, and price is above the SMA. A short entry…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens
Strategy library

This BTC futures strategy combines EMA direction, higher-timeframe price zones, volume confirmation, and ATR-based exit levels. In the stated long setup, the 9- and 15-period EMAs rise for three periods, price is above the demand zone, and the 20-period…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy uses a rolling highest-high and lowest-low channel to define breakout levels. A close above the prior channel high signals a long position, while a close below the prior channel low signals a short position; the default channel length is 20…

KriptoaktīviNākotnes līgumiCenas izrāviensSekošana tendencei
Strategy library

This brief describes an exchange-running market-making tool that reads the current price and places buy and sell orders to add visible order-book depth. It also mentions copying another market’s price action or using another trend as a reference. The…

KriptoaktīviTirgus veidošanaTirgus mikrostruktūraRīkojumu izpilde
Strategy library

This BTC futures strategy combines fast and slow exponential moving averages with MACD crossovers to identify directional changes. It takes a long position when both indicators cross upward and RSI is above the oversold threshold; it takes a short position…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas impulss
Strategy library

This library provides helper routines for opening and reducing long or short cryptocurrency futures positions. The opening routine reads the existing position, submits orders with a configurable price offset, checks position changes, and cancels outstanding…

KriptoaktīviNākotnes līgumiRīkojumu izpildePozīcijas apjoma noteikšana
Strategy library

This QuantConnect example demonstrates scheduling callbacks with date rules and time rules. It shows one-time events, daily callbacks timed relative to a security’s market open or close, weekday schedules, recurring intervals, and a month-start event. The…

AkcijasRiska pārvaldībaRīkojumu izpilde
Strategy library

D-Man Maker V2 configures a market-making controller that places maker-side dollar-cost-averaging orders at progressively wider price offsets. For buys, levels are set below the reference price; for sells, they are set above it. Configurable spreads and…

Tirgus veidošanaRežģa tirdzniecībaRīkojumu izpildeRiska pārvaldība
Strategy library

Volume Flow v3 separates volume on rising candles from volume on falling candles, then smooths each series with a selectable simple, exponential, or double exponential moving average. The difference between those averages indicates which side has had greater…

Tehniskie indikatoriNākotnes līgumiKriptoaktīviCenas izrāviens
Strategy library

This strategy compares 14-period RSI readings from 15-minute, hourly, and four-hour charts. The accompanying explanation describes using the shorter-period RSI relative to the two longer readings to assess alignment, with extreme readings around 30 and 70 as…

Tehniskie indikatoriVairāku aktīvu tirdzniecībaNākotnes līgumiAtgriešanās pie vidējās vērtības
Strategy library

This strategy combines moving-average direction, MACD momentum, and RSI strength to trigger trades only when all three signals align. It enters long when the faster EMA crosses above the slower EMA while MACD is above its signal line and RSI is above the…

Tehniskie indikatoriSekošana tendenceiCenas impulssRiska pārvaldība
Strategy library

The strategy uses configurable fast, slow, and exit moving averages, each selectable from simple, exponential, weighted, or Hull types. A long entry requires price to cross above the fast average while price remains above the exit average and the fast…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This strategy for a gold futures contract combines candle structure, relative volume, a moving-average trend filter, and time-of-day restrictions. A long setup requires a bullish candle that encompasses the prior bar’s range, closes above the prior open, and…

Nākotnes līgumiIzejvielasTehniskie indikatoriCenas impulss
Strategy library

This technical strategy plots Parabolic SAR and builds an envelope around its EMA using a multiple of the SAR series’ standard deviation. A long signal occurs when SAR crosses above the lower deviation line, while a short signal occurs when SAR crosses below…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSvārstīgums
Strategy library

This example implements a simple long-only Bollinger Band strategy within a reusable trading framework. It buys when the latest close moves above the lower band after the prior close was below it, then sells when the close moves above the upper band after…

KriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatoriRīkojumu izpilde
Strategy library

This strategy uses the CCT Bollinger Band Oscillator, calculated from a price series, and its EMA to generate reversal trades. It enters long when the oscillator crosses above its EMA by more than a specified margin, and short when it crosses below by more…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This example builds a monthly rebalanced U.S. common-stock portfolio. Its pipeline screens for stocks in the middle portion of a 90-day average dollar-volume ranking and, when the fee limit is enabled, excludes names whose recorded borrow fee exceeds the…

AkcijasPozīcijas apjoma noteikšanaRīkojumu izpildeASV tirgi
Strategy library

This script defines an inside day by checking whether the prior daily high and low both fall within the daily range from two days earlier. When that condition holds, it places stop entries at the prior day's high and low, subject to a selectable…

Cenas izrāviensNākotnes līgumiSvārstīgumsPozīcijas apjoma noteikšana
Strategy library

This strategy combines a pivot-based SuperTrend with a double exponential moving average (DEMA) to form directional signals. The SuperTrend is built from pivot highs and lows, adjusted using average true range (ATR), and maintained as a trailing level. The…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This system combines Bollinger Bands with the Chande Momentum Oscillator (CMO) to identify potential reversals from extreme price moves. It uses a 20-period moving average with bands two standard deviations away, alongside a 14-period CMO with stated…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasCenas impulss
Strategy library

This document describes a live dashboard for comparing funding rates across Binance, Huobi, OKEX, Gate, and Bybit. It gathers rates for symbols quoted in USDT, converts them to percentage values, associates rates with symbols, and displays each venue's rate…

KriptoaktīviNākotnes līgumiPerpetuālie nākotnes līgumiStatistika
Strategy library

This strategy combines RSI, MACD, and Stochastic signals to generate directional trades, then sets profit targets and stop losses as percentages of average entry price. Its stated long condition requires all three indicator crossover signals, while the short…

Tehniskie indikatoriCenas impulssRiska pārvaldībaPozīcijas apjoma noteikšana