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 strategy offers two independently switchable signal modules. Its momentum module enters long or short on crossovers between a 50-period and 400-period EMA. Its mean-reversion module uses 20-period Bollinger Bands with a two-standard-deviation width: the…

Nākotnes līgumiKriptoaktīviCenas impulssAtgriešanās pie vidējās vērtības
Strategy library

This Bitcoin strategy combines two simple moving average relationships with a longer trend filter. It enters long when the fast average is above the slow average and the closing price is above the trend average; it enters short when the fast average is below…

KriptoaktīviSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This trend-following strategy uses Ichimoku cloud boundaries to identify breakouts. It enters long when price crosses above the upper cloud boundary and short when price crosses below the lower boundary. The described Ichimoku components include the…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This document presents an implementation framework for calculating Stochastic RSI from price records. It first obtains RSI, then compares each value with the rolling RSI high and low over a selected lookback window. Moving averages smooth the resulting…

Tehniskie indikatoriStatistikaTūlītējo darījumu tirgi
Strategy library

This strategy combines a 50-period and 100-period EMA crossover with a longer-term EMA trend filter and Stochastic RSI. It enters long when the shorter EMA crosses above the longer one while the 50-, 100-, and 200-period EMAs are aligned upward, price…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines Supertrend direction with RSI as a confirmation filter. It opens a long position when Supertrend is bullish and RSI is above 50, and opens a short position when Supertrend is bearish and RSI is below 50. The script sets an ATR period…

Sekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This trend-following approach compares 20-period and 50-period exponential moving averages. A crossover to the upside signals a long position, while a downward crossover signals a short position; the opposite crossover closes the existing position and can…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

The document presents a trend-following approach that describes confirming Hull moving-average crossovers with EMA direction and using candle-body channels to avoid entries during consolidation. The accompanying code, however, bases its actual long and short…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiCenas izrāviens
Strategy library

This strategy combines eight smoothed indicator signals to estimate trend direction: moving-average direction, KD, price-volume divergence, channel breaks, a multi-timeframe signal, Percent R, moving-average reversion, and ATR-channel breaks. Their weighted…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This Nasdaq-100 strategy combines weekly and monthly price data. It enters long when the weekly close crosses above the 10-month simple moving average and is also above the weekly 200-period exponential moving average. It closes the position when the monthly…

AkcijasASV tirgiSekošana tendenceiTehniskie indikatori
Strategy library

The script plots a Hull moving average and a modified Hull-based series on a selectable timeframe, alongside a linear regression of closing prices. It marks a buy when the regression line crosses above the modified series and a sell when it crosses below;…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiVēsturisko datu pārbaude
Strategy library

This long-only strategy seeks rebounds after a 14-period RSI crosses below 28.5. It adds positions progressively, sizing each entry at 6.6% of account equity and allowing up to 15 additions. When price reaches a target 900% above the average entry price, it…

KriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

The document describes a trend-following approach that enters long when a 10-period simple moving average crosses above a 50-period average, and short when it crosses below. It uses a 14-period average true range multiplied by 1.5 to set stop and profit…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy seeks sharp price moves in either direction using three-hour data resampled from a one-hour chart. It calculates a 14-period average true range multiplied by two, then enters long when the close rises more than the prior ATR or short when it…

KriptoaktīviNākotnes līgumiSvārstīgumsCenas izrāviens
Strategy library

This strategy pairs price-channel breakouts with an On-Balance Volume oscillator to trade in both directions. The channel uses prior high and low ranges; an upper-channel break accompanied by bullish OBV strength signals a long, while a lower-channel break…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This two-sided strategy pairs price channel breakouts with a volume-derived OBV signal. It calculates slow and faster Donchian channels from highs and lows, then forms an OBV series that can ignore volume below a configurable threshold and can be expressed…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

The strategy uses two ATR-based trailing stop lines with different lookback periods and sensitivity multipliers to generate long and short signals when price crosses the stops. Its stated defaults are 10 and 20 periods, with multipliers of 1 and 2. It also…

KriptoaktīviNākotnes līgumiSvārstīgumsTehniskie indikatori
Strategy library

This Freqtrade strategy describes long entries on a five-minute chart using a combination of unusually high volume, price below a 40-period simple moving average, and momentum indicators. Entry conditions also require the fast stochastic D line to exceed its…

KriptoaktīviTehniskie indikatoriCenas impulssRīkojumu izpilde
Strategy library

This document presents a trend-following approach built around crossovers between 9-period and 14-period simple moving averages. A bullish crossover is intended to open a long position when price is above the 50-period average; a bearish crossover permits a…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

The document describes a long-oriented trend strategy that combines Bollinger Bands with RSI, several simple moving averages, and MACD. It specifies a 20-period band using two standard deviations, a 14-period RSI with 30 and 70 thresholds, and moving…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This trend-following method compares a selected price series with the prior bar's highest high and lowest low over a lookback window. A move above the prior rolling high signals a potential long entry, while a move below the prior rolling low signals a…

Cenas izrāviensSekošana tendenceiTehniskie indikatoriNākotnes līgumi
Strategy library

The described strategy uses the slope of daily On-Balance Volume (OBV) as a proxy for accumulation or distribution. A rising OBV slope is treated as a long signal and a falling slope as a short signal; the opposite signal is intended to close the current…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiKriptoaktīvi
Strategy library

This strategy combines a stochastic-based reversal signal with a volume-flow direction signal. The reversal component uses recent closing-price movement and the relationship between fast and slow stochastic lines around a threshold. The second component…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriNākotnes līgumiKriptoaktīvi
Strategy library

This strategy uses MACD crossovers to generate long entries and exits, while plotting five exponential moving averages as references for trend context and potential support or resistance. The MACD uses fast and slow lines with a signal line; a bullish…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiKriptoaktīvi