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 uses a fast and a slow moving average to define directional trades: an upward cross opens a long, and a downward cross opens a short. The document presents dynamic position sizing based on account equity and a user-defined risk setting,…

Sekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšanaRiska pārvaldība
Strategy library

This multi-indicator trend strategy combines three tools to qualify entries. AK MACD BB signals when the MACD line breaks above or below its bands; SSL uses price relative to a moving average and pullback behavior to indicate trend direction; and VSF…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This document presents a trading system based on the Know Sure Thing (KST) momentum oscillator. It calculates four rates of change over different lookback periods, smooths them with moving averages, then combines them using progressively larger weights for…

Nākotnes līgumiCenas impulssTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This strategy uses Bollinger Bands as a channel for trading potential trend changes. It calculates a simple moving average as the middle band and places upper and lower bands at a multiple of the rolling standard deviation. The described settings use a…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This daily Bitcoin strategy combines two price thresholds with a moving average crossover. It opens a long when the prior close is below the lower threshold or the 10-day average crosses above the 30-day average; it opens a short when the prior close is…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses 10-period and 25-period simple moving averages to signal long entries when the fast average crosses above the slow one and short entries on a downward cross. It restricts entries to 08:30–15:00, closes positions at 15:00, and specifies…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This basic trend-following system compares a 9-period EMA with a 20-period EMA. It enters long when the faster average crosses above the slower one and enters short when it crosses below. Because an EMA weights recent prices more heavily than older prices,…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This strategy uses the Volume Flow Indicator (VFI), which combines price movement and volume, with exponential moving averages to filter long entries. The coded entry occurs when VFI crosses above a configurable buy line while the 50-period EMA is at or…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines RSI thresholds with price bands derived from a rolling volume-weighted average and standard deviation. It looks for long entries when price moves below the lower outer band and RSI turns up through its oversold threshold; short entries…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This document presents a reusable Pine Script framework for backtesting strategies. Its stated design separates trade management from signal generation: a trader supplies conditions for starting and ending long or short positions, while the framework…

Vēsturisko datu pārbaudeRiska pārvaldībaRīkojumu izpildePozīcijas apjoma noteikšana
Strategy library

This strategy uses simple moving averages to seek pullback entries during an established uptrend. It treats the 20-day SMA above the 60-day SMA as an uptrend filter, then enters long when the 5-day SMA crosses back above the 20-day SMA. An exit is signaled…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This Pine Script outlines a long-only strategy intended for weekly charts. It enters when the closing price lies between two Hull moving averages, the MACD histogram is below zero, and both a nine-period RSI and its short moving average cross above a longer…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This Pine Script strategy smooths log-transformed closing, high, and low prices with a custom Nadaraya-Watson kernel, then exponentiates the estimates to plot high and low envelope curves. It also computes an ATR-like measure from the smoothed prices and…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSvārstīgumsVēsturisko datu pārbaude
Strategy library

This strategy uses an EMA as a directional filter and MACD crossovers as entry triggers. Longs require price to remain above the EMA while MACD crosses upward below its zero line; shorts require price below the EMA while MACD crosses downward above zero. The…

Sekošana tendenceiCenas impulssTehniskie indikatoriRiska pārvaldība
Strategy library

This Pine Script strategy builds a price range from the 08:00–08:15 New York session, locks its high and low, and tracks closes that break outside the range. During the 09:45–11:00 window, it enters when price retests the midpoint in the direction of the…

Nākotnes līgumiCenas izrāviensRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This strategy pairs an ATR-based SuperTrend with volatility regime classification to generate trend-following entries. It estimates high, medium, and low volatility bands from a rolling ATR range, then conditions direction changes on the assigned regime:…

Sekošana tendenceiSvārstīgumsTehniskie indikatoriMašīnmācīšanās
Strategy library

This strategy combines a three-bar 123 reversal pattern, filtered by a stochastic oscillator, with a money-flow direction signal. The reversal component looks for a change in consecutive closing-price movement alongside oscillator conditions. The money-flow…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSekošana tendenceiNākotnes līgumi
Strategy library

This document outlines a heuristic trading system that combines Stochastic RSI, Money Flow Index, MACD, and Bollinger Bands. It treats those indicators as multiple observations of uncertain market conditions and labels the approach POMDP-inspired. A long…

Nākotnes līgumiKriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This indicator plots a linear regression line with upper and lower bands based on the regression residual deviation. It supports a selectable price source, lookback length, offset, smoothing, and optional higher-timeframe data. The line color reflects its…

Nākotnes līgumiTehniskie indikatoriCenas izrāviensAtgriešanās pie vidējās vērtības
Strategy library

This strategy combines a pivot level derived from the prior period’s high, low, and close with two momentum measures: Rate of Change (ROC) and Stochastic RSI. A long signal requires price above the pivot, a bullish Stochastic RSI K/D crossover, and positive…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This document describes a short-term directional strategy built around an SSL channel. It calculates channel levels from simple moving averages of highs and lows, then uses channel behavior to signal long or short trades. The written overview presents…

Nākotnes līgumiKriptoaktīviCenas impulssCenas izrāviens
Strategy library

This note describes a trend-following approach built around a short simple moving average and a longer one set to twice its period. A bullish crossover signals a long entry, while a bearish crossover signals a short entry. The described entries use market…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

The strategy compares positive and negative directional indicators on a chart timeframe and a larger timeframe. Agreement between the two is treated as a directional trend signal: positive DI dominance indicates a long bias, while negative DI dominance is…

Sekošana tendenceiTehniskie indikatoriNākotnes līgumiRiska pārvaldība
Strategy library

This workflow describes automated long and short trading for USDT-margined perpetual futures. On a candle-close trigger, it reads account balance and market contract specifications, then calculates an order quantity from a configurable share of available…

Pozīcijas apjoma noteikšanaRiska pārvaldībaRīkojumu izpildePerpetuālie nākotnes līgumi