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
Quantopian lekcijas
Dokumentu skaits: 45
Binance API docs
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 long-only approach combines a Donchian-style trend filter with StochRSI timing. The trend filter is the highest value of an EMA of highs over a rolling window; the document describes an EMA length of 6 and a 30-bar window. A close above that filter…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy framework supports seven moving average types: SMA, EMA, WMA, VWMA, HMA, RMA, and ALMA. Traders can choose a fast and slow line, optionally add a middle line, and select either crossover signals or prior-close position relative to the averages…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines price position relative to six EMA and SMA periods with RSI, Stochastic, CCI, momentum, and MACD signals on a one-hour timeframe. It counts bullish and bearish readings and uses their difference to trigger long or short entries and to…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

The described method uses an EMA as a directional filter and MACD-related values to time entries: prices above the EMA are associated with long trades, while prices below it are associated with shorts. The narrative presents this as requiring both a price…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This short-term strategy combines Heiken Ashi candle direction with the ordering of the three Williams Alligator lines. It seeks longs when recent Heiken Ashi candles are bullish and the jaw, teeth, and lips are ordered upward; shorts use bearish candles and…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriCenas impulss
Strategy library

This strategy combines short- and long-period EMAs, a 15-minute RSI, current-timeframe VWAP, and an optional ADX trend-strength filter. Its short entry requires a bearish EMA crossover, RSI above the oversold threshold, VWAP below both EMAs by a set gap,…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This intraday futures method records the high and low during a user-selected opening window, then locks those boundaries for the rest of the trading day. A closing price above the range signals a long entry; a close below signals a short. The range resets at…

Nākotnes līgumiKriptoaktīviCenas izrāviensCenas impulss
Strategy library

This strategy uses fast, standard, and slow exponential moving averages to identify directional crossovers. The specified periods are 25, 50, and 100 bars; the fast line crossing both slower lines generates a long or short signal. The method also restricts…

Valūtu tirgusNākotnes līgumiKriptoaktīviSekošana tendencei
Strategy library

The strategy applies a Kalman-style recursive filter to track price and uses a stop line whose distance from the filtered value narrows over time. It starts with a wider percentage gap; as the line moves favorably, the permitted distance decreases toward a…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses the highest high and lowest low from the previous three trading days as breakout levels. A close above the recent high triggers a long entry, while a close below the recent low triggers a short entry. An opposite breakout closes an…

Nākotnes līgumiKriptoaktīviCenas izrāviensCenas impulss
Strategy library

The Dual Thrust method places upper and lower breakout thresholds around the daily opening price. It estimates a range from recent high, low, and close data, then scales that range by separate long and short coefficients. A close above the upper threshold…

Nākotnes līgumiKriptoaktīviCenas izrāviensSekošana tendencei
Strategy library

The supplied excerpt identifies a VWAP reversal strategy that uses an absorption-detection module, a regular-trading-hours filter, configurable presets, execution modes, risk gates, exits, and webhook alerts. It distinguishes backtest, paper, and live…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTirgus mikrostruktūraRīkojumu izpilde
Strategy library

The strategy uses two simple moving averages with different lookback periods. It signals a short position when the faster average crosses below the slower one, and a long position when it crosses above. The source uses 4- and 34-period averages, while the…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses a 14-period EMA and a 100-period EMA to identify possible trend changes. It enters long when the faster average crosses above the slower one and closes the long position when the faster average crosses below it. The described…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This intraday strategy enters long when one EMA crosses above another and short when it crosses below. The document lists periods of 110 and 40 for the inputs named fast and slow, respectively; those labels and values are unusual because the longer period…

Tehniskie indikatoriCenas impulssAugstas frekvences tirdzniecībaRiska pārvaldība
Strategy library

OmniTrend ATR Scalper builds a moving trend line that advances in steps sized from ATR. It uses separate fast and slow step periods, selecting between them according to whether the distance from the close to the line exceeds an ATR-based threshold. A…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
Strategy library

The Fusion strategy combines a short-term 123 reversal signal with high and low levels drawn from a selected timeframe. The reversal component uses recent closing-price comparisons and Stochastic values around a threshold to set direction. The breakout…

Tehniskie indikatoriCenas izrāviensAtgriešanās pie vidējās vērtībasNākotnes līgumi
Strategy library

This strategy combines SuperTrend, QQE, and Trend Indicator A-V2 to seek aligned signals. SuperTrend supplies a directional trend state; QQE uses a smoothed RSI and adaptive bands to classify overbought or oversold conditions; A-V2 compares price and open…

Tehniskie indikatoriSekošana tendenceiAtgriešanās pie vidējās vērtībasNākotnes līgumi
Strategy library

This Dual Thrust variant creates breakout thresholds around the current period’s open using a range derived from prior highs, lows, and closes. One algorithm uses a single lookback window; another calculates separate buy and sell ranges from two windows.…

Cenas izrāviensSekošana tendenceiNākotnes līgumiTehniskie indikatori
Strategy library

This strategy combines candlestick patterns, RSI conditions, and a long-term EMA alignment filter. Long entries require a bullish engulfing or morning-star pattern, a recent oversold RSI reading with RSI below its midpoint, and price above three rising,…

Cenas impulssSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses Bollinger Bands to trade price breakouts. The middle band is a simple moving average, and the outer bands offset it by a multiple of the price standard deviation. A close crossing above the upper band opens a long position; a close…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This short-term strategy combines a 200-period EMA channel, an hourly trend filter, WaveTrend signals, and a 12-period EMA entry filter. Long setups require the hourly close above the channel and either a sustained oversold reading or an upward WaveTrend…

Cenas impulssSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines price breakouts from regression-based trendlines with an RSI momentum filter. It calculates upper and lower lines from recent highs and lows over a configurable lookback. A close above the upper line generates a long signal when RSI is…

Nākotnes līgumiKriptoaktīviCenas izrāviensCenas impulss
Strategy library

This trend strategy uses two exponential moving averages to choose a long or short bias, then uses adaptive Bollinger-style bands to time entries. The document describes a 200-period and 30-period EMA comparison for trend direction, with a configurable SMA…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori