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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
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SuperMind
Dokumentu skaits: 12,226
OKX Learn
Dokumentu skaits: 8,431
Strategy library
Dokumentu skaits: 7,910
MQL5 code base
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BigQuant
Dokumentu skaits: 3,481
Bitget Academy
Dokumentu skaits: 3,298
MQL5 articles
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TradingView scripts
Dokumentu skaits: 1,976
ProRealCode
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Deribit Insights
Dokumentu skaits: 1,232
Machine Learning for Trading
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arXiv papers
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Amberdata research
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FMZ forum
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FMZ digest
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vn.py community
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QuantInsti blog
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Galaxy Research
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QuantStart
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Stratmill research code
Dokumentu skaits: 219
Robot Wealth
Dokumentu skaits: 195
NautilusTrader
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Hummingbot docs
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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
Quantpedia
Dokumentu skaits: 86
TqSdk
Dokumentu skaits: 86
Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
Dokumentu skaits: 68
Hudson & Thames
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Awesome Systematic Trading
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backtrader
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vn.py
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Quantopian lekcijas
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Binance API docs
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FMZ guides
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pysystemtrade
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Freqtrade docs
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quant-trading
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FinRL
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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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Alphalens
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WonderTrader
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backtesting.py
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Technical Analysis
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QTPyLib
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QuantRocket
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Lumibot strategies
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Awesome Quant
Dokumentu skaits: 1

Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This strategy uses price crosses of VWAP to trigger directional trades and ATR to set risk and profit levels. It enters long when the close moves above VWAP after the prior close was below it, and short on the reverse cross. The source calculates a…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSvārstīgums
Strategy library

This strategy uses short-term RSI pivot divergences to identify possible reversals, with a longer-term RSI condition to filter entries. Regular bullish divergence occurs when price makes a lower low while RSI makes a higher low; hidden bullish divergence…

KriptoaktīviNākotnes līgumiTehniskie indikatoriRiska pārvaldība
Strategy library

This basic trend-following strategy calculates fast and slow simple moving averages from closing prices. A cross of the fast average above the slow average generates a long entry, while a cross below generates a short entry. The lengths are adjustable,…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriCenas impulss
Strategy library

This trend-following method combines three Supertrend indicators with different parameter settings and an exponential moving average. It enters long when the close is above all three Supertrend lines and the EMA, and short when the close is below all four…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriCenas izrāviens
Strategy library

This strategy combines an impulse-style MACD calculation, Ichimoku cloud levels, and an adjustable exponential moving average to define directional entries. A long signal requires the IMACD color condition associated with strong upward momentum and the EMA…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriCenas impulss
Strategy library

This strategy combines swing highs and lows with bullish or bearish candle patterns to seek reversal entries. It identifies potential swing levels by comparing recent highs and lows, then looks for a close above the tracked high alongside a bullish candle…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy uses a simple moving average as the center of a price channel, with standard deviation setting the distance to its upper and lower bands. A move above the upper band signals a long entry, while a move below the lower band signals a short entry,…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriSvārstīgums
Strategy library

This short-term strategy uses a five-period exponential moving average to identify stretches where price remains wholly above or below the average. It records a recent low or high during those stretches, then enters when price crosses the stored extreme,…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriCenas izrāviens
Strategy library

This trend-following approach uses Ichimoku components to form a cloud and place stop orders around its boundaries. The conversion and base lines are midpoints of recent price ranges, and their average forms one leading span; a longer range midpoint forms…

Nākotnes līgumiSekošana tendenceiCenas izrāviensTehniskie indikatori
Strategy library

This strategy combines engulfing candle patterns with a longer-term trend count, Fibonacci retracement and extension levels, a McGinley Dynamic indicator, and moving average crossovers. It describes taking positions after engulfing signals under trend-count…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensRiska pārvaldība
Strategy library

This strategy combines ADX and directional movement readings to identify strong bullish or bearish conditions, then uses Supertrend as a second trend check and as the position exit trigger. Entries require the trend, strength, direction, and zone conditions…

Sekošana tendenceiTehniskie indikatoriTirgus mikrostruktūraRiska pārvaldība
Strategy library

This open-source strategy turns repeated weekly highs or lows into reversal-style entry signals. After two consecutive candles share a low, it enters long at the close of the next candle if that candle makes a higher low. After two consecutive highs, it…

Tehniskie indikatoriCenas izrāviensRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This strategy combines a smoothed range filter with fast and slow EMAs. The filter estimates a range from smoothed price changes and updates only when price moves beyond that range; its direction and price position produce alternating long or short signals.…

Tehniskie indikatoriSekošana tendenceiCenas izrāviensNākotnes līgumi
Strategy library

This strategy pairs RSI extremes with Bollinger Band positions to seek potential reversals. It signals a long when RSI crosses upward through its oversold threshold while price is below the lower band, and a short when RSI crosses downward through its…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasSvārstīgumsNākotnes līgumi
Strategy library

This long-only trend-following system combines Supertrend direction with ADX trend strength and an RSI filter. It enters when Supertrend signals an upward trend, ADX is above its stated threshold, and RSI meets the specified condition; it exits when…

Tehniskie indikatoriSekošana tendenceiCenas impulssKriptoaktīvi
Strategy library

This strategy uses Average True Range (ATR) to scale a trailing stop to recent volatility and price signals around an EMA to choose long or short entries. Its stated rules also describe moving take profit and stop loss levels as a position changes, then…

Tehniskie indikatoriSekošana tendenceiSvārstīgumsRiska pārvaldība
Strategy library

This trend-pullback strategy tracks the highest high and lowest low over a channel period, alongside a moving average used as a trend filter. After price reaches a channel extreme, the system records a reference point and sets a directional state. It then…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This combined trend system requires agreement between two components before taking a position. One component derives a directional state from price action around an exponential moving average. The other uses three displaced moving averages of median price,…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This trend-following method uses a 21-period EMA and a 20-period SMA. A cross of the EMA above the SMA creates a potential long signal, while a cross below creates a potential short signal. The strategy confirms a signal by requiring the current close to…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This partial strategy script combines SuperTrend direction changes with RSI and an optional SMA trend filter for trading VN30F1M futures. It defines SuperTrend parameters, RSI overbought and oversold thresholds, a 200-period SMA filter, trade direction…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This example shows a basic algorithm for trading a continuous E-mini S&P 500 futures series. It configures a date range, uses backward-ratio price normalization and last-trading-day contract mapping, and calculates daily fast and slow simple moving averages.…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRīkojumu izpilde
Strategy library

The visible script describes a strategy that searches historical log-return sequences for a window resembling the recent return pattern. It then sums returns following the closest historical match over a forecast horizon to infer a directional forecast. This…

StatistikaSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy pairs a price reversal pattern with Stochastic oscillator conditions and enters only when both components agree. The 123 component compares recent closes and the fast and slow Stochastic lines around a threshold; a separate Stochastic rule…

KriptoaktīviNākotnes līgumiTehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

This strategy combines MACD crossover signals with a moving average filter. It describes entering long when price crosses above an EMA as MACD crosses upward into positive territory, and entering short when price moves below the EMA as MACD crosses downward…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori