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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
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OKX Learn
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Strategy library
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MQL5 code base
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BigQuant
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Bitget Academy
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MQL5 articles
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TradingView scripts
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ProRealCode
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Deribit Insights
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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
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NautilusTrader
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Hummingbot docs
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Paradigm research
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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
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TqSdk
Dokumentu skaits: 86
Quantpedia
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Hyperliquid docs
Dokumentu skaits: 79
Freqtrade
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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
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Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This example demonstrates attaching Classic Renko consolidators to daily SPY data in the Lean algorithm framework. One consolidator uses the incoming data value, effectively producing bricks from close values, with a fixed $2.5 brick size. A second uses a…

AkcijasTehniskie indikatoriTirgus mikrostruktūraRīkojumu izpilde
Strategy library

The visible portion describes a reversal scalping strategy that looks for a run of same-direction candles moving away from an earlier reversal candle. The run length is configurable, and a small allowance can permit one candle to close slightly against the…

Tehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

Despite the title and overview discussing moving-average crossovers, the published source does not calculate or compare moving averages. Instead, it checks whether the current close has risen or fallen from the previous close by at least a user-set…

KriptoaktīviNākotnes līgumiCenas impulssVēsturisko datu pārbaude
Strategy library

This indicator calculates RSI on as many as five selectable timeframes, with each timeframe independently enabled or disabled. Users choose the price source, RSI length, and overbought and oversold thresholds. The default configuration uses a 14-period RSI,…

KriptoaktīviTehniskie indikatoriAtgriešanās pie vidējās vērtībasVēsturisko datu pārbaude
Strategy library

This BTC/USDT strategy uses three exponential moving averages to frame short-, medium-, and longer-term price behavior. The written description presents a 9-period EMA crossing a 27-period EMA as the entry trigger, with price above the fast EMA for longs and…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This script builds a volume-based trend signal by weighting signed volume according to volume relative to ATR, accumulating the result as an OBV-like series, and calculating fast and slow exponential averages. Crosses between the averages generate long or…

Tehniskie indikatoriCenas impulssRiska pārvaldībaVēsturisko datu pārbaude
Strategy library

This BTC/USDT strategy combines Stochastic Oscillator readings from the chart timeframe and a higher timeframe. It signals a long when the chart K line crosses above D below 20 and the higher-timeframe K is also below 20 and above its D line. A short uses…

KriptoaktīviTehniskie indikatoriAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This long-only strategy measures RSI momentum by subtracting a moving average of RSI from RSI itself, then smoothing that deviation with a second moving average. It opens a long position when the smoothed deviation crosses above a threshold and closes it…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This intraday method seeks long entries using local swing lows and a bullish three-line strike candlestick pattern. It also describes an extreme-oversold signal as part of its rationale. For exits, it measures volatility with ATR and places target and stop…

Tehniskie indikatoriCenas izrāviensSvārstīgumsRiska pārvaldība
Strategy library

This trend-following method uses a short and a long simple moving average to signal direction. A crossover must persist into the next bar before entry: the short average crosses above the long average for a long signal, or below it for a short signal. The…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This strategy combines StochRSI crossovers with a volume filter to time long and short entries. It calculates RSI over 14 periods, applies a stochastic calculation to RSI, then smooths the result into K and D lines. A crossover sets the directional signal;…

KriptoaktīviNākotnes līgumiCenas impulssTehniskie indikatori
Strategy library

This intraday method uses the high and low of the 11:00 candle as reference levels. It enters long after two consecutive closes above the high and short after two consecutive closes below the low. The stated stop for each direction is placed at the opposite…

Nākotnes līgumiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy classifies the broad market direction using the slope of a 300-period exponential moving average, then selects configurable indicator signals for bullish and bearish regimes. Moving-average relationships, Stoch RSI, and WaveTrend can contribute…

Sekošana tendenceiTehniskie indikatoriCenas impulssRiska pārvaldība
Strategy library

This short-term contrarian method looks for price extensions beyond both Bollinger Bands and moving-average envelopes. It considers a short after an upper-band extension when ADX is below 30 and Stochastic is above 50; a corresponding lower-band extension…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatori
Strategy library

This strategy presents several selectable technical indicator approaches: EMA crossovers, RSI thresholds, MACD line crosses, Parabolic SAR, Bollinger Band breaks, and pivot levels. Users can choose an indicator mode, adjust RSI thresholds, and display…

Tehniskie indikatoriNākotnes līgumiKriptoaktīviVēsturisko datu pārbaude
Strategy library

This strategy combines a short-period RSI with fast and slow moving averages. Its stated defaults use a two-period RSI with thresholds of 10 and 90, plus 50-period and 200-period averages. In an uptrend, defined by the fast average and price being above the…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasSekošana tendenceiTehniskie indikatori
Strategy library

This TradingView strategy is presented as a trend-cycle switch built around the slope of a linear regression calculated from a selectable price source. Its stated premise is that stronger directional moves produce slope values farther from the range…

Sekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

This forex strategy pairs a 15-period and 50-period EMA crossover with a Stochastic Oscillator using (5,3,3) settings. Long signals combine an upward EMA crossover with an oversold Stochastic reading that is rising; short signals combine a downward crossover…

Valūtu tirgusSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This example describes a simple long-only system that enters whenever it has no open position and two waiting periods have elapsed. It closes a position at a fixed dollar profit target or loss limit, pauses for twelve hours after a loss, and delays another…

Nākotnes līgumiRiska pārvaldībaPozīcijas apjoma noteikšanaVēsturisko datu pārbaude
Strategy library

This short-term strategy uses a close above the upper Bollinger Band to enter long and a close below the lower band to enter short. Optional filters require price to align with a moving average, volatility to exceed its recent average, and price movement…

KriptoaktīviNākotnes līgumiSekošana tendenceiCenas izrāviens
Strategy library

This long-only strategy seeks rebounds after oversold moves. It enters when the close falls below the lower Bollinger Band and the Stochastic K line crosses above D. It exits when the close crosses below the Bollinger middle line or rises above the upper…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This document describes a trend-following strategy that combines short-, medium-, and long-period exponential moving averages. It enters long when the 13-period EMA crosses above the 30-period EMA while both are above the 100-period EMA. A bearish cross with…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas impulss
Strategy library

This futures strategy tracks the midpoint between the highest high and lowest low over a configurable lookback, then smooths that midpoint with a five-period moving average. It calculates the slope of the smoothed series over the selected lookback. When the…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This charting tool compares two selected swap markets against a chosen base market. For each bar, it divides each instrument’s close by the base close, then divides those two normalized values to form a relative spread series. It plots that series alongside…

KriptoaktīviNākotnes līgumiPāru tirdzniecībaArbitrāža