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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
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Robot Wealth
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NautilusTrader
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Hummingbot docs
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Paradigm research
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Lumibot
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Kraken Learn
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Kvantitatīvās tirdzniecības kursu bibliotēka
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OctoBot
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Cryptohopper blog
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Systematic trading blog (Rob Carver)
Dokumentu skaits: 132
Qlib
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TqSdk
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Quantpedia
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Hyperliquid docs
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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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Binance API docs
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Quantopian lekcijas
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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 long-only strategy identifies potential double bottoms from three recent pivot lows. It treats the pattern as valid when the first and third lows are close within a tolerance and the middle low is higher. Entries also require price above an optional…

Tehniskie indikatoriCenas izrāviensSvārstīgumsRiska pārvaldība
Strategy library

This strategy averages a Hull Moving Average and a T3 moving average to create a directional signal. A rising average triggers a long entry, while a falling average triggers a short entry. The description proposes exiting when the average changes direction…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This BTC/USDT futures strategy enters on breaks of pivot-based support or resistance when a volume oscillator exceeds a threshold. Long entries require a close above resistance and price above a long-term EMA; shorts require a close below support and price…

KriptoaktīviNākotnes līgumiCenas izrāviensTehniskie indikatori
Strategy library

This strategy combines four indicators to trade directional moves in BTC/USDT futures. It calculates Fisher Transform values over four lookback scales and opens long positions when all are rising, or shorts when all are falling. Entry signals also require…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This BTC futures indicator combines a 13-period EMA, an optional 23-period SMA, a 50-bar percentage price change, and a daily Supertrend. The moving-average lines change color with their slope. Trade direction is determined when the EMA crosses the SMA and…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines a 21-period exponential moving average to mark changes in wave direction, Fibonacci retracement levels, and a TD Sequential-style count. The description defines buy and sell setups after nine consecutive closes respectively below or…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This strategy uses a smoothed call-put ratio as a sentiment signal. It calculates a 20-day moving average of the ratio, then compares it with a longer rolling average and standard deviation over 30 days. The description says to trade when the ratio crosses…

OpcijasTirgus noskaņojumsAtgriešanās pie vidējās vērtībasRiska pārvaldība
Strategy library

This document introduces a configurable Pine Script framework that lets users select among eight approaches: Connors RSI-2, z-score mean reversion, EMA and RSI momentum, Bollinger Band squeeze, MACD and RSI confluence, triple EMA crossover, VWAP deviation,…

Vēsturisko datu pārbaudeTehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulss
Strategy library

This strategy combines four exponential moving averages with daily Camarilla R3 and S3 levels and a Central Pivot Range (CPR). Its stated entries occur when price crosses the 200-period EMA while also being above the 20-period EMA for a long or below it for…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This indicator colors the Relative Strength Index when it crosses configurable overbought or oversold thresholds and marks potential bullish or bearish divergences. Its default RSI length is 14, with thresholds at 70 and 30; the divergence lookback is…

Tehniskie indikatoriAtgriešanās pie vidējās vērtības
Strategy library

This QuantConnect example shows how to manage trade data for multiple equity and forex symbols with per-symbol state. It creates ten-minute consolidated bars, uses trade-bar consolidators for equities and quote-bar consolidators for forex, and updates a…

AkcijasValūtu tirgusTehniskie indikatoriRīkojumu izpilde
Strategy library

This strategy tracks a daily high and low, calculates four Fibonacci retracement levels from that range, and displays a 20-period volume average. Its actual trade rules are simpler than the title suggests: a 14-period simple moving average crossing above a…

Tehniskie indikatoriCenas izrāviensCenas impulssKriptoaktīvi
Strategy library

This strategy combines RSI crossovers with a simple moving average of RSI, an ATR volatility filter, and a time-of-day restriction. A long signal occurs when RSI crosses above its average while below 45; a short signal occurs when it crosses below its…

Tehniskie indikatoriCenas impulssSvārstīgumsRiska pārvaldība
Strategy library

This strategy uses the crossover of a fast and a slow exponential moving average to signal cryptocurrency trades. A cross above signals a long entry, while a cross below closes the long position. The default EMA lengths are 9 and 21, and arrows on the chart…

KriptoaktīviSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

The Orion strategy combines a smoothed signal derived from several technical indicators, including MACD, Williams %R, Stochastic, and RSI. It examines changes in the signal’s slope to form a prediction curve intended to anticipate short-term reversals, while…

Tehniskie indikatoriCenas impulssAtgriešanās pie vidējās vērtībasPozīcijas apjoma noteikšana
Strategy library

This document presents a three-candle bullish reversal pattern: a bearish first candle is followed by a bullish engulfing candle, then another bullish candle that closes above the preceding candle. The script colors bars when the pattern conditions are met…

Tehniskie indikatoriVēsturisko datu pārbaudeRiska pārvaldība
Strategy library

This strategy uses the ratio of reported Bitcoin long positions to the combined total of long and short positions as a sentiment measure. It standardizes that ratio with a rolling mean and standard deviation, then uses configurable Z-score thresholds to…

KriptoaktīviNākotnes līgumiTirgus noskaņojumsStatistika
Strategy library

This document describes a trend-following strategy that uses the volume-weighted moving average (VWMA) to decide when to enter and exit positions. It opens a long position after the VWMA has risen for more than five days and closes it after the direction…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This stock strategy uses average true range to frame price movement relative to recent volatility. The accompanying explanation defines true range as the largest of the current high-low span and the two gaps between the prior close and current high or low;…

AkcijasSvārstīgumsTehniskie indikatoriCenas izrāviens
Strategy library

This document describes a Python interface for preparing and submitting batches of futures orders through an exchange API. Users add orders locally with a side, price, and amount, optionally specifying a symbol, contract period, or counterparty-price…

Nākotnes līgumiRīkojumu izpildeTirgus mikrostruktūra
Strategy library

This swing strategy combines a Hull moving average, an EMA price action channel, an EMA signal line, and linear regression. The Hull calculation supplies a broad directional filter; the channel’s high and low boundaries mark price regions, while linear…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This trend-following method combines two Donchian channels. The slower channel sets breakout entries: a move above its upper boundary signals a long, while a move below its lower boundary signals a short. The faster channel’s midpoint serves as the stop…

Nākotnes līgumiKriptoaktīviSekošana tendenceiCenas izrāviens
Strategy library

This long-only BTC strategy seeks entries when several trend and strength filters agree: price must be above a long-term exponential moving average, that average must be rising, rate of change must exceed a threshold, and ADX must indicate trend strength. It…

KriptoaktīviSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This mean-reversion system looks for prices outside Bollinger Bands alongside an RSI extreme. It enters long when price falls below the lower band while RSI is oversold, and short when price rises above the upper band while RSI is overbought. The middle band…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriSvārstīgums