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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
Quantpedia
Dokumentu skaits: 86
TqSdk
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

The document describes a chart overlay that compares a fast and a slow exponential moving average, with a colored cloud showing which average is higher. A bullish signal occurs when the fast average crosses above the slow one; a bearish signal occurs when it…

Tehniskie indikatoriSekošana tendenceiNākotnes līgumiKriptoaktīvi
Strategy library

This multi-factor framework combines three trading approaches: Stochastic reversals for ranging markets, fast-versus-slow simple moving average (SMA) crosses for trends, and price breaks beyond recent highs or lows for breakouts. ADX acts as a regime filter:…

Tehniskie indikatoriSekošana tendenceiAtgriešanās pie vidējās vērtībasCenas izrāviens
Strategy library

This short-term strategy uses the Commodity Channel Index (CCI) to identify reversals from extreme readings and a weighted moving average (WMA) as a directional filter. A long signal occurs when CCI crosses upward through -100 after being below it, provided…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasKriptoaktīviNākotnes līgumi
Strategy library

This indicator calculates a Kijun-Sen style line as the midpoint between the highest high and lowest low over a configurable lookback. It compares the bar’s high-low midpoint with that line and marks upward and downward crosses. The plotted line changes…

Tehniskie indikatoriSekošana tendencei
Strategy library

This strategy combines a responsive Ghost Moving Average (GMA), normalized momentum, and Fibonacci price levels. The GMA is calculated from weighted moving averages: twice a half-length WMA minus a full-length WMA, smoothed with a WMA whose length is the…

Tehniskie indikatoriCenas impulssSekošana tendenceiRiska pārvaldība
Strategy library

This short-term strategy combines an ATR-derived price envelope with fast and slow exponential moving averages and two RSI readings. The described long setup requires price below the lower band, an upward EMA crossover, and the fast RSI above the slow RSI;…

Tehniskie indikatoriSvārstīgumsAugstas frekvences tirdzniecībaNākotnes līgumi
Strategy library

This trend-following system uses a short and a long simple moving average to generate directional signals. The documented defaults are 50 and 200 periods: a cross of the short average above the long average opens a long, while a cross below closes that long…

Sekošana tendenceiTehniskie indikatoriRiska pārvaldībaNākotnes līgumi
Strategy library

This strategy uses the Ichimoku Cloud to define trend direction and generate breakout entries. The indicator combines the Tenkan-sen and Kijun-sen with leading spans A and B; the space between the spans forms the cloud. The document describes price above the…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriNākotnes līgumi
Strategy library

The visible script defines controls for long-only, short-only, or two-way trading, a daily trade cap, and a minimum waiting period between trades. It also includes session and expiration settings, configurable chart tables, and futures contract fields for…

Nākotnes līgumiRiska pārvaldībaPozīcijas apjoma noteikšanaRīkojumu izpilde
Strategy library

The visible portion describes a configurable breakout strategy organized around trend, market structure, consolidation, Smart Money Concepts, volatility exits, volume analysis, and chart displays. Its inputs include three exponential moving average lengths,…

Cenas izrāviensSekošana tendenceiTehniskie indikatoriSvārstīgums
Strategy library

This strategy uses a moving average as a reference price and places percentage bands above and below it. It supports several average types, including DEMA, EMA, RMA, and SMA, and lets the trader choose the average window, band spacing, and number of bands.…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriPozīcijas apjoma noteikšanaNākotnes līgumi
Strategy library

The strategy identifies recent pivot highs and lows as resistance and support levels, then looks for price sweeps and reversals around those levels. A short signal occurs when price has moved above resistance and then closes back below it; a long signal uses…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriTirgus mikrostruktūraRiska pārvaldība
Strategy library

This strategy combines two indicator systems and trades only when their directional signals agree. The 123 component uses recent closing-price changes and stochastic conditions to identify potential short-term reversals. The Double Smoothed Stochastic (DSS)…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This short example illustrates regular fixed-amount investing: at each weekly interval, it uses a fixed 100 USDT to buy an asset at the latest quoted price. The purchase quantity therefore changes inversely with price. It updates cumulative holdings and…

KriptoaktīviTūlītējo darījumu tirgiPozīcijas apjoma noteikšana
Strategy library

This system combines RSI, a 50-period EMA, SuperTrend, Donchian channel slope, and volume to generate long and short signals. Entries require RSI to cross the midpoint, the Donchian channel to slope in the matching direction, price to be on the corresponding…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy combines RSI, moving averages, SuperTrend, Donchian channels, and volume to define directional entries. Long signals require RSI to cross above its midpoint, the Donchian center to rise, price to be above a longer-term EMA, SuperTrend to be…

Nākotnes līgumiSekošana tendenceiCenas impulssTehniskie indikatori
Strategy library

This open-source strategy is organized around confirmed swing highs and lows. Its lookback setting controls how many elapsed bars are needed before a pivot is identified. The visible settings also include a selectable moving-average type and length for trend…

Tehniskie indikatoriSekošana tendenceiRiska pārvaldībaPozīcijas apjoma noteikšana
Strategy library

This document describes a long-only trend-following system using 9- and 15-period EMA crossovers for timing and a 50-period EMA as a trend filter. A bullish crossover while price is above the long EMA opens a position; a bearish crossover below it closes the…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriRiska pārvaldība
Strategy library

This trend-following strategy calculates Supertrend using Heikin Ashi data and places stop-entry orders when the Supertrend direction changes. On a bullish flip, it sets a long stop above the Heikin Ashi high by a configurable percentage buffer; on a bearish…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriRiska pārvaldība
Strategy library

This strategy places limit orders near the lower and upper Bollinger Bands, seeking long positions below the lower band and short positions above the upper band. It uses a moving-average basis as the exit reference and includes percentage-based stop orders.…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRīkojumu izpilde
Strategy library

This indicator marks a potential bullish order block at the last down candle before a run of up candles, and a bearish block at the last up candle before a run of down candles. The default setting requires seven subsequent candles in the same direction. A…

Nākotnes līgumiTehniskie indikatoriTirgus mikrostruktūraVēsturisko datu pārbaude
Strategy library

This intraday approach uses a 50-period EMA as a price filter and the Stochastic Momentum Index (SMI) for entry timing. During the morning session, it goes long when SMI crosses above its signal line while below zero, provided price is above the EMA. A close…

AkcijasCenas izrāviensCenas impulssTehniskie indikatori
Strategy library

The strategy enters when a short EMA crosses a longer EMA and the MACD line agrees with the trade direction. It places stop-loss and take-profit levels using ATR, with the target set at twice the stop distance. Position size is calculated from the distance…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiRiska pārvaldība
Strategy library

This strategy combines a 50-period and a 150-period EMA trend filter with a Stochastic oscillator for entries. A long setup requires price above both averages, the shorter EMA above the longer one, and the Stochastic K line crossing above D while below 30. A…

Nākotnes līgumiTehniskie indikatoriSekošana tendenceiCenas impulss