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MQL5 code base
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Bitget Academy
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Machine Learning for Trading
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Stratmill research code
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Robot Wealth
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OctoBot
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Systematic trading blog (Rob Carver)
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Qlib
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Quantpedia
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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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Zipline
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FMZ live strategies
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Jesse
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pyfolio
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Technical Analysis
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Meklēt bibliotēkā

Dokumentu skaits: 7,910

Strategy library

This mean-reversion approach measures price against a moving average and divides deviations into bands. It scales into a position as price moves farther below the average, using larger unit amounts at deeper levels, then sells in corresponding stages as…

KriptoaktīviNākotnes līgumiAtgriešanās pie vidējās vērtībasPozīcijas apjoma noteikšana
Strategy library

The visible portion of this strategy describes a trend-pulse channel built from a smoothed price source and filtered true range. The channel uses a configurable filter period, pole count, and range multiplier; an optional zero-lag pre-transform is applied to…

Sekošana tendenceiCenas izrāviensTehniskie indikatoriTirgus mikrostruktūra
Strategy library

This short-term strategy combines Supertrend direction, price position relative to an EMA, and RSI thresholds to qualify long and short entries. It also limits trading to one position at a time and sets stop and target distances using a percentage stop…

KriptoaktīviNākotnes līgumiSekošana tendenceiTehniskie indikatori
Strategy library

This strategy combines a hierarchy of moving averages with price-cross signals to follow established trends. It identifies an uptrend when the 50-period average is above the 100-period average, which is above the 200-period average; it applies the inverse…

KriptoaktīviSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This example implements a daily breakout approach for a futures contract. It uses the previous session’s high and low as upper and lower trigger levels. A move above the high sets a long target, while a move below the low sets a short target. The example…

Nākotnes līgumiCenas izrāviensPozīcijas apjoma noteikšanaRīkojumu izpilde
Strategy library

This document describes a strategy framed around Elliott Wave theory, Stochastic, and multiple EMAs. In the source, however, the actual entry rules are simpler: a close crossing above the five-period EMA enters long, and a close crossing below it enters…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This alpha model turns MACD signal-line values into directional price insights. For each security with a nonzero price, it divides the MACD signal value by the current price and compares the result with a one-percent threshold. Values beyond the positive or…

Tehniskie indikatoriCenas impulssRīkojumu izpilde
Strategy library

This demonstration shows how to adapt a conventional trading algorithm to a framework that uses directional insights. It applies daily MACD to SPY and compares the MACD line with its signal line using a tolerance. When the normalized difference exceeds the…

AkcijasTehniskie indikatoriCenas impulssRīkojumu izpilde
Strategy library

This document outlines a long-only pullback strategy intended for markets already in an uptrend. It seeks an entry when two-period RSI falls below 20, provided price remains above both an 80-period EMA and a 200-period SMA, current volume exceeds its…

Nākotnes līgumiAtgriešanās pie vidējās vērtībasTehniskie indikatoriRiska pārvaldība
Strategy library

This excerpt describes an overnight strategy for Micro E-mini S&P 500 futures. It builds a range shortly after the Globex session begins, then exposes settings for trading range breakouts or fading moves near the range boundaries. Configurable filters…

Nākotnes līgumiCenas izrāviensSekošana tendenceiAtgriešanās pie vidējās vērtības
Strategy library

This document presents a rule-based count built from recent Bitcoin futures prices. On hourly records, it compares each close with the close four bars earlier. Consecutive higher comparisons increment a positive count, while lower comparisons build a…

Nākotnes līgumiTehniskie indikatoriRīkojumu izpildeVēsturisko datu pārbaude
Strategy library

This document describes a basic trend-following system that compares price with a moving average. Its default setup uses a 17-period simple moving average, with a long signal when the close crosses above the average and a short signal when it crosses below.…

Nākotnes līgumiSekošana tendenceiTehniskie indikatoriVēsturisko datu pārbaude
Strategy library

This excerpt describes a long-only dollar-cost averaging framework using two separate lower-timeframe RSI signals. An RSI crossing upward through an oversold threshold arms a base entry; an RSI crossing downward through an overbought threshold can trigger a…

KriptoaktīviAtgriešanās pie vidējās vērtībasTehniskie indikatoriPozīcijas apjoma noteikšana
Strategy library

This long-only system uses a custom weighted smoothing calculation to build K, D, and J stochastic lines from the close’s position within the recent high-low range. It enters when J crosses above D and closes when D crosses above J. A five percent stop loss…

Nākotnes līgumiKriptoaktīviTehniskie indikatoriSekošana tendencei
Strategy library

This strategy uses a short-period RSI to identify oversold conditions for long entries, then applies optional filters based on weekly RSI, a moving average, and a second RSI. An ATR comparison can block entries following unusually sharp price drops. The…

AkcijasNākotnes līgumiTehniskie indikatoriRiska pārvaldība
Strategy library

This document presents the setup for a long-only EURUSD grid strategy. It places grid levels between configurable high and low prices, with geometric spacing by default and arithmetic spacing as an alternative. The accompanying description says the bot buys…

Valūtu tirgusRežģa tirdzniecībaPozīcijas apjoma noteikšanaRīkojumu izpilde
Strategy library

This Pine Script strategy combines three entry conditions: a fast EMA must be above the slow EMA for a long, RSI must exceed its buy threshold, and the close must cross above the latest confirmed swing high. Shorts use the inverse conditions, crossing below…

Tehniskie indikatoriSekošana tendenceiCenas impulssCenas izrāviens
Strategy library

The system generates directional signals from crossovers between an 8-period and a 30-period exponential moving average. An upward crossover opens a long position, while a downward crossover closes the long and opens a short. A 200-period EMA is plotted as…

Nākotnes līgumiKriptoaktīviSekošana tendenceiTehniskie indikatori
Strategy library

This strategy sets a stop level from the highest high or lowest low over a configurable lookback window. For a long position, the stop follows the rolling low, adjusted by a percentage offset; for a short position, it follows the rolling high with an offset.…

Riska pārvaldībaSekošana tendenceiNākotnes līgumiVēsturisko datu pārbaude
Strategy library

This script describes a reversal approach that looks for unusually stretched RSI readings alongside elevated volume. A long setup requires RSI below its lower threshold and volume above a multiple of its moving average, followed by a close above the previous…

Tehniskie indikatoriAtgriešanās pie vidējās vērtībasCenas impulssRiska pārvaldība
Strategy library

This example implements a two-sided grid for a futures contract. Starting from a reference price, it calculates successive levels at fixed percentage intervals: lower levels for a long grid and higher levels for a short grid. As price crosses levels, the…

Nākotnes līgumiRežģa tirdzniecībaPozīcijas apjoma noteikšanaRīkojumu izpilde
Strategy library

This strategy replaces the fast and slow price averages in a MACD-style system with elastic volume-weighted moving averages (EVWMAs). The fast and slow EVWMAs incorporate recent trading volume, while their crossover determines long and short entries. A…

Tehniskie indikatoriSekošana tendenceiCenas impulssNākotnes līgumi
Strategy library

This system is designed for range-bound markets and uses ADX to gate trades when directional strength is low. It contains two separate, mutually exclusive signal modules: one combines price deviation from the Bollinger Band middle line with MACD crossovers…

Atgriešanās pie vidējās vērtībasTehniskie indikatoriSvārstīgumsRiska pārvaldība
Strategy library

This strategy combines Squeeze Momentum (SQM) signals with a multi-timeframe check and progressively adjusted exit levels. It enters long when the lower-timeframe SQM rises and the main-timeframe SQM turns upward from a recent negative range, alongside a…

Nākotnes līgumiKriptoaktīviCenas impulssTehniskie indikatori