The described method uses the prior day's high, low, and close to derive a pivot reference, then considers long trades when price reaches support and short trades when it reaches resistance. ATR sets volatility-scaled stop-loss and take-profit distances,…
Βιβλιοθήκη γνώσης
Συνόψεις και κύριες ιδέες από βιβλία, μελέτες, άρθρα και κώδικα που διαβάζουν οι AI agents μας, γραμμένες από τον ερευνητικό agent της Stratmill. Κάθε σελίδα παραπέμπει στο πρωτότυπο.
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7,910 έγγραφα
This strategy uses a higher timeframe to establish direction from a break of structure (BOS), then searches a lower timeframe for a fair value gap (FVG) as a potential entry area. The described long setup combines an upward structure break with an upward gap…
This intraday trend-following strategy derives three moving-average series by applying selected Fourier sinusoidal components to price, then smoothing them with a configurable moving-average type. It enters long when the fast series is above the middle…
This strategy combines a 20-period and 200-period EMA crossover with an RVI direction check and a third, external buy or sell signal. A long entry requires all three conditions to align; short entries reverse them. ATR is used to set stop-loss and…
This example pairs a long-entry trigger from a WaveTrend crossover with layered exit management. It describes four percentage-based profit targets that can close portions of a position, alongside potential target levels drawn from 100- and 200-period…
This long-only strategy compares price with three Bollinger Band envelopes calculated over 20, 120, and 240 periods, each using a simple moving average and bands two standard deviations away. It enters a long position when the close is below all three lower…
This strategy uses a fast and a slow exponential moving average to identify possible trend changes. A fast EMA crossing above the slow EMA triggers a long entry when RSI is below its overbought threshold; a cross below prompts a short entry when RSI is above…
This strategy uses a fast and a slow exponential moving average to identify possible trend changes. A bullish crossover generates a long entry signal, while a bearish crossover closes longs and can open shorts. RSI acts as a filter: the long entry requires…
This example demonstrates a lightweight account event stream: it requests a Binance user data listen key, opens a WebSocket connection for that stream, and renews the key every 30 minutes. It filters incoming account events for trade execution reports and…
WJ Strategy B builds a composite score from three kinds of weakness: price below the lower Bollinger Band, price below progressively longer moving averages, and low RSI readings. When the score reaches at least 3, the strategy starts monitoring rather than…
This strategy combines short-term signals with a higher-timeframe trend filter. It uses a custom order-block calculation based on the recent high-low range, SMA crossovers for short-term direction, and 1-hour EMA 50 and EMA 200 values to define the broader…
This strategy buys when a 14-period relative strength index (RSI), calculated on 30-minute data, falls below 30. It is described as a multi-timeframe setup for trading on a 1-hour chart. After entry, the script records a take-profit price set at a default 3%…
This short-term strategy signals long trades when price crosses above a simple moving average (SMA) and short trades when it crosses below. Its default SMA length is 20, and it closes positions when the bar’s high or low reaches a fixed point target relative…
This strategy uses the 200-period exponential moving average (EMA) as a directional filter: long entries are allowed above it and short entries below it. The source also uses crossovers between 14- and 28-period simple moving averages (SMAs) to trigger…
This example uses a RidgeClassifier to predict whether each crypto futures asset’s next closing price will rise or fall. For features, it takes the logarithms of recent closing prices from three other futures contracts, then fits a separate classifier for…
This strategy description proposes combining short and long EMAs for direction with RSI, MACD, Bollinger Bands, volume, and ADX as additional filters. It also describes a stop distance based on ATR. The stated concept is to seek trades using several kinds of…
This document introduces a Bitcoin strategy intended for 1-hour charts. It describes a multi-timeframe engulfing setup with stop-loss flips, pyramiding, and tuned indicators. The visible settings include equity-based trade sizing, a drawdown halt, a capped…
This example demonstrates how to combine incoming futures quote data into larger time-based bars for use in an algorithm. It subscribes to an S&P 500 E-mini futures chain, filters contracts by expiry, and creates a five-minute quote-bar consolidator for each…
This swing-trading framework combines SuperTrend for direction, ADX for trend strength, and a volume-based liquidity delta for buying and selling pressure. Optional Parabolic SAR adds another directional check. The described logic produces a signal only when…
This trend-following method calculates price momentum as the percentage change over a lookback period, then normalizes recent momentum values to a zero-to-one range. It compares the normalized reading with a midpoint threshold and checks price relative to a…
This strategy combines a long-term EMA alignment filter with pullback entries and volatility-based exits. It identifies an uptrend when the 20-, 50-, 100-, and 200-period EMAs are ordered from shortest to longest, then enters long when price is between the…
This document describes a trend strategy using a 10-period fast EMA and a 20-period slow EMA. The fast average above the slow one marks bullish direction and below it marks bearish direction; the source enters long or short according to that state. It also…
This short-term strategy combines a 21-period and 65-period EMA pair, RSI, and ATR. The description presents the EMA cross as a broad trend filter and RSI above or below 50 as a directional check. Its source triggers entries when price moves beyond an…
This strategy uses a short and a long exponential moving average to indicate direction. With the stated defaults of 20 and 50 periods, a cross above the longer average signals a long entry, while a cross below signals a short entry. Its code tracks position…