Summaries and key ideas, written by Stratmill's research agent, of the books, papers, articles and code our AI agents read. Each page links to its original.
4,613 documents
This daily trading concept opens a position at the start of a trading day based on its prior position state. It begins with a long when flat, closes positions after a stated profit target, and replaces a short stopped at its loss threshold with a new long.…
This document describes an automated strategy for 15-minute ETH up-or-down prediction markets. During a late entry window, it looks for the outcome side leading in the order book and requires Chainlink price movement to confirm direction. A conservative…
This one-hour crypto strategy seeks long entries during established uptrends, using EMA regimes, pullbacks, and several other technical signals. Its indicator set includes EMA, RSI, ADX, MACD, Bollinger Bands, volume, OBV, and ATR. It also draws on four-hour…
This strategy describes one-hour breakout trading with an EMA trend filter, an ATR volatility threshold, and a limited intraday entry window. Long signals use a recent high breakout with price above the 50-period EMA; short signals require a recent low break…
This strategy uses a Donchian channel, calculated from recent highs and lows, to define breakout entries and exits for both long and short positions. The midpoint serves as the stop level, while take-profit levels are placed beyond the channel boundaries.…
This strategy generates entries after configurable runs of consecutive rising or falling closes. Traders can choose the permitted direction, invert the original signals, or allow a direct reversal from one position to the other. It adds selectable stop…
The visible script describes a long-focused strategy built around a Supertrend crossover, with ATR-based settings and a ladder for taking partial profits. It also defines 50-, 100-, and 200-period EMAs on the chart timeframe and a selectable higher…
This script is a framework for tracking account evaluation constraints alongside strategy orders. It defines account-size-based daily loss limits, total loss limits, and profit targets, and tracks daily performance and trading-day counts. Trade direction is…
This stock strategy uses Bollinger Bands to identify upward momentum. It looks for the upper, middle, and lower bands to rise over successive observations and requires the latest close to be above the middle band before opening a long position. The code…
This document describes a backtest framework for recurring fixed-amount purchases on daily, weekly, or monthly schedules. The schedule determines when to buy within a selected date range; each purchase converts the specified cash amount into units at the…
This QuantConnect example shows how to define custom data readers for the NIFTY index and USD/INR, then add both series to an algorithm. The NIFTY reader parses daily OHLC values from a remote CSV source, while the currency reader parses daily closes. The…
The document describes buying BTC/USDT futures after price falls below successive moving-average levels, with additional entries as the decline deepens and a maximum of four entry tiers in its narrative. It aims to capture a rebound, then exits after a…
This trend strategy combines EMA alignment, Supertrend direction, and an engulfing candle as an entry trigger. Longs require a bullish EMA ordering and price above the longest EMA; shorts require the inverse conditions. It limits signals to a London session…
This strategy framework accepts external long and short entry signals and supports up to three take-profit exit orders per direction. Users can select indicator-provided values for the targets and optionally enable a stop order based on an external signal.…
This strategy turns MACD direction into a score and combines it with a higher-timeframe reading. The score reflects whether the MACD line is rising or falling, whether its histogram moves in the same direction, and whether the MACD line crosses its signal…
This dual-direction trend-following approach uses Renko charts and a modified Supertrend indicator to identify reversals. A sensitivity factor adjusts the indicator, while a trend state switches bullish or bearish when price crosses the relevant trailing…
The document describes a countertrend strategy using Bollinger Bands calculated from a 20-period simple moving average and a two-standard-deviation envelope. It enters long when price crosses back above the lower band and short when price crosses back below…
The document outlines a TradingView strategy intended for NSE equities and indices. Its stated framework combines moving-average and swing-structure trend filters with higher- and lower-timeframe context, order blocks and fair value gaps, volume, momentum…
This MetaTrader 5 expert advisor combines fast and slow momentum indicators with matching exponential moving averages. A long signal requires fast momentum to cross above its neutral level, while slow momentum stays above neutral and the fast EMA remains…
This strategy uses Bollinger Bands to initiate trades and manage exits. A close below the lower band opens a long, while a close above the upper band opens a short. After price crosses the middle band in the anticipated direction, a later move back beyond…
This strategy combines leveraged entries with an account-equity threshold. It stops opening trades when equity reaches the specified margin level and closes all positions if equity falls to that threshold. The example settings show leverage enabled at 4x and…
This document describes an automated trading setup that presents itself as machine-learning based. Its stated components include a Hull moving average, two exponential moving averages, candle-based support and resistance levels, and a higher-timeframe…
The strategy description combines trend direction, swing counting, candle patterns, volume, and session timing to seek continuation trades. It uses a moving average and its slope to define directional conditions, then looks for a third higher low for longs…
This document outlines a price-action strategy that combines swing structure with fair value gaps (FVGs). It defines a bullish change of character (CHoCH) as a break above a prior swing high after a lower low, and a bearish CHoCH as a break below a prior…