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.
Dokumentu skaits: 7,910
This strategy builds a central pivot from recent highs and lows and a prior bar’s prices, then places upper and lower bands at an ATR-scaled distance. It looks for price to cross back inside a band after touching or opening beyond it, entering long near the…
This strategy uses a slower moving average to establish trend direction and a faster one to time pullback entries. In an uptrend, it enters long when price is below the fast average and the candle closes down; in a downtrend, it enters short when price is…
This strategy description presents a multi-timeframe trend filter using four intervals: 3, 5, 15, and 30 minutes. Although the overview says it evaluates MACD across those periods, the source actually defines each interval's direction by comparing its candle…
This long-only strategy enters when the smoothed stochastic %K line crosses above %D while %K remains below an oversold threshold. It allows one open position at a time. At entry, it records the average fill price and the ATR value, then places a take-profit…
This Bitcoin strategy combines three short-period simple moving averages with directional and volatility filters. Its listed settings include moving average lengths of 5, 15, and 25; an ADX length of 20 with a threshold of 15; a pivot-based ATR band; a cloud…
This visual-strategy example shows a simple automated trading loop for a BitMEX XBTUSD contract. It repeatedly reads the latest ticker and, when the last price is above a fixed threshold, sets the order direction to buy and submits a buy order using the…
This document describes a strategy using an 8-period and 26-period exponential moving average (EMA) alongside MACD. It opens a long position when the faster EMA is above the slower one and MACD crosses above its signal line. Trailing stop levels are intended…
This strategy combines ATR-based Chandelier levels with RSI thresholds to seek reversal entries. It calculates a volatility-adjusted level from recent highs for long signals and from recent lows for short signals. A close crossing the relevant level is…
This strategy calculates Fibonacci retracement levels from the highest high and lowest low over a configurable lookback window. It uses the 61.8% level for a long entry when price crosses above it, and the 38.2% level for a short entry when price crosses…
The source combines two functions: pivot-based stop entries and a monthly performance table. It tracks the latest confirmed pivot high and low, then places long and short stop-entry orders just beyond those levels. The inputs set pivot confirmation bars. The…
The document describes a trend-following strategy that lets the user choose SMA, EMA, TEMA, WMA, or HMA and set the calculation period. Its stated signal rule is to go long when the close is above the selected average and short when below. The Pine source…
This basic trend-following strategy compares an 8-period simple moving average with a 20-period simple moving average. A cross of the faster average above the slower one opens a long position; a cross below opens a short position. A reverse cross closes the…
This system uses a fast and slow EMA crossover to signal trend direction, with the defaults set to 5 and 21 periods. An upward cross opens a long trade and a downward cross opens a short trade, subject to a configurable long-only, short-only, or two-way…
This strategy pairs a volatility-based Supertrend line with RSI to identify direction and manage exits. It proposes entering long when the close crosses above Supertrend and short when it crosses below, while requiring RSI and Supertrend to agree as a trend…
This strategy combines Bollinger Band breakouts with a 200-period EMA trend filter and UT Bot Alerts signals. It enters long when price and a fast EMA cross above the upper band, and short when they cross below the lower band; the EMA places price in a…
This strategy combines moving average alignment with Williams fractals and RSI to enter trend trades around possible turning points. Long entries require the short EMA to cross above the medium and long EMAs while a Williams fractal identifies a low in…
This automated strategy uses the highest high and lowest low over a configurable swing period to define a trailing stop level. A close above the previous period's high sets an upward state, while a close below the previous period's low sets a downward state.…
This proposed strategy combines recognition of Adam and Eve double bottoms with Fibonacci levels and support-resistance levels. It describes a three-part confirmation process: identify a pair of lows, calculate retracement and extension zones from the lows…
This strategy calculates simple moving averages over 9, 21, 25, and 99 periods, alongside a 14-period RSI. It watches crossovers in two pairs: the 9 and 21 averages, and the 25 and 99 averages. RSI thresholds of 70 and 30 are combined with those crossovers…
This partial Pine Script describes a short-term stock scalping strategy with a defined trading window and optional session bypass. The visible calculations combine VWAP, fast and slow exponential moving averages, ATR, RSI, relative volume, and prior-bar…
This BTC/USDT futures strategy uses Bollinger Bands built from a 20-period simple moving average and two standard deviations. It tracks band width across three consecutive observations, marking it as expanding, contracting, or unchanged. A candle is…
This strategy combines Bollinger Bands, a Stochastic indicator calculated from RSI, and a fast exponential moving average. Its stated long entry occurs when price crosses back above the lower band, Stochastic K and D are at or below 20, and the fast EMA is…
This breakout method tracks swing highs and lows over a configurable lookback window, with a stated default of 20 bars. A close crossing above the swing high generates a long entry, while a close crossing below the swing low generates a short entry. The…
This workflow proposes finding candidate tokens by starting with a successful seed project, screening its holders, and examining the other ERC-20 assets held by qualifying wallets. The described filters exclude large project holders and labeled institutions,…