Guides and perspectives on trading automation.
Ideas, practical walkthroughs, and updates from PineConnector.
A moving average crossover compares both averages on two consecutive bars. This guide explains SMA, EMA and WMA, crossing boundaries, lag, whipsaws and the path from a chart event to an MT5 order request.
Monte Carlo trading simulations describe outcomes under a specified sampling model. Compare shuffling and bootstrap resampling, recompute a four-trade example and learn what simulated drawdowns leave out.
A dated comparison of published MetaTrader 5 updates since June 2025 and what they mean for an EA acting on TradingView alerts. Checked against MetaQuotes’ archives on 25 September 2026.
A mean reversion trading strategy enters when price has stretched a measured distance from a reference level and exits as it moves back. This guide covers z-score, Bollinger Band and RSI rules, a worked example, why stops are the hard part and how the rules...
Martingale sizing and averaging grids accumulate risk in different ways. Follow a doubling table, a capped-cycle probability example and the margin limits that can interrupt recovery.
Margin level is equity divided by used margin, times 100. See how margin call and stop-out levels work in MetaTrader 5, a worked example, and why an automated order needs a margin check first.
MAE and MFE describe a trade's worst and best unrealised outcomes. Learn the formulas, data requirements, current TradingView labels and why changing an exit requires more than an excursion chart.
A lot is a multiple of the symbol's contract size. See standard, mini and micro lots, where MT5 shows minimum volume and volume step, and how PineConnector volume parameters become a valid lot size.
Calculate consecutive losses from one starting trade and across a longer sample. Worked arithmetic and a reproducible simulation show why an average longest streak is not a loss limit.
Audit when a backtest could know each input, which instruments remain in the sample and how the final rules were selected. Includes an hourly-data example and a practical bias checklist.
Kelly estimates a growth-based fraction under a specified outcome model. A worked example and calculator show input sensitivity, while a distribution comparison explains why average win and average loss can hide a different mathematical solution.
A practical map of the backtesting process, from measurable rules and modelling assumptions to reserved evaluation and realtime demo verification. Explore each method through the linked reference guides.
No single trade count validates a backtest. Worked examples show win-rate uncertainty, standard error of mean R and a t-statistic, alongside the limits of independence, market coverage and repeated tuning.
Treat the first month as verification: demo first, reconcile each alert across three logs, compare fills and costs with the backtest, and move live or scale only by rules written in advance.
Define a daily or weekly loss limit with an explicit baseline, clock, action and restart rule. See why halting new entries, stopping signals and closing exposure are separate operations.
Calculate portfolio heat from recorded stop losses and a stated equity denominator. Understand shared currency exposure, rolling return correlation and the differences between strategy records and actual MT5 positions.
CFDs, futures and deliverable spot FX are different contracts, even when they reference the same market. Compare settlement, pricing and contract value, then see how copying a futures stop into a CFD order changes its distance.
Calmar compares a return on a one-year basis with maximum drawdown over a matching window. A 36-month CAGR example separates it from MAR and recovery factor, and shows why return, drawdown basis and dates must be reported together.
MetaTrader 5 uses your broker's server clock, TradingView displays the time zone you choose, and alert placeholders use UTC. Convert between them, and check the daylight saving weeks when the gaps change.
A breakout trading strategy enters when price leaves a defined range. This guide covers Donchian and opening range definitions, touch versus bar-close triggers, false breakouts, slippage, a worked example and how the rules map to TradingView alerts and MT5 pending orders.
The break-even win rate among wins and losses is 1 ÷ (1 + payoff ratio). Adding a common cost c gives (average loss + c) ÷ (average win + average loss), using before-cost averages and win share with no before-cost zero-result trades. The guide includes...
Calculate Bollinger Bands, %B and BandWidth from a labelled example. Distinguish a squeeze, a breakout and a return inside the bands, then follow an alert through the separate MT5 execution stages.
The bid-ask spread is the ask price minus the bid price, and every position starts one spread behind. This guide converts it to points and pips, shows why a stop can trigger before the chart reaches it, and explains PineConnector's spread= entry filter.
Separate broker-side stops, EA-managed breakeven and trailing, and TradingView strategy-only exits. See PineConnector's documented parameters, worked stop levels and what happens when TradingView and the broker disagree.
ADX measures how strongly one direction of movement dominates, not which direction. Calculate Wilder's +DI, −DI and ADX, and write regime filters and DI crossings as testable conditions.
