Previous-Session High / Low Sweep
liquidity taken, then reversalMark the previous session's high and low. Stop orders rest just above and just below those two levels.
Every strategy carries its exact rules, an annotated chart of the setup, the research behind why it should work at all — and the conditions under which you should not take it.
Showing 1–10 of 14 matching strategies
Mark the previous session's high and low. Stop orders rest just above and just below those two levels.
Orders cluster disproportionately at whole figures — 1.0900, 1.1000 — and at the half figures between them.
The Asian range high and low are the two most obvious levels on the chart, and stops rest on both sides of them.
On the last business day of the month, large asset managers rebalance their currency hedges, and that rebalancing executes at the 16:00 London fix.
On a scheduled macro release the exchange rate jumps immediately. That jump is not your trade — the adjustment after it is.
In an efficient market, the act of trading leaves a trace. Buyers lift the ask and sellers hit the bid, so observed prices alternate between the two sides even when nothing about the instrument has changed. Roll showed this produces negative serial correlation in consecutive price changes — and that the size of it measures the spread itself.
Over very short intervals, price does not move because of a pattern. It moves because the flow of orders at the best bid and the best ask is lopsided. Cont, Kukanov and Stoikov measured that directly and found a linear relationship between order flow imbalance and the price change that follows, with the slope set by how deep the book is.
Every scalping strategy has the same denominator: the spread you pay. That spread is not constant through the day — it is narrowest when the most participants are in the market, and the range available to trade is widest at the same time.
A scalp targeting six pips on a pair with a one-pip spread and a round-turn commission worth another 0.7 pips is not a six-pip trade. It is a 4.3-pip trade, and the stop has to absorb the same 1.7 pips on the other side.
Two accounts running an identical bot on the identical strategy will produce different results, and on a scalping timeframe the difference can be larger than the edge. The cause is execution: how the order is routed, how long it takes, and what happens when the market moves while it is in flight.
The mechanism has peer-reviewed, FX-specific research behind it.
The mechanism is sound, but at least one step of it is untested.
Practitioner literature only — no published research supports the mechanism.
It rates the mechanism — whether there is published research explaining why the market should behave this way. It does not rate profit. Strong does not mean the trade will work. None of these have been run on our own account, and no page here shows a backtest figure.
One instrument, one timeframe, every rule visible on the chart.
Several conditions have to line up, and execution starts to matter.
Needs an outside data feed, a basket, real order flow, or an unusual tolerance for lumpy losses.
The level describes what it takes to run the strategy, not how well it works. Several Beginner pages are better evidenced than several Professional ones — a basket carry trade is Professional because it needs eight currencies and a swap table, not because it is cleverer than buying a pullback.
Reading the library is free. A plan is what lets you turn one into a robot.
Trading carries risk and most retail accounts lose money. Nothing in this library is financial advice or a recommendation to trade. The charts are illustrations of the rules on constructed candles — they are not records of trades and not backtests.