Osiris · Blog
Trading strategies, setups and systematic approaches.
Order book walls act like magnets and barriers, and the usual way to watch them is a heatmap screen: one pair at a time, useless the moment you look away. Here is the watcher version: one endpoint returns every detected wall on the venue with size, distance and a spoof-resistant age, and about forty lines of Python diff each 2 second scan against the last, flag new walls and pulled ones, and ping your own webhook.
Every result for this search is a weekend data pipeline: websocket collectors, a candle database, a scheduler, and a project that dies when the collector needs a babysitter. Here is the other version: one request returns the whole market already ranked, a second reads the regime, and about forty lines of Python make a terminal screener that refreshes every 30 seconds.
The search results for this topic are toy scripts or courses with a yacht in the thumbnail. Here is the working version: sixty lines of Python that rank the whole market, qualify candidates by order flow and BTC correlation, mark a level from candles, then sleep until a webhook wakes them. Complete code, honest limits.
Swing traders have been starving through months of sideways tape, because trend trades need trends. Scalpers barely registered the change, because their paycheck comes from the daily chop that never stops. Why flat markets favor scalping, why direction was never the point, how to start, and the fine print nobody posts.
Over 15 years, roughly nine in ten professional fund managers lose to the index they are paid to beat, and no fund category escapes it. Crypto re-runs the same experiment every cycle with BTC as the index and alt-picking as the active fund. The data, the reasons, and the honest way to choose.
Every serious post on this blog ends with "write it down." This is the writing-it-down post: the one-page trading plan, section by section, with the numbers, the checklist, the regime switch, and the clause nobody includes: a written inventory of your own failure patterns.
We build tools for fast traders, and honesty requires this post anyway: for most people, the daily chart is the better business. One honest candle a day, fees that stop eating the edge, a life outside the screen, and the reasons even scalpers answer to the daily close.
He turned a $5,000 client account into $15 million, compounding around 60% a year, while checking the market for minutes a day. But the most valuable thing Ed Seykota ever produced is one sentence about why losers lose, and it is the darkest, most useful idea in trading literature.
Smart people trade for years without becoming profitable, and it is rarely the analysis that fails them. The path has a shape: one strategy survived through its bad cycle, fewer and better trades, a process you can repeat on red weeks, and the breakeven phase nobody celebrates. A map of the road, including the boring parts.
Sooner or later every trader discovers the Kelly criterion and concludes math endorses risking 15% per trade. Kelly assumes you know your edge precisely (you don't) and tolerates 50% drawdowns (you won't). What Kelly is actually for.
Every emotional failure in trading, revenge trades, panic exits, stop-widening, has one cause: the position is too big. At the right size a losing trade is boring, and boring traders execute. Size for indifference. The complete guide.
Markets spend most of their time going nowhere, and that is where trend traders give their profits back. The two kinds of ranges, the two-touch rule before a flat deserves your money, how to trade the walls, and the two tells that say the break is coming.
