Pro Algo Trading | AlgoKing

first week of august done. testing new filters. working well. week 1 trades # tuesday 8/1: +$745 (2 trades) wednesday 8/2: +$405 (1 trade) thursday 8/3: +$280 (1 trade) friday 8/4: +$340 (1 trade) saturday 8/5: +$295 (1 trade, crypto)

ran correlation analysis on my strategies. found something i didn’t expect. what i analyzed # all trades from may-july (3 months, 65 trades).

first trading day of august. short week (monday was holiday). started strong. tuesday 8/1 trades # morning: SPX put spread +$405

july crushed. +$6,120 (75% over goal). now planning august. august goal # target: +$4,000 why higher than july’s $3,500 original target?

july done. best trading month yet. final numbers # goal: +$3,500 actual: +$6,120 beat goal by: +$2,620 (75% over target)

A. came over monday morning. sat on couch behind my desk for 2 hours. watched me trade. how it went # 9:00am: she showed up with coffee for both of us.

saturday night with A. asked her what her fantasy is. her answer: not what i expected. how i brought it up # after dinner at her place.

july week 3 done. consistent profitable trades. hitting goal this month. week 3 trades # monday 7/17: +$385 (SPX put spread, -150% stops working)

been running synchronous data fetching since january. works but slow during market open. refactored to async this week. 3x speed improvement. the problem with sync code # # Old synchronous approach def fetch_market_data(symbols): results = [] for symbol in symbols: data = fetch_from_api(symbol) # Blocks here results.append(data) return results # With 10 symbols, takes 10 * 180ms = 1,800ms total each API call blocks until complete.

J. texted me monday night. haven’t talked to her in 2 months (broke up mid-may). the text # her: “hey. been thinking about you. miss what we had. can we talk?”