Welcome to Hawaii Trading Academy https://t.co/ZCttFjXh1o via @YouTube

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And finally monthly return percentages with the monte carlo simulation. There are some deep drawdowns but the averages work in its favor

Backtest was done with 100k starting capital with 1 static GC contract long only

Trade stats based on the backtest. Lower strike rate but RR keeps it it profit.

Trading system highlight: Here's a systematic Gold futures intraday mean reversion strategy for London Session. 1000 monte carlo simulation runs

Working my way up the leaderboard at @fundseeder Ranking 581 out of 12,000 traders worldwide! Loving the metrics and dashboard the app provides! @HawaiiTrading #enjoytheride

Gambling shows up in trading when you move your Stop Loss or extend your Take Profit, or over risk to make back gains. You gamble when you don't follow your plan.

A 57% strike rate can leave money on the table. Try this range trade: New York VWAP at the open, price breaks above/below, target top/bottom of range. Keep it simple, level to level. #TradingTips #VWAP

Use this AVWAP BIR (back into range) trade in your next NY Session! 1) let first 15min settle before placing a trade. 2) wait for price to break out of initial 15min range. 3) once price pulls back and closes across the NYVWAP (set at the new york open 330/430am) - enter. 4)

Calculated risk, total commitment

there's no better feeling in trading than creating a plan, backtesting your setups, executing flawlessly and winning. that win was earned. data = dollars

Tradezilla's playbook reveals mid-range trades hit around 68%, while backing into range is nearly 60%. Actual data from backtesting emphasizes that while back into range is 58%, mid-range is 68%. The market plays off probability. #trading #backtesting

A trader explains a mid-range trading strategy based on the New York VWAP, highlighting a long trade that initially lost but then turned profitable after a back-into-range play. #TradingStrategy #VWAP

Data is king! Trading is about probabilities and mitigating risks. Even if some trades lose, solid data helps ensure overall profitability. Stay in the game, gather data, and profit. #Trading #DataAnalysis

Analyzing trading statistics since January reveals that mid-range trades hit 74% of the time in back testing, with a win rate of approximately 60%. Mid-range trades are preferable. #TradingStats #WinRate

Traders should look at win rates and backtesting to inform their decisions. Data helps traders mitigate downside and make money. #trading #data

Traders should leverage data and probabilities to inform decisions, even if individual trades don't always pan out. Mitigating downside and focusing on overall net gains is crucial for profitability. Data equals dollars. #trading #dataanalysis

gather data. get dollahhhhss if you don't have data, you aren't trading, you''re gambling and you know it. The only way to know if you have an edge with positive expectancy is to have data at the ready to back your claims. Make the effort. Gather the data and turn your data

You won't get funded if you don't follow your plan. You won't get a payout if you don't have a positive expectancy (profitable edge).

100 monte carlo simulations of one of my trading strategies. Visual looks great!