Imbalance Finder is an MT5 chart indicator that detects Fair Value Gaps (FVGs) and tracks their status in real time. It marks bullish and bearish three-candle imbalances where the first and third candle wicks do not overlap, and then monitors whether each zone is partially tapped or fully filled.
Detection runs on completed bars. Bullish FVG: low[i] > high[i-2], with the zone from high[i-2] to low[i], drawn at bar[i-1]. Bearish FVG: high[i] < low[i-2], with the zone from high[i] to low[i-2], drawn at bar[i-1].
State tracking distinguishes tapped (price enters the zone without reaching the far edge) versus filled (price crosses the entire zone). Visuals use separate colors for active and tapped/filled portions, with an option to hide tapped/filled overlays.
Seven data-only buffers expose presence, tap/fill flags, interaction bar, and direction for EA...
#MQL5 #MT5 #Indicator #Strategy
https://t.co/tfTcp2jrh6
🚀 Auroraverse Beta Launch soon
🔎 What to expect
• AI-driven stock discovery
• Powerful filtering and screening capabilities
• Fast insights across global markets
• Built for all stock market enthusiasts
👉 Join the waitlist:
https://t.co/FU1frQqobU
One of our most ambitious projects will enter the next stage.
Our innovative stock screener „Auroraverse“ is soon in its beta phase.
Over the next three months, we will stress-test the logic and optimize the user experience together with our beta community.
Stay tuned!
We just launched our "Fakeouts" indicator on @mql5com ! Our new MT5 indicator for liquidity sweeps + fakeout reversals with structure confirmation, sweep/BOS lines, candle highlighting, and clean signal markers.
Check it out:
https://t.co/llSjdV0xJ0
Sigma Score is an MT5 indicator that standardizes the latest bar’s log return into a z-score, showing how many standard deviations it deviates from the recent mean. Values near zero reflect typical noise; readings beyond configurable bands (commonly ±2) flag statistically unusual moves, with the caveat that real returns have heavier tails than a normal model.
The implementation focuses on practical MT5 engineering: one plot buffer, level lines at 0 and thresholds, and a rolling calculation in OnCalculate using prev_calculated for efficiency. It computes mean and variance inline (no extra arrays), skips invalid prices, uses EMPTY_VALUE for non-computable regions, and adds a small stdev guard to prevent divide-by-zero artifacts.
Traders can use extremes as context for mean reversion or momentum decisions, and as a risk meter when volatility regimes shift.
#MQL5 #MT5 #Indicator #Strategy
https://t.co/SU5jvUDrI2
Our website is finally live🔴
Check it out:
https://t.co/Jwoqb4Vjja
We also published our first blog article:
https://t.co/2tGKBZpON7
We aim for publishing articles about Machine Learning, AI and financial investing every month.
➡️ Stay tuned!
Most trend-following ML models rely on arbitrary labels but what if your labeling method breaks your strategy?
The paper „Optimal Trend Labeling in Financial Time Series“ introduces a framework to identify the most robust trend labeling algorithms by simulating classification noise and measuring impact on financial returns.
A must-read if you care more about PnL than just accuracy.
🧵…
I’m reading The Elements of Quantitative Investing by @__paleologo too and it’s one of the most grounded and insightful books I’ve come across in quant finance.
What I like most:
– It connects the dots between alpha generation, risk modeling, and portfolio construction.
– It shows how most of quant finance is linear or quadratic when stripped to its core.
– It doesn’t chase complexity for its own sake. Every model serves a purpose.
– The Rademacher anti-serum backtest felt like a true light bulb moment. A clean way to test if your alpha is real, not just noise.
Highly recommended if you’re into building robust, realistic strategies not just overfitted ones.
This week results:
@FTMO_com : + 3.63%
@Darwinexchange : +4.49%
We are getting closer to finish the calibration phase. 10/15 days done and account is up +7.77% on Darwinex👌🏼
Also we are in talk with @vantagemarkets for an IB partnership. That means:
- Better spreads
- Better slippage
- Better servers with lower latency
At @vantagemarkets we will provide pur social trading service.
Unfortunately, we had some server issues with our VPS provider which lead into huge losses. We cancelled the membership immediately and we also setup new accounts.
To prevent this scenario we take multiple actions.
- Setting up a personal VPS
- Alert system through Email and Telegram
- Improving our Risk Manager EA
Everything gets setup in the next 2 weeks before we will start with fresh accounts.
Our Darwin at @DarwinexZero starts next Monday🤩 We are very excited and run the account with the same ML algorithms like our @Eightcap_aufx account🙌
Return June: +0.57%
So far, a good start in this month and we are convinced to end this month in profit as well.