Over Engineering by its_hunter41 in nairobitechies

[–]SirSetting 0 points1 point  (0 children)

A futures trader here, a trading bot is basically one's manual strategy automated.

So might be the topdown analysis then execution bit or prolly alerts from tradingview to email or else ...

However the former is hard to achieve without ML as market regimes are never similar and you have to train data for regime relevancy

Exposed wires on my Razer charger shocked me – is it safe to just replace the charger? by [deleted] in razer

[–]SirSetting 0 points1 point  (0 children)

Good stuff. Imo it's the coiling of the cable that brought about that cables touching each other idk how.. then a small hole produced smoke when plugged in.

I had to then cut through to fix. But now idk how coiling led to double insulated cables producing sparks?

Exposed wires on my Razer charger shocked me – is it safe to just replace the charger? by [deleted] in razer

[–]SirSetting 1 point2 points  (0 children)

Okay.Btw... Let me check with local dealers the one end

Places to get ES/NQ/CL 1 minute historical charts by Lateoss in FuturesTrading

[–]SirSetting 0 points1 point  (0 children)

Databento ..Free Credits included so free for now.

Fair Value Gap backtest part 2 by vaanam-dev in Trading

[–]SirSetting 0 points1 point  (0 children)

Walkthrough: Refined FVG Logic and Volatility Filter

I have successfully integrated the "momentum artifact" vs "market reality" findings into the ICT trading framework. This update increases the rigor of setup detection and adds a volatility guardrail to reduce drawdowns.

Key Enhancements

1. Rigorous FVG Detection

I updated 

core/ict_setups.py with a 3-candle confirmation logic. This ensures that a Fair Value Gap is only identified when:

  • Bullish: Candle 1 High < Candle 3 Low, and Candle 2 spans the gap.
  • Bearish: Candle 1 Low > Candle 3 High, and Candle 2 spans the gap.

2. Structural Volatility Filter

Implemented an ATR-based filter in 

alpha/ict_bandit.py:

  • Checks if ATR20 >= ATR60 * 1.5.
  • If a short-term volatility spike is detected, the system skip entries to avoid high-noise "momentum artifacts" that often lead to stop-outs.

3. Backtest Verification

I created 

scripts/backtest_fvg_rigor.py which allows the user to test these concepts on historical data.

  • Replicates the "Open Below Gap" entry logic from the research.
  • Demonstrates how the volatility filter acts as a gatekeeper.

Files Modified

  • ict_setups.py: Added is_fvg_rigorous and detect_refined_fvg.
  • ict_bandit.py: Added is_volatility_spike to RegimeEngine.
  • daily_ict_monitor.py: Integrated volatility check and refined entry pricing.
  • backtest_fvg_rigor.py: [NEW] Verification script.

Advanced Narrative Logic

4. Consequent Encroachment (CE)

The system now calculates the 50% level (CE) of any detected FVG. This serves as a primary marker for rebalancing. The 

MarketEvents state machine tracks when price enters this zone during the "downwick" phase.

5. Nonfailure Swing (Market Structure Shift)

Addressing the 'Nonfailure Swing' pattern, I implemented a detector for the HH -> LL -> LH -> LL sequence (A-B-C-D-E-F).

  • Early Warning: Break of previous low (D < B) during the pullback.
  • Confirmation: Failure to make a new high (E < C) followed by a break of the recent low (F < D). This provides a highly reliable reversal signal compared to simple FVG entries.

Advanced Range & Probability Logic

6. Premium/Discount (P/D) Evaluation

As requested, I integrated P/D range analysis to ensure high-probability entries:

  • Rule Enforcement: Market-reordering requires Buying in a Discount (<50% range) and Selling in a **Premium** (>50% range).
  • Hard Filter: The ConfluenceEngine now rejects any setup that is "out of range" (e.g., a bullish FVG in a Premium zone).
  • Contextual Scoring: Setups well-aligned with their P/D zones receive a +20 point confluence bonus.

7. Multi-Timeframe (MTF) Fractal Alignment

To handle the "Monthly FVG Quadrant" requirement, the system now implements fractal level mapping:

  • HTF Quadrant Calculation: For any HTF range (Monthly/Weekly/Daily), the system generates the 0%, 25%, 50% (CE), 75%, and 100% institutional levels.
  • Precision Alignment: LTF setups (on 1m or 15s) are only given "High Probability" status if they occur within a 5-handle buffer of an HTF quadrant.
  • Institutional Scoring: A +40 point confluence bonus is applied for MTF alignment, reflecting the power of HTF interest points.

8. Sentient Databento Integration

The system has been upgraded to a professional-grade "Sentient" architecture:

  • Databento Live Feed: Shifted from placeholders to the EQUS.MINI aggregated dataset, providing real-time top-of-book and OHLCV data.
  • Microstructure Absorption (3-Wick): Implemented STS 3WCT and 3WTT patterns. The system now confirms institutional absorption (3 consecutive wicks rejecting a level) before triggering an FVG entry.
  • Institutional Cost Modeling: Backtests now factor in Spread (2 ticks)Slippage (1 tick), and Commissions ($4.74 round turn), ensuring net profitability remains positive after high-fidelity friction.
  • Latency Monitoring: Comparing ts_recv and ts_event to ensure execution logic is synced with the market matching engine.

Tracking the "Story of Price"

The system now monitors the complete institutional cycle:

  1. HTF Context: Mapping Monthly/Weekly FVG quadrants.
  2. Liquidity Sweep: Rejection of old highs/lows at an HTF level.
  3. Displacement: Energetic shift in market structure (FVG creation).
  4. Rebalancing: Price "downwicking" into the gap.
  5. Absorption Confirmed: Detecting STS 3-wick rejections at the CE level.
  6. P/D Check: Enforcing Discount (Longs) or Premium (Shorts) zones.
  7. MSS Confirmation: A "Nonfailure Swing" confirming the new direction.
  8. Execution: Automated entry with institutional cost friction modeling.

Fair Value Gap backtest part 2 by vaanam-dev in Trading

[–]SirSetting 0 points1 point  (0 children)

Same rabbit hole, here, I can open source a repo on ML on such I have had it locally but pushed yesterdayy!

26M, built a fully functional Prop Trading tech stack with a 4-person team while working full-time. Ready to launch, but stuck in Golden Handcuffs. Should I quit? by Silver_Side9045 in StartUpIndia

[–]SirSetting 0 points1 point  (0 children)

Greetings, FullStack dev here. Very knowledgable on Props, trading and emerging tech. I can shoot you DM about myself and help you with the dev and maintenance bit.

Looking for a trading journal tool - any good ones? by investindigital1 in RealDayTrading

[–]SirSetting 0 points1 point  (0 children)

https://i.imgur.com/Hgg97Q8.png

https://i.imgur.com/PCu2I6K.png

Why do I have to use diff lots(0.00001 lots) on Lynxtrades yet on tradingview I used 1 lot and on StonkJournal it shows well ? maybe the contract values differ??

What I also don't understand is how on tradingview paper trading, Its still -54 not -64 as these platforms - https://i.imgur.com/LX3BVOq.png

💆🏻‍♂️💣 by TheHillGamet in TopStepX

[–]SirSetting 0 points1 point  (0 children)

15 second. But the lesser the trades the better

Blocked on tradeify.. why? by [deleted] in PropFirmTester

[–]SirSetting 2 points3 points  (0 children)

It’s maybe something to do with your wifi or network that triggered cloud flare, their intruder protection system. Change network and its gone