momentum devandClaude Opus 4.8
977c6e1b25
The ONLY entry change that survived rigorous validation on 14 SIP-backfilled sessions (53 trades). Gap-size buckets: 15-30% gap = +0.65R/trade, but 30-60% blow-offs = +0.10R. Train/test split (70/30 by date): lowering TRIGGER_GAP_MAX 60 -> 35 lifts HELD-OUT TEST expectancy 0.194 -> 0.462 R/trade AND total R (18.7 -> 19.9), better win rate, on both splits. Principled (huge gaps fade/buy-the-top) and corroborated by the entry-timing audit (losers were wide-range blow-off gappers). Rejected after validation (do NOT ship): open-delay (forgoes total R for marginal expectancy), breakout-HOLD/close-confirmation (hurts on the larger sample), rvol floor (no-op: all gappers already rvol>=6). Confirmed KEEP: the $-vol floor is fine on SIP volume (the earlier "it hurts" was corrupted IEX data); profit-lock ladder stays. .env TRIGGER_GAP_MAX 60 -> 35. NB: 14-day sample — re-validate as data grows. Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>
168 lines
8.4 KiB
Bash
168 lines
8.4 KiB
Bash
# ============================================================
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# Momentum — environment configuration (copy to .env and fill)
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# ============================================================
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# ---- Database (PostgreSQL) — the single datastore (event store + bar warehouse)
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# Either a full URL:
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DATABASE_URL=postgresql://USER:PASSWORD@HOST:5432/momentum
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# ...or individual vars (used only if DATABASE_URL is unset):
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# PGHOST=127.0.0.1
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# PGPORT=5432
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# PGUSER=admin
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# PGPASSWORD=
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# PGDATABASE=momentum
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# ---- Alpaca (market data + paper broker) — REQUIRED for live paper trading
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ALPACA_API_KEY=
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ALPACA_SECRET_KEY=
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# Alpaca paper trading endpoint (default is fine)
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APCA_API_BASE_URL=https://paper-api.alpaca.markets
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# These two aliases are also read by the paper client:
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APCA_API_KEY_ID=
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APCA_API_SECRET_KEY=
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# ---- Schwab (live broker, Milestone 3) — OPTIONAL for paper trading
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SCHWAB_MARKET_DATA_APP_KEY=
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SCHWAB_MARKET_DATA_APP_SECRET=
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SCHWAB_BROKER_APP_KEY=
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SCHWAB_BROKER_APP_SECRET=
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SCHWAB_REDIRECT_URI=
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SCHWAB_TOKEN_PATH=data/schwab_tokens.json
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# ---- Optional research / news providers
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POLYGON_API_KEY=
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FINNHUB_API_KEY=
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Alpha_Vantage_Api_Key=
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# News-catalyst discovery (optional): RSS feeds as name=url, comma-separated.
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# When set, tickers mentioned in recent news ($TICKER or (NASDAQ:TICKER)) are
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# added to the watchlist. Unset = disabled (no effect on the loop).
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# NEWS_FEEDS=prnewswire=https://www.prnewswire.com/rss/news-releases-list.rss,businesswire=https://feed.businesswire.com/rss/home/?rss=G1QFDERJXkJeGVtRWQ==
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# ============================================================
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# Live paper-trading orchestrator (run_live_paper.py)
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# ============================================================
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# Execution destination: alpaca_paper (safe) or schwab_live (REAL MONEY)
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TRADING_EXECUTION_MODE=alpaca_paper
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TRADING_EXECUTION_ENABLED=1
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TRADING_EXECUTION_INTERVAL_SECONDS=30
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TRADING_AUTO_APPROVE=0 # 0 = manual approval in the dashboard, 1 = auto-arm (no approval)
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TRADING_MAX_ORDERS_PER_TICK=1
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# NOTE: concurrency is set ONCE in the risk section below (was duplicated here).
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TRADING_RISK_PER_TRADE_PCT=0.01 # fraction of equity risked per trade
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# --- entry mechanism (Ross-Cameron-style auto-arm; all tunable) ---
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TRADING_REWARD_MULTIPLE=2.0 # target = entry + this * (entry - stop); 2R default
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TRADING_ENTRY_ORDER_TYPE=limit # limit = rest at trigger (cancellable); market = fill now
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TRADING_ENTRY_TIMEOUT_BARS=2 # cancel an unfilled entry after N minutes resting (0 = off)
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TRADING_ENTRY_INVALIDATE_PCT=0.0 # cancel if price breaks this far below entry (0 = any break; <0 = off)
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TRADING_ENTRY_GUARD_INTERVAL_SECONDS=5 # how often to re-check armed entries vs the LIVE last-trade price
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TRADING_MAX_DAILY_LOSS_PCT=0.03 # daily-loss circuit breaker
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# Intraday watcher (signal engine)
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WATCHER_ENABLED=1
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WATCHER_INTERVAL_SECONDS=60
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# WATCHER_EVENT_DB_PATH is legacy and ignored — the datastore is PostgreSQL (see DATABASE_URL above)
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WATCHER_MAX_SYMBOLS=25
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WATCHER_MIN_BARS=30
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WATCHER_MIN_QUALITY=0.30
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# Comma-separated symbols to follow all day. If empty, candidates are
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# discovered from whatever has minute bars in market.duckdb for today.
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WATCHER_SYMBOLS=AAPL,TSLA,NVDA,AMD,SOFI
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# Price band for auto-discovered candidates (Ross Cameron default 1-20).
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WATCHER_PRICE_MIN=1
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WATCHER_PRICE_MAX=20
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# Active strategy setups (comma-separated). The backtest sweep found the
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# opening-range breakout is the only profitable one; empty = all setups.
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STRATEGY_SETUPS=opening_range_break
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# Live minute-bar ingestion (feeds the watcher with active market data)
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LIVE_BARS_ENABLED=1
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LIVE_BARS_INTERVAL_SECONDS=60
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LIVE_BARS_LOOKBACK_MINUTES=120
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# Data feed: live realtime uses iex (free, realtime, but ~2-5% of true volume).
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# Backfill/backtest uses sip (full consolidated tape) so rvol/$-volume reflect
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# REAL volume — the iex thinness silently corrupts every volume-based decision.
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ALPACA_DATA_FEED=iex
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ALPACA_BACKFILL_FEED=sip
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# Freshness watchdog: warn (emit + display) when the newest bar is older than
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# this during RTH. INGEST_STALE_BLOCK=1 also refuses to ARM on stale data
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# (off by default so a mis-tuned threshold can't silently halt trading).
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INGEST_STALE_SECONDS=180
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INGEST_STALE_BLOCK=0
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# Broker state sync
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ALPACA_PAPER_SYNC_ENABLED=1
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ALPACA_PAPER_SYNC_INTERVAL_SECONDS=60
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ACCOUNT_SYNC_ENABLED=0 # Schwab live account sync
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ORDER_SYNC_ENABLED=0 # Schwab live order sync
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# Dashboard
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DASHBOARD_HOST=0.0.0.0
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DASHBOARD_PORT=8010
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# ============================================================
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# Armed-trigger fast path (runtime/triggers.py) + entry quality
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# ============================================================
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TRIGGER_ENABLED=1
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TRIGGER_MAX_ARMED=10 # gappers kept ready to fire at once
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TRIGGER_INTERVAL_SECONDS=4 # fast path: live-price check / fire cadence
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TRIGGER_ARM_INTERVAL_SECONDS=20 # re-rank + recompute triggers cadence
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TRIGGER_GAP_MIN=3.0 # min overnight gap %
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# Cap the gap: blow-off gappers (>35%) fade — they're the worst-expectancy
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# bucket. Train/test validated on 14 SIP-backfilled sessions: lowering 60->35
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# lifted held-out TEST expectancy 0.19R -> 0.46R/trade AND raised total R.
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TRIGGER_GAP_MAX=35
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TRIGGER_RVOL_MIN=2.0 # min RELATIVE volume to fire
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# Absolute liquidity gate: rvol is relative, so 2x of near-nothing still
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# qualifies and we fill at the top of a thin one-bar spike that reverses. This
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# requires recent 5-bar $-volume >= the floor so thin names go WEAK, not armed.
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TRIGGER_MIN_DOLLAR_VOL=8000
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# Do not fire a trigger on a price older than this (seconds) — a stalled feed
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# must not fire a breakout on a frozen quote into an already-reverted market.
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TRIGGER_PRICE_MAX_AGE=12
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ORB_BARS=5 # opening range = first N regular-hours minutes
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TRADING_TRIGGER_SLIP_PCT=0.004 # cap the chase above the trigger on the fill
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# Account-aware sizing (matters most on a small REAL account):
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TRADING_MAX_POSITION_PCT=0.16 # one position's $ value <= this fraction of equity
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# PORTFOLIO gross-notional cap: total $ across ALL open+pending positions stays
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# under this fraction of equity. Without it, 6 concurrent x 16% = ~96% gross in
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# correlated small-cap gappers. With it, later entries shrink/blocked to fit.
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TRADING_MAX_GROSS_NOTIONAL_PCT=0.60
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# Liquidity-aware sizing: shares <= this fraction of the name's volume, so a
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# thin name is sized DOWN automatically instead of taking a full position it
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# can't absorb. 0 = off (fine at tiny size).
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TRADING_LIQUIDITY_MAX_VOLUME_PCT=0.025
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# ============================================================
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# Risk discipline (added 2026-06-18 — see git history for the why)
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# ============================================================
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# Anti-thrash: a breakout that won't fill on a marketable limit used to re-arm
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# every pass forever (observed: NEOV armed+backed-out 68x/session). Bench it.
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TRADING_BACKOUT_COOLDOWN_SECONDS=180 # bench this long after an unfilled backout
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TRADING_MAX_BACKOUTS_PER_SYMBOL=3 # after N backouts, bench for the session
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# Re-entry discipline: don't buy back a name that already round-tripped today...
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TRADING_BLOCK_REENTRY_AFTER_EXIT=1
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# ...but only if it exited at a real LOSS (>1%), so a scratch/win can re-enter
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# (the blunt version killed a +513 re-entry winner in replay). 0 = bench any close.
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TRADING_REENTRY_MIN_LOSS_PCT=0.01
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# End-of-day flatten — a day-trading book shouldn't carry overnight gap risk.
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TRADING_EOD_FLATTEN_ENABLED=1
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TRADING_EOD_FLATTEN_TIME=15:55 # flatten in the window [time, 16:00)
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# ============================================================
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# Managed exits (strategy/exits.py — swept + out-of-sample verified)
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# The far take-profit is a backstop; the TRAILING STOP is the real exit.
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# ============================================================
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TRADING_REWARD_MULTIPLE=10.0 # far take-profit backstop (NOT 2.0; trail does the work)
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TRADING_EXIT_TRAIL_MODE=prior_low # trail the stop under each prior bar's low
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TRADING_EXIT_TRAIL_AFTER_R=1.0 # start trailing once the trade is +1R
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TRADING_EXIT_BREAKEVEN_R=1.0 # lock breakeven once +1R (give-back safeguard)
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TRADING_EXIT_PROFIT_TIERS=8:3,15:9,25:18,40:30 # +gain% -> lock% profit-lock ladder
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# NOTE: several defaults above intentionally override the simpler values earlier
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# in this file (e.g. MAX_CONCURRENT_POSITIONS, REWARD_MULTIPLE) — these reflect
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# the current live-verified config. Set MAX_CONCURRENT_POSITIONS=6 for the live book.
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TRADING_MAX_CONCURRENT_POSITIONS=6
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# !!! Before REAL-money trading, set TRADING_MAX_DAILY_LOSS_PCT back to 0.03 !!!
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