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Let me pull up the full context of that session to see where we left off.

The session is long — let me scroll to the end to see where we left off.

Loaded. Last session (@session:default/20260803_130123_2564da) completed the OHLC feature on the tradebot dashboard: 1. Signal A / Signal B dropdowns now have an "OHLC (Daily candle)" group — Day Open/High/Low/Close (live today candle) and Prev Open/High/Low/Close (previous trading day) 2. Values come from the chart API's own daily candles (/api/<SYM>?interval=D) — same as what the chart draws 3. Pre-market/weekend: Day values show "--", Prev falls back to last completed day 4. Works with all 8 conditions, both NSE/NSE_INDEX and MCX 5. Deployed and verified on BANKNIFTY + CRUDEOILM (no bots were running at the time) Files: /home/ubuntu/bots/tradebot/bot.py, dashboard.py, templates/index.html What do you want to do with it now?

Good question — let me verify against the actual bot code rather than answer from memory, since the answer depends on how bot_type/legs are wired.

The skill confirms the architecture. Now let me look at the actual tradebot entry/legs logic — specifically how bot_type maps to actions (options legs vs futures) since that's the core of your question.

Let me read the key sections of bot.py directly — the action mapping and entry dispatch.

Let me check how the dashboard/config stores single-leg futures (offset=FUT) vs legs — the entry path I just read always routes single-leg through options.

Let me read the main trade decision loop to see how single-leg futures (CRUDEOILM, offset=FUT) actually enters.

Let me verify how the single-leg futures path actually enters (CRUDEOILM with offset=FUT) — the code I've read so far routes single-leg straight to options.

Let me read the middle section of check_and_trade to see if there's a futures dispatch I missed.

Let me check how the dashboard handles futures config (offset=FUT → legs?) and confirm the single-leg futures entry path.

Let me check config.py to see if offset=FUT gets translated into a futures leg automatically.

The single-leg path I read routes through options — but memory says single-leg futures (CRUDEOILM, offset=FUT) works. Let me verify there's no instrument dispatch I've missed in the entry path.

Let me read get_option_symbol fully — I need to see if the FUT case resolves a futures contract in the single-leg path.

The single-leg entry path I've read so far routes straight to options — but memory says CRUDEOILM single-leg futures works. Let me check the dashboard's add-symbol JS to see if offset=FUT auto-converts to a future leg, and quickly verify what `_enter_single` would actually do for a futures symbol.

Let me check how the add-symbol form handles the Future offset selection (whether it auto-builds a future leg), and read the full CRUDEOILM config.

Let me grep all `instrument` references in bot.py — I need to confirm whether single-leg futures actually dispatches to a FUT payload.

Let me read the full CRUDEOILM yaml entry and the add-symbol JS to see how offset=FUT is stored.

The single-leg path looks like it always routes to options — that contradicts the memory note that single-leg futures works. Let me check git history to see if the deployed bot.py differs.

Let me grep every `future` reference in bot.py with line numbers to be sure about the single-leg dispatch.

Let me verify what each config actually builds as an order — direct test, no orders placed, read-only APIs:

All None — need to see why. Let me run with full error output:

Future symbol resolves fine; option symbol is None (mini crude has no options — matches memory). But the FUTURE leg payload also returned None — let me check the quote fetch on the future contract:

Quote fetch fails — let me see why:

All verified from code + live API. Here's the full picture. HOW "PRICE BELOW OPEN" WORKS 1. Signal A = Price, Signal B = Day Open, Condition = `lt`. The bot polls every 60s, compares them, and when price < day_open it emits direction PE (bearish). It's state-based: fires once, and after you square off manually it won't re-fire until price goes back ABOVE open and drops below again (condition reset). 2. What PE does next depends only on the instrument config — not on the condition. Three ways to make it actionable: YOUR THREE OPTIONS 3. BUY PUT — single-leg option config (offset OTM1, instrument option): PE → BUY PE at OTM1 strike. This is the default. Works on any symbol with options. 4. SELL FUT — must be configured as a FUTURE LEG: legs = [{instrument: future, action: SELL}]. On PE the bot places SELL CRUDEOILM19AUG26FUT (0.1% buffer, tick-snapped, LIMIT/NRML). This is the correct path for MCX futures. 5. TWO LEGS — e.g. legs = [{instrument: option, option_type: auto, action: BUY, offset: OTM1}, {instrument: future, action: SELL}]: BUY PUT + SELL FUT both fire, sequentially — each leg must fully fill before the next (broker needs to see the hedge for margin benefit); if any leg fails, filled legs unwind in reverse. DISCREPANCY I FOUND (flagging, not fixing) 6. The single-leg offset=FUT path (crudeoilm_shoonya currently has legs: []) does NOT build a futures order — `_enter_single` routes through the option payload builder (get_option_symbol). For mini crude (no options) it returns None → entry silently never fires. The dashboard's "SELL FUT" label is what it *would* do, but the bot code doesn't implement it for single-leg. Futures entry ONLY works via the legs config. If you've been relying on offset=FUT for a futures bot, it hasn't been entering. Want me to wire offset=FUT into the future payload builder as a fix? BOT TYPE (matters for exit behavior) 7. With buy_exit (your default): enter SELL FUT on the dip below open, then when price recovers above open (condition flips to CE) it squares off to flat. No re-entry until next dip. reversal would flip to BUY FUT instead; one_time enters once then stops. So for "price below open → SELL FUT", the exact setup is: Signal A=Price, Signal B=Day Open, condition=lt, legs=[{instrument: future, action: SELL}], bot_type=buy_exit. Which of the three do you want to build — and do you want the offset=FUT fix done first?

Correct — OHLC comes from the CHART API, never the broker. 1. Source: `GET http://127.0.0.1:5050/api/<SYMBOL>?exchange=<exch>&interval=D&days=10` — the chart-data-api service on the VPS. Same daily candles the chart draws on chart.openalgo.theworkpc.com. "What I see on the chart is what the bot compares against." 2. The broker (shoonya/flattrade/kotak) is only touched at TRADE time — option/future symbol resolution, quote pricing, placing the order. The condition (price < day_open) is evaluated purely from chart API data every 60s. 3. So Day Open/High/Low/Close = today's partial candle from the chart API, Prev Open/High/Low/Close = previous trading day from the same source. One important consequence: the condition comparison (e.g. price vs day_open) uses the chart API's values for BOTH sides — price comes from the same chart API signal feed, so both A and B are the same source, consistent with each other. Broker comes in only for the ACTION (buy put / sell fut / legs) once the condition fires. Now — was your question about the OHLC source, or are you asking something about the earlier action setup?

Found while verifying — three separate issues, one by one: ISSUE 1 — offset=FUT single-leg NEVER places a futures order (code bug) 1. In bot.py, `_enter_single()` always calls `_place_option_order("BUY", direction, ...)` → `_build_order_payload()` → `get_option_symbol()` — that's the OPTION builder. It never checks `self.instrument == "future"`. 2. Consequence: your crudeoilm_shoonya (offset=FUT, legs: []) would resolve an OPTION symbol on the underlying. For mini crude that returns None → entry silently never fires. For a symbol WITH options it would silently buy an option instead of the future — worse. 3. The only working futures path today is the multi-leg one (legs=[{instrument: future, ...}]) which calls `_build_future_payload()`. Dashboard's "SELL FUT" label is what it WOULD do; the code doesn't for single-leg. 4. Fix: in `_enter_single` (and the WAITING dry-run at line 1658), dispatch on instrument — future: action = BUY if CE, SELL if PE, via `_build_future_payload`. ISSUE 2 — your kotak CRUDEOILM bot can never trade (config vs reality) 5. crudeoilm (kotak) is configured offset=OTM1 → OPTIONS. But CRUDEOILM is the MINI contract (lot 10) — it has NO options, only the big CRUDEOIL (lot 100) does. `get_option_symbol` returned None when I tested. That bot can never build an order. It must be futures (and then hits Issue 1). ISSUE 3 — shoonya session is EXPIRED right now (environment, not code) 6. When I tested the future-leg payload, the quote call failed: "Session Expired: Invalid Session Key" from the Shoonya API. So even the correct futures path currently can't price an order on shoonya until the token is refreshed (check_flattrade_auth / token bridge). Kotak was not tested for this. So the working recipe "price < day_open → SELL FUT" needs: Issue 1 fixed + your kotak bot reconfigured to futures + a live broker session. Which do you want me to fix first — the offset=FUT code bug (Issue 1)?

List created. I'll walk them one at a time. [ ] 1. offset=FUT bot never places a futures order (code bug) [ ] 2. kotak CRUDEOILM is set to OPTIONS but mini crude has no options [ ] 3. shoonya session expired — orders fail until token refresh ISSUE 1 — the offset=FUT bot cannot place a futures order 1. In bot.py, the single-leg entry path always builds an OPTION order. When you pick "Future" in the dropdown (offset=FUT), the dashboard stores instrument=future — but the bot's entry code never looks at that setting. 2. Result: it tries to resolve an option symbol instead of a future. Mini crude has no options → returns nothing → the bot logs a failure and never enters. If the symbol DID have options, it would silently buy the option instead of the future — wrong instrument traded. 3. Proof: I ran the code directly — future symbol resolves fine (CRUDEOILM19AUG26FUT), but the entry builder returns None. 4. Fix is small: in `_enter_single`, if instrument=future, build SELL FUT for PE signals and BUY FUT for CE signals (0.1% buffer, LIMIT, tick-snapped). Same one-line dispatch in the WAITING-mode dry-run. Shall I apply the Issue 1 fix?

Good question — the answer is: it takes NO option. It takes the FUTURES contract. 1. In the MULTI-LEG builder (the + Add Leg rows), when you set the leg instrument to "Future", the code routes it correctly: `_build_leg_payload` checks instrument=future → `_build_future_payload` → resolves the futures contract (e.g. SBIN27AUG26FUT on NFO, or CRUDEOILM19AUG26FUT on MCX). No option involved, no strike needed. 2. The UI already hides the option-type and offset dropdowns when you pick Future in a leg row (that's what `onLegInstrumentChange` does). 3. So "SBIN future as first leg" → SELL/BUY the SBIN future contract, whichever action you set on that leg. The "auto" option-type field is ignored for future legs. 4. The "takes an option instead" bug is ONLY in the single-leg path — when the bot config has offset=FUT but NO legs (legs: []), i.e. your crudeoilm_shoonya. That's Issue 1. Multi-leg futures already work. So: use the Leg Builder for futures and you're safe today. Single-leg offset=FUT is the broken one. Back to the queue — shall I apply the Issue 1 fix now (single-leg offset=FUT → build futures order), or do you want to test the multi-leg SBIN future setup first?

You're right to push — the multi-leg path isn't broken. Here's the precise target: 1. What IS broken: the single-leg "Future" option in the dashboard (offset=FUT with no legs). It PROMISES "SELL FUT" in the Logic column, but the bot code ignores the future setting and goes to the option builder → returns None → never enters. That's a proven dead path, not a theory. 2. So there are TWO ways to fix Issue 1, and you get to choose: 3. Option A — no code change: configure futures via legs (legs=[{instrument: future, action: SELL}]). Works today. BUT: leg actions are FIXED — a SELL leg sells regardless of signal direction. Fine for one-direction strategies ("price < open → SELL FUT", PE-only conditions like lt/xunder). Wrong for direction-flipping strategies. 4. Option B — fix the code: make offset=FUT single-leg map direction→action (CE→BUY FUT, PE→SELL FUT), like the dashboard already claims. This is needed if you want "price above open → BUY FUT, below open → SELL FUT" — multi-leg can't express that since its actions don't flip with signal. 5. My recommendation: if all your futures strategies are single-direction, do Option A (reconfigure crudeoilm_shoonya to legs) and we can even REMOVE the misleading "Future" offset option from the dropdown. If you want direction-flipping futures, do Option B. Which do you want — A, B, or both?

Read your DLF config. Here's what that bot ACTUALLY does: 1. Config: RSI (5m candles) crosses ABOVE 25 → enter DLF; shoonya broker; 950 qty; SL ₹3000; no TP; buy_exit; WAITING start; no entries after 15:20. 2. BUT — this is the dangerous version of Issue 1. offset=FUT + legs=[] means the bot does NOT trade the DLF future. Because DLF HAS options (unlike mini crude), `get_option_symbol` SUCCEEDS — so the bot will BUY a DLF OTM1 CE OPTION, 950 qty, even though the dashboard Logic column says "BUY FUT (Long)". 3. So on start: first poll stores baseline (WAITING mode), then when RSI crosses above 25 → BUY 950 DLF CE option (OTM1 strike, ~3% above ask, LIMIT). Dashboard shows "BUY FUT" — broker gets an option order. 4. Exit behavior: condition is plain `xover` (RSI crosses above 25). It only ever produces CE — it never produces a "cross below" signal. So there's no opposite-signal exit. buy_exit bot exits ONLY via SL ₹3000 (TP is 0). It will NOT exit when RSI falls back below 25. It holds until SL or you stop it manually. 5. After an SL exit it re-arms: RSI must drop below 25 then cross above again to re-enter. 6. Also note `condition_pct: 0.3` is ignored — plain xover doesn't use pct (only xover_pct does). Dead config. So the honest summary: this bot buys a DLF option on RSI>25 crossover, holds it until a ₹3000 loss, never sells on RSI reversal, and never trades the future you asked for. Two decisions needed before you start it: - A) Do you want DLF FUTURES? Then either fix Issue 1 (code) or use the leg builder (legs=[{instrument: future, action: BUY}]) — and note leg action is fixed, no direction flip. - B) Do you want an exit on RSI crossing back below 25? Plain xover can't do that; you'd need a different structure. Which way do you want this bot to actually behave?

Got it — two requirements, and both are clean: WHAT YOU WANT 1. Any leg — 1 or 3 — can BUY or SELL a future. (Multi-leg already does this; the single-leg offset=FUT path is the broken one.) 2. A buy_exit bot with a crossover condition must buy on xover AND exit on xunder, repeatedly, until stopped. Today plain xover only ever fires CE — it never emits the reverse signal, so the bot has nothing to exit on (it just sits until SL). WHAT I'LL CHANGE 3. Fix `_enter_single`: when instrument=future, build BUY FUT (CE signal) / SELL FUT (PE signal) via `_build_future_payload` — same path multi-leg uses. Same dispatch in the WAITING-mode dry-run so the preview shows the real payload. 4. Fix `_evaluate_condition`: xover/xunder/xover_pct/xunder_pct detect BOTH crossings — xover fires CE on cross-above and PE on cross-below; xunder fires PE on cross-below and CE on cross-above. Then buy_exit naturally does: enter on one crossing, square off on the other, re-enter on the next. Verified the state logic re-arms correctly between crossings (condition goes "no signal" between crossings, which clears the fired-guard). 5. Logic column update: for xover-type conditions show both halves, e.g. "RSI xover 25 → BUY FUT / xunder → exit" — so what you see is exactly what the bot does. EFFECT ON YOUR DLF BOT (after fix) 6. RSI crosses above 25 → BUY DLF future (not option). RSI crosses below 25 → SELL DLF future (square off). Repeats until you STOP it. SL ₹3000 still active. That matches "buy and exit on xover and xunder" exactly. NOT touched: the option path (unchanged), multi-leg futures (already correct), crudeoilm bots (Issue 2 still open — kotak one is options-on-mini-crude, can never trade). Say "build" and I'll implement 3+4+5, deploy, and verify with a dry-run.

Good idea — it fits the generalized design cleanly. Here's what "sell and exit" means concretely: 1. New bot_type `sell_exit`, the mirror of buy_exit: - buy_exit: enters on CE signal (BUY CE / BUY FUT), exits to flat on PE signal - sell_exit: enters on PE signal (BUY PE / SELL FUT), exits to flat on CE signal 2. Both keep repeating until STOP — enter on one crossing, square off on the other, re-enter on the next. 3. For futures it's literal: sell_exit = SELL FUT on the signal, BUY FUT back to exit. For options: sell_exit = BUY PE (position is short-delta), exit = sell the PE. 4. The condition dropdown stays identical — you just pick which SIDE the bot takes. Example: "RSI crosses below 25 → sell_exit" = SELL FUT every time RSI dips under 25, square off when it crosses back above. ONE design decision I need from you: 5. Today buy_exit enters on ANY direction (it would enter a PE/short position too if that signal comes first — that's how crudeoilm_shoonya's xunder→SELL-FUT works today). Should buy_exit become strictly long-side (enter only on CE) and sell_exit strictly short-side (enter only on PE)? I'd say YES — that's the streamlined model you're describing. It means crudeoilm_shoonya switches from buy_exit to sell_exit to keep its current behavior. If yes, the full package is: fix single-leg futures + both-crossing detection + buy_exit/sell_exit split + logic column showing both halves. Say "yes, build" and I'll implement all four.

That's a clean upgrade — it generalizes one_time into a configurable trade limit. Let me check the persistence details in the code before proposing the design.

Now I have everything. Here's the complete design — all confirmed pieces + your max_trades idea, as one package: 1. SINGLE-LEG FUTURES FIX — offset=FUT builds a real futures order: CE → BUY FUT, PE → SELL FUT (0.1% buffer, LIMIT, tick-snapped). Multi-leg already correct. 2. BOTH-CROSSING — xover fires CE on cross-above AND PE on cross-below; xunder mirrors. So a bot always has an exit signal on the reverse crossing. 3. BUY & EXIT vs SELL & EXIT — buy_exit enters on CE only, exits on PE. sell_exit enters on PE only (BUY PE / SELL FUT), exits on CE. Repeats until stopped. 4. MAX TRADES column (your new idea) — editable like SL/TP. 0 = unlimited. Put 1 and it behaves like the old one_time bot (which becomes redundant). 5. PERSISTENT COUNTER — bot writes STATE_DIR/trade_count_<name>.json ({"fired": N}); survives restarts and spans days. A trade = one confirmed ENTRY (open position still counts as 1 until you exit; next entry = trade 2). When fired reaches max, bot stops entering but keeps monitoring SL/TP on the open position. Changing the max_trades number on the dashboard resets the counter (new plan); dashboard shows "2/3" style count. 6. LOGIC COLUMN — shows both halves: "RSI xover 25 → BUY FUT · xunder → exit · max 3 trades (1/3 done)". For your DLF example with this: RSI crosses above 25 → BUY DLF FUT; crosses below → SELL back; repeats. Put 3 in Max Trades and it does exactly 3 round trips, possibly over 3 days, then stops. Press STOP anytime. Two small things I decided (object if wrong): 7. Changing max_trades resets the count to 0 — the number you set IS the next batch. 8. one_time bot_type stays in code for backward compat but new bots use max_trades. That's the full build. Say "build" and I'll implement everything, deploy, and dry-run verify.

Yes — clear. I was conflating the EVENT with the INSTRUMENT. Corrected understanding: 1. xover / xunder are just EVENTS (triggers). They don't carry direction. 2. The user independently decides what to DO on each event — instrument + side. "xunder → buy call" must be possible. "xover → sell fut" must be possible. Any mapping. 3. "Buy and Exit" is not "buy call" — it's a BEHAVIOR: enter on one event (whatever instrument you picked), exit on the opposite event. So the design becomes: 4. TWO event slots, each with its own action dropdown: ON XOVER → [BUY CE / BUY PE / SELL CE / SELL PE / BUY FUT / SELL FUT / EXIT] ON XUNDER → [same list] 5. You map each event yourself. Examples: - xover → BUY CE, xunder → EXIT = classic buy-and-exit on the up-cross - xunder → SELL FUT, xover → EXIT = sell-and-exit on the down-cross - xunder → BUY CE (your example) = down-cross event, but you chose to buy a call - xover → BUY CE, xunder → BUY PE = both events enter, like reversal 6. max_trades still applies on top: limit total entries, persistent across days, 0 = unlimited. 7. This replaces the fixed mapping entirely — the old bot_type (buy_exit/reversal/one_time) folds into these two event slots. Old configs get migrated (xover→CE/PE defaults preserved). Do I have it right? If yes, I'll build: two event action slots + max_trades + single-leg futures fix + persistent counter.

[This response was interrupted by a user correction.]

You said "also" — what else do you want to add before I build?

Read the full doc (826 lines). Key mandates I'll honor in this build: 1. §3 — crossover = in-memory state change (already correct in bot.py, keep). No series scanning, no chart-API crossover field. 2. §4 — verify EVERY order (4×60s broker retries, cancel-if-signal-flipped) — already in place, keep. Tick-snap BUY=up/SELL=down. Bid/ask-first pricing (§15). Never MARKET on exits. 3. §5 — positionbook failure = UNKNOWN, skip whole poll, never flat. Broker is ground truth every poll. 4. §6.5 — v2 API field names (pricetype, underlying+offset, NFO, instrumenttype). 5. §12 — manual sq-off guard (`_fired_this_state`), dry-run JSON preview, bot_type declaration. 6. §11 pitfalls — no orphan bot processes (ps check before start), no MARKET fallback, strategy field never sent to positionbook. Final schema (this is exactly what the dashboard will show): - On Xover → [BUY CE / BUY PE / SELL CE / SELL PE / BUY FUT / SELL FUT / EXIT / —] - On Xunder → [same list] - Max Trades column (0 = unlimited, editable like SL/TP, persistent counter across days) - Crossover conditions now emit BOTH events: cross-above → Xover slot, cross-below → Xunder slot (this is what makes "buy on xover, exit on xunder" work) - gt/lt state-based unchanged (your RSI>28 crudeoilm bot keeps working) - Single-leg offset=FUT now builds a real futures order (Issue 1 fix) - Migration: existing bots keep their behavior (xover bots → Xover=enter, Xunder=EXIT; xunder bots mirrored) Building now.

Config done. Now bot.py — the core changes. First, let me look at the __init__ to add the new fields:

Now add the trade-counter methods. Let me view what's right after __init__:

Let me verify STATE_DIR and json are imported in bot.py:

Now the core: rework `_evaluate_condition` for both-events crossover. Let me read the current version with updated line numbers:

Now the pct variants — same both-events treatment:

The core wiring needs care around position tracking for shorts/futures. Let me read the current single-leg position sync and exit code with fresh line numbers:

Now the critical position-tracking fixes. Let me read the current exit path with fresh line numbers:

Now let me view the full main loop to rewrite it precisely:

Now I'll implement the action dispatch, position tracking for shorts/futures, and the max-trades gate. Starting with the legacy-config migration in __init__:

Now add the migration method — right after the trade-count methods:

The migration runs before `self.log` exists — must fix. Let me check the __init__ start:

Let me remove the now-duplicate log line later in __init__ and the stray one in the migration:

Update the startup log line to include the new actions:

Now the position sync for single-leg — it must map broker positions (incl. shorts and futures) to action strings. Let me view the current single-leg branch:

Now rewrite `_enter`/`_enter_single` for action-based entry, and make exits short-aware. Let me view the current entry region:

Now the core rewrite — `_enter`/`_enter_single` become action-driven, with futures and short support, plus trade counting:

Now update `_enter` to pass actions and `_exit_single` to handle short exits (BUY to close a short). Let me view `_enter`:

Now fix `_exit_single` and `_place_exit_order` to be short-aware (a SELL position exits with BUY). Let me view them:

Now make the pricing/payload in `_place_exit_order` action-aware (BUY → ask×1.03 snap-up, SELL → bid×0.97 snap-down):

Now the main decision logic rewrite. Let me re-read the current block with fresh line numbers:

Let me read the remainder of check_and_trade:

Now rewrite the decision block — event→action mapping, EXIT handling, max-trades gate, and flip logic:

Now add the two helpers `_action_direction` and `_dry_run_payload`:

Fix the now-invalid fallback in `_enter_multi_leg` (calls `_enter_single` with a direction, but it now takes an action):

Also fix the multi-leg futures direction inference to use qty sign (short future = PE side):

Now syntax-check bot.py:

bot.py compiles. Now dashboard.py — let me look at the status builder and update-config:

STATE_DIR is imported. Now update the add-symbol endpoint:

Now the /api/status builder — check how bots are serialized to include the new fields + trades fired:

The config fields flow through via `**cfg`. I need to add `trades_fired` per bot. Let me add a helper and wire it in both routes:

Backend done. Now the frontend — index.html. This is the biggest UI change: replace the bot_type dropdown with the two action dropdowns, add Max Trades column, update logic column. Let me view the relevant JS sections:

Let me see the table header and the add-symbol form:

Now the frontend changes. Header first:

Now replace BOT_TYPE_OPTIONS with ACTION_OPTIONS:

Now update the table row rendering — replace botTypeCell with two action cells + maxTradesCell:

Now replace `botTypeCell` with `actionSelect` + `maxTradesCell`, and update `logicCell`/`buildLogicSummary`:

Now rewrite `logicCell` to show both event actions:

Now update `buildLogicSummary` (the start popup summary) to use the new action model:

Remove now-unused vars at the top of buildLogicSummary:

Now the add-symbol form — replace Bot Type with the two action dropdowns + max trades. Let me view the form section:

Now update confirmAddSymbol to send the new fields:

Now check for any remaining BOT_TYPE references and the detail-row/start-popup:

The detail row's colspan needs updating (was 25, now 28 columns). Let me check:

Check showAddPopup for references to removed elements:

showAddPopup is clean. Now per pitfall #25 — validate the JS mechanically:

refreshDetail may be inline. Let me check how detail cells get refreshed:

Build status — honest checkpoint. Code is written and syntax-verified, but NOT deployed or live-tested yet. Here's exactly where things stand. DONE (files modified, all compile clean) 1. config.py — loads action_xover, action_xunder, max_trades; add_symbol accepts them. py_compile OK. 2. bot.py — the full event-action engine: - Logger moved earlier in __init__ so the legacy migration can log. - _migrate_legacy_actions: existing bots without action slots get their old behavior auto-derived (xover/gt → enter on CE event + EXIT on PE event; xunder/lt mirrored; reversal → enter both sides; one_time → max_trades=1). So your 3 existing bots keep working unchanged. - Crossover conditions now emit BOTH events: xover fires CE on cross-above and PE on cross-below; xunder is now an alias. Same for the % variants. - Position sync now tracks the held position as an action string (BUY_CE/SELL_CE/BUY_FUT/SELL_FUT/SELL_PE...) — short options and short futures are correctly recognized from qty sign. - _enter_single is action-driven: BUY_FUT/SELL_FUT route through the futures builder (0.1% buffer, tick-snapped) — this FIXES issue 1, the single-leg offset=FUT bug. - _exit_single is short-aware: a short position closes with BUY (bid/ask-first pricing, action-aware). - Max-trades gate: entries stop at the limit, EXIT always allowed, counter persists in state/trade_count_<name>.json across restarts and days. - Main loop: event → action mapping (action_xover for CE event, action_xunder for PE event), EXIT action squares off, "already holding the action" holds, different position flips. 3. dashboard.py — /api/status and / carry trades_fired; changing max_trades resets the counter file; add-symbol passes the new fields; restart list includes action_xover/action_xunder/max_trades. py_compile OK. 4. templates/index.html — On Xover / On Xunder dropdowns (BUY CE/PE, SELL CE/PE, BUY FUT, SELL FUT, EXIT, none), Max Trd column showing fired/max (∞ for unlimited), Logic column now shows both sides ("RSI xover 25 → BUY FUT" + "opposite → EXIT"), start-popup summary rewritten, add-form rebuilt, detail-row colspan fixed. node --check passes; all render functions present. NOT DONE YET (deliberately stopped here) 5. symbols.yaml migration for the 3 existing bots — pending. The bot auto-migrates at start, but I planned to write explicit action_xover/action_xunder into the yaml so the stopped dashboard rows show real values immediately. Your DLF bot would become: xover → BUY_FUT, xunder → EXIT, max_trades whatever you set — exactly "buy DLF future on RSI crossing above 25, sell it back when it crosses below". 6. Deploy — the dashboard service has NOT been restarted. The live site at tradebot.openalgo.theworkpc.com still runs the old code until I restart tradebot-dashboard.service. 7. Live verification — page render, /api/status payload (action fields + trades_fired), and a WAITING-mode dry-run showing the futures payload for DLF. Also the ps-orphan check from HOW_TO_MAKE_A_BOT.md pitfall before any bot start. 8. Skill + docs update (issues 9). One thing to confirm before I finish: nothing here touched the DLF row itself, and no bot is running, so there's zero live risk so far. Your decision: say "deploy" and I'll (a) migrate the 3 yaml entries, (b) restart the dashboard, (c) verify the page + API + a dry-run --once on a stopped bot, then (d) update the skill and docs.