Pipsgrowth EX12076 MultiIndicatorConfluence

Pipsgrowth EX12076 runs ten independent trading strategies on a single EURUSD M1 chart, each strategy firing its own signals and tagging its orders with a unique magic number derived from the base. The base magic is the input Base_Magic_Number = 22212076, and the function GetMagicNumber(strategyIndex) computes the per-strategy magic as 1000 * 22212076 + strategyIndex, so the ten strategies live under the magic range 22212076000 through 22212076009. With hedging accounts, all ten strategies can hold a position at the same time, and the single Max_Open_Positions = 100 input caps the combined portfolio size across every strategy.

Each strategy has its own private entry filter stack and exit filter stack generated by the EA Studio code-generator pipeline (visible in the /STRATEGY CODE {...}/ comment blocks above each signal call in the source). Strategy 0 enters on a triple-confirmation of ADX(9) cross, WPR(8) momentum, and ADX(10) trend pivot, and exits when price re-enters the Envelopes(25, 0.88) band; SL 37 pips, TP 46 pips. Strategy 1 stacks four filters — WPR(7) reclaiming the −37 line, DeMarker(18) below 0.45, StdDev(35) below 0.0045, and WPR(40) direction — and exits on RSI(24) hitting 87; SL 74, TP 56. Strategy 2 uses a dual-AO setup with Accelerator Oscillator direction and a Bollinger(25, 2.51) band touch, and closes on Stochastic(4,1,1) main/signal cross; SL 100, TP 68. Strategy 3 looks for ATR(17) acceleration with Alligator(43/29/29/14/14/4) lips/jaws expansion, and exits on StdDev(26) crossing 0.0052; SL 19, TP 90. Strategy 4 uses AO direction with ADX(37) DI± cross, and exits on Envelopes(23, 0.66) breach; SL 48, TP 93.

Strategy 5 stacks four filters: Stochastic(17,17,15) reclaiming 20, RSI(39) below 44, WPR(39) hook, and WPR(24) direction, with an ADX(43) cross of 38 as the exit; SL 60, TP 90. Strategy 6 uses WPR(25) below −80, ADX(38) above 21, Bollinger(17, 2.49) lower-band touch, and StdDev(8) below 0.0032, with RSI(31) crossing 32 as the exit; SL 37, TP 39. Strategy 7 combines Alligator(20/4/4/3/3/2) with ADX(23) DI± and Stochastic(7,2,1) main/signal, and exits on Envelopes(23, 0.16) band touch; SL 46, TP 96. Strategy 8 uses CCI(37) below 0 with MA(9) hook, and exits on Envelopes(37, 0.64) re-entry; SL 34, TP 71. Strategy 9 fires on Alligator(30/18/18/6/6/5) with MA Crossover(4, 23), and exits on Bollinger(10, 3.95) breach; SL 98, TP 65.

Lot sizing is uniform: a single input Entry_Amount = 0.01 lots is the only size used by every strategy — no per-strategy lot, no money-management scaling, no risk-percent. The number of strategies that can have live positions at once is limited only by Max_Open_Positions (100) and by per-strategy flip semantics: nine of the ten strategies use oppositeEntrySignal=1, meaning an opposite signal closes the existing position and immediately re-enters in the new direction; strategy 0 uses oppositeEntrySignal=0 and just waits for the next bar.

The execution stack is built to be self-healing. ManageOrderSend() retries the order up to TRADE_RETRY_COUNT = 4 times with TRADE_RETRY_WAIT = 100 ms back-off, calling IsTradeContextFree() first, which spins up to 30 seconds on TerminalInfoInteger(TERMINAL_TRADE_ALLOWED) before bailing. If the broker refuses the fill type, CheckOrder() walks orderFillingType through FOK → IOC → RETURN → FOK until OrderCheck returns clean. The trade request uses request.deviation = 10 for slippage tolerance and the magic derived from GetMagicNumber(). Three CTrade-based retry helpers — TryClose_EX12076, TryClosePartial_EX12076, TryModify_EX12076 — wrap PositionClose / PositionClosePartial / PositionModify with three attempts on REQUOTE / TIMEOUT / PRICE_OFF / PRICE_CHANGED, with 200 ms or 100 ms back-off per retcode. ManageTrailingStop() also watches for the case where the ratcheted stop would cross the current Bid/Ask and closes the position instead of producing a negative-distance stop.

The session gate defaults to 24/7 (sessionSundayOpen=0, sessionSundayClose=86400, sessionMondayThursdayOpen=0, sessionMondayThursdayClose=86400, sessionFridayOpen=0, sessionFridayClose=86400) with sessionCloseAtSessionClose=false and sessionCloseAtFridayClose=false, so OnBar() runs on every M1 bar of every weekday and IsForceSessionClose() never fires. TesterHideIndicators(true) is set at the top of InitIndicatorHandlers() and false at the bottom so the visual chart stays clean during back-test. OnInit stores barTime = Time(0), fetches stopLevel from SYMBOL_TRADE_STOPS_LEVEL, and computes pip = 0.0001 for 4/5-digit brokers, 0.01 for 2/3-digit.

The portfolio is shaped for the EURUSD M1 micro-swing style: short pip targets (most SL/TP bands sit in the 20–100 pip range), 0.01-lot micro-positions, and per-strategy diversification that lets a trending strategy (S3, S7, S9) coexist with a mean-reversion strategy (S1, S6, S8) in the same account. With ten different indicator taxonomies (ADX, WPR, DeMarker, AO/AC, Bollinger, Stochastic, Alligator, MA, CCI, Envelopes) firing in parallel, the EA produces a continuous flow of small, diversely-correlated trades rather than concentrated directional bets. The cost is operational: 35 native indicator handles (5 entries + 5 exits per strategy × 2 buffers typical) plus per-strategy position bookkeeping, all running once per M1 bar.

In back-test on EURUSD M1 the EA tends to deliver a flat-to-positive equity curve with shallow drawdowns provided spreads stay under 1.0 pip and the broker tolerates a large count of small positions. Live traders should consider a sub-account or a sub-balance allocation of at least $1,000 per 0.01-lot pair-strategy cluster, an ECN or RAW-spread account for sub-pip execution, and a VPS with sub-25 ms latency to the broker's matching engine so the 100 ms retry budget inside ManageOrderSend() is sufficient to absorb requotes on the 1-minute timeframe.